Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis

Cell Rep. 2015 Jun 16;11(10):1503-10. doi: 10.1016/j.celrep.2015.05.016. Epub 2015 Jun 4.

Abstract

We explore cell heterogeneity during spontaneous and transcription-factor-driven commitment for network inference in hematopoiesis. Since individual genes display discrete OFF states or a distribution of ON levels, we compute and combine pairwise gene associations from binary and continuous components of gene expression in single cells. Ddit3 emerges as a regulatory node with positive linkage to erythroid regulators and negative association with myeloid determinants. Ddit3 loss impairs erythroid colony output from multipotent cells, while forcing Ddit3 in granulo-monocytic progenitors (GMPs) enhances self-renewal and impedes differentiation. Network analysis of Ddit3-transduced GMPs reveals uncoupling of myeloid networks and strengthening of erythroid linkages. RNA sequencing suggests that Ddit3 acts through development or stabilization of a precursor upstream of GMPs with inherent Meg-E potential. The enrichment of Gata2 target genes in Ddit3-dependent transcriptional responses suggests that Ddit3 functions in an erythroid transcriptional network nucleated by Gata2.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cell Differentiation / genetics
  • GATA2 Transcription Factor / genetics
  • Gene Regulatory Networks*
  • Hematopoiesis / genetics*
  • Humans
  • Mice
  • Mice, Inbred C57BL
  • Mice, Knockout
  • Single-Cell Analysis / methods
  • Transcription Factor CHOP / genetics*
  • Transcription Factor CHOP / metabolism*

Substances

  • DDIT3 protein, human
  • Ddit3 protein, mouse
  • GATA2 Transcription Factor
  • Gata2 protein, mouse
  • Transcription Factor CHOP

Associated data

  • GEO/GSE68754
  • SRA/SRP045672