RT Journal Article
SR Electronic
T1 Sphinx: modeling transcriptional heterogeneity in single-cell RNA-Seq
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 027870
DO 10.1101/027870
A1 Jinghua Gu
A1 Qiumei Gu
A1 Xuan Wang
A1 Pingjian Yu
A1 Wei Lin
YR 2015
UL http://biorxiv.org/content/early/2015/09/30/027870.abstract
AB The significance of single-cell transcription resides not only in the cumulative expression strength of the cell population but also in its heterogeneity. We propose a new model that improves the detection of changes in the transcriptional heterogeneity pattern of RNA-Seq data using two heterogeneity parameters: ‘burst proportion’ and ‘burst magnitude’, whose changes are validated using RNA-FISH. Transcriptional ‘co-bursting’ – governed by distinct mechanisms during myoblast proliferation and differentiation – is described here.