fkbp10  (Proteintech)

Journal: Translational Cancer Research

Article Title: Integrating multiple omics and machine learning to reveal the prognostic value of endoplasmic reticulum stress gene FKBP10 in gastric cancer

doi: 10.21037/tcr-2025-1-2817

Figure Lengend Snippet: Analyzing STAD at single-cell resolution using RNA sequencing. (A) UMAP map of major cell lineage clustering. (B) UMAP plot depicting the distribution of tumor and normal cells. (C) Cellular composition: pie chart representation. (D) Violin plot depicting FKBP10 expression across distinct cell types in tumor versus normal samples. ****, P<0.0001; ns, non-significant. (E) FKBP10 expression projected in UMAP space. STAD, stomach adenocarcinoma; UMAP, uniform manifold approximation and projection.

Article Snippet: After blocking with 5% skim milk to block non-specific binding, the membranes were incubated overnight at 4 °C with primary antibodies targeting FKBP10 (Wuhan Sanying Biotechnology, Cat No. Ag2814, 1:1,000 dilution, Wuhan, China) and GAPDH (1:1,000 dilution).

Techniques: Single Cell, RNA Sequencing, Expressing

Journal: Translational Cancer Research

Article Title: Integrating multiple omics and machine learning to reveal the prognostic value of endoplasmic reticulum stress gene FKBP10 in gastric cancer

doi: 10.21037/tcr-2025-1-2817

Figure Lengend Snippet: Elevated FKBP10 expression in tumor tissues markedly reshaped intercellular communication networks. (A) Higher FKBP10 levels were associated with increased overall interaction density and complexity compared to low-expression conditions. (B) Differential interaction analysis revealed enhanced (red) and diminished (blue) cell-cell communication in the FKBP10 -high group relative to the FKBP10 -low group. Additionally, ligand-receptor pair analysis was performed for both FKBP10 -high (C) and FKBP10 -low (D) groups, highlighting distinct signaling patterns associated with FKBP10 expression.

Article Snippet: After blocking with 5% skim milk to block non-specific binding, the membranes were incubated overnight at 4 °C with primary antibodies targeting FKBP10 (Wuhan Sanying Biotechnology, Cat No. Ag2814, 1:1,000 dilution, Wuhan, China) and GAPDH (1:1,000 dilution).

Techniques: Expressing

Journal: Translational Cancer Research

Article Title: Integrating multiple omics and machine learning to reveal the prognostic value of endoplasmic reticulum stress gene FKBP10 in gastric cancer

doi: 10.21037/tcr-2025-1-2817

Figure Lengend Snippet: Kaplan-Meier analysis demonstrated a significant overall survival difference between patients with high versus low FKBP10 expression.

Article Snippet: After blocking with 5% skim milk to block non-specific binding, the membranes were incubated overnight at 4 °C with primary antibodies targeting FKBP10 (Wuhan Sanying Biotechnology, Cat No. Ag2814, 1:1,000 dilution, Wuhan, China) and GAPDH (1:1,000 dilution).

Techniques: Expressing

Journal: Translational Cancer Research

Article Title: Integrating multiple omics and machine learning to reveal the prognostic value of endoplasmic reticulum stress gene FKBP10 in gastric cancer

doi: 10.21037/tcr-2025-1-2817

Figure Lengend Snippet: FKBP10 expression is elevated in gastric cancer tissues and cell lines, and its depletion significantly reduces tumor cell viability. (A) Analysis of five paired tissue samples by immunohistochemistry revealed significant upregulation of FKBP10 in gastric tumor tissues relative to adjacent normal controls (antibody source: ProteinTech; dilution ratio: 1:200). ***, P<0.001. (B) Western blot analysis confirms increased FKBP10 protein levels in HGC27 and MKN1 cells. (C) Flow cytometry was used to analyze cell cycle distribution in HGC27 and MKN1 cells after FKBP10 silencing. (D,E) CCK-8 assays demonstrate that FKBP10 downregulation significantly reduces the viability of HGC27 and MKN1 cells. ****, P<0.0001. CCK-8, Cell Counting Kit-8; PT, peritumoral tissue; siFKBP10, small interfering RNA targeting FKBP10; siNC, small interfering RNA targeting negative control; T, tumor.

Article Snippet: After blocking with 5% skim milk to block non-specific binding, the membranes were incubated overnight at 4 °C with primary antibodies targeting FKBP10 (Wuhan Sanying Biotechnology, Cat No. Ag2814, 1:1,000 dilution, Wuhan, China) and GAPDH (1:1,000 dilution).

