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rabbit monoclonal anti human fn1  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc rabbit monoclonal anti human fn1
    Rabbit Monoclonal Anti Human Fn1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+human+fn1+antibody/pmc12547244__mmc1-3-5-9
    Average 86 stars, based on 1 article reviews
    rabbit monoclonal anti human fn1 - by Bioz Stars, 2026-10
    86/100 stars

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    Cell Signaling Technology Inc human fibronectin
    (A) Graph shows the mean fold change (percentage) of mRNA expression of 43 GT families in pancreatic cancer cells (PANC-1, MIA PaCa-2, Capan-2) after 3 hours of interaction of cancer cells with platelets compared to before their interaction (control). Colors represent an overexpression of at least 150% (red), 100% (pink), 50% (purple) or less than 50% (blue) of the mRNA of GT families in cancer cells after platelet interaction or, conversely, an underexpression of at least 25% (red), 15% (pink), 10% (purple) or less than 10% (blue). Data were normalized to the housekeeping gene HPRT1 and histogram represents the mean of three independent experiments (ANOVA test, ****P < 0.0001, * P = 0.0401). (B) Representative images and corresponding quantification of glycan motif detection using 4 lectins: VVL/VVA, (left upper panel) AAL (right upper panel), ConA (left lower panel), PHA-E (right lower panel) by Western Blot of pancreatic cancer cell lysates (PANC-1, MIA PaCa-2 or Capan-2, 40 µg) interacting (+) or not (−) with platelets for 3 hours. GAPDH expression was detected as a loading control for the experiment. The graphs show the mean of integrated density (+/− SEM) of glycan motif expression normalized to cancer cells alone (t-test, **P = 0.0086, * P = 0.0240, ns = not significant). (C) The graph represents the mean fold change (percentage) of mRNA expression of 124 genes encoding proteins involved in inflammation and metastasis in a human colorectal cancer cell line (HT-29) after 3 hours of interaction with platelets compared to before their interaction. Colors represent an overexpression of at least 300% (red), 200% (pink), 100% (purple) or less than 100% (blue) of the mRNA in platelet-educated cancer cells. Data were normalized to the housekeeping gene HPRT1. (D) Protein-protein interaction network using STRING database 12.0. Only the 38 genes with at least an 100% overexpression were considered to perform this analysis. Nodes represent proteins and each node color (red, yellow, dark blue, light blue or green) indicates a gene cluster. Edges represent known interactions from the curated database (light blue) or experimentally determined (pink); scientific literature (yellow/green); co-expression (black) or protein homology (dark blue). (E) Representative image of <t>fibronectin</t> <t>(FN1,</t> 273 kDa, left panel) detection by Western Blot in 15 µg of PANCO2 cell lysates 6, 24 or 48 hours after their interaction with platelets (+) or not (−). GAPDH expression was detected as a loading control. The histogram (down panel) presents the relative quantification of the FN1/GAPDH ratio in PANCO2 cells + platelets, normalized to PANCO2 cells alone, over time up to 48 hours.
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    R&D Systems mouse anti fibronectin fn1
    Quantitative proteomics of PC-3 and PC-3AcT EVs. A , comparison of identified EV proteins with Vesiclepedia ( www.microvesicles.org ). Venn diagram indicated that the majority of both EV proteins were previously known EV proteins. B , most of top 100 EV proteins frequently identified in Vesiclepedia are included in our EV proteome. C , heatmap showing enrichment of EV marker proteins related to endosome, tetraspanins, membrane-binding proteins, and EV-associated proteins, which are canonical EV proteins by MISEV guidelines . D , differentially regulated proteins in PC-3 and PC-3AcT EVs are indicated in a volcano plot. Representative proteins validated by Western blotting are indicated by a green arrow. E , Western blotting showing differential expression of proteins including CTNNB1, PKM, <t>FN1,</t> and TSG101 as quantified in proteomics. Additionally, CTNNB1 was further validated in independently isolated EVs to confirm its differential expression observed in quantitative proteomics ( <xref ref-type=supplemental Fig. S4 ). Western blotting analyses were performed using independent biological replicate of isolated EVs, separate from those used in proteomics. F , GO analyses for biological process, cellular component, and molecular function in significant and nonsignificant regulated proteins between PC-3 and PC-3AcT EVs ( p -value <0.1). " width="250" height="auto" />
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    Cell Signaling Technology Inc rabbit anti human fn1 igg antibody
    Prognostic value of LYZ and LILRB4 proteins in DLBCL receiving R-CHOP ( n = 37, 10X) and aNSCLC receiving ICIs ( n = 29, 2X and 10X). A Representative IHCs staining of LYZ in patient 1 (PFS = 1697 days) and patient 2 (PFS = 341 days), LILRB4 in patient 3 (PFS = 64 days) and patient 4 (PFS = 826 days). B Kaplan–Meier survival curves of PFS grouped by the LYZ and LILRB4 expression in DLBCL. C Representative mIF staining of LYZ, LILRB4, and pan Cytokeratin. D Kaplan–Meier survival curves of OS grouped by the LYZ and LILRB4 expression in aNSCLC. E Kaplan–Meier survival curves of PFS grouped by the COL3A1 expression and <t>FN1</t> + macrophages in DLBCL. DLBCL: diffuse large B cell lymphoma; R-CHOP: rituximab, cyclophosphamide, doxorubicin: vincristine, and prednisone; aNSCLC: advanced non-small cell lung cancer; ICIs: immune checkpoint inhibitors; IHC: immunohistochemistry; PFS: progression-free survival; mIF: multiple immunofluorescence; and OS: overall survival
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    Image Search Results


