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Miltenyi Biotec dapi
Dapi, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 97/100, based on 93 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/staining+dapi/DAPI+Staining+Solution/pm42811304-68-17-18
Average 97 stars, based on 93 article reviews

dapi - by Bioz Stars, 2026-10

97/100 stars

Images

Staining:

Article Title: Receptor-guided AAV Tropism Engineering via MATCH
Article Snippet: After 10 minutes, cells were stained with APC anti-human CD3 Antibody (BioLegend, 300412) and FITC anti-human CD25 Antibody (BioLegend, 302603) for 30 minutes on ice. .. Cells were washed once with 1✕ PBS with 2% FBS, pH 7.4, and finally resuspended in 1✕ PBS with 2% FBS and 0.1 μg/mL DAPI Staining Solution (Miltenyi Biotec, 130-111-570), pH 7.4 and analyzed on the BD LSRFortessaTM Cell Analyzer. ..

Article Title: Receptor-guided AAV Tropism Engineering via MATCH
Article Snippet: .. For general transduction experiments, 48 hours after AAV transduction, cells were centrifuged and resuspended in 1✕ PBS with 2% FBS and 0.1 μg/mL DAPI Staining Solution (Miltenyi Biotec, 130-111-570), pH 7.4 at 1 ✕ 106 cells/mL and analyzed on the BD LSRFortessaTM Cell Analyzer, gating for live cells and mCherry or GFP fluorescence. ..

Article Title: Cysteine availability tunes ubiquitin signaling via inverse stability of LRRC58 E3 ligase and its substrate CDO1.
Article Snippet: Analytical flow cytometry was performed on an Attune NxT flow cytometer (Thermo Fisher Scientific) equipped with an automated plate reader. .. Cells were prepared by single-cell dissociation using TrypLE, then resuspended in 1 × DPBS supplemented with 2mM EDTA and DAPI staining solution (Miltenyi Biotec) for live/dead discrimination. ..

Article Title: An Integrin β6-targeted antibody-drug conjugate optimized for intravesical delivery to treat non-muscle invasive bladder cancer
Article Snippet: PDOs and cells were dissociated with TrypLE (ThermoFisher, 12605010) for 5-10 min at 37°C, then distributed into 96-well V-bottom plates (2 x 105 cells/well). .. Cells were stained with h2A2 primary antibody (1 hour, 4°C), anti-IgG-FITC (45 minutes, 4°C) and DAPI (Miltenyi Biotec, 130-111-570) (5 minutes). .. Samples were acquired within 4 hours on a MACSQuant Analyzer 10 (Miltenyi Biotec, RRID:SCR_020268) or Attune NxT flow cytometer and analyzed using FlowJo v10.8.

Article Title: Co-expression of non-signaling CARs enhances EGFRvIII-specific CAR T-cell cytotoxicity against head and neck squamous cell carcinoma.
Article Snippet: For the detection of CARs or nsCARs on T-cells in the three fractions (pre-MACS, flow-through, and post-MACS), staining was performed using FITC- or PE-conjugated CD34 antibodies (clone QBEND/10, Thermo Fisher Scientific; FITC: MA1-10204, PE: MA1-10205) and APC- or PE-Vio770-conjugated CD271 antibodies (clone ME20.4, Miltenyi Biotec; APC: 130-113-418, PE-Vio770: 130-133-422). .. After staining and washing, cells were resuspended in MACS buffer containing either PI (Thermo Scientific; P1304MP) or DAPI (Miltenyi Biotec; 130-111-570) for live/dead cell discrimination. ..

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Fluorescence:

Single Cell:

Incubation:

Article Title: Hyaluronic acid and tissue mechanics orchestrate mammalian digit tip regeneration.
Article Snippet: .. Then, cells were incubated with ready- to- use DAPI (Miltenyi Biotec, 130- 111- 570) for 5 min in 2% FBS and 2.5 mM EDTA in PBS. ..

