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single cell expression profile data  (Muris Inc)

 
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    Muris Inc single cell expression profile data
    Single Cell Expression Profile Data, supplied by Muris Inc, 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/single+cell+expression+data/cell+cell+czbiohub+expression+mouse+muris+org+sf+single+single+tabula+vignette/pmc12659644-207-0-19
    Average 86 stars, based on 1 article reviews
    single cell expression profile data - by Bioz Stars, 2026-11
    86/100 stars

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    other:

    Article Title: FICTURE: scalable segmentation-free analysis of submicron-resolution spatial transcriptomics.
    Article Snippet: We simulate gene expression based on annotated single-cell RNA-seq data from Tabula Muris (3-month-old adult mouse)30.

    Article Title: Hepatic lipopolysaccharide binding protein partially uncouples inflammation from fibrosis in MAFLD
    Article Snippet: The mouse liver single-cell RNA-seq data ( Tabula Muris ) (16) are available from the Gene Expression Omnibus (GSE109774).

    Article Title: Hepatic lipopolysaccharide binding protein partially uncouples inflammation from fibrosis in MAFLD
    Article Snippet: Mouse liver single-cell RNA-seq data (Tabula Muris) (15) are available from the Gene Expression Omnibus (GSE109774).

    Article Title: Clustering-independent estimation of cell abundances in bulk tissues using single-cell RNA-seq data
    Article Snippet: Single-cell RNA-seq data from Tabula Muris Senis , Tabula Muris Consortium , GEO: GSE149590.

    Single Cell:

    Article Title: Potential Role of Aerobic Exercise in Attenuating Diabetic Cardiomyopathy via Modulation of P2X4-Mediated NLRP3 Inflammasome Activation and Pyroptosis
    Article Snippet: .. Single-cell expression profile data of P2X1, P2X2, P2X3, P2X4, P2X5, P2X6, P2X7 in heart tissue were obtained from Tabula Muris ( https://tabula-muris.ds.czbiohub.org/ ) [ ]. .. Data are presented as mean ± SEM, and statistical analysis was performed using Prism 9.5 (GraphPad Software Inc.).

    Article Title: Tetramethylpyrazine improves the structure and function of mitochondrial-associated endoplasmic reticulum membrane and liver fibrosis.
    Article Snippet: .. We further analyzed morphology-related genes that were prominently controlled by TMP administration using single cell transcriptome data from the model organism Mus musculus (https://tabula-muris.ds.czbiohub.org/) and found that these genes were enriched in hepatocytes (Fig. 1F). ..

    Expressing:

    Article Title: Potential Role of Aerobic Exercise in Attenuating Diabetic Cardiomyopathy via Modulation of P2X4-Mediated NLRP3 Inflammasome Activation and Pyroptosis
    Article Snippet: .. Single-cell expression profile data of P2X1, P2X2, P2X3, P2X4, P2X5, P2X6, P2X7 in heart tissue were obtained from Tabula Muris ( https://tabula-muris.ds.czbiohub.org/ ) [ ]. .. Data are presented as mean ± SEM, and statistical analysis was performed using Prism 9.5 (GraphPad Software Inc.).

    Article Title: Under the shadow: Old-biased genes are subject to weak purifying selection at both the tissue and cell type-specific levels.
    Article Snippet: .. 3 Single cell RNA-seq data analyses 4 Pre-processing 5 Single cell expression data for six different tissues (lung, liver, muscle, brain, skin, and kidney) 6 were downloaded from the Tabula Muris Senis dataset (The Tabula Muris Consortium, 2020) and 7 processed following Izgi and co-authors (Izgi et al., 2022). ..

    RNA Sequencing:

    Article Title: Under the shadow: Old-biased genes are subject to weak purifying selection at both the tissue and cell type-specific levels.
    Article Snippet: .. 3 Single cell RNA-seq data analyses 4 Pre-processing 5 Single cell expression data for six different tissues (lung, liver, muscle, brain, skin, and kidney) 6 were downloaded from the Tabula Muris Senis dataset (The Tabula Muris Consortium, 2020) and 7 processed following Izgi and co-authors (Izgi et al., 2022). ..