    (A) Graph shows the mean fold change (percentage) of mRNA expression of 43 GT families in pancreatic cancer cells (PANC-1, MIA PaCa-2, Capan-2) after 3 hours of interaction of cancer cells with platelets compared to before their interaction (control). Colors represent an overexpression of at least 150% (red), 100% (pink), 50% (purple) or less than 50% (blue) of the mRNA of GT families in cancer cells after platelet interaction or, conversely, an underexpression of at least 25% (red), 15% (pink), 10% (purple) or less than 10% (blue). Data were normalized to the housekeeping gene HPRT1 and histogram represents the mean of three independent experiments (ANOVA test, ****P < 0.0001, * P = 0.0401). (B) Representative images and corresponding quantification of glycan motif detection using 4 lectins: VVL/VVA, (left upper panel) AAL (right upper panel), ConA (left lower panel), PHA-E (right lower panel) by Western Blot of pancreatic cancer cell lysates (PANC-1, MIA PaCa-2 or Capan-2, 40 µg) interacting (+) or not (−) with platelets for 3 hours. GAPDH expression was detected as a loading control for the experiment. The graphs show the mean of integrated density (+/− SEM) of glycan motif expression normalized to cancer cells alone (t-test, **P = 0.0086, * P = 0.0240, ns = not significant). (C) The graph represents the mean fold change (percentage) of mRNA expression of 124 genes encoding proteins involved in inflammation and metastasis in a human colorectal cancer cell line (HT-29) after 3 hours of interaction with platelets compared to before their interaction. Colors represent an overexpression of at least 300% (red), 200% (pink), 100% (purple) or less than 100% (blue) of the mRNA in platelet-educated cancer cells. Data were normalized to the housekeeping gene HPRT1. (D) Protein-protein interaction network using STRING database 12.0. Only the 38 genes with at least an 100% overexpression were considered to perform this analysis. Nodes represent proteins and each node color (red, yellow, dark blue, light blue or green) indicates a gene cluster. Edges represent known interactions from the curated database (light blue) or experimentally determined (pink); scientific literature (yellow/green); co-expression (black) or protein homology (dark blue). (E) Representative image of fibronectin (FN1, 273 kDa, left panel) detection by Western Blot in 15 µg of PANCO2 cell lysates 6, 24 or 48 hours after their interaction with platelets (+) or not (−). GAPDH expression was detected as a loading control. The histogram (down panel) presents the relative quantification of the FN1/GAPDH ratio in PANCO2 cells + platelets, normalized to PANCO2 cells alone, over time up to 48 hours.

