Quantitative association between gene expression and blood cell production of individual hematopoietic stem cells in mice

Author:

Jiang Du1ORCID,Chowdhury Adnan Y.1,Nogalska Anna1,Contreras Jorge1,Lee Yeachan1,Vergel-Rodriguez Mary1,Valenzuela Melissa1ORCID,Lu Rong1234ORCID

Affiliation:

1. Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.

2. Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.

3. Department of Medicine, University of Southern California, Los Angeles, CA 90033, USA.

4. Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA.

Abstract

Individual hematopoietic stem cells (HSCs) produce different amounts of blood cells upon transplantation. Taking advantage of the intercellular variation, we developed an experimental and bioinformatic approach to evaluating the quantitative association between gene expression and blood cell production across individual HSCs. We found that most genes associated with blood production exhibit the association only at some levels of blood production. By mapping gene expression with blood production, we identified four distinct patterns of their quantitative association. Some genes consistently correlate with blood production over a range of levels or across all levels, and these genes are found to regulate lymphoid but not myeloid production. Other genes exhibit one or more clear peaks of association. Genes with overlapping peaks are found to be coexpressed in other tissues and share similar molecular functions and regulatory motifs. By dissecting intercellular variations, our findings revealed four quantitative association patterns that reflect distinct dose-response molecular mechanisms modulating the blood cell production of HSCs.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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