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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
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    Microarray:

    Article Title: Possible involvement of tubular interleukin-34 in macrophage recruitment during colistin-induced nephrotoxicity in rats.
    Article Snippet: .. Complete microarray data have been submitted and are readily retrievable from the public database National Center for Biotechnology Information Vol. ..

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates.
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: AI guided discovery of a murine model of asymptomatic Alzheimer’s disease
    Article Snippet: .. Publicly available microarray and RNA-sequencing datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) repository [ – ]. .. For Affymetrix microarray platforms, raw intensity files were normalized using Robust Multichip Average (RMA) [ ].

    Article Title: cIAP1 inhibitor of apoptosis is a tumor suppressor in Ewing sarcoma.
    Article Snippet: Ewing sarcoma (EwS) is a highly aggressive pediatric malignancy driven by EWSR1::ETS fusion oncoproteins –primarily EWSR1::FLI1– which deregulate genes essential for differentiation, proliferation, and cell survival.. To uncover key downstream targets of this fusion involved in cell differentiation, we combined transcriptomic profiling of EwS cell lines following EWSR1::ETS inhibition with gene ontology analysis, a clinically annotated gene expression dataset derived from EwS patient material and network analyses.. This integrative approach identified inhibitor of apoptosis protein 1 (cIAP1, alias BIRC2) as an EWSR1::FLI1-suppressed gene.

    Article Title: Zfand5 terminates TLR3/4 signaling and necroptosis by targeting TRIF to the proteasome for degradation.
    Article Snippet: .. Given that PRR-driven innate immune response must be tightly regulated to ensure proper initiation and resolution of inflammation (42), we investigated how macrophages respond to the TLR4 agonist lipopolysaccharide (LPS) by analyzing publicly available microarray data from the National Center for Biotechnology Information (NCBI). ..

    Article Title: Small proline-rich protein 1A is a novel target of peroxisome proliferator-activated receptor gamma in steatotic liver disease.
    Article Snippet: Peroxisome proliferator-activated receptor gamma (PPARγ) is a central regulator of lipid homeostasis; however, the specific downstream effectors mediating hepatic steatosis remain incompletely defined.. In this study, we investigated the molecular basis, by which PPARγ regulates the expression of small proline-rich protein 1 A (SPRR1A) during the development of fatty liver.. We initially performed a bioinformatic re-analysis of publicly available microarray datasets to characterize the gene expression profiles associated with hepatic steatosis in leptin-deficient type 2 diabetic (ob/ob) mice and patients with metabolic dysfunction–associated steatotic liver disease (MASLD).

    Article Title: Identification of susceptibility modules and genes through WGCNA and ceRNA network analysis in neuropathic pain-induced anxiodepression.
    Article Snippet: .. The microarray data under access number GSE92718 were downloaded from the National Center of Biotechnology Information (NCBI) Gene Expression Omnibus (GEO; www.ncbi.nlm.nih.gov/). ..

    Gene Expression:

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates.
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: AI guided discovery of a murine model of asymptomatic Alzheimer’s disease
    Article Snippet: .. Publicly available microarray and RNA-sequencing datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) repository [ – ]. .. For Affymetrix microarray platforms, raw intensity files were normalized using Robust Multichip Average (RMA) [ ].

    Article Title: Identification of susceptibility modules and genes through WGCNA and ceRNA network analysis in neuropathic pain-induced anxiodepression.
    Article Snippet: .. The microarray data under access number GSE92718 were downloaded from the National Center of Biotechnology Information (NCBI) Gene Expression Omnibus (GEO; www.ncbi.nlm.nih.gov/). ..

    RNA sequencing:

    Article Title: AI guided discovery of a murine model of asymptomatic Alzheimer’s disease
    Article Snippet: .. Publicly available microarray and RNA-sequencing datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) repository [ – ]. .. For Affymetrix microarray platforms, raw intensity files were normalized using Robust Multichip Average (RMA) [ ].



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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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    Image Search Results


    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