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rna microarray data  (Biotechnology Information)

 
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    Biotechnology Information rna microarray data
    Rna Microarray Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rna+microarray+data/data+microarray/pmc12813260-32-0-22
    Average 86 stars, based on 1 article reviews
    rna microarray data - by Bioz Stars, 2026-10
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    Microarray:

    Article Title: Prospective Breast Cancer Biomarkers Identified Using miR-526b-Driven Metabolic Alterations
    Article Snippet: .. RNA microarray data (accession number GSE45827 ) was obtained from the Gene Expression Omnibus (GEO) database provided by the National Center for Biotechnology Information (NCBI; https://www.ncbi.nlm.nih.gov/geo/ )., This dataset included 130 tumor samples (41 TNBC, 30 HER2+, 29 Luminal A, 30 Luminal B) as well as 11 Normal tissue samples. ..

    Article Title: Nonbinary Roles for T Follicular Helper Cells and T Follicular Regulatory Cells in the Germinal Center Response.
    Article Snippet: REVIEW ARTICLE | JULY 01 2023 Nonbinary Roles for T Follicular Helper Cells and T Follicular Regulatory Cells in the Germinal Center Response Qiang Chen; ... et. al J Immunol (2023) 211 (1): 15–22. https://doi.org/10.4049/jimmunol.2200953 Related Content Characterization and clinical signi cance of T follicular helper cells in follicular lymphoma J Immunol (May,2023) TCR Repertoire Analysis of Mouse T Follicular Helper Cells and T Follicular Regulatory Cells Following Immunization J Immunol (May,2016) Roles of T Follicular Helper Cells and T Follicular Regulatory Cells in Autoantibody Production in IL-2–De cient Mice Immunohorizons (July,2019) D ow nloaded from http://journals.aai.org/jim m unol/article-pdf/211/1/15/1646621/ji2200953.pdf by guest on 24 June 2025

    Gene Expression:

    Article Title: Prospective Breast Cancer Biomarkers Identified Using miR-526b-Driven Metabolic Alterations
    Article Snippet: .. RNA microarray data (accession number GSE45827 ) was obtained from the Gene Expression Omnibus (GEO) database provided by the National Center for Biotechnology Information (NCBI; https://www.ncbi.nlm.nih.gov/geo/ )., This dataset included 130 tumor samples (41 TNBC, 30 HER2+, 29 Luminal A, 30 Luminal B) as well as 11 Normal tissue samples. ..

    Article Title: Nonbinary Roles for T Follicular Helper Cells and T Follicular Regulatory Cells in the Germinal Center Response.
    Article Snippet: REVIEW ARTICLE | JULY 01 2023 Nonbinary Roles for T Follicular Helper Cells and T Follicular Regulatory Cells in the Germinal Center Response Qiang Chen; ... et. al J Immunol (2023) 211 (1): 15–22. https://doi.org/10.4049/jimmunol.2200953 Related Content Characterization and clinical signi cance of T follicular helper cells in follicular lymphoma J Immunol (May,2023) TCR Repertoire Analysis of Mouse T Follicular Helper Cells and T Follicular Regulatory Cells Following Immunization J Immunol (May,2016) Roles of T Follicular Helper Cells and T Follicular Regulatory Cells in Autoantibody Production in IL-2–De cient Mice Immunohorizons (July,2019) D ow nloaded from http://journals.aai.org/jim m unol/article-pdf/211/1/15/1646621/ji2200953.pdf by guest on 24 June 2025



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    FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets <t>(CGGA,</t> Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.
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    FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets <t>(CGGA,</t> Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.
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    FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets <t>(CGGA,</t> Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.
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    FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets <t>(CGGA,</t> Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.
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    Protein candidates proposed as potential prognostic markers for high and low risk of tumour recurrence in CRC-II patients.

    Journal: BJC Reports

    Article Title: Protein prognostic biomarkers in stage II colorectal cancer: implications for post-operative management

    doi: 10.1038/s44276-024-00043-z

    Figure Lengend Snippet: Protein candidates proposed as potential prognostic markers for high and low risk of tumour recurrence in CRC-II patients.

    Article Snippet: Candidate selection can be made via informatics approaches [ , ], DNA/RNA microarray data analyses [ ], protein involvement in key biochemical processes [ ], being differentially expressed through mass spectrometry (MS) analysis [ ], Olink proteomics assays [ ] or SomaLogic assays [ ] or as a diagnostic or prognostic marker for other tumour types [ ].

    Techniques: Biomarker Discovery, Expressing, Marker, Reverse Transcription Polymerase Chain Reaction, Microarray, Over Expression

    FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets (CGGA, Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.

    Journal: Frontiers in immunology

    Article Title: IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy.

    doi: 10.3389/fimmu.2023.1338244

    Figure Lengend Snippet: FIGURE 3 Upregulation of IL4I1 infers an unfavorable prognosis for glioma. (A) Representative images (left) and quantification (right) showing IL4I1 staining of normal brain tissues (n = 16) and glioma tissues (n = 37) with the anti-IL4I1 antibody, with scale bars 100 µm (up) and 20 µm (down). (B–D) Kaplan– Meier analysis for OS based on three glioma datasets (CGGA, Rembrandt, and GSE16011). (E–G) ROC curves of OS in CGGA, Rembrandt, and GSE16011 datasets. (H, I) Univariate and multivariate analyses of OS based on CGGA-glioma datasets. ****p < 0.0001.

