StemDriver: a knowledgebase of gene functions for hematopoietic stem cell fate determination

Author:

Luo Yangyang1,Guo Jingjing1,Wen Jianguo2,Zhao Weiling2,Huang Kexin1,Liu Yang1,Wang Grant2,Luo Ruihan1,Niu Ting1,Feng Yuzhou1,Xu Haixia1,Kim Pora2ORCID,Zhou Xiaobo234ORCID

Affiliation:

1. Department of Hematology and West China Biomedical Big Data Center, West China Hospital, Sichuan University , Chengdu , Sichuan  610041 , P.R. China

2. Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston , TX  77030 , USA

3. McGovern Medical School, The University of Texas Health Science Center at Houston , Houston , TX  77030 , USA

4. School of Dentistry, The University of Texas Health Science Center at Houston , Houston , TX  77030 , USA

Abstract

Abstract StemDriver is a comprehensive knowledgebase dedicated to the functional annotation of genes participating in the determination of hematopoietic stem cell fate, available at http://biomedbdc.wchscu.cn/StemDriver/. By utilizing single-cell RNA sequencing data, StemDriver has successfully assembled a comprehensive lineage map of hematopoiesis, capturing the entire continuum from the initial formation of hematopoietic stem cells to the fully developed mature cells. Extensive exploration and characterization were conducted on gene expression features corresponding to each lineage commitment. At the current version, StemDriver integrates data from 42 studies, encompassing a diverse range of 14 tissue types spanning from the embryonic phase to adulthood. In order to ensure uniformity and reliability, all data undergo a standardized pipeline, which includes quality data pre-processing, cell type annotation, differential gene expression analysis, identification of gene categories correlated with differentiation, analysis of highly variable genes along pseudo-time, and exploration of gene expression regulatory networks. In total, StemDriver assessed the function of 23 839 genes for human samples and 29 533 genes for mouse samples. Simultaneously, StemDriver also provided users with reference datasets and models for cell annotation. We believe that StemDriver will offer valuable assistance to research focused on cellular development and hematopoiesis.

Funder

West China Hospital, Sichuan University

Sichuan Science and Technology Program

NIH

NSF

Publisher

Oxford University Press (OUP)

Subject

Genetics

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