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microarray/rna-seq data  (OriGene)


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    OriGene microarray/rna-seq data
    Microarray/Rna Seq Data, supplied by OriGene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rna-seq+and+microarray+data/microarray+data/bio_rxiv__174847-150-38-41
    Average 90 stars, based on 1 article reviews
    microarray/rna-seq data - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Analytical Validation of Multiplex Biomarker Assay to Stratify Colorectal Cancer into Molecular Subtypes.
    Article Snippet: Previously published GEO Omnibus data sets were analysed for gene set selection (GSE14333 and GSE13294) and microarray-based subtyping of the Montpellier cohort (GSE62080). nCounter data for all cohorts (GSE101479 – standard protocol and GSE101481 – modified protocol) and microarray/RNAseq data for OriGene (GSE101472) and Singapore (GSE101588) cohorts are deposited under the SuperSeries with accession number GSE101651.

    Article Title: Analytical Validation of Multiplex Biomarker Assay to Stratify Colorectal Cancer Samples into Molecular Subtypes
    Article Snippet: Previously published GEO Omnibus data sets were analysed for gene set selection (GSE14333 and GSE13294) and microarray-based subtyping of the Montpellier cohort (GSE62080). nCounter data for all cohorts (GSE101479 – standard protocol and GSE101481 – modified protocol) and microarray/RNA-Seq data for OriGene (GSE101472) and Singapore (GSE101588) cohorts are deposited under the SuperSeries with accession number GSE101651.

    Microarray:

    Article Title: Sense-antisense gene-pairs in breast cancer and associated pathological pathways.
    Article Snippet: Cytoscape (version 3.2.1) was used for visualization of GABPA gene network [86]. .. The microarray data for BII-OriGene BC cohort are deposited at the GEO database (http://www.ncbi.nlm.nih. gov/projects/geo /) under the accession ID (GSE61304). ..

    Article Title: miR-24 Is Elevated in Ulcerative Colitis Patients and Regulates Intestinal Epithelial Barrier Function
    Article Snippet: .. Human UC patient colonic tissue used for the microarray analysis was obtained from Origene (Rockville, MD). .. Diagnoses were confirmed by an independent set of pathologists associated with Origene.

    Article Title: Analytical Validation of Multiplex Biomarker Assay to Stratify Colorectal Cancer Samples into Molecular Subtypes
    Article Snippet: .. A third cohort (OriGene; n=17) was purchased from OriGene (Rockville, MD, USA) (microarray data at GEO accession GSE101472). ..

    Article Title: Sense-antisense gene-pairs in breast cancer and associated pathological pathways.
    Article Snippet: .. To obtain the additional training and testing groups used to verify the SAGS, we combined the microarray expression datasets from 5 independent BC cohorts (Metadata: combined the Oxford, the Guys hospital (GSE6532, GSE9195), the Harvard 2 (GSE19615), the Marseille (GSE21653) and the BII-OriGene cohorts (GSE61304), (Table 1 and Supplementary file1:Table S12) with a consequent batch effect correction using the ComBat software [75]. ..

    Article Title: CD47 promotes cell growth and motility in epithelial ovarian cancer.
    Article Snippet: .. Microarray slides that contain 27 tumors and 10 normal samples were obtained from the TissueFocus ovarian cancer tissue microarray (TMA, Origene, CAT#: CT565901), and 9 human endometriosis-associated ovarian cancer samples were obtained from Kaohsiung Medical University Hospital. ..

    Article Title: Sense-antisense gene-pairs in breast cancer and associated pathological pathways
    Article Snippet: Cytoscape (version 3.2.1) was used for visualization of GABPA gene network [ ]. .. The microarray data for BII-OriGene BC cohort are deposited at the GEO database ( http://www.ncbi.nlm.nih.gov/projects/geo/ ) under the accession ID (GSE61304). ..

    Expressing:

    Article Title: Sense-antisense gene-pairs in breast cancer and associated pathological pathways.
    Article Snippet: .. To obtain the additional training and testing groups used to verify the SAGS, we combined the microarray expression datasets from 5 independent BC cohorts (Metadata: combined the Oxford, the Guys hospital (GSE6532, GSE9195), the Harvard 2 (GSE19615), the Marseille (GSE21653) and the BII-OriGene cohorts (GSE61304), (Table 1 and Supplementary file1:Table S12) with a consequent batch effect correction using the ComBat software [75]. ..

    Software:

    Article Title: Sense-antisense gene-pairs in breast cancer and associated pathological pathways.
    Article Snippet: .. To obtain the additional training and testing groups used to verify the SAGS, we combined the microarray expression datasets from 5 independent BC cohorts (Metadata: combined the Oxford, the Guys hospital (GSE6532, GSE9195), the Harvard 2 (GSE19615), the Marseille (GSE21653) and the BII-OriGene cohorts (GSE61304), (Table 1 and Supplementary file1:Table S12) with a consequent batch effect correction using the ComBat software [75]. ..



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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 (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