4.8 Article

RNA aptamer capture of macromolecular complexes for mass spectrometry analysis

期刊

NUCLEIC ACIDS RESEARCH
卷 48, 期 15, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa542

关键词

-

资金

  1. National Institutes of Health [5R01GM025232]
  2. USDA Specialty Crops [2015-70016-23028]
  3. USDANational Institute of Food and Agriculture [2018-67011-28018]
  4. USDA ARS project [8062-22410-006-00-D]
  5. NIGMS [5R01GM025232]

向作者/读者索取更多资源

Specific genomic functions are dictated by macromolecular complexes (MCs) containing multiple proteins. Affinity purification of these complexes, often using antibodies, followed by mass spectrometry (MS) has revolutionized our ability to identify the composition of MCs. However, conventional immunoprecipitations suffer from contaminating antibody/serum-derived peptides that limit the sensitivity of detection for low-abundant interacting partners using MS. Here, we present AptA-MS (aptamer affinity-mass spectrometry), a robust strategy primarily using a specific, high-affinity RNA aptamer against Green Fluorescent Protein (GFP) to identify interactors of a GFP-tagged protein of interest by high-resolution MS. Utilizing this approach, we have identified the known molecular chaperones that interact with human Heat Shock Factor 1 (HSF1), and observed an increased association with several proteins upon heat shock, including translation elongation factors and histones. HSF1 is known to be regulated by multiple post-translational modifications (PTMs), and we observe both known and new sites of modifications on HSF1. We show that AptA-MS provides a dramatic target enrichment and detection sensitivity in evolutionarily diverse organisms and allows identification of PTMs without the need for modification-specific enrichments. In combination with the expanding libraries of GFP-tagged cell lines, this strategy offers a general, inexpensive, and high-resolution alternative to conventional approaches for studying MCs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据