Empirically controlled mapping of the Caenorhabditis elegans protein-protein interactome network.
Empirically controlled mapping of the Caenorhabditis elegans protein-protein interactome network.
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DOI:
10.1038/nmeth.1279
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发表时间:
2009-01
期刊:
影响因子:
48
通讯作者:
Vidal, Marc
中科院分区:
文献类型:
--
作者:
Simonis, Nicolas;Rual, Jean-Francois;Carvunis, Anne-Ruxandra;Tasan, Murat;Lemmens, Irma;Hirozane-Kishikawa, Tomoko;Hao, Tong;Sahalie, Julie M.;Venkatesan, Kavitha;Gebreab, Fana;Cevik, Sebiha;Klitgord, Niels;Fan, Changyu;Braun, Pascal;Li, Ning;Ayivi-Guedehoussou, Nono;Dann, Elizabeth;Bertin, Nicolas;Szeto, David;Dricot, Ameli;Yildirim, Muhammed A.;Lin, Chenwei;de Smet, Anne-Sophie;Kao, Huey-Ling;Simon, Christophe;Smolyar, Alex;Ahn, Jin Sook;Tewari, Muneesh;Boxem, Mike;Milstein, Stuart;Yu, Haiyuan;Dreze, Matija;Vandenhaute, Jean;Gunsalus, Kristin C.;Cusick, Michael E.;Hill, David E.;Tavernier, Jan;Roth, Frederick P.;Vidal, Marc
To provide accurate biological hypotheses and inform upon global properties of cellular networks, systematic identification of protein–protein interactions has to meet high-quality standards. We present an expanded Caenorhabditis elegans protein-protein interaction network, or “interactome” map derived from testing a matrix of ~ 10,000 × ~ 10,000 proteins using a highly specific high-throughput yeast two-hybrid system. Through a new quality control empirical framework, We show that the resulting dataset (Worm Interactome 2007 or WI-2007) is similar in quality to low-throughput data curated from the literature. Previous interaction datasets have been filtered and integrated with WI-2007 to generate a high confidence consolidated map (Worm Interactome version 8 or WI8). This work allows us to estimate the size of the worm interactome at ~ 116,000 interactions. Comparison with other types of functional genomic data shows the complementarity of distinct experimental approaches in predicting different functional relationship features between genes or proteins.
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影响因子:
56.9
作者:
Walhout, AJM;Sordella, R;Vidal, M
通讯作者:
Vidal, M
影响因子:
56.9
作者:
Li, SM;Armstrong, CM;Vidal, M
通讯作者:
Vidal, M
影响因子:
7
作者:
Matthews, LR;Vaglio, P;Vidal, M
通讯作者:
Vidal, M
影响因子:
64.8
作者:
Rual, JF;Venkatesan, K;Vidal, M
通讯作者:
Vidal, M
影响因子:
48
作者:
Venkatesan, Kavitha;Rual, Jean-Francois;Vazquez, Alexei;Stelzl, Ulrich;Lemmens, Irma;Hirozane-Kishikawa, Tomoko;Hao, Tong;Zenkner, Martina;Xin, Xiaofeng;Goh, Kwang-Il;Yildirim, Muhammed A.;Simonis, Nicolas;Heinzmann, Kathrin;Gebreab, Fana;Sahalie, Julie M.;Cevik, Sebiha;Simon, Christophe;de Smet, Anne-Sophie;Dann, Elizabeth;Smolyar, Alex;Vinayagam, Arunachalam;Yu, Haiyuan;Szeto, David;Borick, Heather;Dricot, Amelie;Klitgord, Niels;Murray, Ryan R.;Lin, Chenwei;Lalowski, Maciej;Timm, Jan;Rau, Kirstin;Boone, Charles;Braun, Pascal;Cusick, Michael E.;Roth, Frederick P.;Hill, David E.;Tavernier, Jan;Wanker, Erich E.;Barabasi, Albert-Laszlo;Vidal, Marc
通讯作者:
Vidal, Marc