Magnetic Cell Separation:

Image Search Results

Confocal immunofluorescence images of S2-013 and HPNE cells that took up SNORA22 siRNA conjugated with FA-Dab8α and FA-Dab8γ. A S2-013 cells were incubated with Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-FA-Dab8α and SNORA22 siRNA-FA-Dab8γ (green). Blue, DAPI staining. Scale bars, 10 µm. B Quantification of Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-positive cells in A. Data represent the number of cells positive for the siRNA, scored across five fields per group and derived from two independent experiments. Columns , mean; bars , SD. * p <0.05 significantly different from SNORA22 siRNA-FA-Dab8γ (the Student’s t -test). C S2-013, S2-CP8, and HPNE cells were incubated with Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-FA-Dab8α (green). Cells were stained with an anti-FOLR1 antibody (red). Blue, DAPI staining. Scale bars, 10 µm. D Quantification of Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-positive cells in C. Data represent the number of cells positive for the siRNA, scored across five fields per group and derived from two independent experiments. Columns , mean; bars , SD. * p <0.05 significantly different from HPNE cells (the Student’s t -test)

Journal: Human Cell

Article Title: Inhibition of pancreatic cancer growth by an siRNA targeting SNORA22 and a folic acid-conjugated cationic oligopeptide

doi: 10.1007/s13577-026-01458-1

Figure Lengend Snippet: Confocal immunofluorescence images of S2-013 and HPNE cells that took up SNORA22 siRNA conjugated with FA-Dab8α and FA-Dab8γ. A S2-013 cells were incubated with Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-FA-Dab8α and SNORA22 siRNA-FA-Dab8γ (green). Blue, DAPI staining. Scale bars, 10 µm. B Quantification of Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-positive cells in A. Data represent the number of cells positive for the siRNA, scored across five fields per group and derived from two independent experiments. Columns , mean; bars , SD. * p <0.05 significantly different from SNORA22 siRNA-FA-Dab8γ (the Student’s t -test). C S2-013, S2-CP8, and HPNE cells were incubated with Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-FA-Dab8α (green). Cells were stained with an anti-FOLR1 antibody (red). Blue, DAPI staining. Scale bars, 10 µm. D Quantification of Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-positive cells in C. Data represent the number of cells positive for the siRNA, scored across five fields per group and derived from two independent experiments. Columns , mean; bars , SD. * p <0.05 significantly different from HPNE cells (the Student’s t -test)

Article Snippet: This solution was added to each well, followed by a 48-h incubation with the addition of 1 mL of fresh DMEM at 24 h. Cells were then fixed with 4% paraformaldehyde, followed by immunostaining using an anti-folate receptor 1 (FOLR1) antibody (MAB5646, R&D Systems, Minneapolis, MN, USA) and DAPI staining (HardSet Mounting Medium with DAPI, Vector Laboratories, Burlingame, CA, USA).

Techniques: Confocal, Immunofluorescence, Incubation, Labeling, Modification, Staining, Derivative Assay

Localization of SNORA22 siRNA-FA-Dab8α and SNORA22 siRNA-FA-Dab8γ within lysosomes of S2-013 cells. Confocal immunofluorescence images show S2-013 cells incubated with Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-FA-Dab8α and SNORA22 siRNA-FA-Dab8γ (green) and stained for lysosomes (LysoTracker, red) and nuclei (DAPI, blue). Cells enclosed in white boxes are shown at higher magnification below each panel to clearly demonstrate the specific colocalization of the nucleic acid compounds within the lysosomal compartments. Scale bars, 10 µm

Journal: Human Cell

Article Title: Inhibition of pancreatic cancer growth by an siRNA targeting SNORA22 and a folic acid-conjugated cationic oligopeptide

doi: 10.1007/s13577-026-01458-1

Figure Lengend Snippet: Localization of SNORA22 siRNA-FA-Dab8α and SNORA22 siRNA-FA-Dab8γ within lysosomes of S2-013 cells. Confocal immunofluorescence images show S2-013 cells incubated with Alexa Fluor 647-labeled chemically modified SNORA22 siRNA-FA-Dab8α and SNORA22 siRNA-FA-Dab8γ (green) and stained for lysosomes (LysoTracker, red) and nuclei (DAPI, blue). Cells enclosed in white boxes are shown at higher magnification below each panel to clearly demonstrate the specific colocalization of the nucleic acid compounds within the lysosomal compartments. Scale bars, 10 µm

