resource source identifier antibodies rabbit monoclonal anti ets1 cell signaling technology  (Cell Signaling Technology Inc)

Journal: Signal Transduction and Targeted Therapy

Article Title: Single-cell identifies and validates human circulating Treg subtype/state Treg fci in non-small cell lung cancer

doi: 10.1038/s41392-026-02677-6

Figure Lengend Snippet: ETS1 -associated transcriptomic landscape and spatial enrichment of Treg fci subsets in NSCLC and diverse immunopathological settings. a , b Volcano plot showing DEGs identified from scRNA-seq data. a About 1363 DEGs with adjusted p < 0.05 and log 2 FC > 1 between pre-operative Treg fci subsets and post-operative T cells. b About 995 DEGs between pre-operative Treg fci subsets and non-Treg fci T cell populations of NSCLC patients. c Bar plots displaying top 30 DEGs between pre-operative blood-specific T cell subsets and post-operative blood T cells of NSCLC patients. d Heatmap illustrating the expression profiles of the top 30 up-regulated/down-regulated DEGs between pre-operative blood-specific T cell subsets and post-operative blood T cells of NSCLC patients. Box plots comparing spatial distribution of ETS1 ( e ) and ETS1 +Treg fci ( f ) signature scores between central and peripheral tumor regions in NSCLC, based on spatial transcriptomics. g Box plot showing ETS1 exprssion across spatial spots in BRCA, CRC, HCC, OV, PDAC, SCC, analyzed by SpatialTME. h Spatial distribution of ETS1 s in BRCA, CRC, HCC, OV, PDAC, and SCC was analyzed using SpatialTME. Representative spatial transcriptomic heatmaps visualize the regional expression of ETS1 within tissue sections. Representative heatmaps illustrate spatial expression heterogeneity, where red indicates regions of high expression and blue denotes low expression. i Box plots showing ETS1 expression, the identification of 9 out of 16 Treg ciMGPs in healthy donors. * and ** stand for p values less than 0.05 and 0.01, respectively, as compared with the corresponding control groups

Article Snippet: The cells were incubated with anti- ETS1 antibody (Abclonal, China) and Cy3-conjugated antibody (Beyotime, China) in blocking buffer overnight at 4 °C in a humidified chamber.

Techniques: Expressing, Spatial Transcriptomics, Control

Journal: Signal Transduction and Targeted Therapy

Article Title: Single-cell identifies and validates human circulating Treg subtype/state Treg fci in non-small cell lung cancer

