jMorp: Japanese Multi Omics Reference Panel.
jMorp: Japanese Multi Omics Reference Panel.
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DOI：
10.1093/nar/gkx978
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发表时间：
2018-01-04
影响因子：
14.9
通讯作者：
Kinoshita K
中科院分区：
文献类型：
--
作者：
Tadaka S;Saigusa D;Motoike IN;Inoue J;Aoki Y;Shirota M;Koshiba S;Yamamoto M;Kinoshita K
我们开发了jMorp，这是一个新的数据库，包含来自Tohoku Medical Megabank队列研究的> 5000名健康日本志愿者的血浆代谢组和蛋白质组数据，可在www.example.com上获得。通过质子核磁共振（NMR）和液相色谱-质谱（LC-MS）测量代谢组数据，而通过nanoLC-MS获得蛋白质组数据。我们发布了37个代谢产物的NMR鉴定的浓度分布，257个特征代谢产物的LC-MS峰强度分布，并观察了256个丰富蛋白质的频率。此外，可以使用交互式网络查看器观察代谢物的相关网络。与一些现有的数据库相比，jMorp具有一些独特的功能：（i）代谢物组数据是在一个研究所使用单一协议获得的，确保测量偏差显着最小化;（ii）数据库包含健康志愿者的大规模数据，具有各种健康记录和基因组数据;（iii）代谢物之间的相关性可以很容易地使用图形查看器观察。代谢数据正在成为评估人类健康状况的重要中间标记，因此jMorp是广泛研究人员的优秀资源，特别是医学科学，应用分子生物学和生物化学领域的研究人员。
We developed jMorp, a new database containing metabolome and proteome data for plasma obtained from >5000 healthy Japanese volunteers from the Tohoku Medical Megabank Cohort Study, which is available at https://jmorp.megabank.tohoku.ac.jp. Metabolome data were measured by proton nuclear magnetic resonance (NMR) and liquid chromatography–mass spectrometry (LC–MS), while proteome data were obtained by nanoLC–MS. We released the concentration distributions of 37 metabolites identified by NMR, distributions of peak intensities of 257 characterized metabolites by LC–MS, and observed frequencies of 256 abundant proteins. Additionally, correlation networks for the metabolites can be observed using an interactive network viewer. Compared with some existing databases, jMorp has some unique features: (i) Metabolome data were obtained using a single protocol in a single institute, ensuring that measurement biases were significantly minimized; (ii) The database contains large-scale data for healthy volunteers with various health records and genome data and (iii) Correlations between metabolites can be easily observed using the graphical viewer. Metabolites data are becoming important intermediate markers for evaluating the health states of humans, and thus jMorp is an outstanding resource for a wide range of researchers, particularly those in the fields of medical science, applied molecular biology, and biochemistry.
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影响因子：
14.9
作者：
Haug K;Salek RM;Conesa P;Hastings J;de Matos P;Rijnbeek M;Mahendraker T;Williams M;Neumann S;Rocca-Serra P;Maguire E;González-Beltrán A;Sansone SA;Griffin JL;Steinbeck C
通讯作者：
Steinbeck C
影响因子：
2.9
作者：
Tigchelaar, Ettje F.;Zhernakova, Alexandra;Feskens, Edith J. M.
通讯作者：
Feskens, Edith J. M.
影响因子：
4.6
作者：
Koshiba S;Motoike I;Kojima K;Hasegawa T;Shirota M;Saito T;Saigusa D;Danjoh I;Katsuoka F;Ogishima S;Kawai Y;Yamaguchi-Kabata Y;Sakurai M;Hirano S;Nakata J;Motohashi H;Hozawa A;Kuriyama S;Minegishi N;Nagasaki M;Takai-Igarashi T;Fuse N;Kiyomoto H;Sugawara J;Suzuki Y;Kure S;Yaegashi N;Tanabe O;Kinoshita K;Yasuda J;Yamamoto M
通讯作者：
Yamamoto M
影响因子：
14.9
作者：
Wishart DS;Jewison T;Guo AC;Wilson M;Knox C;Liu Y;Djoumbou Y;Mandal R;Aziat F;Dong E;Bouatra S;Sinelnikov I;Arndt D;Xia J;Liu P;Yallou F;Bjorndahl T;Perez-Pineiro R;Eisner R;Allen F;Neveu V;Greiner R;Scalbert A
通讯作者：
Scalbert A
影响因子：
1.5
作者：
Yamaguchi-Kabata Y;Nariai N;Kawai Y;Sato Y;Kojima K;Tateno M;Katsuoka F;Yasuda J;Yamamoto M;Nagasaki M
通讯作者：
Nagasaki M