rabbit ace2 Search Results


93
Sino Biological anti hace2 antibody
Generation of the SARS-CoV-2 N conditional knock-in mouse model. a Schematic diagrams illustrating the knock-in strategy, in which the CAG-loxP-Stop-loxP-SARS-CoV-2 N-WPRE-PolyA sequence was inserted into the Tigre locus on chromosome 9, using the <t>K18-hACE2</t> KI mouse background (N-hACE2 mouse). The stop sequence was flanked by two loxP sites, and upon expression of Cre recombinase, the stop sequence located between these loxP sites was excised. N-hACE2 mice were crossed with Rosa26 SA-CreERT2 or Sftpc-IRES-iCre mice, resulting in the generation of SA-N-hACE2 (TAM-inducible systemic Cre expression) and Sftpc-N-hACE2 (lung-specific Cre expression) mice. b N-hACE2 mouse genotyping by PCR showed the presence of N gene and hACE2 gene fragments. M: GimiRun DM5000 DNA Marker. c PCR confirmed excision of the stop sequence between loxP sites in SA-N-hACE2 mice after 5 days of TAM injection. Western blot analysis of SARS-CoV-2 N protein expression in multiple tissues from SA-N-hACE2 mice after TAM induction ( d ) and from Sftpc-N-hACE2 mice ( e ). f Immunofluorescence staining of lung sections was conducted using 4,6-diamidino-2-phenylindole (DAPI, blue), an anti-SARS-CoV-2 N antibody (red), and an anti-hACE2 antibody (green) to evaluate the expression of SARS-CoV-2 N and hACE2 in lung cells
Anti Hace2 Antibody, supplied by Sino Biological, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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95
Genecopoeia ace2
SH42 reduces cholesterol abundance in the plasma membrane in general and lipid rafts in particular, and decreases lipid raft area more efficiently than atorvastatin (ATO). Control HEK293T (A) and Calu-3 (B) cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were labeled with cholesterol-binding mCherry-conjugated D4H*, the D434S mutant of domain 4 (D4) of C. perfringens theta-toxin. Fluorescence intensities correlating with plasma membrane cholesterol levels of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The average intensity values obtained in n = 9 independent biological replicates, and their average values (± SEM) are plotted in the figure. (C) To examine changes in the cholesterol content of raft and non-raft microdomains of the plasma membrane, control <t>HEK/ACE2</t> + TMPRSS2 cells and those treated as above were labeled with Alexa Fluor 647-conjugated cholera toxin subunit B (CTX-AF647), a lipid raft marker, and F66. F66 is a fluorescent indicator with spectral properties depending on the cholesterol-dependent local molecular order (dipole potential) of the membrane; therefore, this dye, combined with CTX-AF647, can provide information about the extent of cholesterol reduction separately in raft and non-raft membrane regions. Representative confocal microscopic images taken from the flat, bottom membrane region adjacent to the coverglass show F66 intensities detected in 2 wavelength ranges of emission (“F66 N*” and “F66 T*”), their ratio (“F66 emission ratio” calculated as T*/N* pixel by pixel), and CTX-AF647 intensities. Cell “membrane masks” selected manually in CTX images were segmented using the maxentropy algorithm to CTX-high “rafts” and CTX-low “non-rafts” corresponding to high- and low-intensity regions, respectively, as shown by the representative images. Violin plots were generated from median F66 emission ratio values determined separately for the CTX-high “raft” (D) and CTX-low “non-raft” (E) masks of n = 54 to 73 individual cells, which also display median values with quartiles. (F) Pixelwise distributions of the F66 emission ratio in CTX-high “rafts” and CTX-low “non-rafts” of control cells are displayed. For the quantification of the relative area of lipid rafts, as an alternative definition for raft regions, a threshold value of the F66 emission ratio was determined (green dashed line) and membrane pixels were considered as “F66 raft” and “F66 non-raft” regions when being above and below the threshold, respectively. (G) Violin plots were generated from the relative fraction of F66 raft pixels (“F66 raft area”) of individual cells, which also display median values with quartiles. (H) Representative images show changes in the lateral distribution of the F66 emission ratio on a color-scale image and reduction in the relative F66 raft area induced by 1 μM SH42. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( # P < 0.05, ## P < 0.01, ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.
Ace2, supplied by Genecopoeia, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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94
Cell Signaling Technology Inc anti ace2
SH42 reduces cholesterol abundance in the plasma membrane in general and lipid rafts in particular, and decreases lipid raft area more efficiently than atorvastatin (ATO). Control HEK293T (A) and Calu-3 (B) cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were labeled with cholesterol-binding mCherry-conjugated D4H*, the D434S mutant of domain 4 (D4) of C. perfringens theta-toxin. Fluorescence intensities correlating with plasma membrane cholesterol levels of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The average intensity values obtained in n = 9 independent biological replicates, and their average values (± SEM) are plotted in the figure. (C) To examine changes in the cholesterol content of raft and non-raft microdomains of the plasma membrane, control <t>HEK/ACE2</t> + TMPRSS2 cells and those treated as above were labeled with Alexa Fluor 647-conjugated cholera toxin subunit B (CTX-AF647), a lipid raft marker, and F66. F66 is a fluorescent indicator with spectral properties depending on the cholesterol-dependent local molecular order (dipole potential) of the membrane; therefore, this dye, combined with CTX-AF647, can provide information about the extent of cholesterol reduction separately in raft and non-raft membrane regions. Representative confocal microscopic images taken from the flat, bottom membrane region adjacent to the coverglass show F66 intensities detected in 2 wavelength ranges of emission (“F66 N*” and “F66 T*”), their ratio (“F66 emission ratio” calculated as T*/N* pixel by pixel), and CTX-AF647 intensities. Cell “membrane masks” selected manually in CTX images were segmented using the maxentropy algorithm to CTX-high “rafts” and CTX-low “non-rafts” corresponding to high- and low-intensity regions, respectively, as shown by the representative images. Violin plots were generated from median F66 emission ratio values determined separately for the CTX-high “raft” (D) and CTX-low “non-raft” (E) masks of n = 54 to 73 individual cells, which also display median values with quartiles. (F) Pixelwise distributions of the F66 emission ratio in CTX-high “rafts” and CTX-low “non-rafts” of control cells are displayed. For the quantification of the relative area of lipid rafts, as an alternative definition for raft regions, a threshold value of the F66 emission ratio was determined (green dashed line) and membrane pixels were considered as “F66 raft” and “F66 non-raft” regions when being above and below the threshold, respectively. (G) Violin plots were generated from the relative fraction of F66 raft pixels (“F66 raft area”) of individual cells, which also display median values with quartiles. (H) Representative images show changes in the lateral distribution of the F66 emission ratio on a color-scale image and reduction in the relative F66 raft area induced by 1 μM SH42. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( # P < 0.05, ## P < 0.01, ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.
Anti Ace2, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Absolute Biotech Inc rabbit elisa kit
TLR4 signalling regulates distribution of PCSK9 expression along the aorta. (A) Effect of TLR4 inhibitor TAK-242, MyD88 inhibitor Pepinh-MYD, TRIF inhibitor Pepinh-TRIF, and NF-κB Helenalin on PCSK9 levels, measured by <t>ELISA.</t> (B) LPS injection induces expression of pro-inflammatory cytokines IL-1β, IL-18, MCP-1, <t>IL-6,</t> <t>TNFα,</t> IL-12, IFNγ, and GM-CSF. Measured by ELISA in serum on day 3 HFD group; rabbits treated with or without LPS. Bar graphs represent data compiled from three independent experiments (n = 7 rabbit per genotype), shown as mean ± standard deviation. The significances between two groups were tested by unpaired t-test; Multiple comparisons were analysed by one-way ANOVA, followed by Tukey’s post hoc comparisons test (**P < 0.01; ****P < 0.0001).
Rabbit Elisa Kit, supplied by Absolute Biotech Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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94
Sino Biological anti ace2
TLR4 signalling regulates distribution of PCSK9 expression along the aorta. (A) Effect of TLR4 inhibitor TAK-242, MyD88 inhibitor Pepinh-MYD, TRIF inhibitor Pepinh-TRIF, and NF-κB Helenalin on PCSK9 levels, measured by <t>ELISA.</t> (B) LPS injection induces expression of pro-inflammatory cytokines IL-1β, IL-18, MCP-1, <t>IL-6,</t> <t>TNFα,</t> IL-12, IFNγ, and GM-CSF. Measured by ELISA in serum on day 3 HFD group; rabbits treated with or without LPS. Bar graphs represent data compiled from three independent experiments (n = 7 rabbit per genotype), shown as mean ± standard deviation. The significances between two groups were tested by unpaired t-test; Multiple comparisons were analysed by one-way ANOVA, followed by Tukey’s post hoc comparisons test (**P < 0.01; ****P < 0.0001).
Anti Ace2, supplied by Sino Biological, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bioss rabbit polyclonal anti col
TLR4 signalling regulates distribution of PCSK9 expression along the aorta. (A) Effect of TLR4 inhibitor TAK-242, MyD88 inhibitor Pepinh-MYD, TRIF inhibitor Pepinh-TRIF, and NF-κB Helenalin on PCSK9 levels, measured by <t>ELISA.</t> (B) LPS injection induces expression of pro-inflammatory cytokines IL-1β, IL-18, MCP-1, <t>IL-6,</t> <t>TNFα,</t> IL-12, IFNγ, and GM-CSF. Measured by ELISA in serum on day 3 HFD group; rabbits treated with or without LPS. Bar graphs represent data compiled from three independent experiments (n = 7 rabbit per genotype), shown as mean ± standard deviation. The significances between two groups were tested by unpaired t-test; Multiple comparisons were analysed by one-way ANOVA, followed by Tukey’s post hoc comparisons test (**P < 0.01; ****P < 0.0001).
Rabbit Polyclonal Anti Col, supplied by Bioss, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Sino Biological anti ace2 antibody
a Workflow indicating identification of <t>ACE2-binding</t> peptides. After virtual screening, for each high-scoring candidate peptide, in vitro experiments were performed to validate its binding ability to ACE2. Picture represents 3D structure of ACE2 (PDB ID: 3D0G) and binding site (red sphere) for virtual screening. Key residue side chains are shown in blue. b Top 3D structure represents surface analysis of the binding site of ACE2 with SARS-COV-2 spike protein. Red circle marks binding site of ACE2 with SARS-COV-2 spike protein. Red and blue arrows show high charge areas in pocket by creating an interpolated charge surface; green and purple arrows point to porose area and hydrophobic domain, respectively. Middle 3D complex structure represents interaction between protein ACE2 and peptide drug dalbavancin after molecular dynamics simulation. Red structure represents dalbavancin, and green residues represent the four residues (Glu329, Gln325, Gln42, and Asp38) important for the binding of SARS-CoV-2 spike to ACE2. Lime, pale green, mint, and violet dashed lines in bottom picture represent hydrogen bonds, van der Waals bonds, Pi-Donor hydrogen bonds, and Pi-Alkyl bonds, respectively.
Anti Ace2 Antibody, supplied by Sino Biological, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Sino Biological ace2
a SARS-CoV-2 replication kinetics in HAE from different donors, HCoV-NL63 was used as a control ( n = 3). b Transepithelial electrical resistance (TEER in Ω cm 2 ) between the apical and basal poles was measured at each time point ( n = 3). c SARS-CoV-2 infected both ciliated cells (72 h pi) and secretory cells (72 h pi). arrows: virus particles, arrowhead: cilium, asterisk: secretory vesicle, insets dashed-line squares indicate magnification of arrowed areas. d Costaining of SARS-CoV-2 N protein (green) with ciliated cell marker β-tubulin-IV (red), goblet cell marker Muc5AC (red), club cell marker CCSP (red), and <t>ACE2</t> (red) positive cells. HCoV-NL63 N protein (green) staining was used as a control (72 h pi). Nuclei were stained with 4’,6-diamidino-2-phenylindole (DAPI) (blue). Data a , b are the means ± s.d. of three independent biological replicates. Source data a – d are provided as a Source Data file.
Ace2, supplied by Sino Biological, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Sino Biological recombinant anti ace2 antibody
Virtual screening of aromatic compounds effectively inhibiting <t>ACE2-Spike</t> interaction. (A) The heatmap of molecular docking structures of 47 aromatic compounds with different con-formations of Spike and ACE2. The color represents the docking binding energy, with a redder color indicating a more stable binding capacity. The top 10 compounds (indicated in red) were utilized for subsequent experimental detections. (B) Structure and classification of 10 potentially effective compounds. (C) The protein pockets (in gray) where the top 10 compounds (in yellow) bind to different conformations of Spike and ACE2. Spike-RBD-1up/Spike-RBD-3down: RBD is highlighted in solid color; Spike-RBD-2up: The S1 and S2 subunits involved in the pocket are emphasized in solid color; RBD-ACE2: RBD is presented in blue, ACE2 in green, the RBM se-quence in direct contact with ACE2 is in pink, and the interface in direct contact with RBD on ACE2 is in red.
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Bioss anti ace2
Virtual screening of aromatic compounds effectively inhibiting <t>ACE2-Spike</t> interaction. (A) The heatmap of molecular docking structures of 47 aromatic compounds with different con-formations of Spike and ACE2. The color represents the docking binding energy, with a redder color indicating a more stable binding capacity. The top 10 compounds (indicated in red) were utilized for subsequent experimental detections. (B) Structure and classification of 10 potentially effective compounds. (C) The protein pockets (in gray) where the top 10 compounds (in yellow) bind to different conformations of Spike and ACE2. Spike-RBD-1up/Spike-RBD-3down: RBD is highlighted in solid color; Spike-RBD-2up: The S1 and S2 subunits involved in the pocket are emphasized in solid color; RBD-ACE2: RBD is presented in blue, ACE2 in green, the RBM se-quence in direct contact with ACE2 is in pink, and the interface in direct contact with RBD on ACE2 is in red.
Anti Ace2, supplied by Bioss, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio-Rad primary rabbit anti human antibodies
Virtual screening of aromatic compounds effectively inhibiting <t>ACE2-Spike</t> interaction. (A) The heatmap of molecular docking structures of 47 aromatic compounds with different con-formations of Spike and ACE2. The color represents the docking binding energy, with a redder color indicating a more stable binding capacity. The top 10 compounds (indicated in red) were utilized for subsequent experimental detections. (B) Structure and classification of 10 potentially effective compounds. (C) The protein pockets (in gray) where the top 10 compounds (in yellow) bind to different conformations of Spike and ACE2. Spike-RBD-1up/Spike-RBD-3down: RBD is highlighted in solid color; Spike-RBD-2up: The S1 and S2 subunits involved in the pocket are emphasized in solid color; RBD-ACE2: RBD is presented in blue, ACE2 in green, the RBM se-quence in direct contact with ACE2 is in pink, and the interface in direct contact with RBD on ACE2 is in red.
Primary Rabbit Anti Human Antibodies, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Generation of the SARS-CoV-2 N conditional knock-in mouse model. a Schematic diagrams illustrating the knock-in strategy, in which the CAG-loxP-Stop-loxP-SARS-CoV-2 N-WPRE-PolyA sequence was inserted into the Tigre locus on chromosome 9, using the K18-hACE2 KI mouse background (N-hACE2 mouse). The stop sequence was flanked by two loxP sites, and upon expression of Cre recombinase, the stop sequence located between these loxP sites was excised. N-hACE2 mice were crossed with Rosa26 SA-CreERT2 or Sftpc-IRES-iCre mice, resulting in the generation of SA-N-hACE2 (TAM-inducible systemic Cre expression) and Sftpc-N-hACE2 (lung-specific Cre expression) mice. b N-hACE2 mouse genotyping by PCR showed the presence of N gene and hACE2 gene fragments. M: GimiRun DM5000 DNA Marker. c PCR confirmed excision of the stop sequence between loxP sites in SA-N-hACE2 mice after 5 days of TAM injection. Western blot analysis of SARS-CoV-2 N protein expression in multiple tissues from SA-N-hACE2 mice after TAM induction ( d ) and from Sftpc-N-hACE2 mice ( e ). f Immunofluorescence staining of lung sections was conducted using 4,6-diamidino-2-phenylindole (DAPI, blue), an anti-SARS-CoV-2 N antibody (red), and an anti-hACE2 antibody (green) to evaluate the expression of SARS-CoV-2 N and hACE2 in lung cells

