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anti human itgav  (R&D Systems)


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    Structured Review

    R&D Systems anti human itgav
    Anti Human Itgav, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/anti human itgav/product/R&D Systems
    Average 93 stars, based on 1 article reviews
    anti human itgav - by Bioz Stars, 2026-04
    93/100 stars

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    Miltenyi Biotec cd51
    Gene expression and protein exposure of cell surface proteins in MCF7 upon stimulation with TGFβ. (A) Heatmap representing normalized gene expression of different genes ( Y ‐axis) in different samples treated or not treated with TGFβ at the different cell densities ( X ‐axis). Normalization was performed by fixing the first replicate of non‐treated cells (NT) at 20 000 cells per cm 2 to 100%. Statistical significance between NT and cells treated with TGFβ inside each plating density condition was considered. Yellow boxes highlight the genes emerged as significantly different between treated and non‐treated cells. (B) Bars representing relative gene expression of ITGAV <t>(Integrin‐αν/CD51)</t> and LGALS3 n = 3 replicates. Δ C t were calculated using GAPDH as housekeeping. (C) Bars representing the mean fluorescence intensity (MFI) of CD51 and Galectin‐3 exposure on MCF7 cells plated at 20 000 and 60 000 cells per cm 2 . n = 3 replicates. (D) Bars representing the % of MCF7 positive to both CD51 and Galectin‐3 (CD51 + /Galectin‐3 + ) of cells plated at 20 000 and 60 000 cells per cm 2 . n = 3 replicates. (E) Representative flow cytometry histograms of CD51 + and Galectin‐3 + with (Blue) and without (Green) TGFβ treatment at 20 000 cells per cm 2 . n = 3 replicates. (F) Representative flow cytometry counter plot of CD51 + and Galectin‐3 + with (Blue) and without (Green) TGFβ treatment in cells plated at 20 000 cells per cm 2 . n = 3 replicates. Data are expressed as mean ± SD. Significance of data differences was established using unpaired two‐way ANOVA test with multiple comparisons, * P < 0.05, ** P < 0.01 and *** P < 0.001.
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    Cell Signaling Technology Inc cd51
    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
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    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
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    Millipore anti- human cd51/61- af488 (clone lm609)
    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
    Anti Human Cd51/61 Af488 (Clone Lm609), supplied by Millipore, 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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    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
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    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
    Anti Cd51 61 Antibody, supplied by Santa Cruz Biotechnology, 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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    Santa Cruz Biotechnology cd51 61 antibody
    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
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    Thermo Fisher cd51/cd61 monoclonal antibody
    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
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    ( A ) Immunostaining of <t>CD51,</t> CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.
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    Image Search Results


    Gene expression and protein exposure of cell surface proteins in MCF7 upon stimulation with TGFβ. (A) Heatmap representing normalized gene expression of different genes ( Y ‐axis) in different samples treated or not treated with TGFβ at the different cell densities ( X ‐axis). Normalization was performed by fixing the first replicate of non‐treated cells (NT) at 20 000 cells per cm 2 to 100%. Statistical significance between NT and cells treated with TGFβ inside each plating density condition was considered. Yellow boxes highlight the genes emerged as significantly different between treated and non‐treated cells. (B) Bars representing relative gene expression of ITGAV (Integrin‐αν/CD51) and LGALS3 n = 3 replicates. Δ C t were calculated using GAPDH as housekeeping. (C) Bars representing the mean fluorescence intensity (MFI) of CD51 and Galectin‐3 exposure on MCF7 cells plated at 20 000 and 60 000 cells per cm 2 . n = 3 replicates. (D) Bars representing the % of MCF7 positive to both CD51 and Galectin‐3 (CD51 + /Galectin‐3 + ) of cells plated at 20 000 and 60 000 cells per cm 2 . n = 3 replicates. (E) Representative flow cytometry histograms of CD51 + and Galectin‐3 + with (Blue) and without (Green) TGFβ treatment at 20 000 cells per cm 2 . n = 3 replicates. (F) Representative flow cytometry counter plot of CD51 + and Galectin‐3 + with (Blue) and without (Green) TGFβ treatment in cells plated at 20 000 cells per cm 2 . n = 3 replicates. Data are expressed as mean ± SD. Significance of data differences was established using unpaired two‐way ANOVA test with multiple comparisons, * P < 0.05, ** P < 0.01 and *** P < 0.001.

