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MedChemExpress pdgf-bb, human
Pdgf Bb, Human, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Continuous intraosseous administration of SCS prevents glucocorticoid-induced bone degeneration. ( A ) Schematic illustration of the glucocorticoid (GC; MPS)-induced bone deterioration and intraosseous SCS treatment. ( B-D ) Representative H&E staining images of the femur at 6 weeks (B). Magnified views of the cortical bone and trabecular bone in the marrow cavity are shown on the right. Solid arrows indicate normal osteocytes, while hollow arrows indicate empty osteocyte lacunae. Quantification of empty lacunae ratios in cortical bone (C) and trabecular bone (D). n = 6 biological replicates. (Scale bars, 500 μm and 25 μm) ( E-H ) Representative immunofluorescence staining of OPN + mature osteoblasts, osteolectin + osteoprogenitors, and VE-cadherin + endothelial cells (ECs) in femur at 6 weeks (E), and corresponding quantifications (F–H). n = 6 biological replicates. (Scale bars, 100 μm and 20 μm) ( I and J ) Representative flow cytometry plots of capillary subtypes in the femur (I), with quantification of CD45 − Ter119 − CD31 hi Emcn hi ECs (J). n = 6 biological replicates. ( K and L ) Flow cytometry plots showing Sca-1 hi CD31 hi arteriolar ECs (K), and corresponding quantification (L). n = 6 biological replicates. ( M and N ) Representative micro-CT 3D images of the femur (M). Quantitative analysis of percent bone volume (BV/TV) (N). n = 6 biological replicates. (Scale bars, 1.5 mm, 600 μm and 545 μm) ( O and P ) ELISA analysis of VEGF (O) <t>and</t> <t>PDGF-BB</t> (P) levels in bone marrow supernatant and peripheral serum from PBS- and SCS-treated groups at week 6. n = 6 biological replicates. ( Q ) ELISA quantification of the osteogenic factor osteocalcin in peripheral serum at week 6. n = 6 biological replicates. Data are presented as mean ± SD. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001; ns, not significant. Statistical significance was determined using one-way ANOVA with Tukey's post hoc test ( C, D, F, G, H, J, L, N, O, P and Q ).
Pdgf Bb, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and <t>PDGFRB</t> in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.
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MedChemExpress pdgf aa
TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and <t>PDGFRB</t> in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.
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TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and <t>PDGFRB</t> in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.
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TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and <t>PDGFRB</t> in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.
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TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and <t>PDGFRB</t> in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.
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TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and <t>PDGFRB</t> in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.
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TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and <t>PDGFRB</t> in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.
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Continuous intraosseous administration of SCS prevents glucocorticoid-induced bone degeneration. ( A ) Schematic illustration of the glucocorticoid (GC; MPS)-induced bone deterioration and intraosseous SCS treatment. ( B-D ) Representative H&E staining images of the femur at 6 weeks (B). Magnified views of the cortical bone and trabecular bone in the marrow cavity are shown on the right. Solid arrows indicate normal osteocytes, while hollow arrows indicate empty osteocyte lacunae. Quantification of empty lacunae ratios in cortical bone (C) and trabecular bone (D). n = 6 biological replicates. (Scale bars, 500 μm and 25 μm) ( E-H ) Representative immunofluorescence staining of OPN + mature osteoblasts, osteolectin + osteoprogenitors, and VE-cadherin + endothelial cells (ECs) in femur at 6 weeks (E), and corresponding quantifications (F–H). n = 6 biological replicates. (Scale bars, 100 μm and 20 μm) ( I and J ) Representative flow cytometry plots of capillary subtypes in the femur (I), with quantification of CD45 − Ter119 − CD31 hi Emcn hi ECs (J). n = 6 biological replicates. ( K and L ) Flow cytometry plots showing Sca-1 hi CD31 hi arteriolar ECs (K), and corresponding quantification (L). n = 6 biological replicates. ( M and N ) Representative micro-CT 3D images of the femur (M). Quantitative analysis of percent bone volume (BV/TV) (N). n = 6 biological replicates. (Scale bars, 1.5 mm, 600 μm and 545 μm) ( O and P ) ELISA analysis of VEGF (O) and PDGF-BB (P) levels in bone marrow supernatant and peripheral serum from PBS- and SCS-treated groups at week 6. n = 6 biological replicates. ( Q ) ELISA quantification of the osteogenic factor osteocalcin in peripheral serum at week 6. n = 6 biological replicates. Data are presented as mean ± SD. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001; ns, not significant. Statistical significance was determined using one-way ANOVA with Tukey's post hoc test ( C, D, F, G, H, J, L, N, O, P and Q ).