Techniques: Confocal, Immunofluorescence, Incubation, Labeling, Modification, Staining

TKTL1 drives tumor progression while potentiating anti-PD-1 immunotherapy sensitivity rather than apatinib in HCC. a Schematic of the orthotopic tumor mouse model: Hepa1-6 cells transduced with OE-TKTL1 (TKTL1 overexpression) or OE-VE (vector control) lentiviruses were subcutaneously implanted, followed by tumor transplantation to the liver. Anti-PD-1 treatment was administered, with live imaging at day 21 and sample harvest at day 42. b Tumor growth curves of orthotopic models in OE-VE, OE-TKTL1, OE-VE+Anti-PD-1, and OE-TKTL1+Anti-PD-1 groups (days 21, 28, 35). c Quantification of tumor volume and tumor weight in each treatment group. Data are mean ± SD ( n = 5, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). d TUNEL immunofluorescence staining of orthotopic tumors to detect apoptotic cells. Scale bar: 50 µm. e Ki67 immunofluorescence staining of orthotopic tumors to assess cell proliferation. Scale bar: 50 µm. f Quantification of TUNEL-positive cells in orthotopic tumors. Data are mean ± SD ( n = 3, *** p < 0.001, **** p < 0.0001; One-way ANOVA). g Quantification of Ki67-positive cells in orthotopic tumors. Data are mean ± SD ( n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). h Immunofluorescence staining and analysis of CD8 + (green) and PD-1 + (red) T cells in orthotopic tumors. Nuclei: DAPI (blue). Scale bar: 50 µm. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). i Flow cytometry analysis of CD8 + T cell exhaustion markers (PD-1, CTLA-4, TOX) and effector cytokine (IFN-γ) in orthotopic tumor tissues. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). j Schematic of the diethylnitrosamine (DEN)/carbon tetrachloride (CCl4)-induced orthotopic HCC model: Mice were treated with DEN+CCl4, followed by AAV-VE (vector control) or AAV-TKTL1 injection at week 20, anti-PD-1 treatment from week 24, MRI scanning, and liver tissue harvest at week 28. k Representative micro-MRI images of mouse livers pre- and post-treatment; representative photographs of excised livers. Scale bar: 1 cm. H&E staining of tumor (T) and peritumoral (P) tissues from DEN/CCl4-induced models. Scale bar: 50 µm. l TUNEL and Ki67 immunofluorescence staining of DEN/CCl4-induced tumor tissues. Scale bar: 50 µm. m Quantification of tumor size changes pre- and post-treatment in DEN/CCl4-induced models related to ( k ). Data are mean ± SD ( n = 5, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). n Quantification of TUNEL-positive and Ki67-positive cells in DEN/CCl4-induced models related to ( l ). Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, *** p < 0.001, **** p < 0.0001; One-way ANOVA). o Immunofluorescence staining of CD8 + and PD-1 + CD8 + T cells in DEN/CCl4-induced tumors. Scale bar: 50 µm. p Quantification of CD8 + and PD-1 + CD8 + T cell proportions in DEN/CCl4-induced tumors. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001; One-way ANOVA). q Flow cytometry analysis of CD8 + T cell exhaustion markers (PD-1, CTLA-4, TOX) and effector cytokine (IFN-γ) in DEN/CCl4-induced tumor tissues. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). r Schematic illustrating the role of TKTL1 in promoting HCC progression and sensitizing tumors to anti-PD-1 immunotherapy via modulating CD8 + T cell function in the TME