Techniques: Expressing, Immunohistochemistry, Western Blot, Flow Cytometry, CCK-8 Assay, Cell Counting, Small Interfering RNA, Negative Control

Journal: Discover Oncology

Article Title: FKBP10 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma

doi: 10.1007/s12672-026-04604-1

Figure Lengend Snippet: FKBP10 expression profiles and prognostic significance in HCC. A Pan-cancer analysis of FKBP10 mRNA expression across tumor and normal tissues using the TIMER database. B FKBP10 mRNA expression in HCC and normal liver tissues from TCGA, analyzed via the UALCAN portal. C FKBP10 expression across liver cancer subtypes. D , E FKBP10 expression in tumors with different histological grades and nodal metastasis status, respectively. F FKBP10 protein expression levels in HCC versus normal liver tissues from the CPTAC dataset. G Immunohistochemical staining of FKBP10 protein in HCC and normal tissues from the HPA database. H , I Validation of FKBP10 mRNA ( H ) and protein ( I ) expression in paired tumor and adjacent normal tissues from clinical HCC samples. J Kaplan-Meier survival curves showing the overall survival difference between high and low FKBP10 expression groups in TCGA-HCC, analyzed via UALCAN. K Kaplan-Meier curves showing overall survival (OS) and disease-free survival (DFS) in high vs. low FKBP10 expression groups from a clinical HCC cohort

Article Snippet: Tissue sections were incubated overnight at 4 °C with fluorophore-conjugated primary antibodies against EpCAM (Proteintech, 21050-1-AP), α-SMA (Proteintech, 14395-1-AP), and FKBP10 (Proteintech, 12172-1-AP) in a humidified chamber.

Techniques: Expressing, Immunohistochemical staining, Staining, Biomarker Discovery

Journal: Discover Oncology

Article Title: FKBP10 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma

doi: 10.1007/s12672-026-04604-1

Figure Lengend Snippet: Functional enrichment analyses of FKBP10 and associated genes in HCC. A Protein–protein interaction (PPI) network of FKBP10 and its top 10 interacting proteins constructed using STRING. B KEGG and GO enrichment analyses of the top 50 FKBP10-interacting proteins. C Volcano plot showing differentially expressed genes (DEGs) between FKBP10-high and FKBP10-low groups in TCGA-LIHC ( P < 0.01, |log₂FC| > 1); top upregulated DEGs are labeled. D KEGG pathway enrichment analysis of the DEGs between FKBP10-high and FKBP10-low groups. E GO enrichment analysis of the DEGs, including biological process (BP), cellular component (CC), and molecular function (MF) categories. F GSEA showing pathways positively enriched in the FKBP10-high expression group

Article Snippet: Tissue sections were incubated overnight at 4 °C with fluorophore-conjugated primary antibodies against EpCAM (Proteintech, 21050-1-AP), α-SMA (Proteintech, 14395-1-AP), and FKBP10 (Proteintech, 12172-1-AP) in a humidified chamber.

Techniques: Functional Assay, Construct, Labeling, Expressing

Journal: Discover Oncology

Article Title: FKBP10 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma

doi: 10.1007/s12672-026-04604-1

Figure Lengend Snippet: Single-cell transcriptomic analysis of FKBP10 expression in HCC fibroblasts. A UMAP clustering of 44 cell clusters based on scRNA-seq datasets GSE189903 and GSE212046 . B Cell type annotation based on canonical marker genes. C UMAP plot displaying FKBP10 expression across cell types. D Bubble plot of representative marker genes for cell-type identification. E Subclustering of fibroblasts for further analysis. F Classification of fibroblasts into FKBP10⁺ and FKBP10⁻ subgroups. G Violin plot comparing FKBP10 expression in fibroblasts from HCC versus normal tissues. H Proportional distribution of fibroblast subclusters in tumor versus normal samples, revealing heterogeneity. I FKBP10 expression distribution in fibroblast subpopulations, enriched in tumor-derived fibroblasts. J , K KEGG ( J ) and GO ( K ) enrichment analyses of DEGs between FKBP10⁺ and FKBP10⁻ fibroblasts

Article Snippet: Tissue sections were incubated overnight at 4 °C with fluorophore-conjugated primary antibodies against EpCAM (Proteintech, 21050-1-AP), α-SMA (Proteintech, 14395-1-AP), and FKBP10 (Proteintech, 12172-1-AP) in a humidified chamber.