Journal: Bioactive Materials

Article Title: Sulfated polysaccharide prevents senescent adipocyte-driven osteonecrosis by stem cell fate reprogramming

doi: 10.1016/j.bioactmat.2025.11.039

Figure Lengend Snippet: Continuous intraosseous administration of SCS prevents glucocorticoid-induced bone degeneration. ( A ) Schematic illustration of the glucocorticoid (GC; MPS)-induced bone deterioration and intraosseous SCS treatment. ( B-D ) Representative H&E staining images of the femur at 6 weeks (B). Magnified views of the cortical bone and trabecular bone in the marrow cavity are shown on the right. Solid arrows indicate normal osteocytes, while hollow arrows indicate empty osteocyte lacunae. Quantification of empty lacunae ratios in cortical bone (C) and trabecular bone (D). n = 6 biological replicates. (Scale bars, 500 μm and 25 μm) ( E-H ) Representative immunofluorescence staining of OPN + mature osteoblasts, osteolectin + osteoprogenitors, and VE-cadherin + endothelial cells (ECs) in femur at 6 weeks (E), and corresponding quantifications (F–H). n = 6 biological replicates. (Scale bars, 100 μm and 20 μm) ( I and J ) Representative flow cytometry plots of capillary subtypes in the femur (I), with quantification of CD45 − Ter119 − CD31 hi Emcn hi ECs (J). n = 6 biological replicates. ( K and L ) Flow cytometry plots showing Sca-1 hi CD31 hi arteriolar ECs (K), and corresponding quantification (L). n = 6 biological replicates. ( M and N ) Representative micro-CT 3D images of the femur (M). Quantitative analysis of percent bone volume (BV/TV) (N). n = 6 biological replicates. (Scale bars, 1.5 mm, 600 μm and 545 μm) ( O and P ) ELISA analysis of VEGF (O) and PDGF-BB (P) levels in bone marrow supernatant and peripheral serum from PBS- and SCS-treated groups at week 6. n = 6 biological replicates. ( Q ) ELISA quantification of the osteogenic factor osteocalcin in peripheral serum at week 6. n = 6 biological replicates. Data are presented as mean ± SD. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001; ns, not significant. Statistical significance was determined using one-way ANOVA with Tukey's post hoc test ( C, D, F, G, H, J, L, N, O, P and Q ).

Article Snippet: Levels of angiogenesis-associated factors, including VEGF (Neobioscience, EMC103.96) and PDGF-BB (R&D Systems, MBB00), were quantified in both bone marrow supernatants and serum using ELISA kits according to the manufacturer's instructions.

Techniques: Staining, Immunofluorescence, Flow Cytometry, Micro-CT, Enzyme-linked Immunosorbent Assay

