Integrated single-cell transcriptomics and epigenomics reveals strong germinal center-associated etiology of autoimmune risk loci
Autor: | King, Hamish W, Wells, Kristen L, Shipony, Zohar, Kathiria, Arwa S, Wagar, Lisa E, Lareau, Caleb, Orban, Nara, Capasso, Robson, Davis, Mark M, Steinmetz, Lars M, James, Louisa K, Greenleaf, William J |
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Rok vydání: | 2021 |
Předmět: |
Homeodomain Proteins
Epigenomics Interleukins Inflammatory and immune system Palatine Tonsil Human Genome Cell Differentiation Autoimmunity Germinal Center Autoimmune Disease Trans-Activators Genetics Humans RNA 2.1 Biological and endogenous factors Single-Cell Analysis Aetiology Transcriptome Sequence Analysis Transcription Factors |
Zdroj: | Science immunology, vol 6, iss 64 |
Popis: | The germinal center (GC) response is critical for both effective adaptive immunity and establishing peripheral tolerance by limiting autoreactive B cells. Dysfunction in these processes can lead to defective immune responses to infection or contribute to autoimmune disease. To understand the gene regulatory principles underlying the GC response, we generated a single-cell transcriptomic and epigenomic atlas of the human tonsil, a widely studied and representative lymphoid tissue. We characterize diverse immune cell subsets and build a trajectory of dynamic gene expression and transcription factor activity during B cell activation, GC formation, and plasma cell differentiation. We subsequently leverage cell type–specific transcriptomic and epigenomic maps to interpret potential regulatory impact of genetic variants implicated in autoimmunity, revealing that many exhibit their greatest regulatory potential in GC-associated cellular populations. These included gene loci linked with known roles in GC biology (IL21, IL21R, IL4R, and BCL6) and transcription factors regulating B cell differentiation (POU2AF1 and HHEX). Together, these analyses provide a powerful new cell type–resolved resource for the interpretation of cellular and genetic causes underpinning autoimmune disease. |
Databáze: | OpenAIRE |
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