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  Systems survey of endocytosis by multiparametric image analysis.

Collinet, C., Stöter, M., Bradshaw, C. R., Samusik, N., Rink, J., Kenski, D., et al. (2010). Systems survey of endocytosis by multiparametric image analysis. Nature, 464(7286), 243-249.

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Collinet, Claudio1, Autor           
Stöter, Martin1, Autor           
Bradshaw, Charles R.1, Autor           
Samusik, Nikolay1, Autor           
Rink, Jochen1, Autor           
Kenski, Denise1, Autor           
Habermann, Bianca1, Autor           
Buchholz, Frank1, Autor           
Henschel, Robert2, Autor
Mueller, Matthias S, Autor
Nagel, Wolfgang E, Autor
Fava, Eugenio1, Autor           
Kalaidzidis, Yannis1, Autor           
Zerial, Marino1, Autor           
Affiliations:
1Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              
2Max Planck Society, ou_persistent13              

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 Zusammenfassung: Endocytosis is a complex process fulfilling many cellular and developmental functions. Understanding how it is regulated and integrated with other cellular processes requires a comprehensive analysis of its molecular constituents and general design principles. Here, we developed a new strategy to phenotypically profile the human genome with respect to transferrin (TF) and epidermal growth factor (EGF) endocytosis by combining RNA interference, automated high-resolution confocal microscopy, quantitative multiparametric image analysis and high-performance computing. We identified several novel components of endocytic trafficking, including genes implicated in human diseases. We found that signalling pathways such as Wnt, integrin/cell adhesion, transforming growth factor (TGF)-beta and Notch regulate the endocytic system, and identified new genes involved in cargo sorting to a subset of signalling endosomes. A systems analysis by Bayesian networks further showed that the number, size, concentration of cargo and intracellular position of endosomes are not determined randomly but are subject to specific regulation, thus uncovering novel properties of the endocytic system.

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 Datum: 2010
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Identifikatoren: eDoc: 546713
Anderer: 4175
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Titel: Nature
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 464 (7286) Artikelnummer: - Start- / Endseite: 243 - 249 Identifikator: -