    Journal: The Febs Journal

    Article Title: TGFβ enhances platelet–breast‐cancer‐cell interaction and promotes platelet aggregation

    doi: 10.1111/febs.70279

    Figure Lengend Snippet: Gene expression and protein exposure of cell surface proteins in MCF7 upon stimulation with TGFβ. (A) Heatmap representing normalized gene expression of different genes ( Y ‐axis) in different samples treated or not treated with TGFβ at the different cell densities ( X ‐axis). Normalization was performed by fixing the first replicate of non‐treated cells (NT) at 20 000 cells per cm 2 to 100%. Statistical significance between NT and cells treated with TGFβ inside each plating density condition was considered. Yellow boxes highlight the genes emerged as significantly different between treated and non‐treated cells. (B) Bars representing relative gene expression of ITGAV (Integrin‐αν/CD51) and LGALS3 n = 3 replicates. Δ C t were calculated using GAPDH as housekeeping. (C) Bars representing the mean fluorescence intensity (MFI) of CD51 and Galectin‐3 exposure on MCF7 cells plated at 20 000 and 60 000 cells per cm 2 . n = 3 replicates. (D) Bars representing the % of MCF7 positive to both CD51 and Galectin‐3 (CD51 + /Galectin‐3 + ) of cells plated at 20 000 and 60 000 cells per cm 2 . n = 3 replicates. (E) Representative flow cytometry histograms of CD51 + and Galectin‐3 + with (Blue) and without (Green) TGFβ treatment at 20 000 cells per cm 2 . n = 3 replicates. (F) Representative flow cytometry counter plot of CD51 + and Galectin‐3 + with (Blue) and without (Green) TGFβ treatment in cells plated at 20 000 cells per cm 2 . n = 3 replicates. Data are expressed as mean ± SD. Significance of data differences was established using unpaired two‐way ANOVA test with multiple comparisons, * P < 0.05, ** P < 0.01 and *** P < 0.001.

    Article Snippet: For each experimental condition, 0.2 × 10 6 cells were labeled with 1 : 50 CD51 (CD51 Antibody, anti‐human, REAfinity, Miltenyi Biotec, Bergisch Gladbach, Germany) and Galectin‐3 (Galectin‐3 Antibody, anti‐human/mouse, REAfinity, Miltenyi Biotec) for 20 min at room temperature in the dark.

    Techniques: Gene Expression, Fluorescence, Flow Cytometry

    Inhibition of Integrin‐aν/CD51, but not of Galectin‐3, reversed the increase in PLT‐MCF7 interaction promoted by TGFβ. (A) Schematic representation of PLT‐MCF7 interaction mediated by Integrin‐αν/CD51 and Galectin‐3 and their inhibition through Cilengitide, GB1107 and GLPG0187. Experiments were performed with cells plated at low density, 20 000 cells per cm 2 , before TGFβ treatment. (B) Schematic representation of the experimental design of PLT‐MCF7 interaction in suspension with Integrin‐αν and Galectin‐3 inhibitors, assayed with flow cytometry. (C) Bars of cell viability for MCF7‐PLT interaction treated with different inhibitors, expressed as % of cells negative to Propidium Iodide (PI − ). n = 3 replicates. (D) Bars of MCF7‐PLT interaction expressed as % of cells positive to CFSE fluorescence (CFSE+) for non‐treated NT and TGFβ−treated (TGFβ+): Cilengitide (purple), GB1107 (ochre) or GLPG0187 (gray). n = 3 replicates. Data are expressed as mean ± SD. Significance of data differences was established using unpaired two‐way ANOVA test with multiple comparisons, * P < 0.05.

    Journal: The Febs Journal

    Article Title: TGFβ enhances platelet–breast‐cancer‐cell interaction and promotes platelet aggregation

    doi: 10.1111/febs.70279

    Figure Lengend Snippet: Inhibition of Integrin‐aν/CD51, but not of Galectin‐3, reversed the increase in PLT‐MCF7 interaction promoted by TGFβ. (A) Schematic representation of PLT‐MCF7 interaction mediated by Integrin‐αν/CD51 and Galectin‐3 and their inhibition through Cilengitide, GB1107 and GLPG0187. Experiments were performed with cells plated at low density, 20 000 cells per cm 2 , before TGFβ treatment. (B) Schematic representation of the experimental design of PLT‐MCF7 interaction in suspension with Integrin‐αν and Galectin‐3 inhibitors, assayed with flow cytometry. (C) Bars of cell viability for MCF7‐PLT interaction treated with different inhibitors, expressed as % of cells negative to Propidium Iodide (PI − ). n = 3 replicates. (D) Bars of MCF7‐PLT interaction expressed as % of cells positive to CFSE fluorescence (CFSE+) for non‐treated NT and TGFβ−treated (TGFβ+): Cilengitide (purple), GB1107 (ochre) or GLPG0187 (gray). n = 3 replicates. Data are expressed as mean ± SD. Significance of data differences was established using unpaired two‐way ANOVA test with multiple comparisons, * P < 0.05.

