Systems survey of endocytosis by multiparametric image analysis.

Collinet, C.; Stöter, M.; Bradshaw, C. R.; Samusik, N.; Rink, J. C.; Kenski, D.; Habermann, B.; Buchholz, F.; Henschel, R.; Mueller, M. S.; Nagel, W. E.; Fava, E.; Kalaidzidis, Y.; Zerial, M.

doi:10.1038/nature08779

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Systems survey of endocytosis by multiparametric image analysis.

MPS-Authors

/persons/resource/persons243394

Rink, J. C.
Department of Tissue Dynamics and Regeneration, MPI for Biophysical Chemistry, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

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.

Cite as: https://hdl.handle.net/21.11116/0000-0005-ADAA-9

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.