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

Author

Listed:
  • Robin D. Lee

    (University of Minnesota)

  • Sarah A. Munro

    (University of Minnesota)

  • Todd P. Knutson

    (University of Minnesota)

  • Rebecca S. LaRue

    (University of Minnesota)

  • Lynn M. Heltemes-Harris

    (University of Minnesota)

  • Michael A. Farrar

    (University of Minnesota)

Abstract

Integration of external signals and B-lymphoid transcription factor activities organise B cell lineage commitment through alternating cycles of proliferation and differentiation, producing a diverse repertoire of mature B cells. We use single-cell transcriptomics/proteomics to identify differentially expressed gene networks across B cell development and correlate these networks with subtypes of B cell leukemia. Here we show unique transcriptional signatures that refine the pre-B cell expansion stages into pre-BCR-dependent and pre-BCR-independent proliferative phases. These changes correlate with reciprocal changes in expression of the transcription factor EBF1 and the RNA binding protein YBX3, that are defining features of the pre-BCR-dependent stage. Using pseudotime analysis, we further characterize the expression kinetics of different biological modalities across B cell development, including transcription factors, cytokines, chemokines, and their associated receptors. Our findings demonstrate the underlying heterogeneity of developing B cells and characterise developmental nodes linked to B cell transformation.

Suggested Citation

  • Robin D. Lee & Sarah A. Munro & Todd P. Knutson & Rebecca S. LaRue & Lynn M. Heltemes-Harris & Michael A. Farrar, 2021. "Single-cell analysis identifies dynamic gene expression networks that govern B cell development and transformation," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27232-5
    DOI: 10.1038/s41467-021-27232-5
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