Journal: Signal Transduction and Targeted Therapy

Article Title: A biosafe mouse model for SARS-CoV-2 infection that more realistically simulates COVID-19 symptoms

doi: 10.1038/s41392-026-02640-5

Figure Lengend Snippet: Generation of the SARS-CoV-2 N conditional knock-in mouse model. a Schematic diagrams illustrating the knock-in strategy, in which the CAG-loxP-Stop-loxP-SARS-CoV-2 N-WPRE-PolyA sequence was inserted into the Tigre locus on chromosome 9, using the K18-hACE2 KI mouse background (N-hACE2 mouse). The stop sequence was flanked by two loxP sites, and upon expression of Cre recombinase, the stop sequence located between these loxP sites was excised. N-hACE2 mice were crossed with Rosa26 SA-CreERT2 or Sftpc-IRES-iCre mice, resulting in the generation of SA-N-hACE2 (TAM-inducible systemic Cre expression) and Sftpc-N-hACE2 (lung-specific Cre expression) mice. b N-hACE2 mouse genotyping by PCR showed the presence of N gene and hACE2 gene fragments. M: GimiRun DM5000 DNA Marker. c PCR confirmed excision of the stop sequence between loxP sites in SA-N-hACE2 mice after 5 days of TAM injection. Western blot analysis of SARS-CoV-2 N protein expression in multiple tissues from SA-N-hACE2 mice after TAM induction ( d ) and from Sftpc-N-hACE2 mice ( e ). f Immunofluorescence staining of lung sections was conducted using 4,6-diamidino-2-phenylindole (DAPI, blue), an anti-SARS-CoV-2 N antibody (red), and an anti-hACE2 antibody (green) to evaluate the expression of SARS-CoV-2 N and hACE2 in lung cells

Article Snippet: The antibodies used for IFAs were as follows: anti-hACE2 antibody (Sino Biological, 10108-RP01), anti-SARS-CoV-2 N antibody (Sino Biological, 40143-MM05), anti-GFP antibody (Sino Biological, 13105-R208), anti-IBA1 antibody (Abways, CY7217), anti-Ly6G antibody (Servicebio, GB11229), anti-CD68 antibody (Starter, SOB2064), anti-CD19 antibody (Servicebio, GB11061), anti-CD3 antibody (AiFang Biological, AFRM0030), anti-CD4 antibody (Abcam, ab183685), and anti-CD8 antibody (Abcam, ab217344).

Techniques: Knock-In, Sequencing, Expressing, Marker, Injection, Western Blot, Immunofluorescence, Staining

SA-N-hACE2 mice are susceptible to SARS-CoV-2 ΔN/GFP-HiBiT infection. a Experimental design for intranasal infection. After TAM treatment, SA-N-hACE2 mice were infected either with 5 × 10 4 or 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. Tissue samples were collected at the indicated dpi. b Changes in the weights of the mice are shown ( n = 4 per group). c qRT‒PCR was used to quantify viral loads in tissues at 7 dpi ( n = 4 per group). The viral loads ( d ) and luminescence ( e ) were measured in the lungs collected at 2, 4, and 7 dpi ( n = 4 per group). f Immunofluorescence staining of lung sections at 2, 4, and 7 dpi was conducted using DAPI (blue) and an anti-GFP antibody (green) specific to GFP in SARS-CoV-2 ΔN/GFP-HiBiT. g – j Pathological changes observed using H&E staining in lung ( g ) and brain ( i ) tissues from SA-N-hACE2 mice challenged with 1 × 10 6 TCID 50 at 0, 2, 4, and 7 dpi. Pathology scores for the lungs ( h ) and brain ( j ) were calculated ( n = 4 per group). Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( h ). ns not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. ND not detected

Journal: Signal Transduction and Targeted Therapy

Article Title: A biosafe mouse model for SARS-CoV-2 infection that more realistically simulates COVID-19 symptoms

doi: 10.1038/s41392-026-02640-5

Figure Lengend Snippet: SA-N-hACE2 mice are susceptible to SARS-CoV-2 ΔN/GFP-HiBiT infection. a Experimental design for intranasal infection. After TAM treatment, SA-N-hACE2 mice were infected either with 5 × 10 4 or 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. Tissue samples were collected at the indicated dpi. b Changes in the weights of the mice are shown ( n = 4 per group). c qRT‒PCR was used to quantify viral loads in tissues at 7 dpi ( n = 4 per group). The viral loads ( d ) and luminescence ( e ) were measured in the lungs collected at 2, 4, and 7 dpi ( n = 4 per group). f Immunofluorescence staining of lung sections at 2, 4, and 7 dpi was conducted using DAPI (blue) and an anti-GFP antibody (green) specific to GFP in SARS-CoV-2 ΔN/GFP-HiBiT. g – j Pathological changes observed using H&E staining in lung ( g ) and brain ( i ) tissues from SA-N-hACE2 mice challenged with 1 × 10 6 TCID 50 at 0, 2, 4, and 7 dpi. Pathology scores for the lungs ( h ) and brain ( j ) were calculated ( n = 4 per group). Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( h ). ns not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. ND not detected

Article Snippet: The antibodies used for IFAs were as follows: anti-hACE2 antibody (Sino Biological, 10108-RP01), anti-SARS-CoV-2 N antibody (Sino Biological, 40143-MM05), anti-GFP antibody (Sino Biological, 13105-R208), anti-IBA1 antibody (Abways, CY7217), anti-Ly6G antibody (Servicebio, GB11229), anti-CD68 antibody (Starter, SOB2064), anti-CD19 antibody (Servicebio, GB11061), anti-CD3 antibody (AiFang Biological, AFRM0030), anti-CD4 antibody (Abcam, ab183685), and anti-CD8 antibody (Abcam, ab217344).

