Comprehensive network modeling from single cell RNA sequencing of human and mouse reveals well conserved transcription regulation of hematopoiesis

BMC Genomics

Xujing Wang¹  Xingmin Feng²  Sachiko Kajigaya²  Neal S. Young²  Shouguo Gao²  Zhijie Wu² 

[1] Division of Diabetes, Endocrinology, and Metabolic Diseases (DEM), NIDDK, National Institutes of Health;Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health;

关键词: Hematopoiesis;    Gene regulatory network;    Co-expression network;    Single-cell RNA sequencing;    Cross-species network analysis;   

DOI  :  10.1186/s12864-020-07241-2

来源: DOAJ

【 摘 要 】

Abstract Background Presently, there is no comprehensive analysis of the transcription regulation network in hematopoiesis. Comparison of networks arising from gene co-expression across species can facilitate an understanding of the conservation of functional gene modules in hematopoiesis. Results We used single-cell RNA sequencing to profile bone marrow from human and mouse, and inferred transcription regulatory networks in each species in order to characterize transcriptional programs governing hematopoietic stem cell differentiation. We designed an algorithm for network reconstruction to conduct comparative transcriptomic analysis of hematopoietic gene co-expression and transcription regulation in human and mouse bone marrow cells. Co-expression network connectivity of hematopoiesis-related genes was found to be well conserved between mouse and human. The co-expression network showed “small-world” and “scale-free” architecture. The gene regulatory network formed a hierarchical structure, and hematopoiesis transcription factors localized to the hierarchy’s middle level. Conclusions Transcriptional regulatory networks are well conserved between human and mouse. The hierarchical organization of transcription factors may provide insights into hematopoietic cell lineage commitment, and to signal processing, cell survival and disease initiation.

【 授权许可】

Unknown