Journal: Signal Transduction and Targeted Therapy

Article Title: Transketolase-like 1 potentiates PD-1 blockade in hepatocellular carcinoma by glycolysis to prime dendritic cell lactylation

doi: 10.1038/s41392-026-02875-2

Figure Lengend Snippet: TKTL1 drives tumor progression while potentiating anti-PD-1 immunotherapy sensitivity rather than apatinib in HCC. a Schematic of the orthotopic tumor mouse model: Hepa1-6 cells transduced with OE-TKTL1 (TKTL1 overexpression) or OE-VE (vector control) lentiviruses were subcutaneously implanted, followed by tumor transplantation to the liver. Anti-PD-1 treatment was administered, with live imaging at day 21 and sample harvest at day 42. b Tumor growth curves of orthotopic models in OE-VE, OE-TKTL1, OE-VE+Anti-PD-1, and OE-TKTL1+Anti-PD-1 groups (days 21, 28, 35). c Quantification of tumor volume and tumor weight in each treatment group. Data are mean ± SD ( n = 5, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). d TUNEL immunofluorescence staining of orthotopic tumors to detect apoptotic cells. Scale bar: 50 µm. e Ki67 immunofluorescence staining of orthotopic tumors to assess cell proliferation. Scale bar: 50 µm. f Quantification of TUNEL-positive cells in orthotopic tumors. Data are mean ± SD ( n = 3, *** p < 0.001, **** p < 0.0001; One-way ANOVA). g Quantification of Ki67-positive cells in orthotopic tumors. Data are mean ± SD ( n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). h Immunofluorescence staining and analysis of CD8 + (green) and PD-1 + (red) T cells in orthotopic tumors. Nuclei: DAPI (blue). Scale bar: 50 µm. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). i Flow cytometry analysis of CD8 + T cell exhaustion markers (PD-1, CTLA-4, TOX) and effector cytokine (IFN-γ) in orthotopic tumor tissues. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). j Schematic of the diethylnitrosamine (DEN)/carbon tetrachloride (CCl4)-induced orthotopic HCC model: Mice were treated with DEN+CCl4, followed by AAV-VE (vector control) or AAV-TKTL1 injection at week 20, anti-PD-1 treatment from week 24, MRI scanning, and liver tissue harvest at week 28. k Representative micro-MRI images of mouse livers pre- and post-treatment; representative photographs of excised livers. Scale bar: 1 cm. H&E staining of tumor (T) and peritumoral (P) tissues from DEN/CCl4-induced models. Scale bar: 50 µm. l TUNEL and Ki67 immunofluorescence staining of DEN/CCl4-induced tumor tissues. Scale bar: 50 µm. m Quantification of tumor size changes pre- and post-treatment in DEN/CCl4-induced models related to ( k ). Data are mean ± SD ( n = 5, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). n Quantification of TUNEL-positive and Ki67-positive cells in DEN/CCl4-induced models related to ( l ). Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, *** p < 0.001, **** p < 0.0001; One-way ANOVA). o Immunofluorescence staining of CD8 + and PD-1 + CD8 + T cells in DEN/CCl4-induced tumors. Scale bar: 50 µm. p Quantification of CD8 + and PD-1 + CD8 + T cell proportions in DEN/CCl4-induced tumors. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001; One-way ANOVA). q Flow cytometry analysis of CD8 + T cell exhaustion markers (PD-1, CTLA-4, TOX) and effector cytokine (IFN-γ) in DEN/CCl4-induced tumor tissues. Data are mean ± SD ( n = 3, ns: not significant, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; One-way ANOVA). r Schematic illustrating the role of TKTL1 in promoting HCC progression and sensitizing tumors to anti-PD-1 immunotherapy via modulating CD8 + T cell function in the TME

Article Snippet: A combined secondary antibody was applied and left to incubate for 1 h. To maintain the integrity of the nucleus, DAPI staining (Beyotime, China) was utilized.

