bioRxivCancer Biology
Single cell dissection of developmental origins and transcriptional heterogeneity in B-cell acute lymphoblastic leukemia
I. Iacobucci, A. G. X. Zeng, Q. Gao, L. Garcia-Prat, P. Baviskar, S. Shah, A. J. Murison, V. Voisin, M. Chan-Seng-Yue, C. Cheng, C. Qu, C. Bailey, M. Lear, M. Witkowski, X. Zhou, A. Zaldivar Peraza, K. Gangwani, A. Advani, S. M. Luger, M. R. Litzow, J. M. Rowe, E. M. Paietta, W. Stock, J. E. Dick, C. G. Mullighan
Abstract
Sequencing of bulk tumor populations has improved genetic classification and risk assessment of B-ALL, but does not directly examine intratumor heterogeneity or infer leukemia cellular origins. We profiled 89 B-ALL samples by single-cell RNA-seq (scRNA-seq) and compared them to a reference map of normal human B-cell development established using both functional and molecular assays. Intra-sample heterogeneity was driven by cell cycle, metabolism, differentiation, and inflammation transcriptional programs. By inference of B lineage developmental state composition, nearly all samples possessed a high abundance of pro-B cells, with variation between samples mainly driven by sub-populations. However, ZNF384-r and DUX4- r B-ALL showed composition enrichment of hematopoietic stem cells, BCR::ABL1 and KMT2A-r ALL of Early Lymphoid progenitors, MEF2D-r and TCF3::PBX1 of Pre-B cells. Enrichment of Early Lymphoid progenitors correlated with high-risk clinical features. Understanding variation in transcriptional programs and developmental states of B-ALL by scRNA-seq refines existing clinical and genomic classifications and improves prediction of treatment outcome.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
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