    Article Snippet: Dataset Data type WHO grade II WHO grade III WHO grade IV CGGA RNA-seq 291 334 388 Rembrandt Microarray 98 85 130 GSE16011 Microarray 24 85 159 frontiersin.org (1:2000, 60143-1-Ig, Proteintech), CD163 (1:1,000, ab182422, Abcam), CD86 (1:1,000, ab239075, Abcam), and beta-tubulin (1:2000, DF7967, Affinity) overnight.

    Techniques: Staining

    FIGURE 4 Heightened IL4I1 expression is correlated with the malignant phenotype of gliomas. (A–D) IL4I1 shows a significant increase in GBM (WHO IV) in TCGA, Rembrandt, GSE16011, and CGGA datasets. Additionally, box plots visualizing the associations between IL4I1 and various clinical characteristics based on the CGGA dataset. Specifically: (E) Age. (F) Status. (G) Histology. (H, I) High expression of IL4I1 in IDH wild-type and 1p/19q non-codel gliomas.

    Journal: Frontiers in immunology

    Article Title: IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy.

    doi: 10.3389/fimmu.2023.1338244

    Figure Lengend Snippet: FIGURE 4 Heightened IL4I1 expression is correlated with the malignant phenotype of gliomas. (A–D) IL4I1 shows a significant increase in GBM (WHO IV) in TCGA, Rembrandt, GSE16011, and CGGA datasets. Additionally, box plots visualizing the associations between IL4I1 and various clinical characteristics based on the CGGA dataset. Specifically: (E) Age. (F) Status. (G) Histology. (H, I) High expression of IL4I1 in IDH wild-type and 1p/19q non-codel gliomas.

    Article Snippet: Dataset Data type WHO grade II WHO grade III WHO grade IV CGGA RNA-seq 291 334 388 Rembrandt Microarray 98 85 130 GSE16011 Microarray 24 85 159 frontiersin.org (1:2000, 60143-1-Ig, Proteintech), CD163 (1:1,000, ab182422, Abcam), CD86 (1:1,000, ab239075, Abcam), and beta-tubulin (1:2000, DF7967, Affinity) overnight.

    Techniques: Expressing

    FIGURE 6 IL4I1 is expressed in M2-like macrophages in glioma. (A) Summary of IL4I1 expression in 12 distinct single-cell datasets from glioma patients. (B) Association between IL4I1 and macrophages on XCELL, TIMER, and EPIC algorithms. (C) Association between IL4I1 expression and markers of M1 and M2 macrophages in CGGA and TCGA databases. Color depth and digital scale represent the strength of association. (D) Representative colocalization images from IF staining between IL4I1 and CD206 in clinical glioma specimens. DAPI (blue), IL4I1 (red) and CD206 (green). Scale bar: 20 mm. (E) Measurement of protein and mRNA expression levels for markers (CD11B, CD204, CD86, CD206, and CD163) of THP-1, M0, M1, and M2 macrophages using WB and RT-qPCR. (F) Assessment of IL4I1 expression in various macrophage subtypes (M0, M1, and M2) and glioma cells (U87, LN229, and U251). (G) Representative IF pictures of the difference of IL4I1 among M0, M1, and M2 macrophages, U87, and LN229 cells with DAPI (blue) and IL4I1 (red). *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.

    Journal: Frontiers in immunology

    Article Title: IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy.

    doi: 10.3389/fimmu.2023.1338244

    Figure Lengend Snippet: FIGURE 6 IL4I1 is expressed in M2-like macrophages in glioma. (A) Summary of IL4I1 expression in 12 distinct single-cell datasets from glioma patients. (B) Association between IL4I1 and macrophages on XCELL, TIMER, and EPIC algorithms. (C) Association between IL4I1 expression and markers of M1 and M2 macrophages in CGGA and TCGA databases. Color depth and digital scale represent the strength of association. (D) Representative colocalization images from IF staining between IL4I1 and CD206 in clinical glioma specimens. DAPI (blue), IL4I1 (red) and CD206 (green). Scale bar: 20 mm. (E) Measurement of protein and mRNA expression levels for markers (CD11B, CD204, CD86, CD206, and CD163) of THP-1, M0, M1, and M2 macrophages using WB and RT-qPCR. (F) Assessment of IL4I1 expression in various macrophage subtypes (M0, M1, and M2) and glioma cells (U87, LN229, and U251). (G) Representative IF pictures of the difference of IL4I1 among M0, M1, and M2 macrophages, U87, and LN229 cells with DAPI (blue) and IL4I1 (red). *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.

    Article Snippet: Dataset Data type WHO grade II WHO grade III WHO grade IV CGGA RNA-seq 291 334 388 Rembrandt Microarray 98 85 130 GSE16011 Microarray 24 85 159 frontiersin.org (1:2000, 60143-1-Ig, Proteintech), CD163 (1:1,000, ab182422, Abcam), CD86 (1:1,000, ab239075, Abcam), and beta-tubulin (1:2000, DF7967, Affinity) overnight.

    Techniques: Expressing, Staining, Quantitative RT-PCR