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RT-qPCR validation of the <t>IL2RB/IL2RG–EOMES–GZMA</t> cytotoxic/JAK axis in alopecia areata (AA). Relative mRNA levels of EOMES, GZMA, IL2RB, and IL2RG are significantly elevated in AA lesional scalp compared with healthy controls, whereas androgenetic alopecia (AGA) samples are comparable to controls, indicating that this cytotoxic/JAK module is transcriptionally active in AA but largely quiescent in AGA. Data are shown as mean ± SD. Statistical annotations: ** p < 0.01 vs. control; n.s., not significant (AGA vs. control).
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Image Search Results


RT-qPCR validation of the IL2RB/IL2RG–EOMES–GZMA cytotoxic/JAK axis in alopecia areata (AA). Relative mRNA levels of EOMES, GZMA, IL2RB, and IL2RG are significantly elevated in AA lesional scalp compared with healthy controls, whereas androgenetic alopecia (AGA) samples are comparable to controls, indicating that this cytotoxic/JAK module is transcriptionally active in AA but largely quiescent in AGA. Data are shown as mean ± SD. Statistical annotations: ** p < 0.01 vs. control; n.s., not significant (AGA vs. control).

Journal: Frontiers in Molecular Biosciences

Article Title: JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison

doi: 10.3389/fmolb.2025.1753206

Figure Lengend Snippet: RT-qPCR validation of the IL2RB/IL2RG–EOMES–GZMA cytotoxic/JAK axis in alopecia areata (AA). Relative mRNA levels of EOMES, GZMA, IL2RB, and IL2RG are significantly elevated in AA lesional scalp compared with healthy controls, whereas androgenetic alopecia (AGA) samples are comparable to controls, indicating that this cytotoxic/JAK module is transcriptionally active in AA but largely quiescent in AGA. Data are shown as mean ± SD. Statistical annotations: ** p < 0.01 vs. control; n.s., not significant (AGA vs. control).

Article Snippet: Equal amounts of protein were resolved by SDS–PAGE and transferred to PVDF membranes at 200 mA for 2 h. Membranes were blocked in 5% non-fat milk at room temperature for 2 h and incubated overnight at 4 ° C with primary antibodies against β -actin (1:4000; 20536-1-AP, Proteintech, China), EOMES (1:5000; 83945-5-RR, Proteintech, China), GZMA (1:500; 11288-1-AP, Proteintech, China), IL2RB (1:5000; 13602-1-AP, Proteintech, China), and IL2RG (1:500; 11409-1-AP, Proteintech, China).

Techniques: Quantitative RT-PCR, Biomarker Discovery, Control

GSEA plots for key genes. (a) EOMES. (b) GZMA. (c) IL2RB. (d) IL2RG.

Journal: Frontiers in Molecular Biosciences

Article Title: JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison

doi: 10.3389/fmolb.2025.1753206

Figure Lengend Snippet: GSEA plots for key genes. (a) EOMES. (b) GZMA. (c) IL2RB. (d) IL2RG.

Article Snippet: Equal amounts of protein were resolved by SDS–PAGE and transferred to PVDF membranes at 200 mA for 2 h. Membranes were blocked in 5% non-fat milk at room temperature for 2 h and incubated overnight at 4 ° C with primary antibodies against β -actin (1:4000; 20536-1-AP, Proteintech, China), EOMES (1:5000; 83945-5-RR, Proteintech, China), GZMA (1:500; 11288-1-AP, Proteintech, China), IL2RB (1:5000; 13602-1-AP, Proteintech, China), and IL2RG (1:500; 11409-1-AP, Proteintech, China).

Techniques:

Western blot validation of the IL2RB/IL2RG–EOMES–GZMA cytotoxic/JAK axis at the protein level. Protein expression of EOMES, GZMA, IL2RB, and IL2RG is markedly upregulated in AA lesional scalp compared with healthy controls, concordant with the RT-qPCR results, whereas AGA-affected scalp shows no significant difference relative to controls. Representative immunoblots and densitometric quantification (normalized to β -actin) are shown. Data are presented as mean ± SD. Statistical annotations: ** p < 0.01 vs. control; n.s., not significant (AGA vs. control).

