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pf562271  (MedChemExpress)


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    Structured Review

    MedChemExpress pf562271
    Pf562271, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 95/100, based on 43 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pf562271/PF-562271/pm41698499-36-15-12
    Average 95 stars, based on 43 article reviews
    pf562271 - by Bioz Stars, 2026-10
    95/100 stars

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    Related Articles

    other:

    Article Title: FAK-TRIM25 promotes HSC activation and glycolysis by inhibiting c-Myc ubiquitination via FBXW7.
    Article Snippet: Liver fibrosis is marked by hepatic stellate cell (HSC) activation and increased glucose consumption.. Focal adhesion kinase (FAK) upregulates c-Myc expression in HSCs, promoting aerobic glycolysis.. This study explores how FAK promotes HSC activation and glycolysis via TRIM25.

    Recombinant:

    Article Title: FBP1 as a key regulator of focal adhesion kinase-mediated hepatic stellate cell activation: Multi-omics and experimental validation
    Article Snippet: The following primary antibodies were purchased from Proteintech (Wuhan, China): lactate dehydrogenase A (LDHA) rabbit polyclonal antibodies (19987-1-AP), 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3 (PFKFB3) rabbit polyclonal antibodies (13763-1-AP), FAK mouse monoclonal antibodies (66258-1-Ig), FBP1 mouse monoclonal antibodies (12842-1-AP), collagen type I (COL1) mouse monoclonal antibodies (66761-1-Ig), alpha smooth muscle actin (α-SMA) rabbit polyclonal antibodies (14395-1-AP), hexokinase 2 (HK2) mouse monoclonal antibodies (66974-1-Ig), pyruvate kinase M2 (PKM2) mouse monoclonal antibodies (60268-1-Ig), and β-actin (23660-1-AP). pY397-FAK (AF3398) rabbit polyclonal antibody was obtained from Affinity Biosciences (Cincinnati, OH, United States). .. Recombinant FBP1 protein (HY- P70275 ) and PF562271 were obtained from MedChemExpress. ..



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    Transcriptomics analysis of differential gene expression. A: Principal component analysis (PCA) of normalized counts PCA showing gene expression variance among normal, carbon tetrachloride (CCl 4 ), and <t>PF562271</t> (PF) conditions. The first principal component (PC1) explains 59% of the variance, and PC2 explains 8%; B: Volcano plot showing differentially expressed genes (DEGs) between the normal and CCl 4 groups. Significant genes (log2 fold change > 1 or < -1, P < 0.05) are highlighted; C: Volcano plot comparing gene expression between the CCl 4 and PF groups. Significant genes are marked similarly; D: Mfuzz clustering of gene expression. Six gene clusters showing expression changes across the normal, CCl 4 , and PF groups, highlighting condition-specific gene regulation; E: UpSet plot showing the overlap of DEGs between comparisons; F: Venn diagram showing unique and shared DEGs between the normal vs CCl 4 and CCl 4 vs PF groups.
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    Transcriptomics analysis of differential gene expression. A: Principal component analysis (PCA) of normalized counts PCA showing gene expression variance among normal, carbon tetrachloride (CCl 4 ), and <t>PF562271</t> (PF) conditions. The first principal component (PC1) explains 59% of the variance, and PC2 explains 8%; B: Volcano plot showing differentially expressed genes (DEGs) between the normal and CCl 4 groups. Significant genes (log2 fold change > 1 or < -1, P < 0.05) are highlighted; C: Volcano plot comparing gene expression between the CCl 4 and PF groups. Significant genes are marked similarly; D: Mfuzz clustering of gene expression. Six gene clusters showing expression changes across the normal, CCl 4 , and PF groups, highlighting condition-specific gene regulation; E: UpSet plot showing the overlap of DEGs between comparisons; F: Venn diagram showing unique and shared DEGs between the normal vs CCl 4 and CCl 4 vs PF groups.
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    Selleck Chemicals focal adhesion kinase fak phosphorylation inhibitor pf562271
    Transcriptomics analysis of differential gene expression. A: Principal component analysis (PCA) of normalized counts PCA showing gene expression variance among normal, carbon tetrachloride (CCl 4 ), and <t>PF562271</t> (PF) conditions. The first principal component (PC1) explains 59% of the variance, and PC2 explains 8%; B: Volcano plot showing differentially expressed genes (DEGs) between the normal and CCl 4 groups. Significant genes (log2 fold change > 1 or < -1, P < 0.05) are highlighted; C: Volcano plot comparing gene expression between the CCl 4 and PF groups. Significant genes are marked similarly; D: Mfuzz clustering of gene expression. Six gene clusters showing expression changes across the normal, CCl 4 , and PF groups, highlighting condition-specific gene regulation; E: UpSet plot showing the overlap of DEGs between comparisons; F: Venn diagram showing unique and shared DEGs between the normal vs CCl 4 and CCl 4 vs PF groups.
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    Transcriptomics analysis of differential gene expression. A: Principal component analysis (PCA) of normalized counts PCA showing gene expression variance among normal, carbon tetrachloride (CCl 4 ), and <t>PF562271</t> (PF) conditions. The first principal component (PC1) explains 59% of the variance, and PC2 explains 8%; B: Volcano plot showing differentially expressed genes (DEGs) between the normal and CCl 4 groups. Significant genes (log2 fold change > 1 or < -1, P < 0.05) are highlighted; C: Volcano plot comparing gene expression between the CCl 4 and PF groups. Significant genes are marked similarly; D: Mfuzz clustering of gene expression. Six gene clusters showing expression changes across the normal, CCl 4 , and PF groups, highlighting condition-specific gene regulation; E: UpSet plot showing the overlap of DEGs between comparisons; F: Venn diagram showing unique and shared DEGs between the normal vs CCl 4 and CCl 4 vs PF groups.
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    Image Search Results