Techniques: Infection, Immunofluorescence, Staining

Sftpc-N-hACE2 mice are susceptible to SARS-CoV-2 ΔN/GFP-HiBiT infection. a Illustration of the protocol for intranasal infection with tissue samples collected at the indicated dpi. Sftpc-N-hACE2 mice were infected with 5 × 10 4 or 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. b Changes in the body weights of the mice are shown ( n = 4 per group). c Viral loads in the tissues obtained at 7 dpi were quantified via qRT‒PCR ( n = 4 per group). The viral loads ( d ) and luminescence ( e ) were measured in the lungs collected at 2, 4, and 7 dpi ( n = 4 per group). f Immunofluorescence staining of lung sections at 2, 4, and 7 dpi was conducted using DAPI (blue) and an anti-GFP antibody (green) specific to GFP in SARS-CoV-2 ΔN/GFP-HiBiT. g – j Pathological changes in the lungs ( g ) and brains ( i ) of Sftpc-N-hACE2 mice challenged with 1 × 10 6 TCID 50 at 0, 2, 4, and 7 dpi were assessed using H&E staining. Pathology scores for the lungs ( h ) and brains ( j ) are shown ( n = 4 per group). Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( h ). ns not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. ND not detected

Journal: Signal Transduction and Targeted Therapy

Article Title: A biosafe mouse model for SARS-CoV-2 infection that more realistically simulates COVID-19 symptoms

doi: 10.1038/s41392-026-02640-5

Figure Lengend Snippet: Sftpc-N-hACE2 mice are susceptible to SARS-CoV-2 ΔN/GFP-HiBiT infection. a Illustration of the protocol for intranasal infection with tissue samples collected at the indicated dpi. Sftpc-N-hACE2 mice were infected with 5 × 10 4 or 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. b Changes in the body weights of the mice are shown ( n = 4 per group). c Viral loads in the tissues obtained at 7 dpi were quantified via qRT‒PCR ( n = 4 per group). The viral loads ( d ) and luminescence ( e ) were measured in the lungs collected at 2, 4, and 7 dpi ( n = 4 per group). f Immunofluorescence staining of lung sections at 2, 4, and 7 dpi was conducted using DAPI (blue) and an anti-GFP antibody (green) specific to GFP in SARS-CoV-2 ΔN/GFP-HiBiT. g – j Pathological changes in the lungs ( g ) and brains ( i ) of Sftpc-N-hACE2 mice challenged with 1 × 10 6 TCID 50 at 0, 2, 4, and 7 dpi were assessed using H&E staining. Pathology scores for the lungs ( h ) and brains ( j ) are shown ( n = 4 per group). Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( h ). ns not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. ND not detected

Article Snippet: The antibodies used for IFAs were as follows: anti-hACE2 antibody (Sino Biological, 10108-RP01), anti-SARS-CoV-2 N antibody (Sino Biological, 40143-MM05), anti-GFP antibody (Sino Biological, 13105-R208), anti-IBA1 antibody (Abways, CY7217), anti-Ly6G antibody (Servicebio, GB11229), anti-CD68 antibody (Starter, SOB2064), anti-CD19 antibody (Servicebio, GB11061), anti-CD3 antibody (AiFang Biological, AFRM0030), anti-CD4 antibody (Abcam, ab183685), and anti-CD8 antibody (Abcam, ab217344).

Techniques: Infection, Immunofluorescence, Staining

SARS-CoV-2 ΔN/GFP-HiBiT infection in Sftpc-N-hACE2 mice can lead to lethal disease. a The schematic outlines the procedure for infecting the mice with 5 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. At 0, 7, 10, 14, and 21 dpi, four mice were euthanized at each time point for sample collection. Mice that experienced a loss of more than 20% of their initial body weight were euthanized as a humane endpoint. Mice were monitored for body weight changes ( b ) and survival ( c ) ( n = 16). E gene copies in lung ( d ) and brain ( e ) tissues were quantified via qRT‒PCR. f – i Pathological changes were assessed using H&E staining in the lungs ( f ) and brains ( g ). Pathology scores for the lungs ( h ) and brains ( i ) were recorded ( n = 4 per group). j Immunofluorescence staining of brain sections was performed using DAPI (blue) and an anti-GFP antibody (green) specific to GFP in SARS-CoV-2 ΔN/GFP-HiBiT. k Immunofluorescence analysis was performed on brain sections from mock-infected mice, K18-hACE2 KI mice challenged with live SARS-CoV-2, and both SA-N-hACE2 and Sftpc-N-hACE2 mice exposed to SARS-CoV-2 ΔN/GFP-HiBiT. The sections were stained with anti-IBA1 (red) and anti-CD68 (green) antibodies. l Light-sheet imaging of cleared lung tissues from Sftpc-N-hACE2 mice at 7 dpi confirmed the distribution of SARS-CoV-2 N in lung epithelial cells and SARS-CoV-2 ΔN/GFP-HiBiT infection. Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( h ). ns not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. ND not detected

Journal: Signal Transduction and Targeted Therapy

Article Title: A biosafe mouse model for SARS-CoV-2 infection that more realistically simulates COVID-19 symptoms

doi: 10.1038/s41392-026-02640-5

Figure Lengend Snippet: SARS-CoV-2 ΔN/GFP-HiBiT infection in Sftpc-N-hACE2 mice can lead to lethal disease. a The schematic outlines the procedure for infecting the mice with 5 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. At 0, 7, 10, 14, and 21 dpi, four mice were euthanized at each time point for sample collection. Mice that experienced a loss of more than 20% of their initial body weight were euthanized as a humane endpoint. Mice were monitored for body weight changes ( b ) and survival ( c ) ( n = 16). E gene copies in lung ( d ) and brain ( e ) tissues were quantified via qRT‒PCR. f – i Pathological changes were assessed using H&E staining in the lungs ( f ) and brains ( g ). Pathology scores for the lungs ( h ) and brains ( i ) were recorded ( n = 4 per group). j Immunofluorescence staining of brain sections was performed using DAPI (blue) and an anti-GFP antibody (green) specific to GFP in SARS-CoV-2 ΔN/GFP-HiBiT. k Immunofluorescence analysis was performed on brain sections from mock-infected mice, K18-hACE2 KI mice challenged with live SARS-CoV-2, and both SA-N-hACE2 and Sftpc-N-hACE2 mice exposed to SARS-CoV-2 ΔN/GFP-HiBiT. The sections were stained with anti-IBA1 (red) and anti-CD68 (green) antibodies. l Light-sheet imaging of cleared lung tissues from Sftpc-N-hACE2 mice at 7 dpi confirmed the distribution of SARS-CoV-2 N in lung epithelial cells and SARS-CoV-2 ΔN/GFP-HiBiT infection. Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( h ). ns not significant; * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001. ND not detected

Article Snippet: The antibodies used for IFAs were as follows: anti-hACE2 antibody (Sino Biological, 10108-RP01), anti-SARS-CoV-2 N antibody (Sino Biological, 40143-MM05), anti-GFP antibody (Sino Biological, 13105-R208), anti-IBA1 antibody (Abways, CY7217), anti-Ly6G antibody (Servicebio, GB11229), anti-CD68 antibody (Starter, SOB2064), anti-CD19 antibody (Servicebio, GB11061), anti-CD3 antibody (AiFang Biological, AFRM0030), anti-CD4 antibody (Abcam, ab183685), and anti-CD8 antibody (Abcam, ab217344).

Techniques: Infection, Staining, Immunofluorescence, Imaging

Transcriptomic profiling of the lungs of SA-N-hACE2 and Sftpc-N-hACE2 mice revealed distinct molecular features. a Scheme illustrating the transcriptome sequencing. Gene expression heatmaps of IFN-I-related genes ( b ) and cytokines and chemokines ( c ) in the lungs of the mice. Mock: PBS-treated mice; the SA-N-hACE2 and Sftpc-N-hACE2 mice were infected with 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. d Bubble plot showing gene set enrichment analysis (GSEA) results for pathways enriched in the lungs of the infected mice. The color scale indicates normalized enrichment scores (NES), while the size of the bubbles corresponds to −log 10 ( p values)

Journal: Signal Transduction and Targeted Therapy

Article Title: A biosafe mouse model for SARS-CoV-2 infection that more realistically simulates COVID-19 symptoms

doi: 10.1038/s41392-026-02640-5

Figure Lengend Snippet: Transcriptomic profiling of the lungs of SA-N-hACE2 and Sftpc-N-hACE2 mice revealed distinct molecular features. a Scheme illustrating the transcriptome sequencing. Gene expression heatmaps of IFN-I-related genes ( b ) and cytokines and chemokines ( c ) in the lungs of the mice. Mock: PBS-treated mice; the SA-N-hACE2 and Sftpc-N-hACE2 mice were infected with 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT. d Bubble plot showing gene set enrichment analysis (GSEA) results for pathways enriched in the lungs of the infected mice. The color scale indicates normalized enrichment scores (NES), while the size of the bubbles corresponds to −log 10 ( p values)

Article Snippet: The antibodies used for IFAs were as follows: anti-hACE2 antibody (Sino Biological, 10108-RP01), anti-SARS-CoV-2 N antibody (Sino Biological, 40143-MM05), anti-GFP antibody (Sino Biological, 13105-R208), anti-IBA1 antibody (Abways, CY7217), anti-Ly6G antibody (Servicebio, GB11229), anti-CD68 antibody (Starter, SOB2064), anti-CD19 antibody (Servicebio, GB11061), anti-CD3 antibody (AiFang Biological, AFRM0030), anti-CD4 antibody (Abcam, ab183685), and anti-CD8 antibody (Abcam, ab217344).

