recombinant human tgfb3 (MedChemExpress)
Structured Review

Recombinant Human Tgfb3, 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
https://www.bioz.com/product/recombinant+human+tgf/Animal-Free+TGF+beta+3%2FTGFB3%2C+Human/pmc13381258-176-7-21
Average 94 stars, based on 1 article reviews
Images
1) Product Images from "From proteome-wide Mendelian randomization and multi-omics integration to functional validation: TGFB3 as a prioritized candidate in gastric adenocarcinoma"
Article Title: From proteome-wide Mendelian randomization and multi-omics integration to functional validation: TGFB3 as a prioritized candidate in gastric adenocarcinoma
Journal: Frontiers in Oncology
doi: 10.3389/fonc.2026.1883227
Figure Legend Snippet: (A) Schematic of the multilayer perceptron with eight input nodes (BMP4, CD248, GRP, LGR4, MGP, TGFB3, ERBB3, ETS2), a five-node hidden layer and a two-node output layer encoding Control (normal) and Treatment (GC). (B) Receiver operating characteristic (ROC) curve and area under the curve (AUC) in the training cohort (TCGA-STAD). (C) ROC curve and AUC in the independent validation cohort ( GSE54129 ).
Techniques Used: Control, Biomarker Discovery
Figure Legend Snippet: Kaplan–Meier analysis of OS in gastric cancer patients stratified by mRNA expression of network-prioritized genes: (A) BMP4, (B) CD248, (C) GRP, (D) LGR4, (E) MGP, (F) TGFB3, (G) ERBB3 and (H) ETS2.
Techniques Used: Expressing
Figure Legend Snippet: Multiplex immunofluorescence validation of hub gene expression in the gastric cancer tumor microenvironment. (A) Representative staining of BMP4 (red) and Pan-CK (green) in gastric cancer showing predominant localization of BMP4 to Pan-CK + tumor epithelial nests. (B) CD248 (red) colocalizes with FAP + cancer-associated fibroblasts (CAF; green) within the stromal compartment. (C) TGFB3 (red) is enriched in the FAP + CAF-rich stroma. (D) LGR4 (red) is detected both in FAP + CAFs (green) and in Pan-CK + tumor epithelial cells (yellow). (E) MGP (red) is present in CD31 + endothelial structures (yellow) and in FAP + CAF-rich stromal regions (green). Nuclei are counterstained with DAPI (blue). Left panels show merged images; right panels display the corresponding single-channel views. Scale bars, 100 μm. Integrating the proteome-wide MR screen with PPI topology, survival analysis, and compartment-resolved expression patterns, we prioritized ERBB3, LGR4, BMP4, CD248, MGP, TGFB3, GRP, and ETS2 as network-prioritized candidates for downstream contextualization. Among them, TGFB3 was selected for focused computational and cellular characterization on the basis of several convergent prioritization features, including its nominal MR association, network-topology ranking, association with overall survival, fibroblast-enriched expression pattern, and spatial organization in gastric cancer tissues. These observations provided a rationale for additional investigation. Accordingly, subsequent virtual screening, molecular docking, molecular dynamics simulation, and recombinant-TGFB3 perturbation experiments were performed as exploratory analyses to evaluate structural plausibility and cellular responses associated with TGFB3 exposure.
Techniques Used: Multiplex Assay, Immunofluorescence, Biomarker Discovery, Gene Expression, Staining, Expressing, Recombinant
Figure Legend Snippet: Molecular docking of TGFB3 with candidate ligands. The left panel in each subfigure depicts the three-dimensional ligand orientation within the TGFB3 binding pocket; the right panel presents a two-dimensional interaction diagram, highlighting hydrogen bonds and hydrophobic contacts. (A) Docking pose of TGFB3 with proflavine hemisulfate. (B) Docking pose of TGFB3 with hydroxychloroquine sulfate. (C) Docking pose of TGFB3 with rizatriptan benzoate. (D) Docking pose of TGFB3 with L-histidine. (E) Docking pose of TGFB3 with retigabine. (F) Heatmap of binding affinities (kcal/mol) obtained from molecular docking analyses between TGFB3 and the five ligands (proflavine hemisulfate, hydroxychloroquine sulfate, rizatriptan benzoate, L-histidine and retigabine).
Techniques Used: Binding Assay
Figure Legend Snippet: Molecular dynamics analysis of the TGFB3–proflavine hemisulfate complex over 100 ns. (A) Temporal evolution of the RMSD of the protein–ligand complex. (B) Time-dependent changes in the overall Rg and its axis-specific components (Rg_x, Rg_y, Rg_z). (C) SASA as a function of simulation time. (D) Two-dimensional Gibbs free energy landscape derived from principal component analysis (PC1–PC2), with the color gradient indicating free energy magnitude (kJ/mol). (E) Covariance matrix heatmap of atomic motions, where color intensity reflects the strength and direction (positive or negative) of residue–residue correlations. (F) Three-dimensional Gibbs free energy surface and its projected contour map on the PC1/PC2 plane, visually depicting the energy distribution along the principal components.
Techniques Used: Derivative Assay, Residue
Figure Legend Snippet: (A) NicheNet ligand–receptor analysis using fibroblasts as sender cells and epithelial cells as receiver cells, with TGFB3 specified as the ligand of interest. Candidate receptors associated with TGFB3 are displayed. (B) Scatter plot showing the relationship between TGFB3 and TGFBR2 expression. The Spearman correlation coefficient and corresponding P value are indicated in the panel. (C) Manifold-alignment plot generated after in silico knockout of TGFBR2 in epithelial cells using scTenifoldKnk. Each point represents one gene and selected genes are labeled. (D) Ranking of genes affected following virtual TGFBR2 knockout according to the perturbation statistics generated by scTenifoldKnk. (E) Functional enrichment analysis result of genes affected by virtual TGFBR2 knockout.
Techniques Used: Expressing, Generated, In Silico, Knock-Out, Labeling, Functional Assay
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