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. Nature, 464(7286):243-249, 2010.
Systems survey of endocytosis by multiparametric image analysis [link]Website  doi  abstract   bibtex   
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)-Β 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. © 2010 Macmillan Publishers Limited. All rights reserved.
@article{
 title = {Systems survey of endocytosis by multiparametric image analysis},
 type = {article},
 year = {2010},
 keywords = {Bayes theorem,Bayesian analysis,Computer-Assisted,Computing Methodologies,Confocal,Endocytosis,Endosomes,Metabolic Networks and Pathway,Phenotype,Protein Transport,RNA Inter,article,cell adhesion molecule,confocal microscopy,endo,epidermal growth factor,gene,genome,i,image analysis},
 pages = {243-249},
 volume = {464},
 websites = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949424084&doi=10.1038%2Fnature08779&partnerID=40&md5=ea02851128c73be61c7e47eb4f125acf},
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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)-Β 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. © 2010 Macmillan Publishers Limited. All rights reserved.},
 bibtype = {article},
 author = {Collinet, C and Stöter, M and Bradshaw, C R and Samusik, N and Rink, J C and Kenski, D and Habermann, B and Buchholz, F and Henschel, R and Mueller, M S and Nagel, W E and Fava, E and Kalaidzidis, Y and Zerial, M},
 doi = {10.1038/nature08779},
 journal = {Nature},
 number = {7286}
}

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