Techniques: Sequencing, Gene Expression, Infection

Assessment of anti-SARS-CoV-2 therapeutics using SA-N-hACE2 and Sftpc-N-hACE2 mouse models. a This schematic diagram illustrates the procedure for evaluating the neutralizing antibody 7B3 and NMV. SA-N-hACE2, Sftpc-N-hACE2, and K18-hACE2 KI mice received 10 mg/kg of 7B3 at 1 dpi or 300 mg/kg NMV via oral gavage from 0–3 dpi. SA-N-hACE2 and Sftpc-N-hACE2 mice were challenged with 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT, whereas K18-hACE2 KI mice were infected with 3.57 × 10 2 TCID 50 of SARS-CoV-2 WT at 0 dpi. At 4 dpi, all mice were sacrificed, and lung samples were collected. The expression of the viral E gene in lung tissues from mock-, NMV- and 7B3-treated SA-N-hACE2 ( b ), Sftpc-N-hACE2 ( c ) and K18-hACE2 KI mice ( d ) was quantified via qRT‒PCR ( n = 4 per group). e – j Lung tissues from mock-, NMV-, and 7B3-treated SA-N-hACE2 ( e ), Sftpc-N-hACE2 ( f ), and K18-hACE2 KI ( g ) mice were analyzed using H&E staining to assess pathological changes, with histological scores documented for each group ( n = 4 per group) ( h – j ). Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( b – d , h – j ). * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001

Journal: Signal Transduction and Targeted Therapy

Article Title: A biosafe mouse model for SARS-CoV-2 infection that more realistically simulates COVID-19 symptoms

doi: 10.1038/s41392-026-02640-5

Figure Lengend Snippet: Assessment of anti-SARS-CoV-2 therapeutics using SA-N-hACE2 and Sftpc-N-hACE2 mouse models. a This schematic diagram illustrates the procedure for evaluating the neutralizing antibody 7B3 and NMV. SA-N-hACE2, Sftpc-N-hACE2, and K18-hACE2 KI mice received 10 mg/kg of 7B3 at 1 dpi or 300 mg/kg NMV via oral gavage from 0–3 dpi. SA-N-hACE2 and Sftpc-N-hACE2 mice were challenged with 1 × 10 6 TCID 50 of SARS-CoV-2 ΔN/GFP-HiBiT, whereas K18-hACE2 KI mice were infected with 3.57 × 10 2 TCID 50 of SARS-CoV-2 WT at 0 dpi. At 4 dpi, all mice were sacrificed, and lung samples were collected. The expression of the viral E gene in lung tissues from mock-, NMV- and 7B3-treated SA-N-hACE2 ( b ), Sftpc-N-hACE2 ( c ) and K18-hACE2 KI mice ( d ) was quantified via qRT‒PCR ( n = 4 per group). e – j Lung tissues from mock-, NMV-, and 7B3-treated SA-N-hACE2 ( e ), Sftpc-N-hACE2 ( f ), and K18-hACE2 KI ( g ) mice were analyzed using H&E staining to assess pathological changes, with histological scores documented for each group ( n = 4 per group) ( h – j ). Data are presented as means ± SD. Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons test ( b – d , h – j ). * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001

Article Snippet: The antibodies used for IFAs were as follows: anti-hACE2 antibody (Sino Biological, 10108-RP01), anti-SARS-CoV-2 N antibody (Sino Biological, 40143-MM05), anti-GFP antibody (Sino Biological, 13105-R208), anti-IBA1 antibody (Abways, CY7217), anti-Ly6G antibody (Servicebio, GB11229), anti-CD68 antibody (Starter, SOB2064), anti-CD19 antibody (Servicebio, GB11061), anti-CD3 antibody (AiFang Biological, AFRM0030), anti-CD4 antibody (Abcam, ab183685), and anti-CD8 antibody (Abcam, ab217344).

Techniques: Infection, Expressing, Staining

SH42 reduces cholesterol abundance in the plasma membrane in general and lipid rafts in particular, and decreases lipid raft area more efficiently than atorvastatin (ATO). Control HEK293T (A) and Calu-3 (B) cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were labeled with cholesterol-binding mCherry-conjugated D4H*, the D434S mutant of domain 4 (D4) of C. perfringens theta-toxin. Fluorescence intensities correlating with plasma membrane cholesterol levels of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The average intensity values obtained in n = 9 independent biological replicates, and their average values (± SEM) are plotted in the figure. (C) To examine changes in the cholesterol content of raft and non-raft microdomains of the plasma membrane, control HEK/ACE2 + TMPRSS2 cells and those treated as above were labeled with Alexa Fluor 647-conjugated cholera toxin subunit B (CTX-AF647), a lipid raft marker, and F66. F66 is a fluorescent indicator with spectral properties depending on the cholesterol-dependent local molecular order (dipole potential) of the membrane; therefore, this dye, combined with CTX-AF647, can provide information about the extent of cholesterol reduction separately in raft and non-raft membrane regions. Representative confocal microscopic images taken from the flat, bottom membrane region adjacent to the coverglass show F66 intensities detected in 2 wavelength ranges of emission (“F66 N*” and “F66 T*”), their ratio (“F66 emission ratio” calculated as T*/N* pixel by pixel), and CTX-AF647 intensities. Cell “membrane masks” selected manually in CTX images were segmented using the maxentropy algorithm to CTX-high “rafts” and CTX-low “non-rafts” corresponding to high- and low-intensity regions, respectively, as shown by the representative images. Violin plots were generated from median F66 emission ratio values determined separately for the CTX-high “raft” (D) and CTX-low “non-raft” (E) masks of n = 54 to 73 individual cells, which also display median values with quartiles. (F) Pixelwise distributions of the F66 emission ratio in CTX-high “rafts” and CTX-low “non-rafts” of control cells are displayed. For the quantification of the relative area of lipid rafts, as an alternative definition for raft regions, a threshold value of the F66 emission ratio was determined (green dashed line) and membrane pixels were considered as “F66 raft” and “F66 non-raft” regions when being above and below the threshold, respectively. (G) Violin plots were generated from the relative fraction of F66 raft pixels (“F66 raft area”) of individual cells, which also display median values with quartiles. (H) Representative images show changes in the lateral distribution of the F66 emission ratio on a color-scale image and reduction in the relative F66 raft area induced by 1 μM SH42. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( # P < 0.05, ## P < 0.01, ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Journal: Research

Article Title: The Selective DHCR24 Blocker SH42 Inhibits ACE2 Binding and Cellular Entry of SARS-CoV-2 Spike Proteins More Efficiently Than Atorvastatin

doi: 10.34133/research.1280

Figure Lengend Snippet: SH42 reduces cholesterol abundance in the plasma membrane in general and lipid rafts in particular, and decreases lipid raft area more efficiently than atorvastatin (ATO). Control HEK293T (A) and Calu-3 (B) cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were labeled with cholesterol-binding mCherry-conjugated D4H*, the D434S mutant of domain 4 (D4) of C. perfringens theta-toxin. Fluorescence intensities correlating with plasma membrane cholesterol levels of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The average intensity values obtained in n = 9 independent biological replicates, and their average values (± SEM) are plotted in the figure. (C) To examine changes in the cholesterol content of raft and non-raft microdomains of the plasma membrane, control HEK/ACE2 + TMPRSS2 cells and those treated as above were labeled with Alexa Fluor 647-conjugated cholera toxin subunit B (CTX-AF647), a lipid raft marker, and F66. F66 is a fluorescent indicator with spectral properties depending on the cholesterol-dependent local molecular order (dipole potential) of the membrane; therefore, this dye, combined with CTX-AF647, can provide information about the extent of cholesterol reduction separately in raft and non-raft membrane regions. Representative confocal microscopic images taken from the flat, bottom membrane region adjacent to the coverglass show F66 intensities detected in 2 wavelength ranges of emission (“F66 N*” and “F66 T*”), their ratio (“F66 emission ratio” calculated as T*/N* pixel by pixel), and CTX-AF647 intensities. Cell “membrane masks” selected manually in CTX images were segmented using the maxentropy algorithm to CTX-high “rafts” and CTX-low “non-rafts” corresponding to high- and low-intensity regions, respectively, as shown by the representative images. Violin plots were generated from median F66 emission ratio values determined separately for the CTX-high “raft” (D) and CTX-low “non-raft” (E) masks of n = 54 to 73 individual cells, which also display median values with quartiles. (F) Pixelwise distributions of the F66 emission ratio in CTX-high “rafts” and CTX-low “non-rafts” of control cells are displayed. For the quantification of the relative area of lipid rafts, as an alternative definition for raft regions, a threshold value of the F66 emission ratio was determined (green dashed line) and membrane pixels were considered as “F66 raft” and “F66 non-raft” regions when being above and below the threshold, respectively. (G) Violin plots were generated from the relative fraction of F66 raft pixels (“F66 raft area”) of individual cells, which also display median values with quartiles. (H) Representative images show changes in the lateral distribution of the F66 emission ratio on a color-scale image and reduction in the relative F66 raft area induced by 1 μM SH42. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( # P < 0.05, ## P < 0.01, ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Article Snippet: The human embryonic kidney HEK293T cell line that stably expresses ACE2 and transmembrane serine protease 2 (TMPRSS2) genes (HEK/ACE2 + TMPRSS2) was obtained from GeneCopoeia (Rockville, MD; SL222), while the Calu-3 lung adenocarcinoma cell line with an endogenous expression of ACE2 and TMPRSS2, and the original HEK293T cell line lacking considerable ACE2 and TMPRSS2 were purchased from the American Type Culture Collection (Manassas, VA; HTB-55 and CRL-3216, respectively).

