bioRxivImmunologyPreprint
Uncovering the regulatory landscape of early human B-cell lymphopoiesis and its implications in the pathogenesis of B-cell acute lymphoblastic leukemia
N. Planell, X. Martinez-de-Morentin, D. Mouzo, D. Lara-Astiaso, A. Vilas-Zornoza, P. San Martin-Uriz, D. Alignani, B. Paiva, A. Maillo, A. Kurowska, N. Berastegui, P. Garcia-Olloqui, A. Urdangarin, P. Noori, A. Ortega-Legarreta, M. Hernaez, V. Lagani, N. Kiani, M. Merkenschlager, T. Ezponda, J. I. Martin-Subero, R. N. Ramirez, J. Tegner, F. Prosper, D. Gomez-Cabrero
Abstract
Dysregulation of the early stages of B-cell lymphopoiesis, orchestrating the development of cellular immunity, may induce malignant transformations. Therefore, it is essential to characterize the gene regulatory network (GRN) driving B-cell lymphopoiesis in healthy individuals to uncover malignancy mechanisms. To this end, we generated a dataset that included paired human data for chromatin accessibility and gene expression in eight B-cell precursor stages, providing the first deep characterization of early B-cell lymphopoiesis, including the identification of regulatory elements and the reconstruction of the GRN. Using this data, we recapitulated well-known regulatory elements and revealed new regulons, such as ELK3, enriched in pro-B cells with a putative role in cell cycle progression. Moreover, a single-cell multi-omics analysis validated and enhanced the resolution of the regulatory landscape recovered by bulk data, revealing MYBL2 and ZNF367 as specific regulons of cycling cell states, and CEBPA associated with lymphoid multipotent progenitors (LMPPs). Importantly, this dataset enabled us to uncover B-cell acute lymphoblastic leukemia (B-ALL) triggers. We identified different cellular origins of malignant transformation depending on the B-ALL subtype, including the association of the ETV6-RUNX1 with pro-B cells and the increased expression of ELK3 in this ALL subtype. Overall, our dataset provides the most comprehensive atlas to date of early human B-cell regulation (B-rex; https://translationalbio.shinyapps.io/brex/), facilitating further understanding of B-cell differentiation in health and disease.
- organism: human
- assay: ATAC-seq
- assay: scRNA-seq
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: differential expression
- approach: deep learning
- approach: statistical model
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