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single cell expression data  (Human Protein Atlas)

 
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    Human Protein Atlas single cell expression data
    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 <t>normalized</t> <t>single-cell</t> 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.
    Single Cell Expression Data, supplied by Human Protein Atlas, 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/data+rna+seq/pmc12873347-132-0-7
    Average 86 stars, based on 1 article reviews
    single cell expression data - by Bioz Stars, 2026-10
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    Images

    1) Product Images from "Autoantibody repertoire analysis in paraneoplastic pemphigus reveals novel targets linked to mucocutaneous blistering and bronchiolitis obliterans"

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

    Journal: Communications Medicine

    doi: 10.1038/s43856-025-01335-2

    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.
    Figure Legend 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.

    Techniques Used: Gene Expression, Expressing

    Related Articles

    Clinical Proteomics:

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Identification of cell type-enriched plasma proteins The Human Protein Atlas single-cell RNA-seq database (Human Protein Atlas version 24.1 www.proteinatlas.org/humanproteome) was used to map the putative cell type-specific plasma proteome. ..

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Nature Medicine Article https://doi.org/10.1038/s41591-026-04446-y Extended Data Fig. 1 | Identification of cell type-specific plasma proteins. (a) Z-scored gene expression of cell type-enriched plasma protein encoding genes in the Human Protein Atlas (HPA, version 24.1) single-cell transcriptomics dataset, labeled by cell type and grouped according to HPA cell type family categorizations. (b) Coverage of cell type-specific proteins across the 7,289 proteins measured by the 7k SomaScan platform. (c) Coverage of cell typespecific proteins across the 2,923 proteins measured by the 3k Olink platform. ..

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Leveraging single-cell transcriptomic data in the Human Protein Atlas (Methods and Extended Data Fig. 1), we linked 60 cell types to their corresponding plasma proteins. ..

    Single Cell:

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Identification of cell type-enriched plasma proteins The Human Protein Atlas single-cell RNA-seq database (Human Protein Atlas version 24.1 www.proteinatlas.org/humanproteome) was used to map the putative cell type-specific plasma proteome. ..

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Nature Medicine Article https://doi.org/10.1038/s41591-026-04446-y Extended Data Fig. 2 | Enrichment profile examples of cell type-specific proteins. (a) Fold change of enriched proteins for pancreatic endocrine cells based on the Human Protein Atlas single-cell transcriptomic dataset (version 24.1): blue bars represent fold change compared to average expression across all other cell types; red bars show fold change relative to the second-highest expressing cell type. ..

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Nature Medicine Article https://doi.org/10.1038/s41591-026-04446-y Extended Data Fig. 1 | Identification of cell type-specific plasma proteins. (a) Z-scored gene expression of cell type-enriched plasma protein encoding genes in the Human Protein Atlas (HPA, version 24.1) single-cell transcriptomics dataset, labeled by cell type and grouped according to HPA cell type family categorizations. (b) Coverage of cell type-specific proteins across the 7,289 proteins measured by the 7k SomaScan platform. (c) Coverage of cell typespecific proteins across the 2,923 proteins measured by the 3k Olink platform. ..

    Article Title: Neuroprotective effects of Chaihu-Longgu-Muli Decoction in an insomnia-depression comorbidity model via Galectin-3-dependent JAK2/STAT3 inhibition.
    Article Snippet: 21 Ethnopharmacological relevance: Chaihu-Longgu-Muli Decoction (CLMD) is a classical 22 Traditional Chinese Medicine (TCM) formula from the Shanghan Lun comprising Bupleureum 23 chinense DC., Os Draconis, Concha Ostreae, and the other herbs.. Traditionally used to 24 harmonize Shaoyang, calm Shen (spirit), and treat emotional disturbances and insomnia related 25 to liver qi stagnation.. 26 Aim of the study: To evaluate CLMD’s therapeutic efficacy in insomnia-depression 27 comorbidity and elucidate molecular mechanisms through bioinformatics and experimental 28 validation.

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Leveraging single-cell transcriptomic data in the Human Protein Atlas (Methods and Extended Data Fig. 1), we linked 60 cell types to their corresponding plasma proteins. ..

    Article Title:
    Article Snippet: .. To test this hypothesis, we calculated median expression levels of genes up- or down-regulated by HSAN and/or 1-deoxysphingosines in different cell types of the human heart using single cell data from the Human Protein Atlas Project ( Uhlen et al., 2015 ). ..

    RNA Sequencing:

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Identification of cell type-enriched plasma proteins The Human Protein Atlas single-cell RNA-seq database (Human Protein Atlas version 24.1 www.proteinatlas.org/humanproteome) was used to map the putative cell type-specific plasma proteome. ..