Techniques: Clinical Proteomics, Membrane, Control, Labeling, Binding Assay, Mutagenesis, Fluorescence, Flow Cytometry, Marker, Generated

SH42 decreases ACE2 binding of SARS-CoV-2 spike receptor-binding domains (RBDs) more efficiently than ATO. (A) ACE2-expressing HEK/ACE2 + TMPRSS2 and Calu-3 control cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were incubated with the GFP-conjugated RBDs of the Wuhan-Hu-1 strain (WT), Delta, and Omicron BA.1 variants for 4 min. RBDs were applied at 0.2 and 1.0 μg/ml for HEK/ACE2 + TMPRSS2 and Calu-3 cells, respectively. Fluorescence intensities of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. (B) Representative RBD-GFP versus forward-scattered light intensity (FSC) density plots demonstrate decreases in the bound WT RBD-GFP in response to 1 μM SH42 in HEK/ACE2 + TMPRSS2 cells. Dashed lines represent average values of the fluorescence intensity obtained in the displayed representative samples. The average intensities obtained in n = 9 independent biological replicates and normalized to the mean value determined in untreated control samples, and their average values (± SEM) are plotted for WT, Delta, and Omicron BA.1 variants in HEK/ACE2 + TMPRSS2 (C) and Calu-3 (D) cells. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, ** P < 0.01, **** P < 0.0001), while hashes show those between samples treated with ATO and SH42 at identical concentrations ( ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Journal: Research

Article Title: The Selective DHCR24 Blocker SH42 Inhibits ACE2 Binding and Cellular Entry of SARS-CoV-2 Spike Proteins More Efficiently Than Atorvastatin

doi: 10.34133/research.1280

Figure Lengend Snippet: SH42 decreases ACE2 binding of SARS-CoV-2 spike receptor-binding domains (RBDs) more efficiently than ATO. (A) ACE2-expressing HEK/ACE2 + TMPRSS2 and Calu-3 control cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were incubated with the GFP-conjugated RBDs of the Wuhan-Hu-1 strain (WT), Delta, and Omicron BA.1 variants for 4 min. RBDs were applied at 0.2 and 1.0 μg/ml for HEK/ACE2 + TMPRSS2 and Calu-3 cells, respectively. Fluorescence intensities of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. (B) Representative RBD-GFP versus forward-scattered light intensity (FSC) density plots demonstrate decreases in the bound WT RBD-GFP in response to 1 μM SH42 in HEK/ACE2 + TMPRSS2 cells. Dashed lines represent average values of the fluorescence intensity obtained in the displayed representative samples. The average intensities obtained in n = 9 independent biological replicates and normalized to the mean value determined in untreated control samples, and their average values (± SEM) are plotted for WT, Delta, and Omicron BA.1 variants in HEK/ACE2 + TMPRSS2 (C) and Calu-3 (D) cells. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, ** P < 0.01, **** P < 0.0001), while hashes show those between samples treated with ATO and SH42 at identical concentrations ( ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Article Snippet: The human embryonic kidney HEK293T cell line that stably expresses ACE2 and transmembrane serine protease 2 (TMPRSS2) genes (HEK/ACE2 + TMPRSS2) was obtained from GeneCopoeia (Rockville, MD; SL222), while the Calu-3 lung adenocarcinoma cell line with an endogenous expression of ACE2 and TMPRSS2, and the original HEK293T cell line lacking considerable ACE2 and TMPRSS2 were purchased from the American Type Culture Collection (Manassas, VA; HTB-55 and CRL-3216, respectively).

Techniques: Binding Assay, Expressing, Control, Incubation, Fluorescence, Flow Cytometry

SH42-induced reduction in ACE2 binding of WT SARS-CoV-2 spike RBDs negatively correlates with the applied RBD concentration. ACE2-expressing HEK/ACE2 + TMPRSS2 (A) and Calu-3 (B) control cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were incubated with different concentrations of the GFP-conjugated RBDs of the Wuhan-Hu-1 strain (WT) for 4 min. Fluorescence intensities of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The extents of inhibition (calculated as 1 − average of treated/average of control) were determined in n = 9 independent biological replicates, and their average values (± SEM) are plotted as a function of the applied RBD concentration ranging between 0.1 and 5 μg/ml for HEK/ACE2 + TMPRSS2 and between 1 and 10 μg/ml for Calu-3 cells. Asterisks indicate significant differences between samples treated with the lowest versus highest RBD concentrations for each treatment (** P < 0.01, **** P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Journal: Research

Article Title: The Selective DHCR24 Blocker SH42 Inhibits ACE2 Binding and Cellular Entry of SARS-CoV-2 Spike Proteins More Efficiently Than Atorvastatin

doi: 10.34133/research.1280

Figure Lengend Snippet: SH42-induced reduction in ACE2 binding of WT SARS-CoV-2 spike RBDs negatively correlates with the applied RBD concentration. ACE2-expressing HEK/ACE2 + TMPRSS2 (A) and Calu-3 (B) control cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were incubated with different concentrations of the GFP-conjugated RBDs of the Wuhan-Hu-1 strain (WT) for 4 min. Fluorescence intensities of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The extents of inhibition (calculated as 1 − average of treated/average of control) were determined in n = 9 independent biological replicates, and their average values (± SEM) are plotted as a function of the applied RBD concentration ranging between 0.1 and 5 μg/ml for HEK/ACE2 + TMPRSS2 and between 1 and 10 μg/ml for Calu-3 cells. Asterisks indicate significant differences between samples treated with the lowest versus highest RBD concentrations for each treatment (** P < 0.01, **** P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Article Snippet: The human embryonic kidney HEK293T cell line that stably expresses ACE2 and transmembrane serine protease 2 (TMPRSS2) genes (HEK/ACE2 + TMPRSS2) was obtained from GeneCopoeia (Rockville, MD; SL222), while the Calu-3 lung adenocarcinoma cell line with an endogenous expression of ACE2 and TMPRSS2, and the original HEK293T cell line lacking considerable ACE2 and TMPRSS2 were purchased from the American Type Culture Collection (Manassas, VA; HTB-55 and CRL-3216, respectively).

Techniques: Binding Assay, Concentration Assay, Expressing, Control, Incubation, Fluorescence, Flow Cytometry, Inhibition

SH42 inhibits the cellular entry of SARS-CoV-2 spike trimers more efficiently than ATO. Control HEK/ACE2 + TMPRSS2 and Calu-3 cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were incubated for 4 h in the presence of WT, Delta, or Omicron BA.1 SARS-CoV-2 spike trimers conjugated with Alexa Fluor 488 (AF488-trimers) and labeled with F66. (A) Representative orthogonal views of confocal Z-stack images of F66 for the visualization of the plasma membrane and AF488-trimers to estimate entry demonstrate notable trimer accumulation in the intracellular space of untreated control HEK/ACE2 + TMPRSS2 cells. During image analysis, pixels corresponding to plasma membrane and intracellular pixels were segmented based on F66 Z-stack images. Markers were manually placed inside cells (green circles in the grayscale orthogonal view), and a MATLAB implementation of the 3D watershed algorithm identified the intracellular space of cells and their membrane (colored regions and red lines in the orthogonal view in the middle, respectively, and their overlay image displayed on the right). (B) Representative 3D reconstruction images displaying AF488 fluorescence intensities on a green-red color scale above a threshold intensity overlaid on intracellular pixels of individual cells (in transparent blue) demonstrate decreases in the amount of intracellular WT trimers in response to 1 μM SH42. Subsequently, the average fluorescence intensity values emitted by AF488-trimers were calculated exclusively from data of intracellular pixels for individual cells. The average intensities obtained in n = 400 to 600 HEK/ACE2 + TMPRSS2 (C) and Calu-3 (D) cells and normalized to the median value determined in untreated control samples are plotted along with median values with quartiles for WT, Delta, and Omicron BA.1 trimer variants. Asterisks indicate significant differences compared to control samples (* P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( # P < 0.05, ## P < 0.01, ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA. Lognormal functions fitted to normalized mean intracellular AF488-trimer fluorescence intensity histograms of individual HEK/ACE2 + TMPRSS2 (E) and Calu-3 (F) cells also demonstrate the effects of ATO and SH42 on the internalization of WT, Delta, and Omicron BA.1 trimer variants.

Journal: Research

Article Title: The Selective DHCR24 Blocker SH42 Inhibits ACE2 Binding and Cellular Entry of SARS-CoV-2 Spike Proteins More Efficiently Than Atorvastatin

doi: 10.34133/research.1280

Figure Lengend Snippet: SH42 inhibits the cellular entry of SARS-CoV-2 spike trimers more efficiently than ATO. Control HEK/ACE2 + TMPRSS2 and Calu-3 cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were incubated for 4 h in the presence of WT, Delta, or Omicron BA.1 SARS-CoV-2 spike trimers conjugated with Alexa Fluor 488 (AF488-trimers) and labeled with F66. (A) Representative orthogonal views of confocal Z-stack images of F66 for the visualization of the plasma membrane and AF488-trimers to estimate entry demonstrate notable trimer accumulation in the intracellular space of untreated control HEK/ACE2 + TMPRSS2 cells. During image analysis, pixels corresponding to plasma membrane and intracellular pixels were segmented based on F66 Z-stack images. Markers were manually placed inside cells (green circles in the grayscale orthogonal view), and a MATLAB implementation of the 3D watershed algorithm identified the intracellular space of cells and their membrane (colored regions and red lines in the orthogonal view in the middle, respectively, and their overlay image displayed on the right). (B) Representative 3D reconstruction images displaying AF488 fluorescence intensities on a green-red color scale above a threshold intensity overlaid on intracellular pixels of individual cells (in transparent blue) demonstrate decreases in the amount of intracellular WT trimers in response to 1 μM SH42. Subsequently, the average fluorescence intensity values emitted by AF488-trimers were calculated exclusively from data of intracellular pixels for individual cells. The average intensities obtained in n = 400 to 600 HEK/ACE2 + TMPRSS2 (C) and Calu-3 (D) cells and normalized to the median value determined in untreated control samples are plotted along with median values with quartiles for WT, Delta, and Omicron BA.1 trimer variants. Asterisks indicate significant differences compared to control samples (* P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( # P < 0.05, ## P < 0.01, ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA. Lognormal functions fitted to normalized mean intracellular AF488-trimer fluorescence intensity histograms of individual HEK/ACE2 + TMPRSS2 (E) and Calu-3 (F) cells also demonstrate the effects of ATO and SH42 on the internalization of WT, Delta, and Omicron BA.1 trimer variants.

Article Snippet: The human embryonic kidney HEK293T cell line that stably expresses ACE2 and transmembrane serine protease 2 (TMPRSS2) genes (HEK/ACE2 + TMPRSS2) was obtained from GeneCopoeia (Rockville, MD; SL222), while the Calu-3 lung adenocarcinoma cell line with an endogenous expression of ACE2 and TMPRSS2, and the original HEK293T cell line lacking considerable ACE2 and TMPRSS2 were purchased from the American Type Culture Collection (Manassas, VA; HTB-55 and CRL-3216, respectively).

