| Literature DB >> 30007833 |
Jonathan Packer1, Cole Trapnell2.
Abstract
Cells in a multicellular organism fulfill specific functions by enacting cell-type-specific programs of gene regulation. Single-cell RNA sequencing technologies have provided a transformative view of cell-type-specific gene expression, the output of cell-type-specific gene regulatory programs. This review discusses new single-cell genomic technologies that complement single-cell RNA sequencing by providing additional readouts of cellular state beyond the transcriptome. We highlight regression models as a simple yet powerful approach to relate gene expression to other aspects of cellular state, and in doing so, gain insights into the biochemical mechanisms that are necessary to produce a given gene expression output.Entities:
Mesh:
Year: 2018 PMID: 30007833 PMCID: PMC6097890 DOI: 10.1016/j.tig.2018.06.001
Source DB: PubMed Journal: Trends Genet ISSN: 0168-9525 Impact factor: 11.639