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single-cell rna-seq data  (Biotechnology Information)

 
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    Biotechnology Information single-cell rna-seq data
    Single Cell Rna Seq Data, supplied by Biotechnology Information, 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/result/single-cell rna-seq data/product/Biotechnology Information
    Average 90 stars, based on 1 article reviews
    single-cell rna-seq data - by Bioz Stars, 2026-03
    90/100 stars

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    Analysis of the hub genes expression at single cell level in COVID-19. A UMAP showing the major cell types in COVID-19 ( n = 37) and heathy controls ( n = 15) at single-cell transcriptomes. B Density plot of AUC values. C Boxplot comparing AUC values between COVID-19 and healthy controls

    Journal: Mammalian Genome

    Article Title: Exploration of shared gene signatures and molecular mechanisms between psoriasis and COVID-19: evidence from transcriptome data

    doi: 10.1007/s00335-026-10194-8

    Figure Lengend Snippet: Analysis of the hub genes expression at single cell level in COVID-19. A UMAP showing the major cell types in COVID-19 ( n = 37) and heathy controls ( n = 15) at single-cell transcriptomes. B Density plot of AUC values. C Boxplot comparing AUC values between COVID-19 and healthy controls

    Article Snippet: Additionally, single-cell RNA sequencing (scRNA-seq) data of COVID-19 samples were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP1289/ ).

    Techniques: Expressing

    Analysis of the hub genes expression at single cell level in psoriasis. A UMAP showing major cell types and clusters in psoriasis patients ( n = 3) and healthy controls ( n = 3). B Density plot of AUC values. C Boxplot comparing AUC values between psoriasis and healthy controls

    Journal: Mammalian Genome

    Article Title: Exploration of shared gene signatures and molecular mechanisms between psoriasis and COVID-19: evidence from transcriptome data

    doi: 10.1007/s00335-026-10194-8

    Figure Lengend Snippet: Analysis of the hub genes expression at single cell level in psoriasis. A UMAP showing major cell types and clusters in psoriasis patients ( n = 3) and healthy controls ( n = 3). B Density plot of AUC values. C Boxplot comparing AUC values between psoriasis and healthy controls

    Article Snippet: Additionally, single-cell RNA sequencing (scRNA-seq) data of COVID-19 samples were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP1289/ ).

    Techniques: Expressing

    Single-cell transcriptome analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types

    Journal: BMC Cancer

    Article Title: TGF-β signaling and tumor microenvironment dynamics in bladder cancer progression post-BCG therapy: a longitudinal single-nucleus RNA-seq study

    doi: 10.1186/s12885-025-15079-8

    Figure Lengend Snippet: Single-cell transcriptome analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types

    Article Snippet: To identify large-scale chromosomal copy number variations (CNVs) in single-cell RNA-Seq data of bladder cancers, including amplifications and deletions of whole or large chromosome segments, we used the InferCNV (version 1.10.1) ( https://github.com/broadinstitute/inferCNV ) software package.

    Techniques: Expressing, Marker