Techniques: Control, Incubation, Labeling, Clinical Proteomics, Membrane, Fluorescence

SH42 decreases cell surface ACE2 expression and its colocalization with lipid rafts more efficiently than ATO. (A) Control HEK/ACE2 + TMPRSS2 and Calu-3 cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were labeled with Alexa Fluor 488-conjugated anti-ACE2 antibodies (AF488-anti-ACE2). Fluorescence intensities of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The average intensities obtained in n = 10 independent biological replicates and normalized to the mean value determined in untreated control samples, and their average values (± SEM) are plotted in the panel. (B) Control cells and those treated as above were labeled with AF488-anti-ACE2 and Alexa Fluor 647-conjugated cholera toxin subunit B (AF647-CTX). Representative confocal microscopic images taken from the flat, bottom membrane region adjacent to the coverglass show AF488-anti-ACE2 and AF647-CTX intensities, and their overlay, while the colocalization of the 2 signals and its changes in response to 1 μM SH42 are displayed in representative dot plots obtained from pixelwise fluorescence intensities. (C) Violin plots were generated from Pearson correlation coefficient values between fluorescence intensities of the 2 applied fluorophores determined from pixelwise data of n = 81 to 90 individual cells, which also display median values with quartiles. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, ** P < 0.01, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Journal: Research

Article Title: The Selective DHCR24 Blocker SH42 Inhibits ACE2 Binding and Cellular Entry of SARS-CoV-2 Spike Proteins More Efficiently Than Atorvastatin

doi: 10.34133/research.1280

Figure Lengend Snippet: SH42 decreases cell surface ACE2 expression and its colocalization with lipid rafts more efficiently than ATO. (A) Control HEK/ACE2 + TMPRSS2 and Calu-3 cells and those treated for 96 h with 10 nM or 1 μM ATO or SH42 were labeled with Alexa Fluor 488-conjugated anti-ACE2 antibodies (AF488-anti-ACE2). Fluorescence intensities of at least 10,000 individual cells per sample were subsequently measured using a flow cytometer. The average intensities obtained in n = 10 independent biological replicates and normalized to the mean value determined in untreated control samples, and their average values (± SEM) are plotted in the panel. (B) Control cells and those treated as above were labeled with AF488-anti-ACE2 and Alexa Fluor 647-conjugated cholera toxin subunit B (AF647-CTX). Representative confocal microscopic images taken from the flat, bottom membrane region adjacent to the coverglass show AF488-anti-ACE2 and AF647-CTX intensities, and their overlay, while the colocalization of the 2 signals and its changes in response to 1 μM SH42 are displayed in representative dot plots obtained from pixelwise fluorescence intensities. (C) Violin plots were generated from Pearson correlation coefficient values between fluorescence intensities of the 2 applied fluorophores determined from pixelwise data of n = 81 to 90 individual cells, which also display median values with quartiles. Throughout the figure, asterisks indicate significant differences compared to control samples (* P < 0.05, ** P < 0.01, **** P < 0.0001), while hashes show that between samples treated with ATO and SH42 at identical concentrations ( ### P < 0.001, #### P < 0.0001), which were determined by Tukey’s HSD test carried out after significant differences were obtained for between-group effects in ANOVA.

Article Snippet: The human embryonic kidney HEK293T cell line that stably expresses ACE2 and transmembrane serine protease 2 (TMPRSS2) genes (HEK/ACE2 + TMPRSS2) was obtained from GeneCopoeia (Rockville, MD; SL222), while the Calu-3 lung adenocarcinoma cell line with an endogenous expression of ACE2 and TMPRSS2, and the original HEK293T cell line lacking considerable ACE2 and TMPRSS2 were purchased from the American Type Culture Collection (Manassas, VA; HTB-55 and CRL-3216, respectively).

Techniques: Expressing, Control, Labeling, Fluorescence, Flow Cytometry, Membrane, Generated

DHCR24 inhibition by its selective blocker SH42 is a potential novel therapeutic approach to suppress initial membrane-coupled events of SARS-CoV-2 infection. SH42, a novel steroidal highly selective and potent DHCR24 inhibitor, interferes with ACE2 binding of SARS-CoV-2 spike RBDs and cellular uptake of spike proteins. By efficiently decreasing cholesterol levels of the host cell plasma membrane and causing the concomitant disruption of lipid raft microdomains, SH42 decreases cell surface levels of ACE2 and, in addition, reduces raft partitioning of the receptor protein, thereby altering its local microenvironment required for an efficient ACE2-mediated cellular binding and uptake of the virus. As a result, early membrane-coupled events of SARS-CoV-2 infection are inhibited as mirrored by the decreased binding of spike RBDs to host membrane and decreased cellular uptake of spike trimers, and culminate in decreased cellular infection with replication-competent SARS-CoV-2 virions.

Journal: Research

Article Title: The Selective DHCR24 Blocker SH42 Inhibits ACE2 Binding and Cellular Entry of SARS-CoV-2 Spike Proteins More Efficiently Than Atorvastatin

doi: 10.34133/research.1280

Figure Lengend Snippet: DHCR24 inhibition by its selective blocker SH42 is a potential novel therapeutic approach to suppress initial membrane-coupled events of SARS-CoV-2 infection. SH42, a novel steroidal highly selective and potent DHCR24 inhibitor, interferes with ACE2 binding of SARS-CoV-2 spike RBDs and cellular uptake of spike proteins. By efficiently decreasing cholesterol levels of the host cell plasma membrane and causing the concomitant disruption of lipid raft microdomains, SH42 decreases cell surface levels of ACE2 and, in addition, reduces raft partitioning of the receptor protein, thereby altering its local microenvironment required for an efficient ACE2-mediated cellular binding and uptake of the virus. As a result, early membrane-coupled events of SARS-CoV-2 infection are inhibited as mirrored by the decreased binding of spike RBDs to host membrane and decreased cellular uptake of spike trimers, and culminate in decreased cellular infection with replication-competent SARS-CoV-2 virions.

Article Snippet: The human embryonic kidney HEK293T cell line that stably expresses ACE2 and transmembrane serine protease 2 (TMPRSS2) genes (HEK/ACE2 + TMPRSS2) was obtained from GeneCopoeia (Rockville, MD; SL222), while the Calu-3 lung adenocarcinoma cell line with an endogenous expression of ACE2 and TMPRSS2, and the original HEK293T cell line lacking considerable ACE2 and TMPRSS2 were purchased from the American Type Culture Collection (Manassas, VA; HTB-55 and CRL-3216, respectively).

Techniques: Inhibition, Membrane, Infection, Binding Assay, Clinical Proteomics, Disruption, Virus

TLR4 signalling regulates distribution of PCSK9 expression along the aorta. (A) Effect of TLR4 inhibitor TAK-242, MyD88 inhibitor Pepinh-MYD, TRIF inhibitor Pepinh-TRIF, and NF-κB Helenalin on PCSK9 levels, measured by ELISA. (B) LPS injection induces expression of pro-inflammatory cytokines IL-1β, IL-18, MCP-1, IL-6, TNFα, IL-12, IFNγ, and GM-CSF. Measured by ELISA in serum on day 3 HFD group; rabbits treated with or without LPS. Bar graphs represent data compiled from three independent experiments (n = 7 rabbit per genotype), shown as mean ± standard deviation. The significances between two groups were tested by unpaired t-test; Multiple comparisons were analysed by one-way ANOVA, followed by Tukey’s post hoc comparisons test (**P < 0.01; ****P < 0.0001).

Journal: Cardiovascular Research

Article Title: Blood flow patterns regulate PCSK9 secretion via MyD88-mediated pro-inflammatory cytokines

doi: 10.1093/cvr/cvz262

Figure Lengend Snippet: TLR4 signalling regulates distribution of PCSK9 expression along the aorta. (A) Effect of TLR4 inhibitor TAK-242, MyD88 inhibitor Pepinh-MYD, TRIF inhibitor Pepinh-TRIF, and NF-κB Helenalin on PCSK9 levels, measured by ELISA. (B) LPS injection induces expression of pro-inflammatory cytokines IL-1β, IL-18, MCP-1, IL-6, TNFα, IL-12, IFNγ, and GM-CSF. Measured by ELISA in serum on day 3 HFD group; rabbits treated with or without LPS. Bar graphs represent data compiled from three independent experiments (n = 7 rabbit per genotype), shown as mean ± standard deviation. The significances between two groups were tested by unpaired t-test; Multiple comparisons were analysed by one-way ANOVA, followed by Tukey’s post hoc comparisons test (**P < 0.01; ****P < 0.0001).

Article Snippet: Secretion of PCSK9, IL-1β, MCP-1, IL-6, TNFα, IL-12, and IFNγ was measured in rabbit sera or aorta by using a rabbit enzyme-linked immunosorbent assay (ELISA) kit for PCSK9, IL-1β, IL-18, MCP-1, IL-6, TNFα, IL-12, IFNγ, and GM-CSF (MyBioSource, Inc., San Diego, CA, USA); Rabbit ELISA kit for IL-18 and GM-CSF were from LSBio (Seattle, WA, USA).

Techniques: Expressing, Enzyme-linked Immunosorbent Assay, Injection, Standard Deviation

a Workflow indicating identification of ACE2-binding peptides. After virtual screening, for each high-scoring candidate peptide, in vitro experiments were performed to validate its binding ability to ACE2. Picture represents 3D structure of ACE2 (PDB ID: 3D0G) and binding site (red sphere) for virtual screening. Key residue side chains are shown in blue. b Top 3D structure represents surface analysis of the binding site of ACE2 with SARS-COV-2 spike protein. Red circle marks binding site of ACE2 with SARS-COV-2 spike protein. Red and blue arrows show high charge areas in pocket by creating an interpolated charge surface; green and purple arrows point to porose area and hydrophobic domain, respectively. Middle 3D complex structure represents interaction between protein ACE2 and peptide drug dalbavancin after molecular dynamics simulation. Red structure represents dalbavancin, and green residues represent the four residues (Glu329, Gln325, Gln42, and Asp38) important for the binding of SARS-CoV-2 spike to ACE2. Lime, pale green, mint, and violet dashed lines in bottom picture represent hydrogen bonds, van der Waals bonds, Pi-Donor hydrogen bonds, and Pi-Alkyl bonds, respectively.