SCS targets downstream senescent lineage commitment of bone marrow MSCs to mitigate GC-induced bone deterioration. ( A ) Schematic diagram illustrating the experimental design: CD45 − Ter119 − CD31 − LepR + MSCs isolated from mice co-treated with SCS and MPS for 7 days were subjected to in vitro lineage-competitive differentiation, followed by DEX-induced senescence in lineage-mixed cells. These cells were then adoptively transplanted into healthy bone marrow cavity to assess bone deterioration development. ( B ) Representative H&E-stained images of the femur 12 weeks after adoptive transfer. PBS-DEX group: LepR + MSCs from PBS and MPS co-treated mice subjected to in vitro lineage differentiation and DEX-induced senescence, followed by transplantation. SCS-DEX group: LepR + MSCs from SCS and MPS co-treated mice processed similarly. PBS group: solvent control without cell transplantation. Solid arrows indicate intact osteocytes; hollow arrows indicate empty lacunae. (Scale bars, 250 μm and 25 μm) ( C – E ) Quantitative analysis of marrow hypertrophic adipocyte diameter (C), proportion of empty osteocyte lacunae in trabecular bone (D), and adipocyte number (E) in the metaphysis 12 weeks post-transplantation. n = 19 biological replicates (C), n = 6 biological replicates (D), n = 8 biological replicates (E). ( F ) Quantification of empty lacunae in epiphysis at 12 weeks post-transplantation. n = 6 biological replicates. ( G – I ) Representative flow cytometry plots of capillary ECs subtypes in the femur at 12 weeks (G), with quantification of CD45 − Ter119 − CD31 hi Emcn hi ECs (H) and CD45 − Ter119 − CD31 lo Emcn lo ECs (I). n = 6 biological replicates. ( J and K ) Representative flow cytometry plots (J) and corresponding quantification (K) of CD45 − Ter119 − Sca-1 hi CD31 hi arteriolar ECs in the femur at 12 weeks post-transplantation. n = 6 biological replicates. ( L ) Representative micro-CT images of the femur at 12 weeks post-transplantation across different treatment groups. (Scale bars, 1.5 mm and 500 μm) ( M – P ) Quantitative analysis of bone parameters in the metaphysis: bone mineral density (BMD) (M), percent bone volume (BV/TV) (N), trabecular separation (Tb.Sp) (O), and trabecular number (Tb.N) (P). n = 6 biological replicates. ( Q ) Serum ELISA analysis of the osteogenic marker osteocalcin at 12 weeks post-transplantation. n = 6 biological replicates. ( R and S ) ELISA analysis of PDGF-BB (R) and VEGF (S) in both bone marrow supernatant and peripheral serum at 12 weeks post-transplantation. n = 6 biological replicates. Data are presented as mean ± SD. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001; ns, not significant. Statistical significance was determined using one-way ANOVA with Tukey's post hoc test ( C, D, E, F, H, I, K, M, N, O, P, Q, R and S ).

Journal: Bioactive Materials

Article Title: Sulfated polysaccharide prevents senescent adipocyte-driven osteonecrosis by stem cell fate reprogramming

