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  Protein interaction perturbation profiling at amino-acid resolution

Woodsmith, J., Apelt, L., Casado-Medrano, V., Özkan, Z., Timmermann, B., & Stelzl, U. (2017). Protein interaction perturbation profiling at amino-acid resolution. Nature methods, 14(12), 1213-1221. doi:10.1038/nmeth.4464.

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© 2017 Macmillan Publishers Limited, part of Springer Nature
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 Urheber:
Woodsmith, Jonathan 1, Autor
Apelt, Luise, Autor
Casado-Medrano, Victoria, Autor
Özkan, Ziya , Autor
Timmermann, Bernd2, Autor           
Stelzl, Ulrich1, Autor
Affiliations:
1Institute of Pharmaceutical Sciences, University of Graz and BioTechMed-Graz, Graz, Austria, ou_persistent22              
2Sequencing (Head: Bernd Timmermann), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479670              

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Schlagwörter: Genetic techniques High-throughput screening Mechanisms of disease Protein–protein interaction networks Systems biology
 Zusammenfassung: The identification of genomic variants in healthy and diseased individuals continues to rapidly outpace our ability to functionally annotate these variants. Techniques that both systematically assay the functional consequences of nucleotide-resolution variation and can scale to hundreds of genes are urgently required. We designed a sensitive yeast two-hybrid-based 'off switch' for positive selection of interaction-disruptive variants from complex genetic libraries. Combined with massively parallel programmed mutagenesis and a sequencing readout, this method enables systematic profiling of protein-interaction determinants at amino-acid resolution. We defined >1,000 interaction-disrupting amino acid mutations across eight subunits of the BBSome, the major human cilia protein complex associated with the pleiotropic genetic disorder Bardet–Biedl syndrome. These high-resolution interaction-perturbation profiles provide a framework for interpreting patient-derived mutations across the entire protein complex and thus highlight how the impact of disease variation on interactome networks can be systematically assessed.

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Sprache(n): eng - English
 Datum: 2017-10-16
 Publikationsstatus: Online veröffentlicht
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 Ort, Verlag, Ausgabe: -
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 Identifikatoren: DOI: 10.1038/nmeth.4464
ISSN: 1548-7105 (online) 1548-7091 (print)
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Titel: Nature methods
  Andere : Nature methods
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: New York, NY : Nature Pub. Group
Seiten: - Band / Heft: 14 (12) Artikelnummer: - Start- / Endseite: 1213 - 1221 Identifikator: ISSN: 1548-7091
CoNE: https://pure.mpg.de/cone/journals/resource/111088195279556