Journal: Frontiers in Molecular Biosciences

Article Title: JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison

doi: 10.3389/fmolb.2025.1753206

Figure Lengend Snippet: Western blot validation of the IL2RB/IL2RG–EOMES–GZMA cytotoxic/JAK axis at the protein level. Protein expression of EOMES, GZMA, IL2RB, and IL2RG is markedly upregulated in AA lesional scalp compared with healthy controls, concordant with the RT-qPCR results, whereas AGA-affected scalp shows no significant difference relative to controls. Representative immunoblots and densitometric quantification (normalized to β -actin) are shown. Data are presented as mean ± SD. Statistical annotations: ** p < 0.01 vs. control; n.s., not significant (AGA vs. control).

Article Snippet: Equal amounts of protein were resolved by SDS–PAGE and transferred to PVDF membranes at 200 mA for 2 h. Membranes were blocked in 5% non-fat milk at room temperature for 2 h and incubated overnight at 4 ° C with primary antibodies against β -actin (1:4000; 20536-1-AP, Proteintech, China), EOMES (1:5000; 83945-5-RR, Proteintech, China), GZMA (1:500; 11288-1-AP, Proteintech, China), IL2RB (1:5000; 13602-1-AP, Proteintech, China), and IL2RG (1:500; 11409-1-AP, Proteintech, China).

Techniques: Western Blot, Biomarker Discovery, Expressing, Quantitative RT-PCR, Control

Value distribution of the entropy weight algorithm of each immune-related gene (A) and differential metabolite (B). The effect of 3-hydroxybutyrate on TNF-α (C) and IL-6 (D) levels in corticosterone-induced PC12 cells. Western blot analysis of IL2RB, JAK1, pJAK1, STAT3, and pSTAT3 of corticosterone-induced PC12 cells with or without ABT-494 (20 μM) at 24 h ( n = 3) (E, F). # p < 0.05, ## p < 0.01, and ### p < 0.001 compared with the corticosterone-induced PC12 cell model group. *** p < 0.001 compared with the control group.

Journal: ACS Omega

Article Title: Vanillic Acid Protects PC12 Cells from Corticosterone-Induced Neurotoxicity via Regulating Immune and Metabolic Dysregulation Based on Computational Metabolomics

doi: 10.1021/acsomega.4c03050

Figure Lengend Snippet: Value distribution of the entropy weight algorithm of each immune-related gene (A) and differential metabolite (B). The effect of 3-hydroxybutyrate on TNF-α (C) and IL-6 (D) levels in corticosterone-induced PC12 cells. Western blot analysis of IL2RB, JAK1, pJAK1, STAT3, and pSTAT3 of corticosterone-induced PC12 cells with or without ABT-494 (20 μM) at 24 h ( n = 3) (E, F). # p < 0.05, ## p < 0.01, and ### p < 0.001 compared with the corticosterone-induced PC12 cell model group. *** p < 0.001 compared with the control group.

Article Snippet: The primary antibodies IL2RB (dilution 1:500, Proteintech, Cat No. 13602-1-AP), JAK1 (1:1000, Proteintech, Cat No. 66466-1-Ig), pJAK1 (1:500, CST, Cat No. 33315), STAT3 (1:1000, Proteintech, Cat No. 10253-2-AP), pSTAT3 (1:500, CST, Cat No. 9145), β-actin (1:1000, Proteintech, Cat No. 81115-1-RR), and GAPDH (1:1000, Proteintech, Cat No. 60004-1-Ig) were used in this analysis.

Techniques: Western Blot, Control

Evolutionary genetic algorithm based tool (ACE) highlights IL2RB as the most common intersection between analyses of nine immune checkpoint markers in CRC, across both TCGA mRNA microarray and RNA-seq datasets. ( A and B ) UpSet plot showing the number of intersections produced by ACE gene lists for each biomarker in both matched microarray data and RNA-seq data, respectively.

Journal: NAR Genomics and Bioinformatics

Article Title: Evolutionary genetic algorithm identifies IL2RB as a potential predictive biomarker for immune-checkpoint therapy in colorectal cancer

doi: 10.1093/nargab/lqab016

Figure Lengend Snippet: Evolutionary genetic algorithm based tool (ACE) highlights IL2RB as the most common intersection between analyses of nine immune checkpoint markers in CRC, across both TCGA mRNA microarray and RNA-seq datasets. ( A and B ) UpSet plot showing the number of intersections produced by ACE gene lists for each biomarker in both matched microarray data and RNA-seq data, respectively.