    Article Title: ALDH3A2-mediated fatty acid synthesis induces ferroptosis and AML drug resistance
    Article Snippet: .. Analysis of RNA sequencing (RNA-seq) results for 88 leukemia cell lines in the Human Protein Atlas website (HPA) database showed that the top 25% of cell lines with the highest ALDH3A2 expression included fifteen AML cell lines, 4 chronic myeloid leukemia (CML) cell lines, 2 pediatric acute B-lymphoblastic leukemia cell lines, and one T-lymphoblastic leukemia cell line. ..

    Expressing:

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Nature Medicine Article https://doi.org/10.1038/s41591-026-04446-y Extended Data Fig. 2 | Enrichment profile examples of cell type-specific proteins. (a) Fold change of enriched proteins for pancreatic endocrine cells based on the Human Protein Atlas single-cell transcriptomic dataset (version 24.1): blue bars represent fold change compared to average expression across all other cell types; red bars show fold change relative to the second-highest expressing cell type. ..

    Article Title: ALDH3A2-mediated fatty acid synthesis induces ferroptosis and AML drug resistance
    Article Snippet: .. Analysis of RNA sequencing (RNA-seq) results for 88 leukemia cell lines in the Human Protein Atlas website (HPA) database showed that the top 25% of cell lines with the highest ALDH3A2 expression included fifteen AML cell lines, 4 chronic myeloid leukemia (CML) cell lines, 2 pediatric acute B-lymphoblastic leukemia cell lines, and one T-lymphoblastic leukemia cell line. ..

    Article Title: Neuroprotective effects of Chaihu-Longgu-Muli Decoction in an insomnia-depression comorbidity model via Galectin-3-dependent JAK2/STAT3 inhibition.
    Article Snippet: 21 Ethnopharmacological relevance: Chaihu-Longgu-Muli Decoction (CLMD) is a classical 22 Traditional Chinese Medicine (TCM) formula from the Shanghan Lun comprising Bupleureum 23 chinense DC., Os Draconis, Concha Ostreae, and the other herbs.. Traditionally used to 24 harmonize Shaoyang, calm Shen (spirit), and treat emotional disturbances and insomnia related 25 to liver qi stagnation.. 26 Aim of the study: To evaluate CLMD’s therapeutic efficacy in insomnia-depression 27 comorbidity and elucidate molecular mechanisms through bioinformatics and experimental 28 validation.

    Article Title:
    Article Snippet: .. To test this hypothesis, we calculated median expression levels of genes up- or down-regulated by HSAN and/or 1-deoxysphingosines in different cell types of the human heart using single cell data from the Human Protein Atlas Project ( Uhlen et al., 2015 ). ..

    Gene Expression:

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Nature Medicine Article https://doi.org/10.1038/s41591-026-04446-y Extended Data Fig. 1 | Identification of cell type-specific plasma proteins. (a) Z-scored gene expression of cell type-enriched plasma protein encoding genes in the Human Protein Atlas (HPA, version 24.1) single-cell transcriptomics dataset, labeled by cell type and grouped according to HPA cell type family categorizations. (b) Coverage of cell type-specific proteins across the 7,289 proteins measured by the 7k SomaScan platform. (c) Coverage of cell typespecific proteins across the 2,923 proteins measured by the 3k Olink platform. ..

    Transcriptomics:

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Nature Medicine Article https://doi.org/10.1038/s41591-026-04446-y Extended Data Fig. 1 | Identification of cell type-specific plasma proteins. (a) Z-scored gene expression of cell type-enriched plasma protein encoding genes in the Human Protein Atlas (HPA, version 24.1) single-cell transcriptomics dataset, labeled by cell type and grouped according to HPA cell type family categorizations. (b) Coverage of cell type-specific proteins across the 7,289 proteins measured by the 7k SomaScan platform. (c) Coverage of cell typespecific proteins across the 2,923 proteins measured by the 3k Olink platform. ..

    Labeling:

    Article Title: Plasma proteomic signatures of cellular aging predict human disease.
    Article Snippet: .. Nature Medicine Article https://doi.org/10.1038/s41591-026-04446-y Extended Data Fig. 1 | Identification of cell type-specific plasma proteins. (a) Z-scored gene expression of cell type-enriched plasma protein encoding genes in the Human Protein Atlas (HPA, version 24.1) single-cell transcriptomics dataset, labeled by cell type and grouped according to HPA cell type family categorizations. (b) Coverage of cell type-specific proteins across the 7,289 proteins measured by the 7k SomaScan platform. (c) Coverage of cell typespecific proteins across the 2,923 proteins measured by the 3k Olink platform. ..



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    Image Search Results


    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