    Journal: PLOS One

    Article Title: Consequences of platelet-educated cancer cells on the expression of inflammatory and metastatic glycoproteins

    doi: 10.1371/journal.pone.0317096

    Figure Lengend Snippet: (A) Graph shows the mean fold change (percentage) of mRNA expression of 43 GT families in pancreatic cancer cells (PANC-1, MIA PaCa-2, Capan-2) after 3 hours of interaction of cancer cells with platelets compared to before their interaction (control). Colors represent an overexpression of at least 150% (red), 100% (pink), 50% (purple) or less than 50% (blue) of the mRNA of GT families in cancer cells after platelet interaction or, conversely, an underexpression of at least 25% (red), 15% (pink), 10% (purple) or less than 10% (blue). Data were normalized to the housekeeping gene HPRT1 and histogram represents the mean of three independent experiments (ANOVA test, ****P < 0.0001, * P = 0.0401). (B) Representative images and corresponding quantification of glycan motif detection using 4 lectins: VVL/VVA, (left upper panel) AAL (right upper panel), ConA (left lower panel), PHA-E (right lower panel) by Western Blot of pancreatic cancer cell lysates (PANC-1, MIA PaCa-2 or Capan-2, 40 µg) interacting (+) or not (−) with platelets for 3 hours. GAPDH expression was detected as a loading control for the experiment. The graphs show the mean of integrated density (+/− SEM) of glycan motif expression normalized to cancer cells alone (t-test, **P = 0.0086, * P = 0.0240, ns = not significant). (C) The graph represents the mean fold change (percentage) of mRNA expression of 124 genes encoding proteins involved in inflammation and metastasis in a human colorectal cancer cell line (HT-29) after 3 hours of interaction with platelets compared to before their interaction. Colors represent an overexpression of at least 300% (red), 200% (pink), 100% (purple) or less than 100% (blue) of the mRNA in platelet-educated cancer cells. Data were normalized to the housekeeping gene HPRT1. (D) Protein-protein interaction network using STRING database 12.0. Only the 38 genes with at least an 100% overexpression were considered to perform this analysis. Nodes represent proteins and each node color (red, yellow, dark blue, light blue or green) indicates a gene cluster. Edges represent known interactions from the curated database (light blue) or experimentally determined (pink); scientific literature (yellow/green); co-expression (black) or protein homology (dark blue). (E) Representative image of fibronectin (FN1, 273 kDa, left panel) detection by Western Blot in 15 µg of PANCO2 cell lysates 6, 24 or 48 hours after their interaction with platelets (+) or not (−). GAPDH expression was detected as a loading control. The histogram (down panel) presents the relative quantification of the FN1/GAPDH ratio in PANCO2 cells + platelets, normalized to PANCO2 cells alone, over time up to 48 hours.

    Article Snippet: Primary antibodies used were directed against a human polypeptide N-acetylgalactosaminyltransferase 3 (GALNT3, AF7174, Bio-techne, 0.5 μg/mL), a human fibronectin (FN1, 26836, Cell Signaling Technology, 1/1000) and a mouse FN1 (Ab199056, Abcam, 1/1000).

    Techniques: Expressing, Control, Over Expression, Glycoproteomics, Western Blot, Quantitative Proteomics

    Summary of genes over-expressed by at least 100% in platelet-educated cancer cells compared to cancer cells alone.

    Journal: PLOS One

    Article Title: Consequences of platelet-educated cancer cells on the expression of inflammatory and metastatic glycoproteins

    doi: 10.1371/journal.pone.0317096

    Figure Lengend Snippet: Summary of genes over-expressed by at least 100% in platelet-educated cancer cells compared to cancer cells alone.

    Article Snippet: Primary antibodies used were directed against a human polypeptide N-acetylgalactosaminyltransferase 3 (GALNT3, AF7174, Bio-techne, 0.5 μg/mL), a human fibronectin (FN1, 26836, Cell Signaling Technology, 1/1000) and a mouse FN1 (Ab199056, Abcam, 1/1000).

