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Title[redir]:
Mapping systemic lupus erythematosus heterogeneity at the single-cell level | Nature Immunology
Description:
Patients with systemic lupus erythematosus (SLE) display a complex blood transcriptome whose cellular origin is poorly resolved. Using single-cell RNA sequencing, we profiled ~276,000 peripheral blood mononuclear cells from 33 children with SLE with different degrees of disease activity and 11 matched controls. Increased expression of interferon-stimulated genes (ISGs) distinguished cells from children with SLE from healthy control cells. The high ISG expression signature (ISGhi) derived from a small number of transcriptionally defined subpopulations within major cell types, including monocytes, CD4+ and CD8+ T cells, natural killer cells, conventional and plasmacytoid dendritic cells, B cells and especially plasma cells. Expansion of unique subpopulations enriched in ISGs and/or in monogenic lupus-associated genes classified patients with the highest disease activity. Profiling of ~82,000 single peripheral blood mononuclear cells from adults with SLE confirmed the expansion of similar subpopulations in patients with the highest disease activity. This study lays the groundwork for resolving the origin of the SLE transcriptional signatures and the disease heterogeneity towards precision medicine applications. Banchereau and colleagues provide a resource dataset that examines disease-related transcriptional profiles of peripheral whole-blood cells from adolescent patients with SLE by single-cell RNA-seq analysis.
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Keywords {🔍}
pubmed, google, scholar, cells, cas, csle, cell, lupus, chd, central, data, systemic, erythematosus, nature, asle, sledai, panel, ahd, representing, umap, expression, patients, groups, singlecell, nat, categories, analysis, genes, plot, plots, sle, distinct, immunol, left, based, casle, blood, access, bar, article, monocytes, extended, fig, individual, highlighting, abundances, color, represents, disease, scs,
Topics {✒️}
nature portfolio journals permissions reprints nature portfolio privacy policy single-cell rna-seq reveals advertising lupus research social media middle panel research award joy-ann tabanor-gayle single-cell rna sequencing jax research single cell biology visualizing single-cell data nature+ nature 498 nature 465 nature activation-induced b-cell fates interferon-α pathway identifies scrna seq dataset single-cell transcriptomic data pd-1/pd-l1 pathway peer review single cell genomics article nehar-belaid single cell transcriptomes csle single-cell experiments single-cell data single-cell level springerlink instant access permissions systemic lupus erythematosus human dc lineage djamel nehar-belaid blood genomics studies development modular interferon signatures umap plot representing extended data fig marilynn punaro tracey wright published maps poorly resolved pre-germinal center highest disease activity disease activity independently pediatric inflammatory disease sc membership information
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headline:Mapping systemic lupus erythematosus heterogeneity at the single-cell level
description:Patients with systemic lupus erythematosus (SLE) display a complex blood transcriptome whose cellular origin is poorly resolved. Using single-cell RNA sequencing, we profiled ~276,000 peripheral blood mononuclear cells from 33 children with SLE with different degrees of disease activity and 11 matched controls. Increased expression of interferon-stimulated genes (ISGs) distinguished cells from children with SLE from healthy control cells. The high ISG expression signature (ISGhi) derived from a small number of transcriptionally defined subpopulations within major cell types, including monocytes, CD4+ and CD8+ T cells, natural killer cells, conventional and plasmacytoid dendritic cells, B cells and especially plasma cells. Expansion of unique subpopulations enriched in ISGs and/or in monogenic lupus-associated genes classified patients with the highest disease activity. Profiling of ~82,000 single peripheral blood mononuclear cells from adults with SLE confirmed the expansion of similar subpopulations in patients with the highest disease activity. This study lays the groundwork for resolving the origin of the SLE transcriptional signatures and the disease heterogeneity towards precision medicine applications. Banchereau and colleagues provide a resource dataset that examines disease-related transcriptional profiles of peripheral whole-blood cells from adolescent patients with SLE by single-cell RNA-seq analysis.
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Autoimmunity
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Infectious Diseases
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headline:Mapping systemic lupus erythematosus heterogeneity at the single-cell level
description:Patients with systemic lupus erythematosus (SLE) display a complex blood transcriptome whose cellular origin is poorly resolved. Using single-cell RNA sequencing, we profiled ~276,000 peripheral blood mononuclear cells from 33 children with SLE with different degrees of disease activity and 11 matched controls. Increased expression of interferon-stimulated genes (ISGs) distinguished cells from children with SLE from healthy control cells. The high ISG expression signature (ISGhi) derived from a small number of transcriptionally defined subpopulations within major cell types, including monocytes, CD4+ and CD8+ T cells, natural killer cells, conventional and plasmacytoid dendritic cells, B cells and especially plasma cells. Expansion of unique subpopulations enriched in ISGs and/or in monogenic lupus-associated genes classified patients with the highest disease activity. Profiling of ~82,000 single peripheral blood mononuclear cells from adults with SLE confirmed the expansion of similar subpopulations in patients with the highest disease activity. This study lays the groundwork for resolving the origin of the SLE transcriptional signatures and the disease heterogeneity towards precision medicine applications. Banchereau and colleagues provide a resource dataset that examines disease-related transcriptional profiles of peripheral whole-blood cells from adolescent patients with SLE by single-cell RNA-seq analysis.
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Autoimmunity
Systemic lupus erythematosus
Biomedicine
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Infectious Diseases
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