doi: 10.1038/s41392-026-02677-6

Figure Lengend Snippet: Transcriptomic and functional characterization of fci-modulated T cells reveal altered calcium. Signaling and mitochondrial dynamics under co-culture and activation conditions. a Flow cytometric analysis of intracellular calcium (Ca²⁺) levels in T fci-NC , PHA activated T fci-NC , T fci-KD , PHA activated T fci-KD . Representative bar plot showing the intracellular calcium concentration using Fluo4 dye determined by flow cytometry. b Mitochondrial morphology in T fci-NC or T fci-KD treated with vehicle or PHA was visualized by high-content imaging. Scale bar = 50 μm. c , d Mitochondrial respiration of T cells measured using the Seahorse XF Analyzer. c Line graph showing the oxygen consumption rate (OCR) in T fci-NC or T fci-KD treated with vehicle or PHA. d OCR in T fci-NC or T fci-KD co-cultured with HBE or A549 treated with vehicle or PHA. e Transmission electron microscopic (TEM) analysis of mitochondria endoplasmic reticulum contact sites (MERCs) in T fci-NC or T fci-KD with vehicle or PHA. Scale bar = 5 μm. f – i Transcriptomic profiling of T fci-NC or T fci-KD with vehicle or PHA and co-cultured with HBE or A549 assessed by bulk RNA sequencing. Volcano plots illustrating the DEGs defined by a fold change >2 and p < 0.05 highlight upregulated and downregulated transcripts. f Transcriptomic changes between T fci-NC and T fci-KD , PHA treated T fci-NC and PHA treated T fci-KD , vehicle treated T fci-NC and PHA treated T fci-NC , vehicle treated T fci-KD vs. PHA treated T fci-KD . g Transcriptomic changes between T fci-NC and T fci-NC co-cultured with A549, T fci-KD and T fci-KD co-cultured with A549, PHA treated T fci-NC and PHA treated T fci-NC co-cultured with A549, PHA treated T fci-KD and PHA treated T fci-KD co-cultured with A549. h Transcriptomic changes between T fci-NC co-cultured with A549 and PHA treated T fci-NC co-cultured with A549, T fci-KD co-cultured with A549 and PHA treated T fci-KD co-cultured with A549, A549 co-cultured with T fci-NC and A549 co-cultured with PHA treated T fci-NC , A549 co-cultured with T fci-NC and A549 co-cultured with T fci-KD . i Transcriptomic changes between A549 co-cultured with T fci-NC and PHA treated A549 co-cultured with T fci-KD , T fci-NC and T fci-NC co-cultured with HBE, PHA treated T fci-NC and PHA treated T fci-NC co-cultured with HBE, T fci-NC co-cultured with HBE and PHA treated T fci-NC co-cultured with HBE. j Quantitative analysis of proliferation of T fci-NC , PHA activated T fci-NC , T fci-KD , PHA activated T fci-KD tracked every hour for 48 h using the high-content imaging system. k Quantitative analysis of proliferation of T fci-NC , PHA activated T fci-NC , T fci-KD , PHA activated T fci-KD co-cultured with A549 tracked every hour for 48 housing. l Immunohistochemical staining (IHC) of human NSCLC tissue sections to assess expression levels of ETS1 , FOXP3, CTLA4, and IL2RA. Representative images illustrate differential expression patterns within the tumor microenvironment. Scale bar = 40 μm. m Bar plots showing the mRNA expression of ETS family transcription factors ( ETS1 , ETS2, ETV1, ETV4, and ETV6) in T fci-NC and T fci-KD , with or without vehicle or PHA. n Bar plots showing the mRNA expression of Treg fci ciMGPs (FOXP3, CTLA4, IL2RA) in T fci-NC and T fci-KD following lentiviral knockdown of ETS1 . o Bar plot showing the mRNA expression of Treg fci ciMGPs in T fci-NC and T fci-KD following lentiviral overexpression of ETS1 . p TEM was used to evaluate ultrastructural features of MERCs in ETS1 -modulated T cells (T ETS1-NC , T ETS1-KD , T ETS1-OE and T ETS1-OE/fci-KD ). Representative images and quantitative measures of MERCs proportions are presented. Scale bar = 5 μm

Article Snippet: The cells were incubated with anti- ETS1 antibody (Abclonal, China) and Cy3-conjugated antibody (Beyotime, China) in blocking buffer overnight at 4 °C in a humidified chamber.

Techniques: Functional Assay, Co-Culture Assay, Activation Assay, Concentration Assay, Flow Cytometry, Imaging, Cell Culture, Transmission Assay, RNA Sequencing, Immunohistochemical staining, Staining, Expressing, Quantitative Proteomics, Knockdown, Over Expression

Journal: Signal Transduction and Targeted Therapy

Article Title: Single-cell identifies and validates human circulating Treg subtype/state Treg fci in non-small cell lung cancer

doi: 10.1038/s41392-026-02677-6

Figure Lengend Snippet: Single-cell transcriptomic and metabolomic profiles of human and mouse Treg fci under conditions of either ETS1 inhibition or deletion. The PBMCs from human healthy volunteers treated with vehicle (Vehicle) or ETS1 inhibitor (Inhibitor) for 24 h ( n = 11/group) and mouse white blood cells and lung tissue cells of Ets1 flox/flox (control) and Ets1 flox/floxFOXP3-Cre (Ets1-cKO) conditional knockout mice were isolated and prepared for scRNA-seq. Treg fci were annotated and selected on basis of Treg fci ciMGPs and the differential expression of genes was analyzed. The percentages of Treg fci were calculated by comparing with total human PBMCs ( a ), mouse blood WBCs ( d ), and mouse lung tissue cells ( g ). Representative changes in the top 20 genes or metabolism-associated genes from significantly different expression of genes were detected between human blood Treg fci with ETS1 inhibitor (Treg fci + TK216) and Treg fci with vehicle (Treg fci + V) ( b or c ), between Ets1 conditional knockout mice blood (mice ETS1-cKO ) and wild-type mice blood (mice ETS1-wt ) ( e or f ), and between Ets1 conditional knockout mice lung (mice ETS1-cKO ) and wild-type mice lung (mice ETS1-wt ) ( h or i ). The up- ( j ) or down-( k )regulated gene expression profiles were presented. The expression of IGKC mRNA among 17 Treg subsets was compared between human blood Treg fci +TK216 and Treg fci + V ( l ), between mice ETS1-cKO and mice ETS1-wt blood ( m ), and between mice ETS1-cKO and mice ETS1-wt lung ( n ). * and ** stand for the p values less than 0.05 and 0.01, respectively, when compared with mice ETS1-wt . The number ( o , t ), the distribution volcano plots ( p , u ), the individual levels ( q , v ), Z -scores ( r , w ), and KEGG pathway enrichment analysis bubble plots ( s , x ) of significantly different metabolite levels in mouse lung tissues ( o , p , q , r , s ) or blood plasma ( t , u , u , w , x ) were compared between mice ETS1-cKO and mice ETS1-wt