    Article Snippet: For each experimental condition, 0.2 × 10 6 cells were labeled with 1 : 50 CD51 (CD51 Antibody, anti‐human, REAfinity, Miltenyi Biotec, Bergisch Gladbach, Germany) and Galectin‐3 (Galectin‐3 Antibody, anti‐human/mouse, REAfinity, Miltenyi Biotec) for 20 min at room temperature in the dark.

    Techniques: Inhibition, Suspension, Flow Cytometry, Fluorescence

    Inhibitors of Integrin‐α ν /CD51 and Galectin‐3 counteracted the effect of TGFβ pre‐treatment on MCF7‐induced PLT aggregation. (A) Schematic representation of the experimental design of aggregation assay of PLT with Integrin‐αν/CD51 and Galectin‐3 inhibitors. Experiments were performed with cells plated at low density, 20 000 cells per cm 2 , before TGFβ treatment. (B) Aggregation of PLT only (activate or not with Thrombin) or PLT activated with Thrombin and treated with Cilengitide, GB1107, Cilengitide+GB1107 and GLPG0187 activated with Thrombin. Values are expressed as % of the transmitted light over time and each point is the mean of n = 3 replicates. (C) Schematic representation of the experimental design of aggregation assay upon PLT‐MCF7 interaction in suspension with Integrin‐αν/CD51 and Galectin‐3 inhibitors. (D) Aggregation of PLT after incubation with MCF7 non‐treated NT/treated with TGFβ (blue/green) and of TGFβ + inhibitors. NT condition without thrombin (black) is also represented as negative control. Values are expressed as % of the transmitted light over time and each point is the mean of n = 3 replicates. (D) Maximum aggregation at 30 min for the conditions tested in C. n = 3 replicates. (E) Bars of Maximum aggregation at 30 min for NT and TGFβ conditions and for the TGFβ condition in presence of the different inhibitors. n ≥ =3 replicates. Data are expressed as mean ± SD. Significance of data differences was established using unpaired two‐way ANOVA test with multiple comparisons, * P < 0.05, ** P < 0.01.

    Journal: The Febs Journal

    Article Title: TGFβ enhances platelet–breast‐cancer‐cell interaction and promotes platelet aggregation

    doi: 10.1111/febs.70279

    Figure Lengend Snippet: Inhibitors of Integrin‐α ν /CD51 and Galectin‐3 counteracted the effect of TGFβ pre‐treatment on MCF7‐induced PLT aggregation. (A) Schematic representation of the experimental design of aggregation assay of PLT with Integrin‐αν/CD51 and Galectin‐3 inhibitors. Experiments were performed with cells plated at low density, 20 000 cells per cm 2 , before TGFβ treatment. (B) Aggregation of PLT only (activate or not with Thrombin) or PLT activated with Thrombin and treated with Cilengitide, GB1107, Cilengitide+GB1107 and GLPG0187 activated with Thrombin. Values are expressed as % of the transmitted light over time and each point is the mean of n = 3 replicates. (C) Schematic representation of the experimental design of aggregation assay upon PLT‐MCF7 interaction in suspension with Integrin‐αν/CD51 and Galectin‐3 inhibitors. (D) Aggregation of PLT after incubation with MCF7 non‐treated NT/treated with TGFβ (blue/green) and of TGFβ + inhibitors. NT condition without thrombin (black) is also represented as negative control. Values are expressed as % of the transmitted light over time and each point is the mean of n = 3 replicates. (D) Maximum aggregation at 30 min for the conditions tested in C. n = 3 replicates. (E) Bars of Maximum aggregation at 30 min for NT and TGFβ conditions and for the TGFβ condition in presence of the different inhibitors. n ≥ =3 replicates. Data are expressed as mean ± SD. Significance of data differences was established using unpaired two‐way ANOVA test with multiple comparisons, * P < 0.05, ** P < 0.01.