    Transcriptomics analysis of differential gene expression. A: Principal component analysis (PCA) of normalized counts PCA showing gene expression variance among normal, carbon tetrachloride (CCl 4 ), and PF562271 (PF) conditions. The first principal component (PC1) explains 59% of the variance, and PC2 explains 8%; B: Volcano plot showing differentially expressed genes (DEGs) between the normal and CCl 4 groups. Significant genes (log2 fold change > 1 or < -1, P < 0.05) are highlighted; C: Volcano plot comparing gene expression between the CCl 4 and PF groups. Significant genes are marked similarly; D: Mfuzz clustering of gene expression. Six gene clusters showing expression changes across the normal, CCl 4 , and PF groups, highlighting condition-specific gene regulation; E: UpSet plot showing the overlap of DEGs between comparisons; F: Venn diagram showing unique and shared DEGs between the normal vs CCl 4 and CCl 4 vs PF groups.

    Journal: World Journal of Gastroenterology

    Article Title: FBP1 as a key regulator of focal adhesion kinase-mediated hepatic stellate cell activation: Multi-omics and experimental validation

    doi: 10.3748/wjg.v31.i28.107361

    Figure Lengend Snippet: Transcriptomics analysis of differential gene expression. A: Principal component analysis (PCA) of normalized counts PCA showing gene expression variance among normal, carbon tetrachloride (CCl 4 ), and PF562271 (PF) conditions. The first principal component (PC1) explains 59% of the variance, and PC2 explains 8%; B: Volcano plot showing differentially expressed genes (DEGs) between the normal and CCl 4 groups. Significant genes (log2 fold change > 1 or < -1, P < 0.05) are highlighted; C: Volcano plot comparing gene expression between the CCl 4 and PF groups. Significant genes are marked similarly; D: Mfuzz clustering of gene expression. Six gene clusters showing expression changes across the normal, CCl 4 , and PF groups, highlighting condition-specific gene regulation; E: UpSet plot showing the overlap of DEGs between comparisons; F: Venn diagram showing unique and shared DEGs between the normal vs CCl 4 and CCl 4 vs PF groups.

