Next-generation sequencing to generate interactome datasets

被引：0

作者：

Yu, Haiyuan ^{[1
,2
,3
,4
]}

Tardivo, Leah ^{[1
,2
]}

Tam, Stanley ^{[1
,2
]}

Weiner, Evan ^{[1
,2
]}

Gebreab, Fana ^{[1
,2
]}

Fan, Changyu ^{[1
,2
]}

Svrzikapa, Nenad ^{[1
,2
]}

Hirozane-Kishikawa, Tomoko ^{[1
,2
]}

Rietman, Edward ^{[1
,2
]}

Yang, Xinping ^{[1
,2
]}

Sahalie, Julie ^{[1
,2
]}

Salehi-Ashtiani, Kourosh ^{[1
,2
]}

Hao, Tong ^{[1
,2
]}

Cusick, Michael E. ^{[1
,2
]}

Hill, David E. ^{[1
,2
]}

Roth, Frederick P. ^{[1
,5
]}

Braun, Pascal ^{[1
,2
]}

Vidal, Marc ^{[1
,2
]}

机构：

[1] Dana Farber Canc Inst, Dept Canc Biol, Ctr Canc Syst Biol CCSB, Boston, MA 02115 USA

[2] Harvard Univ, Sch Med, Dept Genet, Boston, MA USA

[3] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY USA

[4] Cornell Univ, Weill Inst Cell & Mol Biol, Ithaca, NY USA

[5] Harvard Univ, Sch Med, Dept Biol Chem & Mol Pharmacol, Boston, MA USA

来源：

NATURE METHODS | 2011年 / 8卷 / 06期

基金：

美国国家卫生研究院;

关键词：

OPEN READING FRAMES; PROTEIN; MAP;

D O I：

10.1038/NMETH.1597

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Next-generation sequencing has not been applied to protein-protein interactome network mapping so far because the association between the members of each interacting pair would not be maintained in en masse sequencing. We describe a massively parallel interactome-mapping pipeline, Stitch-seq, that combines PCRCR stitching with next-generation sequencing and used it to generate a new human interactome dataset. Stitch-seq is applicable to various interaction assays and should help expand interactome network mapping.

引用

页码：478 / U2257

页数：5

共 50 条

[1] Next-generation sequencing to generate interactome datasets
Yu H.
Tardivo L.
Tam S.
Weiner E.
Gebreab F.
Fan C.
Svrzikapa N.
Hirozane-Kishikawa T.
Rietman E.
Yang X.
Sahalie J.
Salehi-Ashtiani K.
Hao T.
Cusick M.E.
Hill D.E.
Roth F.P.
Braun P.
Vidal M.
Nature Methods, 2011, 8 (6) : 478 - 480
[2] Next-Generation Technologies for Multiomics Approaches Including Interactome Sequencing
Ohashi, Hiroyuki
Hasegawa, Mai
Wakimoto, Kentaro
Miyamoto-Sato, Etsuko
BIOMED RESEARCH INTERNATIONAL, 2015, 2015
[3] How to account for the noise in next-generation sequencing datasets?
Ocari, T.
Nemoto, T.
Planul, A.
Tekinsoy, M.
Zin, E. A.
Dalkara, D.
Ferrari, U.
HUMAN GENE THERAPY, 2024, 35 (3-4) : A91 - A91
[4] A Parallel Algorithm for Compression of Big Next-Generation Sequencing Datasets
Perez, Sandino Vargas
Saeed, Fahad
2015 IEEE TRUSTCOM/BIGDATASE/ISPA, VOL 3, 2015, : 196 - 201
[5] Simulating Next-Generation Sequencing Datasets from Empirical Mutation and Sequencing Models
Stephens, Zachary D.
Hudson, Matthew E.
Mainzer, Liudmila S.
Taschuk, Morgan
Weber, Matthew R.
Iyer, Ravishankar K.
PLOS ONE, 2016, 11 (11):
[6] Next-generation sequencing of the next generation
Darren J. Burgess
Nature Reviews Genetics, 2011, 12 : 78 - 79
[7] Next-generation sequencing for next-generation breeding, and more
Tsai, Chung-Jui
NEW PHYTOLOGIST, 2013, 198 (03) : 635 - 637
[8] Next-Generation Sequencing: Next-Generation Quality in Pediatrics
Wortmann, Saskia B.
Spenger, Johannes
Preisel, Martin
Koch, Johannes
Rauscher, Christian
Bader, Ingrid
Mayr, Johannes A.
Sperl, Wolfgang
PADIATRIE UND PADOLOGIE, 2018, 53 (06): : 278 - 283
[9] Next-Generation Sequencing Demands Next-Generation Phenotyping
Hennekam, Raoul C. M.
Biesecker, Leslie G.
HUMAN MUTATION, 2012, 33 (05) : 884 - 886
[10] NGSUtils: a software suite for analyzing and manipulating next-generation sequencing datasets
Breese, Marcus R.
Liu, Yunlong
BIOINFORMATICS, 2013, 29 (04) : 494 - 496

← 1 2 3 4 5 →