Techniques: Sensitivity, Transduction, Over Expression, Plasmid Preparation, Control, Transplantation Assay, Imaging, TUNEL Assay, Immunofluorescence, Staining, Analysis, Flow Cytometry, Injection, Tissue, Micro-MRI, Cell Function Assay

TKTL1 reprograms glucose metabolism through glycolysis instead of the PPP to stabilize the HIF-1α/HK2/PD-L1 axis and drive anti-PD-1 sensitivity in HCC. a mRNA expression of glycolysis-related genes (SLC2A1, HK2, HKDC1) in TKTL1-knockdown Hep-3B cells, determined by RNA sequencing. b KEGG pathway enrichment analysis of downregulated differentially expressed genes (DEGs) in TKTL1-knockdown Hep-3B cells, highlighting Glycolysis/Gluconeogenesis and HIF-1α signaling pathways. c Bubble plot of KEGG pathway enrichment for downregulated metabolites from non-targeted metabolomics of TKTL1-knockdown cells, focusing on central carbon metabolism. d Integrative analysis of downregulated DEGs (RNA sequencing) and metabolites (non-targeted metabolomics), visualized as a ranked plot showing enrichment in glycolytic pathways. e Western blot analysis of glycolytic enzymes (GLUT1, HK2, PKM2, ENO1, LDHA) and TKTL1 in HCC-LM3 and Hep-3B cells with TKTL1 knockdown or overexpression. β-actin serves as a loading control. f 13 C-labeled glucose metabolic flux tracing analysis, showing the relative abundance of metabolites in glycolysis, PPP and tricarboxylic acid (TCA) cycle in TKTL1-knockdown vs. negative control (NC) cells. g Extracellular acidification rate (ECAR) measurements (left) and lactic acid production (right) in HCC-LM3 and Hep-3B cells under TKTL1 knockdown or overexpression. Data are mean ± SD ( n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; Student’s t-test). h , i Western blot analysis of TKTL1, HIF-1α, HK2, and PD-L1 protein expression in HCC-LM3 and Hep-3B cells with TKTL1 knockdown or overexpression. β-actin serves as a loading control. Data are mean ± SD ( n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; Student’s t-test). j Immunofluorescence staining of TKTL1, HIF-1α, and HK2 protein expression in HCC tissues. Nuclei: DAPI (blue). Scale bar: 150 µm

Journal: Signal Transduction and Targeted Therapy

Article Title: Transketolase-like 1 potentiates PD-1 blockade in hepatocellular carcinoma by glycolysis to prime dendritic cell lactylation

doi: 10.1038/s41392-026-02875-2

Figure Lengend Snippet: TKTL1 reprograms glucose metabolism through glycolysis instead of the PPP to stabilize the HIF-1α/HK2/PD-L1 axis and drive anti-PD-1 sensitivity in HCC. a mRNA expression of glycolysis-related genes (SLC2A1, HK2, HKDC1) in TKTL1-knockdown Hep-3B cells, determined by RNA sequencing. b KEGG pathway enrichment analysis of downregulated differentially expressed genes (DEGs) in TKTL1-knockdown Hep-3B cells, highlighting Glycolysis/Gluconeogenesis and HIF-1α signaling pathways. c Bubble plot of KEGG pathway enrichment for downregulated metabolites from non-targeted metabolomics of TKTL1-knockdown cells, focusing on central carbon metabolism. d Integrative analysis of downregulated DEGs (RNA sequencing) and metabolites (non-targeted metabolomics), visualized as a ranked plot showing enrichment in glycolytic pathways. e Western blot analysis of glycolytic enzymes (GLUT1, HK2, PKM2, ENO1, LDHA) and TKTL1 in HCC-LM3 and Hep-3B cells with TKTL1 knockdown or overexpression. β-actin serves as a loading control. f 13 C-labeled glucose metabolic flux tracing analysis, showing the relative abundance of metabolites in glycolysis, PPP and tricarboxylic acid (TCA) cycle in TKTL1-knockdown vs. negative control (NC) cells. g Extracellular acidification rate (ECAR) measurements (left) and lactic acid production (right) in HCC-LM3 and Hep-3B cells under TKTL1 knockdown or overexpression. Data are mean ± SD ( n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; Student’s t-test). h , i Western blot analysis of TKTL1, HIF-1α, HK2, and PD-L1 protein expression in HCC-LM3 and Hep-3B cells with TKTL1 knockdown or overexpression. β-actin serves as a loading control. Data are mean ± SD ( n = 3, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001; Student’s t-test). j Immunofluorescence staining of TKTL1, HIF-1α, and HK2 protein expression in HCC tissues. Nuclei: DAPI (blue). Scale bar: 150 µm

