Publikationsdatum:
2010-03-02
Beschreibung:
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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Collinet, Claudio -- Stoter, Martin -- Bradshaw, Charles R -- Samusik, Nikolay -- Rink, Jochen C -- Kenski, Denise -- Habermann, Bianca -- Buchholz, Frank -- Henschel, Robert -- Mueller, Matthias S -- Nagel, Wolfgang E -- Fava, Eugenio -- Kalaidzidis, Yannis -- Zerial, Marino -- England -- Nature. 2010 Mar 11;464(7286):243-9. doi: 10.1038/nature08779. Epub 2010 Feb 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Max Planck Institute for Molecular Cell Biology and Genetics, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20190736" target="_blank"〉PubMed〈/a〉
Schlagwort(e):
Computing Methodologies
;
Endocytosis/*physiology
;
Endosomes/metabolism
;
Epidermal Growth Factor/metabolism
;
Gene Expression Profiling/*methods
;
Genome-Wide Association Study
;
Humans
;
*Image Processing, Computer-Assisted
;
Metabolic Networks and Pathways/physiology
;
Microscopy, Confocal
;
Phenotype
;
Protein Transport/physiology
;
RNA Interference
;
Signal Transduction/physiology
;
Transferrin/metabolism
Print ISSN:
0028-0836
Digitale ISSN:
1476-4687
Thema:
Biologie
,
Chemie und Pharmazie
,
Medizin
,
Allgemeine Naturwissenschaft
,
Physik
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