Article Snippet: Immunohistochemistry was performed for IL2RB (Polyclonal Anti-IL2RB Antibody; Atlas Antibodies, Voltavägen, Sweden; catalogue number: HPA062657; 1:1000 dilution; 15 min incubation at room temperature) on the Leica BOND-MAX automated immunostainer (Antigen retrieval: ER2 for 20 min; Detection chemistry: Bond Polymer Refine Detection and Enhancer).

Techniques: Microarray, RNA Sequencing, Produced, Biomarker Discovery

Transcriptional quantification of microenvironment and prognostic value of IL2RB mRNA expression in CRC. ( A ) Correlation of IL2RB expression with microenvironment cell population (MCP) scores for individual cell types in TCGA CRC microarray data. ( B ) Representative CD3 and CD8 IHC images generated from an in-house TMA split by median IL2RB mRNA expression using matched transcriptional profiles from GSE103479 (×5 magnification). ( C ) Kaplan–Meier curve showing improved DFS for patients with higher expression of IL2RB in CRC TCGA RNA-seq dataset ( n = 322, log rank P = 0.011). ( D ) Kaplan–Meier curve showing improved DFS for patients with higher expression of IL2RB in GSE39582 ( n = 519, log rank P value = 0.0057).

Journal: NAR Genomics and Bioinformatics

Article Title: Evolutionary genetic algorithm identifies IL2RB as a potential predictive biomarker for immune-checkpoint therapy in colorectal cancer

doi: 10.1093/nargab/lqab016

Figure Lengend Snippet: Transcriptional quantification of microenvironment and prognostic value of IL2RB mRNA expression in CRC. ( A ) Correlation of IL2RB expression with microenvironment cell population (MCP) scores for individual cell types in TCGA CRC microarray data. ( B ) Representative CD3 and CD8 IHC images generated from an in-house TMA split by median IL2RB mRNA expression using matched transcriptional profiles from GSE103479 (×5 magnification). ( C ) Kaplan–Meier curve showing improved DFS for patients with higher expression of IL2RB in CRC TCGA RNA-seq dataset ( n = 322, log rank P = 0.011). ( D ) Kaplan–Meier curve showing improved DFS for patients with higher expression of IL2RB in GSE39582 ( n = 519, log rank P value = 0.0057).

Article Snippet: Immunohistochemistry was performed for IL2RB (Polyclonal Anti-IL2RB Antibody; Atlas Antibodies, Voltavägen, Sweden; catalogue number: HPA062657; 1:1000 dilution; 15 min incubation at room temperature) on the Leica BOND-MAX automated immunostainer (Antigen retrieval: ER2 for 20 min; Detection chemistry: Bond Polymer Refine Detection and Enhancer).

Techniques: Expressing, Microarray, Generated, RNA Sequencing

Comprehensive comparative assessment of IL2RB IHC and immune markers in stage II/III MSI-CRC ( n = 115) from an in-house TMA. ( A ) Dot plot showing mean IL2RB positive cells/mm2. ( B ) Representative image of IL2RB IHC (×20 magnification). ( C ) Boxplot and representative images (×5 magnification) comparing PDL1+ tumor cells by IHC in IL2RB high and low patients ( P = 0.058). ( D ) Boxplot and representative images (×5 magnification) comparing density of ICOS+ cells by IHC in IL2RB high and low patients ( P = 0.1956). ( E ) Boxplot and representative images (×5 magnification) comparing density of CD3+ positive cells by IHC in IL2RB high and low patients ( P = 0.0103). ( F ) Boxplot and representative images (×5 magnification) comparing density of CD4+ positive cells by IHC in IL2RB high and low patients ( P = 0.006). ( G ) Boxplot and representative images (×5 magnification) comparing density of FOXP3+ positive cells by IHC in IL2RB high and low patients ( P <0.0001). ( H ) Boxplot and representative images (×5 magnification) comparing density of CD8+ positive cells by IHC in IL2RB high and low patients ( P = 0.2012). Significance determined using Mann–Whitney test. IL2RB status determined using 43rd percentile from transcriptional analysis

