Single-cell analysis identifies dynamic gene expression networks that govern B cell development and transformation

Robin D. Lee; Sarah A. Munro; Todd P. Knutson; Rebecca S. LaRue; Lynn M. Heltemes-Harris; Michael A. Farrar

doi:10.1038/s41467-021-27232-5

Nature Communications (Nov 2021)

Single-cell analysis identifies dynamic gene expression networks that govern B cell development and transformation

Robin D. Lee,
Sarah A. Munro,
Todd P. Knutson,
Rebecca S. LaRue,
Lynn M. Heltemes-Harris,
Michael A. Farrar

Affiliations

Robin D. Lee: Department of Laboratory Medicine and Pathology, Center for Immunology, Masonic Cancer Center, University of Minnesota
Sarah A. Munro: Minnesota Supercomputing Institute, University of Minnesota
Todd P. Knutson: Minnesota Supercomputing Institute, University of Minnesota
Rebecca S. LaRue: Minnesota Supercomputing Institute, University of Minnesota
Lynn M. Heltemes-Harris: Department of Laboratory Medicine and Pathology, Center for Immunology, Masonic Cancer Center, University of Minnesota
Michael A. Farrar: Department of Laboratory Medicine and Pathology, Center for Immunology, Masonic Cancer Center, University of Minnesota

DOI: https://doi.org/10.1038/s41467-021-27232-5
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 16

Abstract

Read online

The characterisation of B cell progenitors could benefit from single cell RNA analysis. Here the authors show distinct transcriptional profiles of B cell progenitors which are dependent upon pre-BCR and these profiles can be related to B cell transformation in lymphoblastic leukaemia.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal