High-fidelity promoter profiling reveals widespread alternative promoter usage and transposon-driven developmental gene expression.
High-fidelity promoter profiling reveals widespread alternative promoter usage and transposon-driven developmental gene expression.
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DOI:
10.1101/gr.139618.112
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发表时间:
2013-01
期刊:
影响因子:
7
通讯作者:
Gingeras TR
中科院分区:
文献类型:
--
作者:
Batut P;Dobin A;Plessy C;Carninci P;Gingeras TR
Many eukaryotic genes possess multiple alternative promoters with distinct expression specificities. Therefore, comprehensively annotating promoters and deciphering their individual regulatory dynamics is critical for gene expression profiling applications and for our understanding of regulatory complexity. We introduce RAMPAGE, a novel promoter activity profiling approach that combines extremely specific 5′-complete cDNA sequencing with an integrated data analysis workflow, to address the limitations of current techniques. RAMPAGE features a streamlined protocol for fast and easy generation of highly multiplexed sequencing libraries, offers very high transcription start site specificity, generates accurate and reproducible promoter expression measurements, and yields extensive transcript connectivity information through paired-end cDNA sequencing. We used RAMPAGE in a genome-wide study of promoter activity throughout 36 stages of the life cycle of Drosophila melanogaster, and describe here a comprehensive data set that represents the first available developmental time-course of promoter usage. We found that >40% of developmentally expressed genes have at least two promoters and that alternative promoters generally implement distinct regulatory programs. Transposable elements, long proposed to play a central role in the evolution of their host genomes through their ability to regulate gene expression, contribute at least 1300 promoters shaping the developmental transcriptome of D. melanogaster. Hundreds of these promoters drive the expression of annotated genes, and transposons often impart their own expression specificity upon the genes they regulate. These observations provide support for the theory that transposons may drive regulatory innovation through the distribution of stereotyped cis-regulatory modules throughout their host genomes.
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DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
64.8
作者:
Graveley BR;Brooks AN;Carlson JW;Duff MO;Landolin JM;Yang L;Artieri CG;van Baren MJ;Boley N;Booth BW;Brown JB;Cherbas L;Davis CA;Dobin A;Li R;Lin W;Malone JH;Mattiuzzo NR;Miller D;Sturgill D;Tuch BB;Zaleski C;Zhang D;Blanchette M;Dudoit S;Eads B;Green RE;Hammonds A;Jiang L;Kapranov P;Langton L;Perrimon N;Sandler JE;Wan KH;Willingham A;Zhang Y;Zou Y;Andrews J;Bickel PJ;Brenner SE;Brent MR;Cherbas P;Gingeras TR;Hoskins RA;Kaufman TC;Oliver B;Celniker SE
通讯作者:
Celniker SE
影响因子:
30.8
作者:
Faulkner, Geoffrey J.;Kimura, Yasumasa;Carninci, Piero
通讯作者:
Carninci, Piero
影响因子:
14.8
作者:
Huang, Da Wei;Sherman, Brad T.;Lempicki, Richard A.
通讯作者:
Lempicki, Richard A.
影响因子:
7
作者:
Hoskins, Roger A.;Landolin, Jane M.;Celniker, Susan E.
通讯作者:
Celniker, Susan E.