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Image Search Results
Journal: CNS Neuroscience & Therapeutics
Article Title: ANGPT2 /Tie2 Enhances H3K18la ‐Mediated Macrophage M2 Polarization to Promote Endothelial Cell Proliferation in the Chronically Ischaemic Brain
doi: 10.1002/cns.70879
Figure Lengend Snippet: Results of flow cytometry, western blotting, and qPCR for determining the macrophage polarization status and the expression of proangiogenic factors. (A) Representative flow cytometry histogram showing the fluorescence intensity of 6 macrophage polarization markers. (B) Bar charts showing the MFIs of macrophage polarization markers ( n = 3; one‐way ANOVA and Tukey's multiple comparisons test). (C) Representative western blot showing the relative levels of iNOS, TNF‐α, IL‐6, VEGFA, IGF1, EGR1, IL‐10, and MMP9 (normalized to β‐Actin expression) in primary macrophages. (D) Densitometric analyses of the relative levels of iNOS, TNF‐α, IL‐6, VEGFA, IGF1, EGR1, IL‐10, and MMP9 ( n = 3; one‐way ANOVA and Tukey's multiple comparisons test). (E) qPCR results showing the relative mRNA expression of iNOS , TNF‐α , IL‐6 , VEGFA , IGF1 , EGR1 , IL‐10 , and MMP9 in primary macrophages ( n = 3; one‐way ANOVA and Tukey's multiple comparisons test). (F) Representative flow cytometry histogram showing the fluorescence intensity of macrophage polarization markers. (G) Bar charts showing the MFIs of macrophage polarization markers ( n = 3; one‐way ANOVA and Tukey's multiple comparisons test). (H) Representative western blot showing the relative levels of iNOS, TNF‐α, IL‐6, VEGFA, IGF1, EGR1, IL‐10, and MMP9 (normalized to β‐Actin expression) in TDMs. (I) Densitometric analyses of the relative levels of iNOS, TNF‐α, IL‐6, VEGFA, IGF1, EGR1, IL‐10, and MMP9 ( n = 3; one‐way ANOVA and Tukey's multiple comparisons test). (J) qPCR results showing the relative mRNA expression of iNOS , TNF‐α , IL‐6 , VEGFA , IGF1 , EGR1 , IL‐10 , and MMP9 in TDMs ( n = 3; one‐way ANOVA and Tukey's multiple comparisons test). The error bars represent the ± SDs. * p < 0.05, ** p < 0.01, *** p < 0.001, and **** p < 0.0001. MFI, mean fluorescence intensity; TDMs, THP‐1‐derived macrophages; TEMs, Tie2‐expressing monocytes/macrophages; TNMs, Tie2‐negative monocytes/macrophages.
Article Snippet: In accordance with previous studies,
Techniques: Flow Cytometry, Western Blot, Expressing, Fluorescence, Derivative Assay
Journal: CNS Neuroscience & Therapeutics
Article Title: ANGPT2 /Tie2 Enhances H3K18la ‐Mediated Macrophage M2 Polarization to Promote Endothelial Cell Proliferation in the Chronically Ischaemic Brain
doi: 10.1002/cns.70879
Figure Lengend Snippet: Western blot and immunofluorescence staining showing the expression of relevant cytokines in the CIB of 2VO + EMS rats. (A) Representative images of triple immunofluorescence staining showing Tie2 + , CD11b + , and CD206 + cells in the CIB of each group. Bar = 50 μm. (B) Counts of M2 TEMs (Tie2 + /CD11b + /CD206 + ) in each group ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (C) Representative western blot showing the relative expression of ANGPT2, CD206, and ARG1 (normalized to β‐Actin expression). (D) Densitometric analyses of the relative expression of ANGPT2, CD206, and ARG1 ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (E) Representative images of double immunofluorescence staining showing CD31 + and Ki67 + cells in the CIB of each group. Bar = 50 μm. (F) Column chart showing the counts of CD31 + cells in each group ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (G) Column chart showing the proportion of Ki67‐positive ECs in each group ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (H) Representative western blot showing the relative expression of CD31 (normalized to β‐Actin expression). (I) Densitometric analyses of the relative expression of CD31 ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (H) * p < 0.05, ** p < 0.01, *** p < 0.001, and **** p < 0.0001. The error bars represent the ±SDs. CIB: Chronically ischaemic brain; TEMs, Tie2‐expressing monocytes/macrophages.
