Towards a human proteomics atlas
Towards a human proteomics atlas
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DOI：
10.1007/s00216-012-5940-8
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发表时间：
2012-09-01
影响因子：
4.3
通讯作者：
Martens, Lennart
中科院分区：
文献类型：
--
作者：
Gonnelli, Giulia;Hulstaert, Niels;Martens, Lennart
近年来，蛋白质组学研究在生命科学中发挥着越来越重要的作用。由于出版商和资助者的大力推动，社区也开始认真地自由分享其数据，利用公共存储库，如EMBL-EBI非常流行的PRIDE数据库。到目前为止，这些公开数据的重用仅限于相当具体的、有针对性的重新分析，但随着存储库继续呈指数级增长，这种有限的重用将急剧扩大。大规模再利用的例子在其他组学学科中很容易找到，在这些学科中，更全面的公共数据已经积累了更长的时间。在这里，一个典型的例子，综合数据重用提供了所谓的表达地图集的建设。因此，我们在这里调查所涉及的问题，使用目前存储在PRIDE数据库中的人类数据，构建一个强大的，组织特异性的蛋白质表达图谱，从串联MS为基础的无标记定量。
Proteomics research has taken up an increasingly important role in life sciences over the past few years. Due to a strong push from publishers and funders alike, the community has also started to freely share its data in earnest, making use of public repositories such as the highly popular PRIDE database at EMBL-EBI. Reuse of these publicly available data has so far been confined to rather specific, targeted reanalyses, but this limited reuse is set to expand dramatically as repositories continue to grow exponentially. Examples of large-scale reuse are readily found in other omics disciplines, where more comprehensive public data have already accumulated over longer periods. Here, a typical example of integrative data reuse is provided by the construction of so-called expression atlases. We here therefore investigate the issues involved in using the human data currently stored in the PRIDE database to construct a robust, tissue-specific protein expression atlas from tandem-MS based label-free quantification.