Article Snippet: The cells were incubated with anti- ETS1 antibody (Abclonal, China) and Cy3-conjugated antibody (Beyotime, China) in blocking buffer overnight at 4 °C in a humidified chamber.

Techniques: Single Cell, Metabolomic, Inhibition, Control, Knock-Out, Isolation, Quantitative Proteomics, Expressing, Gene Expression, Clinical Proteomics

Journal: Signal Transduction and Targeted Therapy

Article Title: Single-cell identifies and validates human circulating Treg subtype/state Treg fci in non-small cell lung cancer

doi: 10.1038/s41392-026-02677-6

Figure Lengend Snippet: A multi-layered strategy to dissect the role of regulatory T cells (Tregs) in non-small cell lung cancer (NSCLC) and the mechanistic contribution of ETS1. Data mining from public repositories enabled the systematic characterization of T cell subsets including Tregs, using marker-based profiling. The analyses of NSCLC-related datasets across six computational platforms revealed Treg enrichment, regional overexpression rates (rOER), and prognostic associations in diverse patient cohorts. Cross-tissue and cross-disease comparisons further established the landscape of Treg distribution in 6 pulmonary diseases, 17 tissues, and 31 disease contexts. Integrative approaches combining differentially expressed gene (DEG) screening, gene set variation analysis (GSVA), and cell communication analysis highlighted ETS1 as a candidate regulator of Treg biology. The relevance of Tregs across cancers was confirmed through flow cytometric phenotyping, while functional experiments demonstrated their impact on cytokine secretion, proliferation, and survival. Co-culture assays using NSCLC cells, organoids, and primary cells provided evidence that Tregs modulate tumor cell autophagy. ETS1 expression and activity within Tregs were further dissected using wild-type and knockout models, uncovering ETS1-dependent transcriptional programs. Gene interaction network analysis delineated ETS1-associated pathways, supporting its role as a central regulator of Treg function in NSCLC. This summarizes an integrated workflow spanning bioinformatics, cross-disease profiling, functional validation, and genetic perturbation, converging on ETS1 as a pivotal determinant of Treg-mediated immune regulation in NSCLC. Created with MedPeer (medpeer.cn)

Article Snippet: The cells were incubated with anti- ETS1 antibody (Abclonal, China) and Cy3-conjugated antibody (Beyotime, China) in blocking buffer overnight at 4 °C in a humidified chamber.

Techniques: Marker, Over Expression, Functional Assay, Co-Culture Assay, Expressing, Activity Assay, Knock-Out, Biomarker Discovery

Journal: PLOS One

Article Title: Elucidate senescence-related gene signature and immune infiltration landscape in abdominal aortic aneurysm

doi: 10.1371/journal.pone.0340976

Figure Lengend Snippet: (A) Bar plot depicting the relative proportions of immune cell types infiltrated in AAA compared to controls. (B) Differential proportions of immune cell populations between AAA and control groups. The correlation between immune cell types and the expression levels of IL6 (C) , ETS1 (D) , TDO2 (E) , and TBX2 (F) in AAA. Kruskal-Walli’s test in (B) , Spearman correlation analysis in (C) , (D) , (E) , and (F) . *, P < 0.05; **, P < 0.01; ***, P < 0.001; ns, not significant.

Article Snippet: Sections were then deparaffinized in xylene, rehydrated through graded ethanol series, and subjected to immunostaining with anti-ETS1 antibody (12118-1-AP; Proteintech) and anti-TDO2 antibody (15880-1-AP; Proteintech).

Techniques: Control, Expressing

Journal: PLOS One

Article Title: Elucidate senescence-related gene signature and immune infiltration landscape in abdominal aortic aneurysm

doi: 10.1371/journal.pone.0340976

Figure Lengend Snippet: (A) Violin plot showing the distribution of single-cell sequencing data for each AAA sample after quality control. (B) Heatmap displaying the expression of characteristic genes across single-cell subpopulations in AAA tissue. (C) t-SNE plot illustrating the presence of 10 distinct immune cell types within AAA tissue. (D) Dot plot and (E) feather plot presenting the expression patterns of IL6, ETS1, TDO2, and TBX2 across various cell populations.

