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  Serial interactome capture of the human cell nucleus

Conrad, T., Albrecht, A.-S., Rodrigues de Melo Costa, V., Sauer, S., Meierhofer, D., & Ørom, U. A. (2016). Serial interactome capture of the human cell nucleus. Nature Communications, 7: 7:11212. doi:10.1038/ncomms11212.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-1373-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-1374-2
Genre: Journal Article

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Conrad.pdf (Publisher version), 779KB
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© 2016 Macmillan Publishers Limited

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 Creators:
Conrad, Thomas1, Author              
Albrecht, Anne-Susann2, Author
Rodrigues de Melo Costa, Veronica3, Author
Sauer, Sascha4, Author
Meierhofer, David5, Author              
Ørom, Ulf Andersson1, Author              
Affiliations:
1Long non-coding RNA (Ulf Andersson Ørom), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479659              
2Department of Biochemistry, Free University of Berlin, 14195 Berlin, Germany, ou_persistent22              
3Department of Informatics, Free University of Berlin, 14195 Berlin, Germany, ou_persistent22              
4CU Systems Medicine, 97080 Wu¨rzburg 14195, Germany, ou_persistent22              
5Mass Spectrometry (Head: David Meierhofer), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479669              

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 Abstract: Novel RNA-guided cellular functions are paralleled by an increasing number of RNA-binding proteins (RBPs). Here we present ‘serial RNA interactome capture’ (serIC), a multiple purification procedure of ultraviolet-crosslinked poly(A)–RNA–protein complexes that enables global RBP detection with high specificity. We apply serIC to the nuclei of proliferating K562 cells to obtain the first human nuclear RNA interactome. The domain composition of the 382 identified nuclear RBPs markedly differs from previous IC experiments, including few factors without known RNA-binding domains that are in good agreement with computationally predicted RNA binding. serIC extends the number of DNA–RNA-binding proteins (DRBPs), and reveals a network of RBPs involved in p53 signalling and double-strand break repair. serIC is an effective tool to couple global RBP capture with additional selection or labelling steps for specific detection of highly purified RBPs.

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Language(s): eng - English
 Dates: 2016-04-04
 Publication Status: Published online
 Pages: -
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 Identifiers: DOI: 10.1038/ncomms11212
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Title: Nature Communications
  Abbreviation : Nat. Commun.
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 7 Sequence Number: 7:11212 Start / End Page: - Identifier: ISSN: 2041-1723
CoNE: /journals/resource/2041-1723