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tissue microarray datasets  (Johns Hopkins HealthCare)

 
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    Johns Hopkins HealthCare tissue microarray datasets
    Tissue Microarray Datasets, supplied by Johns Hopkins HealthCare, 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/microarray+dataset/tissue+microarray+datasets/pmc08484511__mmc2-31-8-24
    Average 90 stars, based on 1 article reviews
    tissue microarray datasets - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Sample Prep:

    Article Title: Predictive models of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer using nuclear morphology and tissue architecture
    Article Snippet: Sample preparation and cohort characteristics We examined two tissue microarray (TMA) datasets of pre-NAC treatment MIBC, whose characteristics and composition have been reported previously (Johns Hopkins discovery cohort10–12 and University Hospital Bern independent validation cohort13–15).

    Microarray:

    Article Title: Predictive models of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer using nuclear morphology and tissue architecture
    Article Snippet: Sample preparation and cohort characteristics We examined two tissue microarray (TMA) datasets of pre-NAC treatment MIBC, whose characteristics and composition have been reported previously (Johns Hopkins discovery cohort10–12 and University Hospital Bern independent validation cohort13–15).

    Biomarker Discovery:

    Article Title: Predictive models of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer using nuclear morphology and tissue architecture
    Article Snippet: Sample preparation and cohort characteristics We examined two tissue microarray (TMA) datasets of pre-NAC treatment MIBC, whose characteristics and composition have been reported previously (Johns Hopkins discovery cohort10–12 and University Hospital Bern independent validation cohort13–15).



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    TRIM21 is elevated in astrocytes across MS. A Analysis of TRIM21 mRNA expression in the control and white matter lesion tissues of MS patients based on gene expression profiling microarray data ( GSE138614 ). B TRIM21 mRNA levels in PBMC samples of healthy controls (n = 12) and MS patients (n = 20) were quantified by RT-qPCR. C Representative immunoblots and corresponding quantification of TRIM21 protein levels in brain tissues from EAE mice at 28 dpi (n = 5). D Representative immunoblot images and the corresponding quantitative analysis of TRIM21 protein expression in spinal cord tissues from EAE mice at 28 dpi (n = 5). E Immunofluorescence co-localization analysis of TRIM21 (red) and the astrocyte marker GFAP (green) in brain and spinal cord sections from control and EAE mice at 28 dpi (n = 5). Scale bar, 50 µm

    Journal: Journal of Neuroinflammation

    Article Title: TRIM21 promotes astrocyte-mediated neuroinflammation in experimental autoimmune encephalomyelitis by stabilizing RGMa via K33-linked ubiquitination

    doi: 10.1186/s12974-026-03769-4

    Figure Lengend Snippet: TRIM21 is elevated in astrocytes across MS. A Analysis of TRIM21 mRNA expression in the control and white matter lesion tissues of MS patients based on gene expression profiling microarray data ( GSE138614 ). B TRIM21 mRNA levels in PBMC samples of healthy controls (n = 12) and MS patients (n = 20) were quantified by RT-qPCR. C Representative immunoblots and corresponding quantification of TRIM21 protein levels in brain tissues from EAE mice at 28 dpi (n = 5). D Representative immunoblot images and the corresponding quantitative analysis of TRIM21 protein expression in spinal cord tissues from EAE mice at 28 dpi (n = 5). E Immunofluorescence co-localization analysis of TRIM21 (red) and the astrocyte marker GFAP (green) in brain and spinal cord sections from control and EAE mice at 28 dpi (n = 5). Scale bar, 50 µm

    Article Snippet: The microarray dataset GSE138614 was retrieved from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information ( https://www.ncbi.nlm.nih.gov/geo/ ).

    Techniques: Expressing, Control, Gene Expression, Microarray, Quantitative RT-PCR, Western Blot, Immunofluorescence, Marker

    SIRT3 is downregulated in RCC. ( A ) Based on the GEO GSE53757 dataset, SIRT3 mRNA levels in RCC tissues were compared with those in normal tissues. ( B ) SIRT3 protein levels in RCC tissues were analyzed in comparison to adjacent normal tissues using CPTAC data. ( C ) SIRT3 protein levels in RCC tissues and normal tissues were detected using immunohistochemistry (IHC). A scatter plot was generated to display the expression of SIRT3 in adjacent normal tissues versus RCC tissues. ( D, E ) Enrichment plots were produced to illustrate the gene expression signatures for proliferation (CHIANG_LIVER_CANCER_SUBCLASS_PROLIFERATION_DN) and migration (GOBP_ENDOTHELIAL_CELL_MIGRATION). *** P < 0.001.

    Journal: Scientific Reports

    Article Title: SIRT3 suppresses renal cancer progression by regulating IDH2 acetylation

    doi: 10.1038/s41598-026-37783-6

    Figure Lengend Snippet: SIRT3 is downregulated in RCC. ( A ) Based on the GEO GSE53757 dataset, SIRT3 mRNA levels in RCC tissues were compared with those in normal tissues. ( B ) SIRT3 protein levels in RCC tissues were analyzed in comparison to adjacent normal tissues using CPTAC data. ( C ) SIRT3 protein levels in RCC tissues and normal tissues were detected using immunohistochemistry (IHC). A scatter plot was generated to display the expression of SIRT3 in adjacent normal tissues versus RCC tissues. ( D, E ) Enrichment plots were produced to illustrate the gene expression signatures for proliferation (CHIANG_LIVER_CANCER_SUBCLASS_PROLIFERATION_DN) and migration (GOBP_ENDOTHELIAL_CELL_MIGRATION). *** P < 0.001.

    Article Snippet: The GSE53757 microarray dataset was obtained through the National Center for Biotechnology Information Gene Expression Omnibus database (NCBI GEO, https://www.ncbi.nlm.nih.gov/gds/?term=GSE53757 ).

    Techniques: Comparison, Immunohistochemistry, Generated, Expressing, Produced, Gene Expression, Migration