Article Snippet: In accordance with previous studies,
Techniques: Western Blot, Immunofluorescence, Staining, Expressing, Double Immunofluorescence Staining
Journal: CNS Neuroscience & Therapeutics
Article Title: ANGPT2 /Tie2 Enhances H3K18la ‐Mediated Macrophage M2 Polarization to Promote Endothelial Cell Proliferation in the Chronically Ischaemic Brain
doi: 10.1002/cns.70879
Figure Lengend Snippet: Behavioral test, western blotting, and immunofluorescence results in 2VO + EMS rats 4‐week post‐modeling. (A) Quantitative analysis of the percentage of recognition preference for the novel object in each group rats in NORT test ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (B) Representative image showing the swimming paths in each group rats during the MWM test. (C) Line chart showing the average escape latencies in each group rats during the MWM test ( n = 6; two‐way ANOVA and Tukey's multiple comparisons test; ***: TEMs vs. TEMs ANGPT2 , ****: TEMs ANGPT2 vs. TEMs ANGPT2+Oxamate , TEMs ANGPT2 vs. TEMs ANGPT2+C646 , TEMs ANGPT2 vs. TEMs ANGPT2+LPS ). (D) Quantitative analysis of the time spent in target quadrant in each group rats during the MWM test ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (E) Quantitative analysis of the number of platform crossings in each group rats during the MWM test ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (F) Quantitative analysis of the average swimming speed in each group rats during the MWM test ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (G) Representative western blot showing the relative expression of CD31 (normalized to β‐Actin expression). (H) Densitometric analyses of the relative expression of CD31 ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (I) Representative images of double immunofluorescence staining showing CD31 + and Ki67 + cells in the CIB of each group. Bar = 50 μm. (J) Column chart showing the counts of CD31 + cells in each group ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). (K) Column chart showing the proportion of Ki67‐positive ECs in each group ( n = 6; one‐way ANOVA and Tukey's multiple comparisons test). The error bars represent the ± SDs. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. 2VO, 2‐vessel occlusion; EMS, encephalomyosynangiosis; MWM, Morris water maze; NORT, novel object recognition test; TEMs, Tie2‐expressing monocytes/macrophages.
Article Snippet: In accordance with previous studies,
Techniques: Western Blot, Immunofluorescence, Expressing, Double Immunofluorescence Staining
Journal: bioRxiv
Article Title: Meta Learning Improves Robustness and Performance in Machine Learning-Guided Protein Engineering
doi: 10.1101/2023.01.30.526201
Figure Lengend Snippet: Design and screening of yeast display antibody (scFv) libraries. (A) Workflow overview: Degenerate oligonucleotides are computationally designed based on previously published deep mutational scanning data (DMS) ( Mason et al ., 2021 ; Koenig et al ., 2015 ) and crystal structures (PDB: 1N8Z, 4ZFF, 4ZFG), transformed into yeast, and screened by FACS for binding to antigen. The sorted populations are then used for targeted deep sequencing of the antibody variable regions. (B) The crystal structure of 4D5 scFv (grey) in complex with HER2 (blue) (PDB: 1N8Z). The amino acid positions of 4D5 targeted for combinatorial mutagenesis are highlighted in pink. (C) The 4D5 scFv library is screened for binding to HER2 antigen by FACS; dot plots show the library is fractionated into HER2-binding populations (High-, Low-, or Non-binding) based on fluorescence intensity. Multiple rounds of FACS are performed (Fig. S1). (D) Protein sequence logo plots represent the mutagenesis regions of the 4D5 scFV and are derived from deep sequencing of the various HER2-binding populations. (E) The crystal structure of 5A12 scFv (grey) in complex with VEGF antigen (orange) (PDB: 4ZFF). The amino acid positions of 5A12 targeted for combinatorial mutagenesis are highlighted in pink (F) The 5A12 scFv library is screened for binding to VEGF antigen by FACS; dot plots show the library is fractionated into VEGF-binding populations (High- or Low/Non-binding) based on fluorescence intensity. Multiple rounds of FACS are performed (Fig. S2). (G) Protein sequence logo plots represent the mutagenesis regions of the 5A12 scFV and are derived from deep sequencing of the various VEGF-binding populations. (H) The crystal structure of 5A12 scFv (grey) in complex with Ang2 antigen (orange) (PDB: 4ZFG). The amino acid positions of 5A12 targeted for combinatorial mutagenesis are highlighted in pink (I) The 5A12 scFv library is screened for binding to VEGF antigen by FACS; dot plots show the library is fractionated into Ang2-binding populations (High- or Low/Non-binding) based on fluorescence intensity. Multiple rounds of FACS are performed (Fig. S3). (J) Protein sequence logo plots represent the mutagenesis regions of the 5A12 scFV and are derived from deep sequencing of the various Ang2-binding populations.
Article Snippet: The 5A12 library was first incubated with either 0.5 nM VEGF (Acro, VE5-H82Q0-200ug) or 12 nM
Techniques: Transformation Assay, Binding Assay, Sequencing, Mutagenesis, Fluorescence, Derivative Assay
Journal: bioRxiv
Article Title: Meta Learning Improves Robustness and Performance in Machine Learning-Guided Protein Engineering
doi: 10.1101/2023.01.30.526201
Figure Lengend Snippet: Meta learning applied to supervised machine learning models trained to predict multi-antigen binding classification using yeast antibody (scFv) sequence data with largely single-antigen binding classification labels. (A) Schematic representation of machine learning task. The training set is constructed from deep sequencing of 5A12 libraries following the final round of the VEGF FACS screen (Fig. S2). Positive (High-binding) and negative (Low/Non-binding) VEGF labels are retained and sequences are arbitrarily assigned an Ang2 binding classification. Test and meta sets consist of 5A12 variants with binding labels for both targets and are batched by combining deep sequencing from both VEGF and Ang2 final round FACS screens (Fig. S2, S3). (B,C, and D) Meta learning and baseline prediction performance (Matthew’s Correlation Coefficient) as a function of the number of training samples. FT refers to Fine-Tune Baseline. Points correspond to mean performance and shaded regions to 95 % confidence intervals across 3 random seeds. Performance curves plotted for meta sets consisting of 32 (bright yellow), 96 (dark yellow), 288 (red), and 864 (purple) sequences.
Article Snippet: The 5A12 library was first incubated with either 0.5 nM VEGF (Acro, VE5-H82Q0-200ug) or 12 nM
Techniques: Binding Assay, Sequencing, Construct