    Techniques: Over Expression, Protease Inhibitor, Activity Assay, Binding Assay, Migration, Gene Expression, Cell Differentiation, Membrane, Infection, Transduction, Activation Assay, Transplantation Assay, Coagulation

    (A) Using miRNA transfection, we generated a murine pancreatic cancer line that underexpress fibronectin, called PANCO2 low FN1 cells. (B) Representative graphs and corresponding quantification of GFP detection (upper panels) by flow cytometry in PANCO2 mock (brown) vs. PANCO2 low FN1 (blue) cells. The histogram represents the mean value of four independent experiments (t-test, ****P < 0.0001). Representative graphs and respective quantification of FN1 detection (lower panels) with unconjugated anti-mouse FN1 antibody (2 µg/mL) and AF647-conjugated anti-rabbit IgG secondary antibody (2 µg/mL) by flow cytometry in PANCO2 mock (brown) vs. PANCO2 low FN1 (blue) cells compared to isotype control (2 µg/mL) detected with AF47-conjugated anti-rabbit IgG secondary antibody (brown curves). Histogram shows mean fluorescence intensity (+/− SEM) from three independent experiments (t-test, **P = 0.0025). (C) Representative images of three independent experiments of PANCO2 mock or PANCO2 low FN1 cells over time up to 24 hours (holotomographic microscopy bars, 10 µm). (D) Curves (left panel) were generated with the “Cell Death Assay” module showing the percentage of cell death in PANCO2 mock (solid line) or PANCO2 low FN1 (dashed line) cells over 24 hours. The histogram (right panel) shows the mean area under the preceding curve (+/- SEM) of three independent experiments (t-test, ns = not significant). (E) Representative images (left panel) of nine independent experiments of wound healing assay experiments evaluating PANCO2 mock or PANCO2 low FN1 cell migration over 24 hours (10X objective, bars 125 µm). Graph (right panel) shows the mean percentage of area recovery (+/− SEM), from these nine independent experiments, corresponding to the migration of PANCO2 mock or PANCO2 low FN1 cells (5 images per experiment and per well, t-test, ****P < 0,0001). (F) Representative images (left panel) of five independent migration assays to detect PANCO2 mock or PANCO2 low FN1 migrated cells, with Hoechst 33342 after 16 hours. The negative control was performed with the same cells but without FCS in the lower chamber (20X objective, bars 125 µm). Graph (right panel) represents the mean (+/− SEM) of the number of migrated PANCO2 mock or PANCO2 low FN1 cells, from five independent experiments, after 16 hours of incubation (10 images per experiment and per well, t-test, * P = 0.03, n = 5).

    Journal: PLOS One

    Article Title: Consequences of platelet-educated cancer cells on the expression of inflammatory and metastatic glycoproteins

    doi: 10.1371/journal.pone.0317096

    Figure Lengend Snippet: (A) Using miRNA transfection, we generated a murine pancreatic cancer line that underexpress fibronectin, called PANCO2 low FN1 cells. (B) Representative graphs and corresponding quantification of GFP detection (upper panels) by flow cytometry in PANCO2 mock (brown) vs. PANCO2 low FN1 (blue) cells. The histogram represents the mean value of four independent experiments (t-test, ****P < 0.0001). Representative graphs and respective quantification of FN1 detection (lower panels) with unconjugated anti-mouse FN1 antibody (2 µg/mL) and AF647-conjugated anti-rabbit IgG secondary antibody (2 µg/mL) by flow cytometry in PANCO2 mock (brown) vs. PANCO2 low FN1 (blue) cells compared to isotype control (2 µg/mL) detected with AF47-conjugated anti-rabbit IgG secondary antibody (brown curves). Histogram shows mean fluorescence intensity (+/− SEM) from three independent experiments (t-test, **P = 0.0025). (C) Representative images of three independent experiments of PANCO2 mock or PANCO2 low FN1 cells over time up to 24 hours (holotomographic microscopy bars, 10 µm). (D) Curves (left panel) were generated with the “Cell Death Assay” module showing the percentage of cell death in PANCO2 mock (solid line) or PANCO2 low FN1 (dashed line) cells over 24 hours. The histogram (right panel) shows the mean area under the preceding curve (+/- SEM) of three independent experiments (t-test, ns = not significant). (E) Representative images (left panel) of nine independent experiments of wound healing assay experiments evaluating PANCO2 mock or PANCO2 low FN1 cell migration over 24 hours (10X objective, bars 125 µm). Graph (right panel) shows the mean percentage of area recovery (+/− SEM), from these nine independent experiments, corresponding to the migration of PANCO2 mock or PANCO2 low FN1 cells (5 images per experiment and per well, t-test, ****P < 0,0001). (F) Representative images (left panel) of five independent migration assays to detect PANCO2 mock or PANCO2 low FN1 migrated cells, with Hoechst 33342 after 16 hours. The negative control was performed with the same cells but without FCS in the lower chamber (20X objective, bars 125 µm). Graph (right panel) represents the mean (+/− SEM) of the number of migrated PANCO2 mock or PANCO2 low FN1 cells, from five independent experiments, after 16 hours of incubation (10 images per experiment and per well, t-test, * P = 0.03, n = 5).

