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  Landscape of nuclear transport receptor cargo specificity

Mackmull, M.-T., Klaus, B., Heinze, I., Chokkalingam, M., Beyer, A., Russell, R. B., et al. (2017). Landscape of nuclear transport receptor cargo specificity. Molecular Systems Biology, 13(12): 962. doi:10.15252/msb.20177608.

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 Creators:
Mackmull, Marie-Therese1, Author
Klaus, Bernd1, Author
Heinze, Ivonne1, Author
Chokkalingam, Manopriya1, Author
Beyer, Andreas1, Author
Russell, Robert B.1, Author
Ori, Alessandro1, Author
Beck, Martin2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany, ou_persistent22              

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Free keywords: Active Transport, Cell Nucleus, Biotinylation, Cell Nucleus, Gene Ontology, Humans, interaction network, Mutation, Nuclear Localization Signals, nuclear pore complex, Peptides, Protein Binding, Protein Subunits, protein transport, Proteome, proteomics, proximity ligation, Receptors, Cytoplasmic and Nuclear, Reproducibility of Results, RNA, Small Interfering, Statistics as Topic, Subcellular Fractions
 Abstract: Nuclear transport receptors (NTRs) recognize localization signals of cargos to facilitate their passage across the central channel of nuclear pore complexes (NPCs). About 30 different NTRs constitute different transport pathways in humans and bind to a multitude of different cargos. The exact cargo spectrum of the majority of NTRs, their specificity and even the extent to which active nucleocytoplasmic transport contributes to protein localization remains understudied because of the transient nature of these interactions and the wide dynamic range of cargo concentrations. To systematically map cargo-NTR relationships in situ, we used proximity ligation coupled to mass spectrometry (BioID). We systematically fused the engineered biotin ligase BirA* to 16 NTRs. We estimate that a considerable fraction of the human proteome is subject to active nuclear transport. We quantified the specificity and redundancy in NTR interactions and identified transport pathways for cargos. We extended the BioID method by the direct identification of biotinylation sites. This approach enabled us to identify interaction interfaces and to discriminate direct versus piggyback transport mechanisms. Data are available via ProteomeXchange with identifier PXD007976.

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Language(s): eng - English
 Dates: 2017-10-232017-03-032017-11-102017-12-18
 Publication Status: Published online
 Pages: 20
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.15252/msb.20177608
BibTex Citekey: mackmull_landscape_2017
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Title: Molecular Systems Biology
Source Genre: Journal
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Publ. Info: London : Nature Pub. Group
Pages: - Volume / Issue: 13 (12) Sequence Number: 962 Start / End Page: - Identifier: ISSN: 1744-4292
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000021290