Techniques: Single Cell, Expressing, Marker, Derivative Assay

Journal: Discover Oncology

Article Title: FKBP10 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma

doi: 10.1007/s12672-026-04604-1

Figure Lengend Snippet: Cell–cell communication analysis of FKBP10⁺ CAFs in the HCC tumor microenvironment. A Number and strength of intercellular interactions among major cell types in HCC. B Communication network showing FKBP10⁺ fibroblasts as key signaling hubs. C Global overview of signaling pathways mediating cell-cell communication. D , E FKBP10⁺ fibroblasts demonstrate dominant interactions via collagen and laminin pathways, particularly with endothelial cells. F Representative immunofluorescence images of human HCC sections stained for FKBP10, α-SMA (CAFs), and EpCAM (HCC), with nuclei counterstained by DAPI. Merged images show prominent co-localization of FKBP10 with α-SMA–positive CAFs

Article Snippet: Tissue sections were incubated overnight at 4 °C with fluorophore-conjugated primary antibodies against EpCAM (Proteintech, 21050-1-AP), α-SMA (Proteintech, 14395-1-AP), and FKBP10 (Proteintech, 12172-1-AP) in a humidified chamber.

Techniques: Protein-Protein interactions, Immunofluorescence, Staining

Journal: Discover Oncology

Article Title: FKBP10 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma

doi: 10.1007/s12672-026-04604-1

Figure Lengend Snippet: Drug sensitivity and immune landscape associated with FKBP10 expression. A – E Correlation analysis between FKBP10 expression and drug activity z-scores (e.g., Apitolisib, PF-04691502, AZD5363, AZD-8055, Bleomycin) using CellMiner; comparison of predicted drug sensitivity between FKBP10-high and -low expression groups. F Immune cell infiltration profiles inferred via CIBERSORT for FKBP10-high vs. -low groups in TCGA-LIHC. G Differential expression of immune checkpoint genes between FKBP10-high and FKBP10-low groups

Article Snippet: Tissue sections were incubated overnight at 4 °C with fluorophore-conjugated primary antibodies against EpCAM (Proteintech, 21050-1-AP), α-SMA (Proteintech, 14395-1-AP), and FKBP10 (Proteintech, 12172-1-AP) in a humidified chamber.

Techniques: Expressing, Activity Assay, Comparison, Quantitative Proteomics

Journal: Discover Oncology

Article Title: FKBP10 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma

doi: 10.1007/s12672-026-04604-1

Figure Lengend Snippet: Additional drug response analysis based on FKBP10 expression. Scatter plots showing correlations between FKBP10 expression and drug activity z-scores; violin plots compare drug sensitivity between FKBP10-high and FKBP10-low expression groups. Data derived from the CellMiner database

Article Snippet: Tissue sections were incubated overnight at 4 °C with fluorophore-conjugated primary antibodies against EpCAM (Proteintech, 21050-1-AP), α-SMA (Proteintech, 14395-1-AP), and FKBP10 (Proteintech, 12172-1-AP) in a humidified chamber.

Techniques: Expressing, Activity Assay, Derivative Assay

Journal: ACS Omega

Article Title: Novel Biomarkers for Lymph Node Metastasis and Prognosis of Bladder Cancer by Bioinformatics Analysis

doi: 10.1021/acsomega.5c06695

Figure Lengend Snippet: Clinical significance of the signature genes. (A) Representative IHC images of signature gene expression in cancer tissues from BLCA patients with and without lymph node metastasis. Quantitative evaluation of signature gene expression levels is represented as the IOD/area. (B) Relative mRNA expression levels of the signature genes in BLCA patients with and without lymph node metastasis. (C–H) Overall survival of patients with low and high expression levels of the signature genes. (I) Protein levels of FKBP10 in T24-siNC and T24-siFKBP10 cells. (J) mRNA levels of FKBP10 in T24-siNC and T24-siFKBP10 cells. Interference with FKBP10 expression significantly reduced the migration of T24 cells in wound healing assay (K) and the migration and invasion of T24 cells in Transwell assays (L). (M) Comparison of FKBP10 expression levels among different T stages (T2, T3, and T4) in BLCA patients based on the TCGA-BLCA data set. The graphs show the mean ± SEM * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001, and **** p ≤ 0.0001.

Article Snippet: The FKBP10 antibody (12172-1-AP) was obtained from Proteintech (Rosemont, IL, USA).

Techniques: Gene Expression, Expressing, Migration, Wound Healing Assay, Comparison