    Article Snippet: Primary antibodies used were directed against a human polypeptide N-acetylgalactosaminyltransferase 3 (GALNT3, AF7174, Bio-techne, 0.5 μg/mL), a human fibronectin (FN1, 26836, Cell Signaling Technology, 1/1000) and a mouse FN1 (Ab199056, Abcam, 1/1000).

    Techniques: Transfection, Generated, Flow Cytometry, Control, Fluorescence, Microscopy, Wound Healing Assay, Migration, Negative Control, Incubation

    Quantitative proteomics of PC-3 and PC-3AcT EVs. A , comparison of identified EV proteins with Vesiclepedia ( www.microvesicles.org ). Venn diagram indicated that the majority of both EV proteins were previously known EV proteins. B , most of top 100 EV proteins frequently identified in Vesiclepedia are included in our EV proteome. C , heatmap showing enrichment of EV marker proteins related to endosome, tetraspanins, membrane-binding proteins, and EV-associated proteins, which are canonical EV proteins by MISEV guidelines . D , differentially regulated proteins in PC-3 and PC-3AcT EVs are indicated in a volcano plot. Representative proteins validated by Western blotting are indicated by a green arrow. E , Western blotting showing differential expression of proteins including CTNNB1, PKM, FN1, and TSG101 as quantified in proteomics. Additionally, CTNNB1 was further validated in independently isolated EVs to confirm its differential expression observed in quantitative proteomics ( <xref ref-type=supplemental Fig. S4 ). Western blotting analyses were performed using independent biological replicate of isolated EVs, separate from those used in proteomics. F , GO analyses for biological process, cellular component, and molecular function in significant and nonsignificant regulated proteins between PC-3 and PC-3AcT EVs ( p -value <0.1). " width="100%" height="100%">

    Journal: Molecular & Cellular Proteomics : MCP

    Article Title: Metabolic Reprogramming Into a Glycolysis Phenotype Induced by Extracellular Vesicles Derived From Prostate Cancer Cells

    doi: 10.1016/j.mcpro.2025.100944

    Figure Lengend Snippet: Quantitative proteomics of PC-3 and PC-3AcT EVs. A , comparison of identified EV proteins with Vesiclepedia ( www.microvesicles.org ). Venn diagram indicated that the majority of both EV proteins were previously known EV proteins. B , most of top 100 EV proteins frequently identified in Vesiclepedia are included in our EV proteome. C , heatmap showing enrichment of EV marker proteins related to endosome, tetraspanins, membrane-binding proteins, and EV-associated proteins, which are canonical EV proteins by MISEV guidelines . D , differentially regulated proteins in PC-3 and PC-3AcT EVs are indicated in a volcano plot. Representative proteins validated by Western blotting are indicated by a green arrow. E , Western blotting showing differential expression of proteins including CTNNB1, PKM, FN1, and TSG101 as quantified in proteomics. Additionally, CTNNB1 was further validated in independently isolated EVs to confirm its differential expression observed in quantitative proteomics ( supplemental Fig. S4 ). Western blotting analyses were performed using independent biological replicate of isolated EVs, separate from those used in proteomics. F , GO analyses for biological process, cellular component, and molecular function in significant and nonsignificant regulated proteins between PC-3 and PC-3AcT EVs ( p -value <0.1).