    Article Snippet: For each experimental condition, 0.2 × 10 6 cells were labeled with 1 : 50 CD51 (CD51 Antibody, anti‐human, REAfinity, Miltenyi Biotec, Bergisch Gladbach, Germany) and Galectin‐3 (Galectin‐3 Antibody, anti‐human/mouse, REAfinity, Miltenyi Biotec) for 20 min at room temperature in the dark.

    Techniques: Suspension, Incubation, Negative Control

    ( A ) Immunostaining of CD51, CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.

    Journal: bioRxiv

    Article Title: Identification of Human Pluripotent Stem Cell Derived Astrocytic Progenitors that Correlate with Glioblastoma Subtypes

    doi: 10.1101/2025.08.26.672421

    Figure Lengend Snippet: ( A ) Immunostaining of CD51, CD63 and CD71 in LBF treated cells at 160 DIV ( n =3). ( B ) Quantification of the percentage of LBF stage cells with CD51, CD63, and CD71 immunostaining and different combinations of co-expression ( n =3). ( C ) Immunostaining of CD51, CD63 and GFAP in LBF treated cells ( n =3). ( D ) Quantification of the percentage of LBF stage cells with CD51, CD63 and GFAP immunostaining and different combination of co-expression ( n =3). ( E ) Histogram of flow cytometry gating strategy for sorting CD51, CD71, and CD63 expressing or co-expressing cells after LBF treatment. ( F ) Proportion of FACS-isolated cells with each possible combination of CD51, CD71, and CD63 co-expression ( n =6). ( G ) Labeling of the four predominant populations identified based on CD51, CD71, and CD63 expression. Population 1 (CD51+CD71+CD63+, green), population 2 (CD51+CD71-CD63-, red), population 3 (CD51+CD71+CD63-, purple), and population 4 (CD51+CD71-CD63+, blue) account for 70% of FACS-isolated cells. ( H ) Principal component analysis (PCA) plot illustrating the overall sample distribution based on transcriptomic profiles of populations 1-4 cells used for RNA-seq. ( I ) Table depicting the number of differentially expressed genes from pairwise and 3 versus 1 comparison analyses based on greater than 1.5-fold difference and false discovery rate of 0.05. ( J ) Heatmap representation of relative expression of fetal and mature astrocyte enriched genes in each population. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Scale bar, 50µm.

    Article Snippet: Primary antibodies used in this study are as follow: Acsbg1 (Abcam #ab65154, IHC at 1:100), CD51 (Biolegend #327910, FACS at 1:500), CD51 (Cell Signaling Technology #13208 1CC at 1:1000), CD63 (Millipore Sigma #C7930, FACS and ICC at 1:500), CD71 (Biolegend #334208, FACS and ICC at 1:1000), Doublcortin (Novus Bio.

    Techniques: Immunostaining, Expressing, Flow Cytometry, Isolation, Labeling, RNA Sequencing, Comparison

    ( A ) Heatmap representation of relative expression of GBM subtype-enriched genes in FACS isolated populations 1-4 cells GBM subtype enriched gene list obtained from . ( B ) Pathway analyses of differentially expressed genes identified in populations 1 and 2 highlighted enrichment in TGF-β signaling in population 1 and Notch signaling in population 2. ( C ) Expression of select TGF-β pathway members and associated genes in population 1-4 cells as detected in the RNA-seq analysis (n=3)( D ) Expression of mesenchymal GBM subtype signature genes and proneual GBM subtype signature genes as detected in the RNA-seq of surface marker identified cell populations. ( E ) UMAP feature plot of CD51, CD63, and CD71 expressing cells illustrating the distribution of cells expressing each surface maker. ( F ) Distribution of CD51+CD63+CD71+ population 1 cells and CD51+CD63-CD71-population 2 cells in the UMAP plot illustrating enrichment in of triple positive cells in cluster Ast.3. ( G, H ) Heatmap of population 1 enriched genes ( G ) and population 2 enriched genes ( H ) among the 10 cell clusters identified in the scRNA-seq. One-way ANOVA *p<0.05, **p<0.01, ***p<0.001 followed by Tukey’s post-hoc test.