Article Snippet: Sections were then deparaffinized in xylene, rehydrated through graded ethanol series, and subjected to immunostaining with anti-ETS1 antibody (12118-1-AP; Proteintech) and anti-TDO2 antibody (15880-1-AP; Proteintech).

Techniques: Sequencing, Control, Expressing

Journal: PLOS One

Article Title: Elucidate senescence-related gene signature and immune infiltration landscape in abdominal aortic aneurysm

doi: 10.1371/journal.pone.0340976

Figure Lengend Snippet: (A) Representative images of the general aorta from sham-operated and AAA groups, with aortic diameter quantified (n = 5). Immunohistochemistry images showing ETS1 (B) and TDO2 (C) staining in sham-operated versus AAA groups. qPCR analysis of IL6, ETS1, TBX2, and TDO2 expression levels in murine aortas (D) and blood (E) 14 days after operation (n = 5). Students’ t test. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ns, not significant.

Article Snippet: Sections were then deparaffinized in xylene, rehydrated through graded ethanol series, and subjected to immunostaining with anti-ETS1 antibody (12118-1-AP; Proteintech) and anti-TDO2 antibody (15880-1-AP; Proteintech).

Techniques: Immunohistochemistry, Staining, Expressing

Journal: eBioMedicine

Article Title: DNA methylation mediates the immunosuppressive tumour microenvironment in metastatic endometrial clear cell carcinoma

doi: 10.1016/j.ebiom.2025.105954

Figure Lengend Snippet: Epigenetic silencing of the ETS1 regulon compromises anti-tumour immunity . a–g. Analysis of the ECCC sequencing cohort with paired transcriptomic and methylation data (Pn, n = 16; Pm, n = 14). a. Motif enrichment analysis of immune-related hypermethylated DMRs. The y-axis shows the enrichment significance (–log10 (p-value)); the x-axis indicates the motif rank. Significant enrichment was observed for transcription factor binding motifs from the ETS (left) and ZF (right) families. p-Values were determined using a hypergeometric test. b–d. Reduced regulon activity of ETS1 (b, p = 0.002), GATA6 (c, p = 0.038), and PRDM1 (d, p = 0.034) in Pm versus Pn tumours. e. Correlation between ETS1 expression and its target genes. The x-axis represents the Spearman correlation coefficient; the y-axis shows the corresponding p-value. p-Values were calculated by Spearman correlation test. f. Functional enrichment analysis of ETS1 target genes across the GO database. The y-axis shows the enrichment significance (–log10 (q-value)), derived from a hypergeometric test with Benjamini–Hochberg adjustment. The x-axis lists significantly enriched terms. Numbers above bars indicate the count of enriched genes per term. g. Regulatory network of the ETS1 regulon. Transcription factors are represented as ovals and target genes as rectangles; connecting lines indicate regulatory interactions. Oval size corresponds to interaction strength; blue borders denote targets overlapping with downregulated DEGs. h–j. Correlation of ETS1 regulon activity with TME features: TIL density (h, ρ = 0.885, p < 0.001), effector cell signature score (i, ρ = 0.692, p < 0.001), and TLS signature score (j, ρ = 0.726, p < 0.001). p-Values were calculated by Spearman correlation test. k–m, Analyses were performed on the overall ECCC cohort (Pn, n = 27; Pm, n = 24). k. Representative immunohistochemical staining of ETS1. Scale bar = 100 μm. l-m. ETS1 protein expression (H-score) in tumour cells (l, p = 0.248) and immune cells (m, p = 0.002) in Pm versus Pn tumours. All p-values were determined using the Mann–Whitney U test unless otherwise specified. ECCC, endometrial clear cell carcinoma; DMR, differentially methylated region; DMG, differentially methylated gene; Pn, non-metastatic primary tumours; Pm, metastatic primary tumours; DEG, differentially expressed gene; TME, tumour microenvironment; TIL, tumour-infiltrating lymphocyte; TLS, tertiary lymphoid structure.

Article Snippet: Endogenous peroxidase activity was blocked with 3% hydrogen peroxide for 10 min, followed by incubation with primary ETS1 antibody (Cat#66598-1-Ig, RRID: AB_2881958 , Proteintech, China) overnight at 4 °C.

Techniques: Sequencing, Methylation, Binding Assay, Activity Assay, Expressing, Functional Assay, Derivative Assay, Immunohistochemical staining, Staining, MANN-WHITNEY