    Article Snippet: The following primary antibodies were used: rabbit anti-CD81 (dilution 1:1000, 56039S), rabbit anti-hexokinase 1 (HK1) (1:500, 2024S), rabbit anti-hexokinase 2 (HK2) (1:500, 2887), rabbit anti-phosphofructokinase (PFKP) (1:500, 8164), rabbit anti-p-ERK (1:500, 9101), rabbit anti-ERK (1:500, 9102S), rabbit anti-cyclin B1 (1:500, 12,231), rabbit anti-p-cdc42 (Thr161) (1:500, 9114S), rabbit anti-p-cdc2 (Tyr15) (1:500, 4539), mouse anti-β-actin (1:1000, 3700S) purchased from Cell Signaling Technology; mouse anti-CD9 (1:1000, MAB2529), mouse anti-fibronectin (FN1) (1:500, MAB1918) purchased from R&D Systems; mouse anti-cytochrome c (CYCS) (1:1000, 556,433) purchased from BD; rabbit anti-syntenin-1 (1:1000, ab19903), mouse anti-TSG101 (1:1000, ab125011) purchased from Abcam; mouse anti-β-catenin (CTNNB1) (1:500, sc-7963), rabbit anti-cyclin D1 (1:500, sc-718), mouse anti-pyruvate kinase M1/2 (PKM) (1:500, sc-365684) purchased from Santa Cruz Biotechnology; and OXPHOS Human WB antibody Cocktail (mouse anti-ATP5A, -UQCRC2, -SDHB, -COX2, -NDUFB8) (1:500, 45-8199) purchased from Invitrogen.

    Techniques: Quantitative Proteomics, Comparison, Marker, Membrane, Binding Assay, Western Blot, Isolation

    Increased uptake of PC-3AcT EVs and regulated proteins related to their uptake by PC-3 cells. A , far red –labeled EVs at 2.0 × 10 9 particles/ml were used to treat PC-3 cells and their taken fluorescent EVs were measured by fluorescence microscope. PC-3AcT EVs showed better uptake than PC-3 EVs in PC-3 cells. Please note that fluorescent spots that exceed 1 μm represent clusters of labeled EV-derived components or aggregates in cellular compartments ( e.g. , endosomes or lysosomes). B , differentially regulated EV proteins were mapped in KEGG ECM–receptor interaction annotation. Collagen COLA1, FN1, and other ECMs were overexpressed in PC-3AcT EVs. C , protein–protein interaction network among 1.5-fold upregulated PC-3AcT EV proteins was mapped in the BioGRID protein interaction database and their interactions were visualized by Cytoscape ( cytoscape.org ). EV proteins were grouped based on their main functionality and related proteins as indicated by a dashed line box. p -values (∗∗∗∗ < 0.0001).

    Journal: Molecular & Cellular Proteomics : MCP

    Article Title: Metabolic Reprogramming Into a Glycolysis Phenotype Induced by Extracellular Vesicles Derived From Prostate Cancer Cells

    doi: 10.1016/j.mcpro.2025.100944

    Figure Lengend Snippet: Increased uptake of PC-3AcT EVs and regulated proteins related to their uptake by PC-3 cells. A , far red –labeled EVs at 2.0 × 10 9 particles/ml were used to treat PC-3 cells and their taken fluorescent EVs were measured by fluorescence microscope. PC-3AcT EVs showed better uptake than PC-3 EVs in PC-3 cells. Please note that fluorescent spots that exceed 1 μm represent clusters of labeled EV-derived components or aggregates in cellular compartments ( e.g. , endosomes or lysosomes). B , differentially regulated EV proteins were mapped in KEGG ECM–receptor interaction annotation. Collagen COLA1, FN1, and other ECMs were overexpressed in PC-3AcT EVs. C , protein–protein interaction network among 1.5-fold upregulated PC-3AcT EV proteins was mapped in the BioGRID protein interaction database and their interactions were visualized by Cytoscape ( cytoscape.org ). EV proteins were grouped based on their main functionality and related proteins as indicated by a dashed line box. p -values (∗∗∗∗ < 0.0001).