    Journal: bioRxiv

    Article Title: Identification of Human Pluripotent Stem Cell Derived Astrocytic Progenitors that Correlate with Glioblastoma Subtypes

    doi: 10.1101/2025.08.26.672421

    Figure Lengend Snippet: ( A ) Heatmap representation of relative expression of GBM subtype-enriched genes in FACS isolated populations 1-4 cells GBM subtype enriched gene list obtained from . ( B ) Pathway analyses of differentially expressed genes identified in populations 1 and 2 highlighted enrichment in TGF-β signaling in population 1 and Notch signaling in population 2. ( C ) Expression of select TGF-β pathway members and associated genes in population 1-4 cells as detected in the RNA-seq analysis (n=3)( D ) Expression of mesenchymal GBM subtype signature genes and proneual GBM subtype signature genes as detected in the RNA-seq of surface marker identified cell populations. ( E ) UMAP feature plot of CD51, CD63, and CD71 expressing cells illustrating the distribution of cells expressing each surface maker. ( F ) Distribution of CD51+CD63+CD71+ population 1 cells and CD51+CD63-CD71-population 2 cells in the UMAP plot illustrating enrichment in of triple positive cells in cluster Ast.3. ( G, H ) Heatmap of population 1 enriched genes ( G ) and population 2 enriched genes ( H ) among the 10 cell clusters identified in the scRNA-seq. One-way ANOVA *p<0.05, **p<0.01, ***p<0.001 followed by Tukey’s post-hoc test.

    Article Snippet: Primary antibodies used in this study are as follow: Acsbg1 (Abcam #ab65154, IHC at 1:100), CD51 (Biolegend #327910, FACS at 1:500), CD51 (Cell Signaling Technology #13208 1CC at 1:1000), CD63 (Millipore Sigma #C7930, FACS and ICC at 1:500), CD71 (Biolegend #334208, FACS and ICC at 1:1000), Doublcortin (Novus Bio.

    Techniques: Expressing, Isolation, RNA Sequencing, Marker

    ( A ) Schematic of sequential FACS experimental setup and subsequent assays performed on the cell populations isolated based on CD51, CD63, and CD71. ( B ) Phase-contrast images of populations 1 and 2 cells at 1, 3, and 7 days in vitro (DIV) after sorting. ( C ) Quantification of the percentage of cell in populations 1 to 4 after sorted populations 1 and 2 were subsequently FACS isolated on day 3 and 7 ( n =3). ( D, E ) Immunostaining representative images ( D ) and quantifications ( E ) of Nestin, GFAP, Ki67 and DCX-expressing cells in population 1 and population 2 at 1 DIV after FACS. ( F ) Immunostaining representative images and quantifications of cells expressing lineage markers GFAP, Ki67, and DCX after re-sorting populations 1 and 2 cells by FACS after 3 DIV and 7 DIV. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Data are represented as means ± s.e.m. Scale bar, 50µm.

    Journal: bioRxiv

    Article Title: Identification of Human Pluripotent Stem Cell Derived Astrocytic Progenitors that Correlate with Glioblastoma Subtypes

    doi: 10.1101/2025.08.26.672421

    Figure Lengend Snippet: ( A ) Schematic of sequential FACS experimental setup and subsequent assays performed on the cell populations isolated based on CD51, CD63, and CD71. ( B ) Phase-contrast images of populations 1 and 2 cells at 1, 3, and 7 days in vitro (DIV) after sorting. ( C ) Quantification of the percentage of cell in populations 1 to 4 after sorted populations 1 and 2 were subsequently FACS isolated on day 3 and 7 ( n =3). ( D, E ) Immunostaining representative images ( D ) and quantifications ( E ) of Nestin, GFAP, Ki67 and DCX-expressing cells in population 1 and population 2 at 1 DIV after FACS. ( F ) Immunostaining representative images and quantifications of cells expressing lineage markers GFAP, Ki67, and DCX after re-sorting populations 1 and 2 cells by FACS after 3 DIV and 7 DIV. n represents the number of independent differentiation experiments from one ESC line and two iPSC lines. Data are represented as means ± s.e.m. Scale bar, 50µm.

    Article Snippet: Primary antibodies used in this study are as follow: Acsbg1 (Abcam #ab65154, IHC at 1:100), CD51 (Biolegend #327910, FACS at 1:500), CD51 (Cell Signaling Technology #13208 1CC at 1:1000), CD63 (Millipore Sigma #C7930, FACS and ICC at 1:500), CD71 (Biolegend #334208, FACS and ICC at 1:1000), Doublcortin (Novus Bio.

    Techniques: Isolation, In Vitro, Immunostaining, Expressing