h0RFeome v3.1: A resource of human open reading frames representing over 10,000 human genes

被引：201

作者：

Lamesch, Philippe

Li, Ning

Milstein, Stuart

Fan, Changyu

Hao, Tong

Szabo, Gabor

Hu, Zhenjun

Venkatesan, Kavitha

Bethel, Graeme

Martin, Paul

Rogers, Jane

Lawlor, Stephanie

McLaren, Stuart

Dricot, Amelie

Borick, Heather

Cusick, Michael E.

Vandenhaute, Jean

Dunham, Ian

Hill, David E. ^{[1
]}

Vidal, Marc

机构：

[1] Harvard Univ, Sch Med, CCSB, Boston, MA 02115 USA

[2] Harvard Univ, Sch Med, Dept Canc Biol, Dana Farber Canc Inst, Boston, MA 02115 USA

[3] Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA

[4] Fac Univ Notre Dame Paix, Unite Rech Biol Mol, B-5000 Namur, Belgium

[5] Univ Notre Dame, Dept Phys, Notre Dame, IN 46556 USA

[6] Univ Notre Dame, Ctr Complex Network Res, Notre Dame, IN 46556 USA

[7] Boston Univ, Dept Biomed Engn, Boston, MA 02115 USA

来源：

GENOMICS | 2007年 / 89卷 / 03期

关键词：

human ORFeome; gateway system; clone resource; MGC collection; nucleotide substitution rate; OMIM; GO slim; visant; hORFDB; high-throughput cloning;

D O I：

10.1016/j.ygeno.2006.11.012

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Complete sets of cloned protein-encoding open reading frames (ORFs), or ORFeomes, tire essential tools for large-scale proteomics and systems biology studies. Here we describe human ORFeome version 3.1 (hORFeome v3.1), Currently the largest publicly available resource of full-length human ORFs (available at www.openbiosystems.com). Generated by Gateway recombinational cloning, this collection contains 12,212 ORFs, representing 10,214 human genes, and corresponds to a 51% expansion of the original hORFeome v1.1. An online human CRFeome database, hORFDB, was built and serves as the central repository for all cloned human ORFs (http://horfdb.dfci.harvard.edu). This expansion of the original ORFeome resource greatly increases the potential experimental search space for large-scale proteomics studies, which will lead to the generation of more comprehensive datasets. (c) 2006 Elsevier Inc. All rights reserved.

引用

页码：307 / 315

页数：9

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