Nature CommunicationsGenetic & Genomic MedicinePeer-reviewed journal article
A multi-omics resource of B cell activation reveals genetic mechanisms for immune-mediated diseases
Vitor R. C. AguiariD, Marcella E. FrancoiD, Nada Abdel AziziD, Daniela Fernandez‐Salinas, Marcos ChiñasiD, Mariasilvia ColantuoniiD, Qian XiaoiD, Nicolaj S. HackertiD, Yifei LiaoiD, Rodrigo Cervantes‐DíaziD, Marc ToddiD, Brian Wauford, Alex Wactor, Vaishali Prahalad, Raquel Laza BriviescaiD, Roxane DarboussetiD, Qiang Wang, Scott A. JenksiD, Kevin S. CashmaniD, Esther ZumaqueroiD, Zhu ZhuiD, Junning Case, Paloma CejasiD, Miguel Gomez, Hannah C. AinsworthiD, , María Gutiérrez‐ArcelusiD
Abstract
Most genetic variants that confer risk of complex immune-mediated diseases (IMDs) affect gene regulation in specific cell types. Their target genes and focus cell types are often unknown, partially because some effects are hidden in untested cell states. B cells play central roles in IMDs, including autoimmune, allergic, infectious, and cancer-related diseases. Despite this established importance, B cell activation states are underrepresented in functional genomics studies. In this study, we obtained B cells from 26 healthy female donors and stimulated them in vitro with six activation conditions targeting key pathways: the B cell receptor (BCR), Toll-like receptor 7 (TLR7), TLR9, CD40, and a cocktail that promotes differentiation into double negative 2 (DN2) IgD- CD27- CD11c+ CD21- B cells, a likely pathogenic subset implicated in autoimmunity and infection. We profiled up to 24 B cell activation states and up to 5 control conditions using RNA-seq, single-cell RNA-seq with surface protein markers (CITE-seq), and ATAC-seq. We characterize how IMD-associated genes respond to stimuli and group into distinct functional programs. High-depth RNA-seq data reveals widespread splicing effects during B cell activation. Using single-cell data, we describe stimulus-dependent B cell fates. Chromatin data reveal transcription factors likely involved in B cell activation, and activation-dependent open chromatin regions that are enriched in IMD genetic risk. We experimentally validate a lupus risk variant in a stimulus-specific open chromatin region that regulates TNFSF4 expression, highlighting the relevance of studying B cell activation to elucidate disease association. These data are shared via an interactive browser that can be used to query the dynamics of gene regulation and B cell differentiation during activation by different stimuli, enhancing further investigation of B cells and their role in IMDs: https://mgalab.shinyapps.io/bcellactivation.
- organism: human
- assay: scRNA-seq
- assay: bulk RNA-seq
- assay: ATAC-seq
- assay: CITE-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- top 21%
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