    Article Snippet: The following primary antibodies were used: rabbit anti-CD81 (dilution 1:1000, 56039S), rabbit anti-hexokinase 1 (HK1) (1:500, 2024S), rabbit anti-hexokinase 2 (HK2) (1:500, 2887), rabbit anti-phosphofructokinase (PFKP) (1:500, 8164), rabbit anti-p-ERK (1:500, 9101), rabbit anti-ERK (1:500, 9102S), rabbit anti-cyclin B1 (1:500, 12,231), rabbit anti-p-cdc42 (Thr161) (1:500, 9114S), rabbit anti-p-cdc2 (Tyr15) (1:500, 4539), mouse anti-β-actin (1:1000, 3700S) purchased from Cell Signaling Technology; mouse anti-CD9 (1:1000, MAB2529), mouse anti-fibronectin (FN1) (1:500, MAB1918) purchased from R&D Systems; mouse anti-cytochrome c (CYCS) (1:1000, 556,433) purchased from BD; rabbit anti-syntenin-1 (1:1000, ab19903), mouse anti-TSG101 (1:1000, ab125011) purchased from Abcam; mouse anti-β-catenin (CTNNB1) (1:500, sc-7963), rabbit anti-cyclin D1 (1:500, sc-718), mouse anti-pyruvate kinase M1/2 (PKM) (1:500, sc-365684) purchased from Santa Cruz Biotechnology; and OXPHOS Human WB antibody Cocktail (mouse anti-ATP5A, -UQCRC2, -SDHB, -COX2, -NDUFB8) (1:500, 45-8199) purchased from Invitrogen.

    Techniques: Labeling, Fluorescence, Microscopy, Derivative Assay

    Prognostic value of LYZ and LILRB4 proteins in DLBCL receiving R-CHOP ( n = 37, 10X) and aNSCLC receiving ICIs ( n = 29, 2X and 10X). A Representative IHCs staining of LYZ in patient 1 (PFS = 1697 days) and patient 2 (PFS = 341 days), LILRB4 in patient 3 (PFS = 64 days) and patient 4 (PFS = 826 days). B Kaplan–Meier survival curves of PFS grouped by the LYZ and LILRB4 expression in DLBCL. C Representative mIF staining of LYZ, LILRB4, and pan Cytokeratin. D Kaplan–Meier survival curves of OS grouped by the LYZ and LILRB4 expression in aNSCLC. E Kaplan–Meier survival curves of PFS grouped by the COL3A1 expression and FN1 + macrophages in DLBCL. DLBCL: diffuse large B cell lymphoma; R-CHOP: rituximab, cyclophosphamide, doxorubicin: vincristine, and prednisone; aNSCLC: advanced non-small cell lung cancer; ICIs: immune checkpoint inhibitors; IHC: immunohistochemistry; PFS: progression-free survival; mIF: multiple immunofluorescence; and OS: overall survival

    Journal: Cancer Immunology, Immunotherapy : CII

    Article Title: Spatial transcriptomics reveals prognostically LYZ + fibroblasts and colocalization with FN1 + macrophages in diffuse large B-cell lymphoma

    doi: 10.1007/s00262-025-03968-7

    Figure Lengend Snippet: Prognostic value of LYZ and LILRB4 proteins in DLBCL receiving R-CHOP ( n = 37, 10X) and aNSCLC receiving ICIs ( n = 29, 2X and 10X). A Representative IHCs staining of LYZ in patient 1 (PFS = 1697 days) and patient 2 (PFS = 341 days), LILRB4 in patient 3 (PFS = 64 days) and patient 4 (PFS = 826 days). B Kaplan–Meier survival curves of PFS grouped by the LYZ and LILRB4 expression in DLBCL. C Representative mIF staining of LYZ, LILRB4, and pan Cytokeratin. D Kaplan–Meier survival curves of OS grouped by the LYZ and LILRB4 expression in aNSCLC. E Kaplan–Meier survival curves of PFS grouped by the COL3A1 expression and FN1 + macrophages in DLBCL. DLBCL: diffuse large B cell lymphoma; R-CHOP: rituximab, cyclophosphamide, doxorubicin: vincristine, and prednisone; aNSCLC: advanced non-small cell lung cancer; ICIs: immune checkpoint inhibitors; IHC: immunohistochemistry; PFS: progression-free survival; mIF: multiple immunofluorescence; and OS: overall survival

    Article Snippet: Rabbit anti-human FN1 IgG antibody , #26836S , Cell Signaling Technology.