Journal: NAR Genomics and Bioinformatics

Article Title: Evolutionary genetic algorithm identifies IL2RB as a potential predictive biomarker for immune-checkpoint therapy in colorectal cancer

doi: 10.1093/nargab/lqab016

Figure Lengend Snippet: Comprehensive comparative assessment of IL2RB IHC and immune markers in stage II/III MSI-CRC ( n = 115) from an in-house TMA. ( A ) Dot plot showing mean IL2RB positive cells/mm2. ( B ) Representative image of IL2RB IHC (×20 magnification). ( C ) Boxplot and representative images (×5 magnification) comparing PDL1+ tumor cells by IHC in IL2RB high and low patients ( P = 0.058). ( D ) Boxplot and representative images (×5 magnification) comparing density of ICOS+ cells by IHC in IL2RB high and low patients ( P = 0.1956). ( E ) Boxplot and representative images (×5 magnification) comparing density of CD3+ positive cells by IHC in IL2RB high and low patients ( P = 0.0103). ( F ) Boxplot and representative images (×5 magnification) comparing density of CD4+ positive cells by IHC in IL2RB high and low patients ( P = 0.006). ( G ) Boxplot and representative images (×5 magnification) comparing density of FOXP3+ positive cells by IHC in IL2RB high and low patients ( P <0.0001). ( H ) Boxplot and representative images (×5 magnification) comparing density of CD8+ positive cells by IHC in IL2RB high and low patients ( P = 0.2012). Significance determined using Mann–Whitney test. IL2RB status determined using 43rd percentile from transcriptional analysis

Article Snippet: Immunohistochemistry was performed for IL2RB (Polyclonal Anti-IL2RB Antibody; Atlas Antibodies, Voltavägen, Sweden; catalogue number: HPA062657; 1:1000 dilution; 15 min incubation at room temperature) on the Leica BOND-MAX automated immunostainer (Antigen retrieval: ER2 for 20 min; Detection chemistry: Bond Polymer Refine Detection and Enhancer).

Techniques: MANN-WHITNEY

Single-Cell RNA-seq characterisation of IL2RB in CRC. ( A ) Dot plot showing expression of IL2RB (log2 FPKM +1) in publically available (GSE81861) single cell RNA-seq profiles from 11 CRC patients compared across cell type (ANOVA, P < 0.0001 (****)). ( B ) Heatmap comparing log2 FPKM+1 expression of PDCD1, PDL1, LAG3, CTLA4, ICOS and TIGIT in IL2RB+ CD8+ T cells ( n = 1192) derived from single cell MC38 Colon cancer anti-PD1 and anti-GITR treated mouse models RNA-seq dataset (GSE120909).

Journal: NAR Genomics and Bioinformatics

Article Title: Evolutionary genetic algorithm identifies IL2RB as a potential predictive biomarker for immune-checkpoint therapy in colorectal cancer

doi: 10.1093/nargab/lqab016

Figure Lengend Snippet: Single-Cell RNA-seq characterisation of IL2RB in CRC. ( A ) Dot plot showing expression of IL2RB (log2 FPKM +1) in publically available (GSE81861) single cell RNA-seq profiles from 11 CRC patients compared across cell type (ANOVA, P < 0.0001 (****)). ( B ) Heatmap comparing log2 FPKM+1 expression of PDCD1, PDL1, LAG3, CTLA4, ICOS and TIGIT in IL2RB+ CD8+ T cells ( n = 1192) derived from single cell MC38 Colon cancer anti-PD1 and anti-GITR treated mouse models RNA-seq dataset (GSE120909).

Article Snippet: Immunohistochemistry was performed for IL2RB (Polyclonal Anti-IL2RB Antibody; Atlas Antibodies, Voltavägen, Sweden; catalogue number: HPA062657; 1:1000 dilution; 15 min incubation at room temperature) on the Leica BOND-MAX automated immunostainer (Antigen retrieval: ER2 for 20 min; Detection chemistry: Bond Polymer Refine Detection and Enhancer).

Techniques: RNA Sequencing, Expressing, Derivative Assay