Article Snippet: A combined secondary antibody was applied and left to incubate for 1 h. To maintain the integrity of the nucleus, DAPI staining (Beyotime, China) was utilized.

Techniques: Sensitivity, Expressing, Knockdown, RNA Sequencing, Analysis, Protein-Protein interactions, Western Blot, Over Expression, Control, Labeling, Negative Control, Immunofluorescence, Staining

TKTL1 activates glycolysis pathway by promoting HIF-1α deubiquitination through recruitment of USP9X in HCC. a Cycloheximide (CHX) chase assay in OE-VE (vector control) and OE-TKTL1 (TKTL1 overexpression) cells, assessing HIF-1α protein degradation kinetics over 0, 4, 8, and 12 h. β-actin serves as a loading control. b CHX chase assay in Sh-NC (negative control) and Sh-TKTL1 (TKTL1 knockdown) cells, evaluating HIF-1α degradation with or without proteasome inhibitor MG132 treatment. β-actin serves as a loading control. c Ubiquitination assay of HIF-1α in HCC-LM3 (Sh-NC vs. Sh-TKTL1) and Hep-3B (OE-VE vs. OE-TKTL1) cells treated with MG132. Immunoprecipitation (IP) with HIF-1α antibody and antibody incubation with ubiquitin (Ub) antibody detect ubiquitinated HIF-1α. d Co-immunoprecipitation (Co-IP) assay of endogenous proteins in HCC-LM3 and Hep-3B cells, confirming the interaction between TKTL1 and HIF-1α. IgG serves as a negative control; input lysates verify protein expression. e Co-IP assay of exogenous proteins in HEK-293T cells transfected with TKTL1 and HIF-1α expression plasmids, validating the TKTL1-HIF-1α interaction. IgG serves as a negative control. f Intersection analysis of TKTL1-interacting proteins identified via IP and deubiquitinating enzyme (DUB) family members, pinpointing USP9X as a key overlapping binding partner of TKTL1. g , h Co-IP assay identifying USP9X as a TKTL1-interacting protein. Co-IP assay demonstrating the interaction between USP9X and HIF-1α. IgG serves as a negative control. i GST-pull down assay transfected with Myc-USP9X, HA-TKTL1, and Flag-HIF-1α plasmids, verifying the formation of the TKTL1-USP9X-HIF-1α ternary complex. j AI-predicted structural model of the TKTL1-USP9X-HIF-1α ternary complex, illustrating the binding interface and spatial configuration of the three proteins. k IP assay using HIF-1α domain mutants in HEK-293T cells, confirming that USP9X binds to the inhibitory domain (ID) of HIF-1α. l IP assay using TKTL1 domain mutants in HEK-293T cells, identifying that HIF-1α binds to the T-pyr domain of TKTL1 and USP9X binds to the T-pyr domain of TKTL1. m Confocal laser scanning microscopy showing the cytoplasmic colocalization of TKTL1, HIF-1α, and USP9X in HCC-LM3 and Hep-3B cells. Nuclei are stained with DAPI (blue). n Immunofluorescence staining of HCC tissue microarrays showing the colocalization of TKTL1, HIF-1α, and USP9X. Inserted merge images confirm triprotein colocalization. Correlation analysis of TKTL1 and HIF-1α expression levels in HCC tissues (Pearson’s correlation coefficient: r = 0.1107, p = 0.003). Scale bar: 150 µm

