Transcriptome variation in human tissues revealed by long-read sequencing.
Transcriptome variation in human tissues revealed by long-read sequencing.
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长阅读测序揭示了人体组织中的转录组变化。
DOI:
10.1038/s41586-022-05035-y
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发表时间:
2022-08
期刊:
影响因子:
64.8
通讯作者:
Cummings, Beryl
中科院分区:
文献类型:
--
作者:
Glinos, Dafni A.;Garborcauskas, Garrett;Hoffman, Paul;Ehsan, Nava;Jiang, Lihua;Gokden, Alper;Dai, Xiaoguang;Aguet, Francois;Brown, Kathleen L.;Garimella, Kiran;Bowers, Tera;Costello, Maura;Ardlie, Kristin;Jian, Ruiqi;Tucker, Nathan R.;Ellinor, Patrick T.;Harrington, Eoghan D.;Tang, Hua;Snyder, Michael;Juul, Sissel;Mohammadi, Pejman;MacArthur, Daniel G.;Lappalainen, Tuuli;Cummings, Beryl
Regulation of transcript structure generates transcript diversity and plays an important role in human disease. The advent of long-read sequencing technologies offers the opportunity to study the role of genetic variation in transcript structure. In this paper, we present a large human long-read RNA-seq dataset using the Oxford Nanopore Technologies platform from 88 samples from GTEx tissues and cell lines, complementing the GTEx resource. We identified just over 70,000 new transcripts for annotated genes, and validated the protein expression of 10% of novel transcripts. We developed a new computational package, LORALS, to analyse genetic effects of rare and common variants on the transcriptome via allele-specific analysis of long reads. We called allele-specific expression and transcript structure events, providing novel insights into the specific transcript alterations caused by common and rare genetic variants and highlighting the resolution gained from long-read data. We were able to perturb transcript structure upon knockdown of PTBP1, an RNA binding protein that mediates splicing, thereby finding genetic regulatory effects that are modified by the cellular environment. Finally, we use this dataset to enhance variant interpretation and study rare variants leading to aberrant splicing patterns.
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影响因子:
12.3
作者:
Castel SE;Levy-Moonshine A;Mohammadi P;Banks E;Lappalainen T
通讯作者:
Lappalainen T
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
64.5
作者:
Jiang L;Wang M;Lin S;Jian R;Li X;Chan J;Dong G;Fang H;Robinson AE;GTEx Consortium;Snyder MP
通讯作者:
Snyder MP
影响因子:
17.1
作者:
Cummings BB;Marshall JL;Tukiainen T;Lek M;Donkervoort S;Foley AR;Bolduc V;Waddell LB;Sandaradura SA;O'Grady GL;Estrella E;Reddy HM;Zhao F;Weisburd B;Karczewski KJ;O'Donnell-Luria AH;Birnbaum D;Sarkozy A;Hu Y;Gonorazky H;Claeys K;Joshi H;Bournazos A;Oates EC;Ghaoui R;Davis MR;Laing NG;Topf A;Genotype-Tissue Expression Consortium;Kang PB;Beggs AH;North KN;Straub V;Dowling JJ;Muntoni F;Clarke NF;Cooper ST;Bönnemann CG;MacArthur DG
通讯作者:
MacArthur DG
影响因子:
7
作者:
Battle A;Mostafavi S;Zhu X;Potash JB;Weissman MM;McCormick C;Haudenschild CD;Beckman KB;Shi J;Mei R;Urban AE;Montgomery SB;Levinson DF;Koller D
通讯作者:
Koller D