    Article Snippet: LX-2 cells, an activated human HSCs line[ ], were treated with varying concentrations of the FAK inhibitor PF562271 (2.5 μM, 5 μM, 10 μM) based on the IC 50 provided by MCE (MedChem Express).

    Techniques: Gene Expression, Expressing

    Proteomics analysis of differential protein expression. A: Principal component analysis (PCA) of normalized protein counts PCA of protein expression across normal, carbon tetrachloride (CCl₄) and PF562271 (PF) conditions. The first principal component (PC1) explains 39.3% of variance, while PC2 explains 9.5%. The three conditions show clear separation; B: Volcano plot showing differentially expressed proteins between the normal and CCl₄ groups. Significant proteins ( P < 0.05, log2 fold change > 1 or < -1) are highlighted; C: Volcano plot comparing the CCl₄ and PF groups. Significant proteins are marked, indicating differential expression between these two conditions ( P < 0.05); D: Mfuzz clustering of protein expression profiles. Clusters 1, 3, and 4 are shown, highlighting distinct expression trends in normal, CCl₄, and PF conditions; E: UpSet plot showing overlaps of differentially expressed proteins between comparisons (normal vs CCl₄, CCl₄ vs PF) and clusters from Mfuzz analysis; F: Venn diagram showing overlap of differentially expressed proteins between the normal vs CCl₄ and CCl₄ vs PF groups. The diagram indicates unique and shared proteins across the conditions.

    Journal: World Journal of Gastroenterology

    Article Title: FBP1 as a key regulator of focal adhesion kinase-mediated hepatic stellate cell activation: Multi-omics and experimental validation

    doi: 10.3748/wjg.v31.i28.107361

    Figure Lengend Snippet: Proteomics analysis of differential protein expression. A: Principal component analysis (PCA) of normalized protein counts PCA of protein expression across normal, carbon tetrachloride (CCl₄) and PF562271 (PF) conditions. The first principal component (PC1) explains 39.3% of variance, while PC2 explains 9.5%. The three conditions show clear separation; B: Volcano plot showing differentially expressed proteins between the normal and CCl₄ groups. Significant proteins ( P < 0.05, log2 fold change > 1 or < -1) are highlighted; C: Volcano plot comparing the CCl₄ and PF groups. Significant proteins are marked, indicating differential expression between these two conditions ( P < 0.05); D: Mfuzz clustering of protein expression profiles. Clusters 1, 3, and 4 are shown, highlighting distinct expression trends in normal, CCl₄, and PF conditions; E: UpSet plot showing overlaps of differentially expressed proteins between comparisons (normal vs CCl₄, CCl₄ vs PF) and clusters from Mfuzz analysis; F: Venn diagram showing overlap of differentially expressed proteins between the normal vs CCl₄ and CCl₄ vs PF groups. The diagram indicates unique and shared proteins across the conditions.

    Article Snippet: LX-2 cells, an activated human HSCs line[ ], were treated with varying concentrations of the FAK inhibitor PF562271 (2.5 μM, 5 μM, 10 μM) based on the IC 50 provided by MCE (MedChem Express).

    Techniques: Expressing, Quantitative Proteomics

    Inhibitors

    Journal: Methods in molecular biology (Clifton, N.J.)

    Article Title: Reconstructing signaling networks using biosensor barcoding

    doi: 10.1007/978-1-0716-3834-7_13

    Figure Lengend Snippet: Inhibitors

    Article Snippet: Drug Name Target Stock Concentration (mM) Working Concentration (μM) Source Identifier Gefitinib EGFR 1 1 Cayman 13166 PF562271 FAK 10 1 AdipoGen SYN-1064 ZSTK474 PI3K 10 1 Cell Signaling 13213 GDC-0994 ERK 10 1 APExBIO Technology B5817 BAPTA-AM Calcium 10 10 Selleck S7534 Y27632 ROCK 10 10 Enzo Life Sciences ALX-270–333 Dasatinib Src 10 1 Cayman 11498 LY2584702 S6K 1 1 Selleck S7698 Open in a separate window Inhibitors.

    Techniques: Concentration Assay