Platform for combined analysis of functional and biomolecular phenotypes of the same cell
Author(s) -
Laimonas Kelbauskas,
Shashaanka Ashili,
Jia Zeng,
Ali Rezaie,
Kristen Lee,
Д. Деркач,
Benjamin E. Ueberroth,
Weimin Gao,
Thomas G. Paulson,
H. Wang,
Yanqing Tian,
Dean Smith,
Brian J. Reid,
Deirdre R. Meldrum
Publication year - 2017
Publication title -
scientific reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 213
ISSN - 2045-2322
DOI - 10.1038/srep44636
Subject(s) - phenotype , biology , context (archaeology) , computational biology , functional diversity , cell , organism , cell type , adaptation (eye) , function (biology) , single cell analysis , cellular adaptation , gene , bioinformatics , microbiology and biotechnology , genetics , neuroscience , ecology , paleontology
Functional and molecular cell-to-cell variability is pivotal at the cellular, tissue and whole-organism levels. Yet, the ultimate goal of directly correlating the function of the individual cell with its biomolecular profile remains elusive. We present a platform for integrated analysis of functional and transcriptional phenotypes in the same single cells. We investigated changes in the cellular respiration and gene expression diversity resulting from adaptation to repeated episodes of acute hypoxia in a premalignant progression model. We find differential, progression stage-specific alterations in phenotypic heterogeneity and identify cells with aberrant phenotypes. To our knowledge, this study is the first demonstration of an integrated approach to elucidate how heterogeneity at the transcriptional level manifests in the physiologic profile of individual cells in the context of disease progression.
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