Journal: Cell Research

Article Title: Dalbavancin binds ACE2 to block its interaction with SARS-CoV-2 spike protein and is effective in inhibiting SARS-CoV-2 infection in animal models

doi: 10.1038/s41422-020-00450-0

Figure Lengend Snippet: a Workflow indicating identification of ACE2-binding peptides. After virtual screening, for each high-scoring candidate peptide, in vitro experiments were performed to validate its binding ability to ACE2. Picture represents 3D structure of ACE2 (PDB ID: 3D0G) and binding site (red sphere) for virtual screening. Key residue side chains are shown in blue. b Top 3D structure represents surface analysis of the binding site of ACE2 with SARS-COV-2 spike protein. Red circle marks binding site of ACE2 with SARS-COV-2 spike protein. Red and blue arrows show high charge areas in pocket by creating an interpolated charge surface; green and purple arrows point to porose area and hydrophobic domain, respectively. Middle 3D complex structure represents interaction between protein ACE2 and peptide drug dalbavancin after molecular dynamics simulation. Red structure represents dalbavancin, and green residues represent the four residues (Glu329, Gln325, Gln42, and Asp38) important for the binding of SARS-CoV-2 spike to ACE2. Lime, pale green, mint, and violet dashed lines in bottom picture represent hydrogen bonds, van der Waals bonds, Pi-Donor hydrogen bonds, and Pi-Alkyl bonds, respectively.

Article Snippet: Briefly, dalbavancin (10 μg, HY-17586, MedChemExpress), point mutated ACE2 (2 μg), anti-ACE2 antibody (1 μg, 10108-T60, Sino Biological), and protein A agarose (40 μl, 15918014, ThermoFisher) were incubated overnight at 4 °C.

Techniques: Binding Assay, In Vitro

a ACE2 (0.5 μg) and SARS-CoV-2 spike protein (0.5 μg) were mixed and treated with various candidate peptide drugs (10 μM). Co-precipitated proteins were identified by western blot analysis using anti-ACE2 antibody. Analyzed proteins are indicated on the right. For positive control (bottom), ACE2-His (0.5 μg) and SARS-CoV-2 spike protein (0.5 μg) were mixed and treated with various concentration of ACE2-hFc, and then co-precipitated proteins were identified by western blot analysis using anti-His-tag antibody. b ACE2 (2 μg/ml) was crosslinked to microplates by N-oxysuccinimide esters for ELISA. SARS-CoV-2 spike protein (10 ng/mL) and tested candidate drugs (1 μM) were incubated with ACE2, and extra un-crosslinked ACE2 protein (100 ng/mL) was used as a positive control. SARS-CoV-2 spike protein antibodies were used for chromogenic reaction. c Binding curves of immobilized human ACE2 with SARS-CoV-2 spike protein (left, positive control) and dalbavancin (right). Concentration-response SPR experiment showing binding of dalbavancin to ACE2 with an equilibrium dissociation constant (K D ) of ~147 nM.

Journal: Cell Research

Article Title: Dalbavancin binds ACE2 to block its interaction with SARS-CoV-2 spike protein and is effective in inhibiting SARS-CoV-2 infection in animal models

doi: 10.1038/s41422-020-00450-0

Figure Lengend Snippet: a ACE2 (0.5 μg) and SARS-CoV-2 spike protein (0.5 μg) were mixed and treated with various candidate peptide drugs (10 μM). Co-precipitated proteins were identified by western blot analysis using anti-ACE2 antibody. Analyzed proteins are indicated on the right. For positive control (bottom), ACE2-His (0.5 μg) and SARS-CoV-2 spike protein (0.5 μg) were mixed and treated with various concentration of ACE2-hFc, and then co-precipitated proteins were identified by western blot analysis using anti-His-tag antibody. b ACE2 (2 μg/ml) was crosslinked to microplates by N-oxysuccinimide esters for ELISA. SARS-CoV-2 spike protein (10 ng/mL) and tested candidate drugs (1 μM) were incubated with ACE2, and extra un-crosslinked ACE2 protein (100 ng/mL) was used as a positive control. SARS-CoV-2 spike protein antibodies were used for chromogenic reaction. c Binding curves of immobilized human ACE2 with SARS-CoV-2 spike protein (left, positive control) and dalbavancin (right). Concentration-response SPR experiment showing binding of dalbavancin to ACE2 with an equilibrium dissociation constant (K D ) of ~147 nM.

Article Snippet: Briefly, dalbavancin (10 μg, HY-17586, MedChemExpress), point mutated ACE2 (2 μg), anti-ACE2 antibody (1 μg, 10108-T60, Sino Biological), and protein A agarose (40 μl, 15918014, ThermoFisher) were incubated overnight at 4 °C.

Techniques: Western Blot, Positive Control, Concentration Assay, Enzyme-linked Immunosorbent Assay, Incubation, Binding Assay

a Vero E6 cells were pre-incubated with indicated concentrations of dalbavancin for 1 h and cells were infected with SARS-CoV-2 at an MOI of 0.01. After 72 h, viral yield in cell supernatant was quantified by qRT-PCR. Cytotoxicity of these drugs to Vero E6 cells was measured by CCK-8 assays. Left and right y-axis of graphs represent mean % inhibition of virus yield and cytotoxicity of drugs, respectively. Experiments were performed in triplicate. CC 50 , half-cytotoxic concentration; SI, selectivity index. b After 1 h pre-incubation with different doses of dalbavancin, Caco-2 cells were infected with SARS-CoV-2 at an MOI of 0.01 for 72 h. The viral yield in the cell supernatant was quantified by qRT-PCR. c Inhibition of SARS-CoV-2 spike pseudo-virion entry by dalbavancin. HEK293/hACE2 cells were pre-incubated with indicated concentrations of dalbavancin, and then SARS-CoV-2 pseudo-virions were added to HEK293/hACE2 cells. At 48 hpi, transduction efficiency was measured according to luciferase activities. Means ± SD from at least three independent experiments with technical triplicates are shown. d , e Time-of-addition experiment of dalbavancin. For “Full-time” treatment, Vero E6 cells were pre-treated with testing drug (1 μM) for 0.5 h, and virus was then added to allow attachment for 1 h. Afterwards, the virus–drug mixture was removed, and the cells were cultured with dalbavancin (1 μM) at 24 hpi. For “Entry” treatment, dalbavancin (1 μM) was added to the cells for 0.5 h before viral attachment, and at 1 hpi., the virus–drug mixture was replaced with fresh culture medium and maintained for 24 h. For “Post-entry” experiment, dalbavancin (1 μM) was added at 0.5 hpi, and maintained for 24 h. Cells were infected with SARS-CoV-2 at an MOI of 0.05, and virus yield in the infected cell supernatants was quantified by qRT-PCR ( d ) and NP expression in infected cells was analyzed by western blot ( e ). f ACE2 mutant (2 μg) was incubated with dalbavancin (10 μg), anti-ACE2 antibody (1 μg), and protein A agarose (40 μL) overnight. After co-IP treatment, dalbavancin was analyzed by LC-MS/MS. Wild-type ACE2 (WT) and PBS were used as positive and negative control, respectively. Statistical significance was measured by two-way analysis of variance (ANOVA) compared with control group. ns, not significant, ** P < 0.05, ** P < 0.01.

Journal: Cell Research

Article Title: Dalbavancin binds ACE2 to block its interaction with SARS-CoV-2 spike protein and is effective in inhibiting SARS-CoV-2 infection in animal models

doi: 10.1038/s41422-020-00450-0

Figure Lengend Snippet: a Vero E6 cells were pre-incubated with indicated concentrations of dalbavancin for 1 h and cells were infected with SARS-CoV-2 at an MOI of 0.01. After 72 h, viral yield in cell supernatant was quantified by qRT-PCR. Cytotoxicity of these drugs to Vero E6 cells was measured by CCK-8 assays. Left and right y-axis of graphs represent mean % inhibition of virus yield and cytotoxicity of drugs, respectively. Experiments were performed in triplicate. CC 50 , half-cytotoxic concentration; SI, selectivity index. b After 1 h pre-incubation with different doses of dalbavancin, Caco-2 cells were infected with SARS-CoV-2 at an MOI of 0.01 for 72 h. The viral yield in the cell supernatant was quantified by qRT-PCR. c Inhibition of SARS-CoV-2 spike pseudo-virion entry by dalbavancin. HEK293/hACE2 cells were pre-incubated with indicated concentrations of dalbavancin, and then SARS-CoV-2 pseudo-virions were added to HEK293/hACE2 cells. At 48 hpi, transduction efficiency was measured according to luciferase activities. Means ± SD from at least three independent experiments with technical triplicates are shown. d , e Time-of-addition experiment of dalbavancin. For “Full-time” treatment, Vero E6 cells were pre-treated with testing drug (1 μM) for 0.5 h, and virus was then added to allow attachment for 1 h. Afterwards, the virus–drug mixture was removed, and the cells were cultured with dalbavancin (1 μM) at 24 hpi. For “Entry” treatment, dalbavancin (1 μM) was added to the cells for 0.5 h before viral attachment, and at 1 hpi., the virus–drug mixture was replaced with fresh culture medium and maintained for 24 h. For “Post-entry” experiment, dalbavancin (1 μM) was added at 0.5 hpi, and maintained for 24 h. Cells were infected with SARS-CoV-2 at an MOI of 0.05, and virus yield in the infected cell supernatants was quantified by qRT-PCR ( d ) and NP expression in infected cells was analyzed by western blot ( e ). f ACE2 mutant (2 μg) was incubated with dalbavancin (10 μg), anti-ACE2 antibody (1 μg), and protein A agarose (40 μL) overnight. After co-IP treatment, dalbavancin was analyzed by LC-MS/MS. Wild-type ACE2 (WT) and PBS were used as positive and negative control, respectively. Statistical significance was measured by two-way analysis of variance (ANOVA) compared with control group. ns, not significant, ** P < 0.05, ** P < 0.01.

Article Snippet: Briefly, dalbavancin (10 μg, HY-17586, MedChemExpress), point mutated ACE2 (2 μg), anti-ACE2 antibody (1 μg, 10108-T60, Sino Biological), and protein A agarose (40 μl, 15918014, ThermoFisher) were incubated overnight at 4 °C.

Techniques: Incubation, Infection, Quantitative RT-PCR, CCK-8 Assay, Inhibition, Concentration Assay, Transduction, Luciferase, Cell Culture, Expressing, Western Blot, Mutagenesis, Co-Immunoprecipitation Assay, Liquid Chromatography with Mass Spectroscopy, Negative Control

a SARS-CoV-2 replication kinetics in HAE from different donors, HCoV-NL63 was used as a control ( n = 3). b Transepithelial electrical resistance (TEER in Ω cm 2 ) between the apical and basal poles was measured at each time point ( n = 3). c SARS-CoV-2 infected both ciliated cells (72 h pi) and secretory cells (72 h pi). arrows: virus particles, arrowhead: cilium, asterisk: secretory vesicle, insets dashed-line squares indicate magnification of arrowed areas. d Costaining of SARS-CoV-2 N protein (green) with ciliated cell marker β-tubulin-IV (red), goblet cell marker Muc5AC (red), club cell marker CCSP (red), and ACE2 (red) positive cells. HCoV-NL63 N protein (green) staining was used as a control (72 h pi). Nuclei were stained with 4’,6-diamidino-2-phenylindole (DAPI) (blue). Data a , b are the means ± s.d. of three independent biological replicates. Source data a – d are provided as a Source Data file.

