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Systems Mapping for Hematopoietic Progenitor Cell Heterogeneity

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  • Linghua Zhou
  • Yong Shen
  • Libo Jiang
  • Danni Yin
  • Jingxin Guo
  • Hui Zheng
  • Hao Sun
  • Rongling Wu
  • Yunqian Guo

Abstract

Cells with the same genotype growing under the same conditions can show different phenotypes, which is known as “population heterogeneity”. The heterogeneity of hematopoietic progenitor cells has an effect on their differentiation potential and lineage choices. However, the genetic mechanisms governing population heterogeneity remain unclear. Here, we present a statistical model for mapping the quantitative trait locus (QTL) that affects hematopoietic cell heterogeneity. This strategy, termed systems mapping, integrates a system of differential equations into the framework for systems mapping, allowing hypotheses regarding the interplay between genetic actions and cell heterogeneity to be tested. A simulation approach based on cell heterogeneity dynamics has been designed to test the statistical properties of the model. This model not only considers the traditional QTLs, but also indicates the methylated QTLs that can illustrate non-genetic individual differences. It has significant implications for probing the molecular, genetic and epigenetic mechanisms of hematopoietic progenitor cell heterogeneity.

Suggested Citation

  • Linghua Zhou & Yong Shen & Libo Jiang & Danni Yin & Jingxin Guo & Hui Zheng & Hao Sun & Rongling Wu & Yunqian Guo, 2015. "Systems Mapping for Hematopoietic Progenitor Cell Heterogeneity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0126937
    DOI: 10.1371/journal.pone.0126937
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    References listed on IDEAS

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