| Literature DB >> 25467744 |
Abstract
Transcriptomic, proteomic, and metabolomic measurements are revolutionizing the way we model and predict cellular behavior, and multi-omic comparisons are being published with increased regularity. Some have expected a trivial and predictable correlation between mRNA and protein; however, the manifest complexity of biological regulation suggests a more nuanced relationship. Indeed, observing this lack of strict correlation provides clues for new research topics, and has the potential for transformative biological insight.Entities:
Keywords: bioinformatics; proteomics; systems biology; transcriptomics
Mesh:
Year: 2014 PMID: 25467744 PMCID: PMC4776753 DOI: 10.1016/j.tibs.2014.10.010
Source DB: PubMed Journal: Trends Biochem Sci ISSN: 0968-0004 Impact factor: 13.807