Journal: Nature Communications

Article Title: Morphogenesis and cytopathic effect of SARS-CoV-2 infection in human airway epithelial cells

doi: 10.1038/s41467-020-17796-z

Figure Lengend Snippet: a SARS-CoV-2 replication kinetics in HAE from different donors, HCoV-NL63 was used as a control ( n = 3). b Transepithelial electrical resistance (TEER in Ω cm 2 ) between the apical and basal poles was measured at each time point ( n = 3). c SARS-CoV-2 infected both ciliated cells (72 h pi) and secretory cells (72 h pi). arrows: virus particles, arrowhead: cilium, asterisk: secretory vesicle, insets dashed-line squares indicate magnification of arrowed areas. d Costaining of SARS-CoV-2 N protein (green) with ciliated cell marker β-tubulin-IV (red), goblet cell marker Muc5AC (red), club cell marker CCSP (red), and ACE2 (red) positive cells. HCoV-NL63 N protein (green) staining was used as a control (72 h pi). Nuclei were stained with 4’,6-diamidino-2-phenylindole (DAPI) (blue). Data a , b are the means ± s.d. of three independent biological replicates. Source data a – d are provided as a Source Data file.

Article Snippet: ACE2 , Sino biologicals (10108-T56), rabbit polyclona (1:100).

Techniques: Infection, Marker, Staining

Source of antibodies and dyes with work concentration for immunofluorescence.

Journal: Nature Communications

Article Title: Morphogenesis and cytopathic effect of SARS-CoV-2 infection in human airway epithelial cells

doi: 10.1038/s41467-020-17796-z

Figure Lengend Snippet: Source of antibodies and dyes with work concentration for immunofluorescence.

Article Snippet: ACE2 , Sino biologicals (10108-T56), rabbit polyclona (1:100).

Techniques: Concentration Assay, Immunofluorescence

Virtual screening of aromatic compounds effectively inhibiting ACE2-Spike interaction. (A) The heatmap of molecular docking structures of 47 aromatic compounds with different con-formations of Spike and ACE2. The color represents the docking binding energy, with a redder color indicating a more stable binding capacity. The top 10 compounds (indicated in red) were utilized for subsequent experimental detections. (B) Structure and classification of 10 potentially effective compounds. (C) The protein pockets (in gray) where the top 10 compounds (in yellow) bind to different conformations of Spike and ACE2. Spike-RBD-1up/Spike-RBD-3down: RBD is highlighted in solid color; Spike-RBD-2up: The S1 and S2 subunits involved in the pocket are emphasized in solid color; RBD-ACE2: RBD is presented in blue, ACE2 in green, the RBM se-quence in direct contact with ACE2 is in pink, and the interface in direct contact with RBD on ACE2 is in red.

Journal: Frontiers in Microbiology

Article Title: Broad-spectrum inhibition of SARS-CoV-2 variants by dibutyl phthalate through allosteric disruption of Spike-ACE2 interface

doi: 10.3389/fmicb.2025.1610775

Figure Lengend Snippet: Virtual screening of aromatic compounds effectively inhibiting ACE2-Spike interaction. (A) The heatmap of molecular docking structures of 47 aromatic compounds with different con-formations of Spike and ACE2. The color represents the docking binding energy, with a redder color indicating a more stable binding capacity. The top 10 compounds (indicated in red) were utilized for subsequent experimental detections. (B) Structure and classification of 10 potentially effective compounds. (C) The protein pockets (in gray) where the top 10 compounds (in yellow) bind to different conformations of Spike and ACE2. Spike-RBD-1up/Spike-RBD-3down: RBD is highlighted in solid color; Spike-RBD-2up: The S1 and S2 subunits involved in the pocket are emphasized in solid color; RBD-ACE2: RBD is presented in blue, ACE2 in green, the RBM se-quence in direct contact with ACE2 is in pink, and the interface in direct contact with RBD on ACE2 is in red.

Article Snippet: SARS-CoV-2 Spike trimer protein (40589-V08H4), ACE2 protein (10108-H08H), Recombinant Anti-ACE2 Antibody (10108-R003), SARS-CoV-2 (2019-nCoV) Spike Antibody (Rabbit PAb) (40592-T62) were purchased from sino biological (Beijing, China).

Techniques: Binding Assay

SPR Analysis of DBP Binding to ACE2 and SARS-CoV-2 Spike Trimer, and Its Inhibition of Spike-ACE2 Interaction. (A,B) The response curves of DBP (0.0122–3.1250 μM) with ACE2 (40 μg/mL, optimized for DBP-ACE2 binding detection) and S trimer (40 μg/mL, optimized for DBP-S trimer binding detection). (C) Concentration-dependent binding of ACE2 (15.625–250 nM) to S trimer (20 μg/mL, optimized for ACE2-S trimer binding detection). (D) Inhibitory effect of DBP on S trimer-ACE2 interaction. K D : Equilibrium dissociation constant. (E) Proposed mechanism of action of DBP.

Journal: Frontiers in Microbiology

Article Title: Broad-spectrum inhibition of SARS-CoV-2 variants by dibutyl phthalate through allosteric disruption of Spike-ACE2 interface

doi: 10.3389/fmicb.2025.1610775

Figure Lengend Snippet: SPR Analysis of DBP Binding to ACE2 and SARS-CoV-2 Spike Trimer, and Its Inhibition of Spike-ACE2 Interaction. (A,B) The response curves of DBP (0.0122–3.1250 μM) with ACE2 (40 μg/mL, optimized for DBP-ACE2 binding detection) and S trimer (40 μg/mL, optimized for DBP-S trimer binding detection). (C) Concentration-dependent binding of ACE2 (15.625–250 nM) to S trimer (20 μg/mL, optimized for ACE2-S trimer binding detection). (D) Inhibitory effect of DBP on S trimer-ACE2 interaction. K D : Equilibrium dissociation constant. (E) Proposed mechanism of action of DBP.

Article Snippet: SARS-CoV-2 Spike trimer protein (40589-V08H4), ACE2 protein (10108-H08H), Recombinant Anti-ACE2 Antibody (10108-R003), SARS-CoV-2 (2019-nCoV) Spike Antibody (Rabbit PAb) (40592-T62) were purchased from sino biological (Beijing, China).

Techniques: Binding Assay, Inhibition, Concentration Assay

Inhibition of SARS-CoV-2 RBD-ACE2 interaction by DBP and its effect on ACE2 enzymatic activity. (A) Schematic illustration of ELISA assays under three experimental conditions: DBP No Premix, DBP-ACE2 Premix, and DBP-Spike Premix. (B) ELISA showing the inhibitory effect of DBP on the binding of SARS-CoV-2 RBD to ACE2. (C) Bar graph depicting the inhibition rate of ACE2/RBD binding by DBP under varied preincubation conditions. DBP at concentrations of 100 μM (blue) and 200 μM (orange) was evaluated in three conditions: no preincubation (DBP No Premix), preincubation with ACE2 (DBP-ACE2 Premix, 1 h), and preincubation with RBD (DBP-RBD Premix, 1 h). (D) Assessment of DBP’s effect on ACE2 enzymatic activity within a concentration range of 12.5–200 μM. Relative Fluorescence units were reported as mean ± SD. Significant differences were observed in the MLN-4760 group compared to the Neg group (*** P < 0.001), while no statistically significant differences (ns) were detected in the other experimental groups. (E) Molecular docking analysis showing that DBP stably binds at the RBD (Cyan). (F) Structural representation of the ACE2-RBD interface (Red) before DBP binding, showing the formation of 18 hydrogen bonds (Yellow) and one salt bridge (Orange). ACE2 inter-action residues are shown in yellow, RBD residues in salmon. (G) Structural representation of the ACE2-RBD interface (Red) after DBP binding, with only 7 hydrogen bonds remaining.

Journal: Frontiers in Microbiology

Article Title: Broad-spectrum inhibition of SARS-CoV-2 variants by dibutyl phthalate through allosteric disruption of Spike-ACE2 interface

doi: 10.3389/fmicb.2025.1610775

Figure Lengend Snippet: Inhibition of SARS-CoV-2 RBD-ACE2 interaction by DBP and its effect on ACE2 enzymatic activity. (A) Schematic illustration of ELISA assays under three experimental conditions: DBP No Premix, DBP-ACE2 Premix, and DBP-Spike Premix. (B) ELISA showing the inhibitory effect of DBP on the binding of SARS-CoV-2 RBD to ACE2. (C) Bar graph depicting the inhibition rate of ACE2/RBD binding by DBP under varied preincubation conditions. DBP at concentrations of 100 μM (blue) and 200 μM (orange) was evaluated in three conditions: no preincubation (DBP No Premix), preincubation with ACE2 (DBP-ACE2 Premix, 1 h), and preincubation with RBD (DBP-RBD Premix, 1 h). (D) Assessment of DBP’s effect on ACE2 enzymatic activity within a concentration range of 12.5–200 μM. Relative Fluorescence units were reported as mean ± SD. Significant differences were observed in the MLN-4760 group compared to the Neg group (*** P < 0.001), while no statistically significant differences (ns) were detected in the other experimental groups. (E) Molecular docking analysis showing that DBP stably binds at the RBD (Cyan). (F) Structural representation of the ACE2-RBD interface (Red) before DBP binding, showing the formation of 18 hydrogen bonds (Yellow) and one salt bridge (Orange). ACE2 inter-action residues are shown in yellow, RBD residues in salmon. (G) Structural representation of the ACE2-RBD interface (Red) after DBP binding, with only 7 hydrogen bonds remaining.

Article Snippet: SARS-CoV-2 Spike trimer protein (40589-V08H4), ACE2 protein (10108-H08H), Recombinant Anti-ACE2 Antibody (10108-R003), SARS-CoV-2 (2019-nCoV) Spike Antibody (Rabbit PAb) (40592-T62) were purchased from sino biological (Beijing, China).

Techniques: Inhibition, Activity Assay, Enzyme-linked Immunosorbent Assay, Binding Assay, Concentration Assay, Fluorescence, Stable Transfection