Extensive transcriptional heterogeneity revealed by isoform profiling.
Extensive transcriptional heterogeneity revealed by isoform profiling.
复制标题
作者:
Transcript function is determined by sequence elements arranged on an individual RNA molecule. Variation in transcripts can affect mRNA stability, localization, and translation, or give rise to truncated proteins with differing subcellular localizations and functions. Given the existence of overlapping, variable transcript isoforms, determining the functional impact of the transcriptome requires identification of full-length transcripts, rather than just the genomic regions that are transcribed. Here, by jointly determining both transcript ends for millions of RNA molecules (TIF-Seq), we reveal an extensive layer of isoform diversity previously hidden among overlapping RNA molecules. Variation in transcript boundaries appears to be the rule rather than the exception, even within a single population of yeast cells. Over 26 major transcript isoforms per protein-coding gene were expressed in yeast. Hundreds of short coding RNAs and truncated versions of proteins are concomitantly encoded by alternative transcript isoforms, increasing protein diversity. In addition, ~70% of genes express alternative isoforms that vary in posttranscriptional regulatory elements, and tandem genes frequently produce overlapping or even bicistronic transcripts. This extensive transcript diversity is generated by a relatively simple eukaryotic genome with limited splicing, and within a genetically homogeneous population of cells. Our findings have implications for genome compaction, evolution, and phenotypic diversity between single cells. They also suggest that isoform diversity as well as RNA abundance should be considered when assessing the functional repertoire of genomes.
登录
查看更多内容
影响因子:
4.4
作者:
Miura, Fumihito;Kawaguchi, Noriko;Yoshida, Mikio;Uematsu, Chihiro;Kito, Keiji;Sakaki, Yoshiyuki;Ito, Takashi
通讯作者:
Ito, Takashi
DOI:
10.1126/science.1224350
发表时间:
2012-11-02
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Tan-Wong SM;Zaugg JB;Camblong J;Xu Z;Zhang DW;Mischo HE;Ansari AZ;Luscombe NM;Steinmetz LM;Proudfoot NJ
通讯作者:
Proudfoot NJ
影响因子:
64.5
作者:
Ozsolak F;Kapranov P;Foissac S;Kim SW;Fishilevich E;Monaghan AP;John B;Milos PM
通讯作者:
Milos PM
影响因子:
64.5
作者:
Yao P;Potdar AA;Arif A;Ray PS;Mukhopadhyay R;Willard B;Xu Y;Yan J;Saidel GM;Fox PL
通讯作者:
Fox PL
影响因子:
10.5
作者:
Ungewitter, Erica;Scrable, Heidi
通讯作者:
Scrable, Heidi