Decay rates of human mRNAs: correlation with functional characteristics and sequence attributes.
Although mRNA decay rates are a key determinant of the steady-state concentration for any given mRNA species, relatively little is known, on a population level, about what factors influence turnover rates and how these rates are integrated into cellular decisions. We decided to measure mRNA decay rates in two human cell lines with high-density oligonucleotide arrays that enable the measurement of decay rates simultaneously for thousands of mRNA species. Using existing annotation and the Gene Ontology hierarchy of biological processes, we assign mRNAs to functional classes at various levels of resolution and compare the decay rate statistics between these classes. The results show statistically significant organizational principles in the variation of decay rates among functional classes. In particular, transcription factor mRNAs have increased average decay rates compared with other transcripts and are enriched in "fast-decaying" mRNAs with half-lives <2 h. In contrast, we find that mRNAs for biosynthetic proteins have decreased average decay rates and are deficient in fast-decaying mRNAs. Our analysis of data from a previously published study of Saccharomyces cerevisiae mRNA decay shows the same functional organization of decay rates, implying that it is a general organizational scheme for eukaryotes. Additionally, we investigated the dependence of decay rates on sequence composition, that is, the presence or absence of short mRNA motifs in various regions of the mRNA transcript. Our analysis recovers the positive correlation of mRNA decay with known AU-rich mRNA motifs, but we also uncover further short mRNA motifs that show statistically significant correlation with decay. However, we also note that none of these motifs are strong predictors of mRNA decay rate, indicating that the regulation of mRNA decay is more complex and may involve the cooperative binding of several RNA-binding proteins at different sites.
Yang
Edward
E
Laboratory of Molecular Cell Biology, The Rockefeller University, New York, New York 10021-6399, USA.
van Nimwegen
Erik
E
Zavolan
Mihaela
M
Rajewsky
Nikolaus
N
Schroeder
Mark
M
Magnasco
Marcelo
M
Darnell
James E
JE
D001482:Base Composition; D006528:Carcinoma, Hepatocellular / Q000235:genetics / Q000473:pathology; D002460:Cell Line; D005347:Fibroblasts / Q000737:chemistry / Q000166:cytology / Q000378:metabolism; D014644:Genetic Variation; D006207:Half-Life; D006801:Humans; D008113:Liver Neoplasms / Q000235:genetics / Q000473:pathology; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods / Q000706:statistics & numerical data; D012333:RNA, Messenger / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism* / Q000502:physiology; D012334:RNA, Neoplasm / Q000145:classification / Q000235:genetics / Q000378:metabolism / Q000502:physiology; D014407:Tumor Cells, Cultured
D012333:RNA, Messenger; D012334:RNA, Neoplasm