A draft map of the human proteome.
A draft map of the human proteome.
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DOI：
10.1038/nature13302
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发表时间：
2014-05-29
期刊：
影响因子：
64.8
通讯作者：
Pandey, Akhilesh
中科院分区：
文献类型：
--
作者：
Kim, Min-Sik;Pinto, Sneha M.;Getnet, Derese;Nirujogi, Raja Sekhar;Manda, Srikanth S.;Chaerkady, Raghothama;Madugundu, Anil K.;Kelkar, Dhanashree S.;Isserlin, Ruth;Jain, Shobhit;Thomas, Joji K.;Muthusamy, Babylakshmi;Leal-Rojas, Pamela;Kumar, Praveen;Sahasrabuddhe, Nandini A.;Balakrishnan, Lavanya;Advani, Jayshree;George, Bijesh;Renuse, Santosh;Selvan, Lakshmi Dhevi N.;Patil, Arun H.;Nanjappa, Vishalakshi;Radhakrishnan, Aneesha;Prasad, Samarjeet;Subbannayya, Tejaswini;Raju, Rajesh;Kumar, Manish;Sreenivasamurthy, Sreelakshmi K.;Marimuthu, Arivusudar;Sathe, Gajanan J.;Chavan, Sandip;Datta, Keshava K.;Subbannayya, Yashwanth;Sahu, Apeksha;Yelamanchi, Soujanya D.;Jayaram, Savita;Rajagopalan, Pavithra;Sharma, Jyoti;Murthy, Krishna R.;Syed, Nazia;Goel, Renu;Khan, Aafaque A.;Ahmad, Sartaj;Dey, Gourav;Mudgal, Keshav;Chatterjee, Aditi;Huang, Tai-Chung;Zhong, Jun;Wu, Xinyan;Shaw, Patrick G.;Freed, Donald;Zahari, Muhammad S.;Mukherjee, Kanchan K.;Shankar, Subramanian;Mahadevan, Anita;Lam, Henry;Mitchell, Christopher J.;Shankar, Susarla Krishna;Satishchandra, Parthasarathy;Schroeder, John T.;Sirdeshmukh, Ravi;Maitra, Anirban;Leach, Steven D.;Drake, Charles G.;Halushka, Marc K.;Prasad, T. S. Keshava;Hruban, Ralph H.;Kerr, Candace L.;Bader, Gary D.;Iacobuzio-Donahue, Christine A.;Gowda, Harsha;Pandey, Akhilesh
人类基因组序列的可获得性在过去十年中改变了生物医学研究。然而，人类蛋白质组的等值图谱与蛋白质和多肽的直接测量还不存在。在这里，我们提出了一张利用高分辨率傅里叶变换质谱学绘制的人类蛋白质组草图。对30个组织学正常的人类样本进行了深入的蛋白质组学分析，其中包括17个成人组织、7个胎儿组织和6个纯化的原代造血细胞，结果鉴定出17,294个基因编码的蛋白质，占人类蛋白质编码基因总数的84%。一种独特而全面的蛋白质基因组分析策略使我们能够发现许多新的蛋白质编码区，其中包括翻译的假基因、非编码RNA和上游ORF。这一大型人类蛋白质组目录(可在http://www.humanproteomemap.org)上作为基于网络的交互式资源获得)将补充现有的人类基因组和转录组数据，以加速健康和疾病方面的生物医学研究。
The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here, we present a draft map of the human proteome using high resolution Fourier transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells resulted in identification of proteins encoded by 17,294 genes accounting for ~84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream ORFs. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease.
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影响因子：
64.5
作者：
Huttlin EL;Jedrychowski MP;Elias JE;Goswami T;Rad R;Beausoleil SA;Villén J;Haas W;Sowa ME;Gygi SP
通讯作者：
Gygi SP
影响因子：
4.4
作者：
Craig, R;Cortens, JP;Beavis, RC
通讯作者：
Beavis, RC
影响因子：
5.8
作者：
Craig, R;Beavis, RC
通讯作者：
Beavis, RC
影响因子：
64.5
作者：
Kalyana-Sundaram S;Kumar-Sinha C;Shankar S;Robinson DR;Wu YM;Cao X;Asangani IA;Kothari V;Prensner JR;Lonigro RJ;Iyer MK;Barrette T;Shanmugam A;Dhanasekaran SM;Palanisamy N;Chinnaiyan AM
通讯作者：
Chinnaiyan AM
DOI：
10.1074/mcp.m111.013722
发表时间：
2012-03
期刊：
Molecular & cellular proteomics : MCP
影响因子：
--
作者：
Nagaraj N;Kulak NA;Cox J;Neuhauser N;Mayr K;Hoerning O;Vorm O;Mann M
通讯作者：
Mann M