    Techniques: Staining, Expressing, Immunohistochemistry, Immunofluorescence

    Prognostic significance of autoantibodies against COL1A2, COL3A1, and FN1 in patients with DLBCL receiving R-CHOP ( n = 20 and 125) and NSCLC treated with ICIs ( n = 36). A Volcano plot, boxplot, and representative density plots of patients illustrating the distribution of COL1A2 autoantibodies in DLBCL. B Kaplan–Meier curve for PFS based on COL1A2 autoantibody levels in DLBCL. C Kaplan–Meier curves for OS and PFS in NSCLC patients receiving immunotherapy, stratified by COL1A2 and COL3A1 mRNA levels in GSE128989 and autoantibody presence, alongside representative density plots of COL1A2 and COL3A1 autoantibodies. D Comparison of FN1 autoantibody levels between healthy controls and DLBCL, with Kaplan–Meier analysis for PFS based on FN1 autoantibody levels. DLBCL: diffuse large B cell lymphoma; R-CHOP: rituximab, cyclophosphamide, doxorubicin: vincristine, and prednisone; NSCLC: non-small cell lung cancer; ICIs: immune checkpoint inhibitor; OS: overall survival; and PFS: progression-free survival

    Journal: Cancer Immunology, Immunotherapy : CII

    Article Title: Spatial transcriptomics reveals prognostically LYZ + fibroblasts and colocalization with FN1 + macrophages in diffuse large B-cell lymphoma

    doi: 10.1007/s00262-025-03968-7

    Figure Lengend Snippet: Prognostic significance of autoantibodies against COL1A2, COL3A1, and FN1 in patients with DLBCL receiving R-CHOP ( n = 20 and 125) and NSCLC treated with ICIs ( n = 36). A Volcano plot, boxplot, and representative density plots of patients illustrating the distribution of COL1A2 autoantibodies in DLBCL. B Kaplan–Meier curve for PFS based on COL1A2 autoantibody levels in DLBCL. C Kaplan–Meier curves for OS and PFS in NSCLC patients receiving immunotherapy, stratified by COL1A2 and COL3A1 mRNA levels in GSE128989 and autoantibody presence, alongside representative density plots of COL1A2 and COL3A1 autoantibodies. D Comparison of FN1 autoantibody levels between healthy controls and DLBCL, with Kaplan–Meier analysis for PFS based on FN1 autoantibody levels. DLBCL: diffuse large B cell lymphoma; R-CHOP: rituximab, cyclophosphamide, doxorubicin: vincristine, and prednisone; NSCLC: non-small cell lung cancer; ICIs: immune checkpoint inhibitor; OS: overall survival; and PFS: progression-free survival

    Article Snippet: Rabbit anti-human FN1 IgG antibody , #26836S , Cell Signaling Technology.

    Techniques: Comparison

    Reagents and tools table

    Journal: Cancer Immunology, Immunotherapy : CII

    Article Title: Spatial transcriptomics reveals prognostically LYZ + fibroblasts and colocalization with FN1 + macrophages in diffuse large B-cell lymphoma

    doi: 10.1007/s00262-025-03968-7

    Figure Lengend Snippet: Reagents and tools table

    Article Snippet: Rabbit anti-human FN1 IgG antibody , #26836S , Cell Signaling Technology.

    Techniques: Formalin-fixed Paraffin-Embedded, Gene Expression, RNA Sequencing, Sequencing, Biomarker Discovery, Clinical Proteomics, Microarray, Control, Immunohistochemistry, Microscopy, Immunofluorescence, Software