doi: 10.1016/j.bioactmat.2025.11.039

Figure Lengend Snippet: SCS targets downstream senescent lineage commitment of bone marrow MSCs to mitigate GC-induced bone deterioration. ( A ) Schematic diagram illustrating the experimental design: CD45 − Ter119 − CD31 − LepR + MSCs isolated from mice co-treated with SCS and MPS for 7 days were subjected to in vitro lineage-competitive differentiation, followed by DEX-induced senescence in lineage-mixed cells. These cells were then adoptively transplanted into healthy bone marrow cavity to assess bone deterioration development. ( B ) Representative H&E-stained images of the femur 12 weeks after adoptive transfer. PBS-DEX group: LepR + MSCs from PBS and MPS co-treated mice subjected to in vitro lineage differentiation and DEX-induced senescence, followed by transplantation. SCS-DEX group: LepR + MSCs from SCS and MPS co-treated mice processed similarly. PBS group: solvent control without cell transplantation. Solid arrows indicate intact osteocytes; hollow arrows indicate empty lacunae. (Scale bars, 250 μm and 25 μm) ( C – E ) Quantitative analysis of marrow hypertrophic adipocyte diameter (C), proportion of empty osteocyte lacunae in trabecular bone (D), and adipocyte number (E) in the metaphysis 12 weeks post-transplantation. n = 19 biological replicates (C), n = 6 biological replicates (D), n = 8 biological replicates (E). ( F ) Quantification of empty lacunae in epiphysis at 12 weeks post-transplantation. n = 6 biological replicates. ( G – I ) Representative flow cytometry plots of capillary ECs subtypes in the femur at 12 weeks (G), with quantification of CD45 − Ter119 − CD31 hi Emcn hi ECs (H) and CD45 − Ter119 − CD31 lo Emcn lo ECs (I). n = 6 biological replicates. ( J and K ) Representative flow cytometry plots (J) and corresponding quantification (K) of CD45 − Ter119 − Sca-1 hi CD31 hi arteriolar ECs in the femur at 12 weeks post-transplantation. n = 6 biological replicates. ( L ) Representative micro-CT images of the femur at 12 weeks post-transplantation across different treatment groups. (Scale bars, 1.5 mm and 500 μm) ( M – P ) Quantitative analysis of bone parameters in the metaphysis: bone mineral density (BMD) (M), percent bone volume (BV/TV) (N), trabecular separation (Tb.Sp) (O), and trabecular number (Tb.N) (P). n = 6 biological replicates. ( Q ) Serum ELISA analysis of the osteogenic marker osteocalcin at 12 weeks post-transplantation. n = 6 biological replicates. ( R and S ) ELISA analysis of PDGF-BB (R) and VEGF (S) in both bone marrow supernatant and peripheral serum at 12 weeks post-transplantation. n = 6 biological replicates. Data are presented as mean ± SD. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001; ns, not significant. Statistical significance was determined using one-way ANOVA with Tukey's post hoc test ( C, D, E, F, H, I, K, M, N, O, P, Q, R and S ).

Article Snippet: Levels of angiogenesis-associated factors, including VEGF (Neobioscience, EMC103.96) and PDGF-BB (R&D Systems, MBB00), were quantified in both bone marrow supernatants and serum using ELISA kits according to the manufacturer's instructions.

Techniques: Isolation, In Vitro, Staining, Adoptive Transfer Assay, Transplantation Assay, Solvent, Control, Flow Cytometry, Micro-CT, Enzyme-linked Immunosorbent Assay, Marker

TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and PDGFRB in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.

Journal: Cancer Research

Article Title: Discovery and Evaluation of Biomarkers for Triple-Negative Breast Cancer Subtypes Uncovers Patient Stratification and Targeted Therapeutic Strategies

doi: 10.1158/0008-5472.CAN-24-2758

Figure Lengend Snippet: TAGL as a predictive marker for dasatinib sensitivity. A, Western blot of control and TAGLN -KO cells in Hs578T (top) and BT-549 (bottom) cells. B, Representative immunofluorescence of Hs578T and BT549 control and TAGLN -KO cells, stained with αTAGL (green) and DAPI (blue). Scale bar, 50 μm. C, Cell proliferation in control (black) and TAGLN -KO (purple) cells measured by MTT assays over 72 hours. D, Relative percentage of migrated cells in control and TAGLN -KO cells, assessed by transwell assays. In C and D , values represent the mean ± SEM of at least three experimental replicates, and statistical significance was determined using one-way ANOVA. E, Drug–response curves for cell viability of control and TAGLN -KO cells treated with dasatinib at increasing concentrations. F, Western blot of known dasatinib targets in control and TAGLN -KO cells. G, Data from the DepMap portal showing the correlation between TAGLN and PDGFRB in breast cancer cell lines. H, Western blot of PDGFRβ in TAGLN -KO and cells and clones constitutively expressing PDGFRB . I, Drug–response curves for cell viability of TAGLN -KO and TAGLN -KO/ PBGFRB cells treated with dasatinib at increasing concentrations. In E and I , solid lines represent the mean of three biological replicates performed in technical replicates. The dashed line indicates their IC 50 value. **, P < 0.01; ****, P < 0.0001; ns, not significant.

Article Snippet: For PDGFRB overexpression, lentiviral particles were generated using the PDGFRB Human Tagged Lenti ORF Clone (RC206377L4, OriGene) plasmid and used to transduce target cells.

Techniques: Marker, Western Blot, Control, Immunofluorescence, Staining, Clone Assay, Expressing