Journal: Signal Transduction and Targeted Therapy

Article Title: Transketolase-like 1 potentiates PD-1 blockade in hepatocellular carcinoma by glycolysis to prime dendritic cell lactylation

doi: 10.1038/s41392-026-02875-2

Figure Lengend Snippet: TKTL1 activates glycolysis pathway by promoting HIF-1α deubiquitination through recruitment of USP9X in HCC. a Cycloheximide (CHX) chase assay in OE-VE (vector control) and OE-TKTL1 (TKTL1 overexpression) cells, assessing HIF-1α protein degradation kinetics over 0, 4, 8, and 12 h. β-actin serves as a loading control. b CHX chase assay in Sh-NC (negative control) and Sh-TKTL1 (TKTL1 knockdown) cells, evaluating HIF-1α degradation with or without proteasome inhibitor MG132 treatment. β-actin serves as a loading control. c Ubiquitination assay of HIF-1α in HCC-LM3 (Sh-NC vs. Sh-TKTL1) and Hep-3B (OE-VE vs. OE-TKTL1) cells treated with MG132. Immunoprecipitation (IP) with HIF-1α antibody and antibody incubation with ubiquitin (Ub) antibody detect ubiquitinated HIF-1α. d Co-immunoprecipitation (Co-IP) assay of endogenous proteins in HCC-LM3 and Hep-3B cells, confirming the interaction between TKTL1 and HIF-1α. IgG serves as a negative control; input lysates verify protein expression. e Co-IP assay of exogenous proteins in HEK-293T cells transfected with TKTL1 and HIF-1α expression plasmids, validating the TKTL1-HIF-1α interaction. IgG serves as a negative control. f Intersection analysis of TKTL1-interacting proteins identified via IP and deubiquitinating enzyme (DUB) family members, pinpointing USP9X as a key overlapping binding partner of TKTL1. g , h Co-IP assay identifying USP9X as a TKTL1-interacting protein. Co-IP assay demonstrating the interaction between USP9X and HIF-1α. IgG serves as a negative control. i GST-pull down assay transfected with Myc-USP9X, HA-TKTL1, and Flag-HIF-1α plasmids, verifying the formation of the TKTL1-USP9X-HIF-1α ternary complex. j AI-predicted structural model of the TKTL1-USP9X-HIF-1α ternary complex, illustrating the binding interface and spatial configuration of the three proteins. k IP assay using HIF-1α domain mutants in HEK-293T cells, confirming that USP9X binds to the inhibitory domain (ID) of HIF-1α. l IP assay using TKTL1 domain mutants in HEK-293T cells, identifying that HIF-1α binds to the T-pyr domain of TKTL1 and USP9X binds to the T-pyr domain of TKTL1. m Confocal laser scanning microscopy showing the cytoplasmic colocalization of TKTL1, HIF-1α, and USP9X in HCC-LM3 and Hep-3B cells. Nuclei are stained with DAPI (blue). n Immunofluorescence staining of HCC tissue microarrays showing the colocalization of TKTL1, HIF-1α, and USP9X. Inserted merge images confirm triprotein colocalization. Correlation analysis of TKTL1 and HIF-1α expression levels in HCC tissues (Pearson’s correlation coefficient: r = 0.1107, p = 0.003). Scale bar: 150 µm

Article Snippet: A combined secondary antibody was applied and left to incubate for 1 h. To maintain the integrity of the nucleus, DAPI staining (Beyotime, China) was utilized.

Techniques: Plasmid Preparation, Control, Over Expression, Negative Control, Knockdown, Ubiquitin Proteomics, Immunoprecipitation, Incubation, Co-Immunoprecipitation Assay, Expressing, Transfection, Analysis, Binding Assay, GST Pulldown Assay, Confocal, Laser-Scanning Microscopy, Staining, Immunofluorescence, Tissue

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