Hinsby Anders M, Kiemer Lars, Karlberg E Olof, Lage Kasper, Fausbøll Anders, Juncker Agnieszka S, Andersen Jens S, Mann Matthias, Brunak Søren
Center for Biological Sequence Analysis, BioCentrum-DTU, Technical University of Denmark, DK-2800 Lyngby.
Mol Cell. 2006 Apr 21;22(2):285-95. doi: 10.1016/j.molcel.2006.03.012.
Recent proteomic efforts have created an extensive inventory of the human nucleolar proteome. However, approximately 30% of the identified proteins lack functional annotation. We present an approach of assigning function to uncharacterized nucleolar proteins by data integration coupled to a machine-learning method. By assembling protein complexes, we present a first draft of the human ribosome biogenesis pathway encompassing 74 proteins and hereby assign function to 49 previously uncharacterized proteins. Moreover, the functional diversity of the nucleolus is underlined by the identification of a number of protein complexes with functions beyond ribosome biogenesis. Finally, we were able to obtain experimental evidence of nucleolar localization of 11 proteins, which were predicted by our platform to be associates of nucleolar complexes. We believe other biological organelles or systems could be "wired" in a similar fashion, integrating different types of data with high-throughput proteomics, followed by a detailed biological analysis and experimental validation.
近期的蛋白质组学研究已构建了人类核仁蛋白质组的详尽清单。然而,约30%已鉴定出的蛋白质缺乏功能注释。我们提出了一种通过数据整合与机器学习方法相结合来为未表征的核仁蛋白质赋予功能的方法。通过组装蛋白质复合物,我们呈现了涵盖74种蛋白质的人类核糖体生物发生途径的初稿,从而为49种先前未表征的蛋白质赋予了功能。此外,通过鉴定一些具有核糖体生物发生以外功能的蛋白质复合物,突显了核仁功能的多样性。最后,我们获得了11种蛋白质定位于核仁的实验证据,这些蛋白质是由我们的平台预测为核仁复合物的关联物。我们相信其他生物细胞器或系统也可以以类似的方式“连线”,将不同类型的数据与高通量蛋白质组学相结合,随后进行详细的生物学分析和实验验证。