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    Flowchart Overview of this MR-based study. LD linkage disequilibrium, ρ-HESS Heritability Estimation from Summary Statistics, GNOVA Genetic covariance analyser, MTAG Multi-Trait Analysis of GWAS, CPASSOC Cross Phenotype Association, GWAS Genome-wide Association Study, MR Mendelian Randomization, GSMR Generalized summary-data-based Mendelian randomization, LDSC-SEG linkage disequilibrium score regression applied to specifically expressed genes, MAGMA Multi-marker Analysis of GenoMic Annotation, SMR Summary-databased Mendelian randomization, Phe-MR phenotypes, MR BMI body mass index, LUSC squamous cell lung cancer; scRNA-seq single-cell RNA sequencing

    Journal: Discover Oncology

    Article Title: Genetic evidence supporting obesity as a risk factor for lung squamous cell carcinoma and the identification of MFAP1 as a shared genetic target

    doi: 10.1007/s12672-026-04793-9

    Figure Lengend Snippet: Flowchart Overview of this MR-based study. LD linkage disequilibrium, ρ-HESS Heritability Estimation from Summary Statistics, GNOVA Genetic covariance analyser, MTAG Multi-Trait Analysis of GWAS, CPASSOC Cross Phenotype Association, GWAS Genome-wide Association Study, MR Mendelian Randomization, GSMR Generalized summary-data-based Mendelian randomization, LDSC-SEG linkage disequilibrium score regression applied to specifically expressed genes, MAGMA Multi-marker Analysis of GenoMic Annotation, SMR Summary-databased Mendelian randomization, Phe-MR phenotypes, MR BMI body mass index, LUSC squamous cell lung cancer; scRNA-seq single-cell RNA sequencing

    Article Snippet: The Single-cell RNA sequencing gene expression data were available from https://www.ncbi.nlm.nih.gov/geo/ and [https://singlecell.broadinstitute.org/single_cell](https:/www.singlecell.broadinstitute.org/single_cell) .

    Techniques: GWAS, Marker, Single Cell, RNA Sequencing

    Tissue- and cell type–specific enrichment of SNP heritability for BMI and LUSC. A Tissue-level SNP heritability enrichment for BMI across 53 GTEx tissues estimated using LDSC-SEG. The x-axis shows tissues grouped by organ system, and the y-axis shows the estimated enrichment coefficient (log-scaled or standardized). Tissues surpassing the significance threshold (FDR-adjusted P < 0.05) are highlighted. B Tissue-level SNP heritability enrichment for LUSC using the same LDSC-SEG framework. The x-axis indicates GTEx tissues and the y-axis indicates enrichment coefficients, as in panel ( A ). Tissues with significant enrichment (FDR-adjusted P < 0.05) are labelled, illustrating the overlap and differences in tissue-specific genetic architecture between BMI and LUSC. C – G Cell type–specific SNP heritability enrichment for BMI and LUSC across single-cell RNA sequencing datasets from brain, ileum, heart, and colon, estimated using MAGMA-based cell typing. For each tissue, the left panel shows enrichment for BMI and the right panel shows enrichment for LUSC. The y-axis lists cell types (for example, neurons, epithelial cells, eosinophils, CD8⁺ T cells), and the x-axis shows –log₁₀(P) values for the association between cell type–specific expression and SNP heritability. Cell types with P < 0.05 are indicated in red, highlighting those most strongly enriched for the genetic signal of BMI and/or LUSC. BMI body mass index, LUSC lung squamous cell carcinoma, SNP single nucleotide polymorphism, LDSC-SEG linkage disequilibrium score regression applied to specifically expressed genes, MAGMA Multi-marker Analysis of GenoMic Annotation, scRNA-seq single-cell RNA sequencing, GTEx Genotype-Tissue Expression

