Literature DB >> 35922509

Transcriptome variation in human tissues revealed by long-read sequencing.

Dafni A Glinos1,2, Garrett Garborcauskas3, Paul Hoffman4, Nava Ehsan5, Lihua Jiang6, Alper Gokden4, Xiaoguang Dai7, François Aguet8, Kathleen L Brown4,9, Kiran Garimella8, Tera Bowers8, Maura Costello8, Kristin Ardlie8, Ruiqi Jian6, Nathan R Tucker10,11, Patrick T Ellinor11, Eoghan D Harrington7, Hua Tang6, Michael Snyder6, Sissel Juul7, Pejman Mohammadi5,12, Daniel G MacArthur13,14,15, Tuuli Lappalainen16,17,18, Beryl B Cummings19.   

Abstract

Regulation of transcript structure generates transcript diversity and plays an important role in human disease1-7. The advent of long-read sequencing technologies offers the opportunity to study the role of genetic variation in transcript structure8-16. In this Article, we present a large human long-read RNA-seq dataset using the Oxford Nanopore Technologies platform from 88 samples from Genotype-Tissue Expression (GTEx) tissues and cell lines, complementing the GTEx resource. We identified just over 70,000 novel transcripts for annotated genes, and validated the protein expression of 10% of novel transcripts. We developed a new computational package, LORALS, to analyse the genetic effects of rare and common variants on the transcriptome by allele-specific analysis of long reads. We characterized allele-specific expression and transcript structure events, providing new 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 the 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 used this dataset to enhance variant interpretation and study rare variants leading to aberrant splicing patterns.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35922509     DOI: 10.1038/s41586-022-05035-y

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  54 in total

1.  Improving genetic diagnosis in Mendelian disease with transcriptome sequencing.

Authors:  Beryl B Cummings; Jamie L Marshall; Taru Tukiainen; Monkol Lek; Sandra Donkervoort; A Reghan Foley; Veronique Bolduc; Leigh B Waddell; Sarah A Sandaradura; Gina L O'Grady; Elicia Estrella; Hemakumar M Reddy; Fengmei Zhao; Ben Weisburd; Konrad J Karczewski; Anne H O'Donnell-Luria; Daniel Birnbaum; Anna Sarkozy; Ying Hu; Hernan Gonorazky; Kristl Claeys; Himanshu Joshi; Adam Bournazos; Emily C Oates; Roula Ghaoui; Mark R Davis; Nigel G Laing; Ana Topf; Peter B Kang; Alan H Beggs; Kathryn N North; Volker Straub; James J Dowling; Francesco Muntoni; Nigel F Clarke; Sandra T Cooper; Carsten G Bönnemann; Daniel G MacArthur
Journal:  Sci Transl Med       Date:  2017-04-19       Impact factor: 17.956

Review 2.  Piercing the dark matter: bioinformatics of long-range sequencing and mapping.

Authors:  Fritz J Sedlazeck; Hayan Lee; Charlotte A Darby; Michael C Schatz
Journal:  Nat Rev Genet       Date:  2018-06       Impact factor: 53.242

3.  Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS.

Authors:  Dan L Nicolae; Eric Gamazon; Wei Zhang; Shiwei Duan; M Eileen Dolan; Nancy J Cox
Journal:  PLoS Genet       Date:  2010-04-01       Impact factor: 5.917

4.  Benchmarking of the Oxford Nanopore MinION sequencing for quantitative and qualitative assessment of cDNA populations.

Authors:  Spyros Oikonomopoulos; Yu Chang Wang; Haig Djambazian; Dunarel Badescu; Jiannis Ragoussis
Journal:  Sci Rep       Date:  2016-08-24       Impact factor: 4.379

5.  Genetic diagnosis of Mendelian disorders via RNA sequencing.

Authors:  Laura S Kremer; Daniel M Bader; Christian Mertes; Robert Kopajtich; Garwin Pichler; Arcangela Iuso; Tobias B Haack; Elisabeth Graf; Thomas Schwarzmayr; Caterina Terrile; Eliška Koňaříková; Birgit Repp; Gabi Kastenmüller; Jerzy Adamski; Peter Lichtner; Christoph Leonhardt; Benoit Funalot; Alice Donati; Valeria Tiranti; Anne Lombes; Claude Jardel; Dieter Gläser; Robert W Taylor; Daniele Ghezzi; Johannes A Mayr; Agnes Rötig; Peter Freisinger; Felix Distelmaier; Tim M Strom; Thomas Meitinger; Julien Gagneur; Holger Prokisch
Journal:  Nat Commun       Date:  2017-06-12       Impact factor: 14.919

Review 6.  The Expanding Landscape of Alternative Splicing Variation in Human Populations.

Authors:  Eddie Park; Zhicheng Pan; Zijun Zhang; Lan Lin; Yi Xing
Journal:  Am J Hum Genet       Date:  2018-01-04       Impact factor: 11.025

7.  Expanding the Boundaries of RNA Sequencing as a Diagnostic Tool for Rare Mendelian Disease.

Authors:  Hernan D Gonorazky; Sergey Naumenko; Arun K Ramani; Viswateja Nelakuditi; Pouria Mashouri; Peiqui Wang; Dennis Kao; Krish Ohri; Senthuri Viththiyapaskaran; Mark A Tarnopolsky; Katherine D Mathews; Steven A Moore; Andres N Osorio; David Villanova; Dwi U Kemaladewi; Ronald D Cohn; Michael Brudno; James J Dowling
Journal:  Am J Hum Genet       Date:  2019-02-28       Impact factor: 11.025

Review 8.  Opportunities and challenges in long-read sequencing data analysis.

Authors:  Shanika L Amarasinghe; Shian Su; Xueyi Dong; Luke Zappia; Matthew E Ritchie; Quentin Gouil
Journal:  Genome Biol       Date:  2020-02-07       Impact factor: 13.583

9.  RNA splicing is a primary link between genetic variation and disease.

Authors:  Yang I Li; Bryce van de Geijn; Anil Raj; David A Knowles; Allegra A Petti; David Golan; Yoav Gilad; Jonathan K Pritchard
Journal:  Science       Date:  2016-04-28       Impact factor: 47.728

10.  Comprehensive comparison of Pacific Biosciences and Oxford Nanopore Technologies and their applications to transcriptome analysis.

Authors:  Jason L Weirather; Mariateresa de Cesare; Yunhao Wang; Paolo Piazza; Vittorio Sebastiano; Xiu-Jie Wang; David Buck; Kin Fai Au
Journal:  F1000Res       Date:  2017-02-03
View more
  2 in total

1.  Mapping of promoter usage QTL using RNA-seq data reveals their contributions to complex traits.

Authors:  Naoto Kubota; Mikita Suyama
Journal:  PLoS Comput Biol       Date:  2022-08-29       Impact factor: 4.779

2.  Splicing QTL analysis focusing on coding sequences reveals mechanisms for disease susceptibility loci.

Authors:  Kensuke Yamaguchi; Kazuyoshi Ishigaki; Akari Suzuki; Yumi Tsuchida; Haruka Tsuchiya; Shuji Sumitomo; Yasuo Nagafuchi; Fuyuki Miya; Tatsuhiko Tsunoda; Hirofumi Shoda; Keishi Fujio; Kazuhiko Yamamoto; Yuta Kochi
Journal:  Nat Commun       Date:  2022-08-24       Impact factor: 17.694

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.