Discriminating cellular heterogeneity using microwell-based RNA cytometry.

Discriminating cellular heterogeneity using microwell-based RNA cytometry.
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DOI:
10.1038/ncomms4451
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发表时间:
2014-03-25
影响因子:
16.6
通讯作者:
Lee, Luke P.
Lee, Luke P.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Dimov, Ivan K.;Lu, Rong;Lee, Eric P.;Seita, Jun;Sahoo, Debashis;Park, Seung-min;Weissman, Irving L.;Lee, Luke P.

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Discriminating cellular heterogeneity is important for understanding cellular physiology. However, it is limited by the technical difficulties of single-cell measurements. Here, we develop a two-stage system to determine cellular heterogeneity. In the first stage, we perform multiplex single-cell RNA-cytometry in a microwell array containing over 60,000 reaction chambers. In the second stage, we use the RNA-cytometry data to determine cellular heterogeneity by providing a heterogeneity likelihood score. Moreover, we use Monte-Carlo simulation and RNA-cytometry data to calculate the minimum number of cells required for detecting heterogeneity. We applied this system to characterize the RNA distributions of aging related genes in a highly purified mouse hematopoietic stem cell population. We identified genes that reveal novel heterogeneity of these cells. We also show that changes in expression of genes such as Birc6 during aging can be attributed to the shift of relative portions of cells in the high-expressing subgroup versus low-expressing subgroup.
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