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

Summary

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.

Graphical Abstract

Highlights

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  We present a method for inferring gene regulatory networks (GRNs) from single cells

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  Lineage cross-antagonism is a key property of GRNs of early lineage commitment

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  Ddit3 is a regulatory node in erythroid lineage programming

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  A Ddit3-Gata2 regulatory axis antagonizes myeloid and enables erythroid programs

Abstract

Pina et al. develop a gene regulatory network inference method using single-cell gene expression data and identify Ddit3 as a regulatory node in erythroid lineage programming. The authors explore this inference and show that Ddit3 can antagonize myeloid programming and enable erythroid signatures and forms a regulatory axis with Gata2.