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  Systems survey of endocytosis by multiparametric image analysis.

Collinet, C., Stöter, M., Bradshaw, C. R., Samusik, N., Rink, J. C., Kenski, D., et al. (2010). Systems survey of endocytosis by multiparametric image analysis. Nature, 464(7286), 243-249. doi:10.1038/nature08779.

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Collinet, C., Author
Stöter, M., Author
Bradshaw, C. R., Author
Samusik, N., Author
Rink, J. C.1, Author           
Kenski, D., Author
Habermann, B., Author
Buchholz, F., Author
Henschel, R., Author
Mueller, M. S., Author
Nagel, W. E., Author
Fava, E., Author
Kalaidzidis, Y., Author
Zerial, M., Author
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1Department of Tissue Dynamics and Regeneration, MPI for Biophysical Chemistry, Max Planck Society, ou_3181978              

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 Abstract: 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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Language(s): eng - English
 Dates: 2010-02-282010
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/nature08779
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Title: Nature
Source Genre: Journal
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Pages: - Volume / Issue: 464 (7286) Sequence Number: - Start / End Page: 243 - 249 Identifier: -