    Journal: Discover Oncology

    Article Title: Genetic evidence supporting obesity as a risk factor for lung squamous cell carcinoma and the identification of MFAP1 as a shared genetic target

    doi: 10.1007/s12672-026-04793-9

    Figure Lengend Snippet: Tissue- and cell type–specific enrichment of SNP heritability for BMI and LUSC. A Tissue-level SNP heritability enrichment for BMI across 53 GTEx tissues estimated using LDSC-SEG. The x-axis shows tissues grouped by organ system, and the y-axis shows the estimated enrichment coefficient (log-scaled or standardized). Tissues surpassing the significance threshold (FDR-adjusted P < 0.05) are highlighted. B Tissue-level SNP heritability enrichment for LUSC using the same LDSC-SEG framework. The x-axis indicates GTEx tissues and the y-axis indicates enrichment coefficients, as in panel ( A ). Tissues with significant enrichment (FDR-adjusted P < 0.05) are labelled, illustrating the overlap and differences in tissue-specific genetic architecture between BMI and LUSC. C – G Cell type–specific SNP heritability enrichment for BMI and LUSC across single-cell RNA sequencing datasets from brain, ileum, heart, and colon, estimated using MAGMA-based cell typing. For each tissue, the left panel shows enrichment for BMI and the right panel shows enrichment for LUSC. The y-axis lists cell types (for example, neurons, epithelial cells, eosinophils, CD8⁺ T cells), and the x-axis shows –log₁₀(P) values for the association between cell type–specific expression and SNP heritability. Cell types with P < 0.05 are indicated in red, highlighting those most strongly enriched for the genetic signal of BMI and/or LUSC. BMI body mass index, LUSC lung squamous cell carcinoma, SNP single nucleotide polymorphism, LDSC-SEG linkage disequilibrium score regression applied to specifically expressed genes, MAGMA Multi-marker Analysis of GenoMic Annotation, scRNA-seq single-cell RNA sequencing, GTEx Genotype-Tissue Expression

    Article Snippet: The Single-cell RNA sequencing gene expression data were available from https://www.ncbi.nlm.nih.gov/geo/ and [https://singlecell.broadinstitute.org/single_cell](https:/www.singlecell.broadinstitute.org/single_cell) .

    Techniques: Single Cell, RNA Sequencing, Expressing, Marker

    a Gene expression levels (Transcripts Per Million, TPM) of major autoantibody targets identified in paraneoplastic pemphigus, showing a marked enrichment in the skin and other squamous epithelia (data from the GTEx database, v6p.v1.1.8). Each bar comprises stacked boxes, with the width of each box representing the interquartile range of gene expression in the corresponding tissue. b – d Heatmaps showing normalized single-cell transcript expression levels (nTPM), summarized per gene and cell type cluster for selected tissues, highlighting SERPINB3 expression in bronchiolar cells. Single-cell expression data were obtained from the Human Protein Atlas.

    Journal: Communications Medicine

    Article Title: Autoantibody repertoire analysis in paraneoplastic pemphigus reveals novel targets linked to mucocutaneous blistering and bronchiolitis obliterans

    doi: 10.1038/s43856-025-01335-2

    Figure Lengend Snippet: a Gene expression levels (Transcripts Per Million, TPM) of major autoantibody targets identified in paraneoplastic pemphigus, showing a marked enrichment in the skin and other squamous epithelia (data from the GTEx database, v6p.v1.1.8). Each bar comprises stacked boxes, with the width of each box representing the interquartile range of gene expression in the corresponding tissue. b – d Heatmaps showing normalized single-cell transcript expression levels (nTPM), summarized per gene and cell type cluster for selected tissues, highlighting SERPINB3 expression in bronchiolar cells. Single-cell expression data were obtained from the Human Protein Atlas.

    Article Snippet: Single-cell expression data were obtained from the Human Protein Atlas.

    Techniques: Gene Expression, Expressing