A honey bee (Apis mellifera L.) PeptideAtlas crossing castes and tissues.
A honey bee (Apis mellifera L.) PeptideAtlas crossing castes and tissues.
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DOI：
10.1186/1471-2164-12-290
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发表时间：
2011-06-03
期刊：
影响因子：
4.4
通讯作者：
Foster LJ
中科院分区：
文献类型：
--
作者：
Chan QW;Parker R;Sun Z;Deutsch EW;Foster LJ
蜜蜂是农业的支柱，通过授粉活动贡献了数十亿美元。几十年来，蜜蜂一直是社会性和群体行为的模型系统，但直到最近，分子技术才被用于研究这种迷人而有价值的生物。随着2006年第一份基因组草图的发布，蜜蜂的蛋白质组学变得可行，在过去的五年里，我们已经积累了超过5E+6 MS/MS谱。缺乏一个统一的平台来组织这一庞大的资源，妨碍了我们和其他人最大限度地挖掘信息的能力。在这里，我们介绍了蜜蜂肽图谱，一个基于网络的资源，用于可视化实验中的质谱数据，在可能的情况下提供蛋白质描述和基因本体注释。我们预计，这将有助于规划蛋白质组学实验，特别是在选择的过渡选择反应监测。通过蛋白基因组学的努力，我们已经使用MS/MS数据来锚以前未描述的基因的注释，并重新注释以前的基因模型，以改善目前的基因组注释。蜜蜂肽图谱将有助于提高蜜蜂蛋白质组学的效率，并加速我们对这一物种的了解。这个可公开访问的交互式数据库是当前和未来质谱数据分析的重要框架。
Honey bees are a mainstay of agriculture, contributing billions of dollars through their pollination activities. Bees have been a model system for sociality and group behavior for decades but only recently have molecular techniques been brought to study this fascinating and valuable organism. With the release of the first draft of its genome in 2006, proteomics of bees became feasible and over the past five years we have amassed in excess of 5E+6 MS/MS spectra. The lack of a consolidated platform to organize this massive resource hampers our ability, and that of others, to mine the information to its maximum potential. Here we introduce the Honey Bee PeptideAtlas, a web-based resource for visualizing mass spectrometry data across experiments, providing protein descriptions and Gene Ontology annotations where possible. We anticipate that this will be helpful in planning proteomics experiments, especially in the selection of transitions for selected reaction monitoring. Through a proteogenomics effort, we have used MS/MS data to anchor the annotation of previously undescribed genes and to re-annotate previous gene models in order to improve the current genome annotation. The Honey Bee PeptideAtlas will contribute to the efficiency of bee proteomics and accelerate our understanding of this species. This publicly accessible and interactive database is an important framework for the current and future analysis of mass spectrometry data.
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影响因子：
3.4
作者：
Deutsch, Eric W.;Mendoza, Luis;Shteynberg, David;Farrah, Terry;Lam, Henry;Tasman, Natalie;Sun, Zhi;Nilsson, Erik;Pratt, Brian;Prazen, Bryan;Eng, Jimmy K.;Martin, Daniel B.;Nesvizhskii, Alexey I.;Aebersold, Ruedi
通讯作者：
Aebersold, Ruedi
影响因子：
5.8
作者：
Craig, R;Beavis, RC
通讯作者：
Beavis, RC
影响因子：
3.7
作者：
Parker R;Melathopoulos AP;White R;Pernal SF;Guarna MM;Foster LJ
通讯作者：
Foster LJ
影响因子：
5.8
作者：
Conesa, A;Götz, S;Robles, M
通讯作者：
Robles, M
影响因子：
4.4
作者：
Chan QW;Melathopoulos AP;Pernal SF;Foster LJ
通讯作者：
Foster LJ