| Literature DB >> 28802263 |
Abstract
Emerging technologies for the analysis of genome-wide information in single cells have the potential to transform many fields of biology, including our understanding of cell states, the response of cells to external stimuli, mosaicism, and intratumor heterogeneity. At Experimental Biology 2017 in Chicago, Physiological Genomics hosted a symposium in which five leaders in the field of single cell genomics presented their recent research. The speakers discussed emerging methodologies in single cell analysis and critical issues for the analysis of single cell data. Also discussed were applications of single cell genomics to understanding the different types of cells within an organism or tissue and the basis for cell-to-cell variability in response to stimuli.Entities:
Keywords: batch effects; noise; phase separation; single cell analysis; transcriptome in vivo analysis (TIVA)
Mesh:
Year: 2017 PMID: 28802263 PMCID: PMC5625270 DOI: 10.1152/physiolgenomics.00049.2017
Source DB: PubMed Journal: Physiol Genomics ISSN: 1094-8341 Impact factor: 4.297