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]](https://bibbase.org/img/filetypes/link.svg "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 = {Bayesian analysis; gene; genome; image analysis;,Computer-Assisted; Metabolic Networks and Pathway,Computing Methodologies; Endocytosis; Endosomes;,Confocal; Phenotype; Protein Transport; RNA Inter,article; Bayes theorem; confocal microscopy; endo,cell adhesion molecule; epidermal growth factor; i},
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},
id = {7801d0a7-4679-336b-b893-8d8080b9acf4},
created = {2018-02-27T18:07:28.010Z},
file_attached = {false},
profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
group_id = {27e0553c-8ec0-31bd-b42c-825b8a5a9ae8},
last_modified = {2018-02-27T18:07:28.010Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {Collinet2010243},
source_type = {article},
notes = {cited By 236},
private_publication = {false},
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}
}
Downloads: 0
{"_id":"NYxHsvseDhmgEEpwN","bibbaseid":"collinet-stter-bradshaw-samusik-rink-kenski-habermann-buchholz-etal-systemssurveyofendocytosisbymultiparametricimageanalysis-2010","downloads":0,"creationDate":"2018-03-12T19:10:27.171Z","title":"Systems survey of endocytosis by multiparametric image analysis","author_short":["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."],"year":2010,"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/42d295c0-0737-38d6-8b43-508cab6ea85d","bibdata":{"title":"Systems survey of endocytosis by multiparametric image analysis","type":"article","year":"2010","keywords":"Bayesian analysis; gene; genome; image analysis;,Computer-Assisted; Metabolic Networks and Pathway,Computing Methodologies; Endocytosis; Endosomes;,Confocal; Phenotype; Protein Transport; RNA Inter,article; Bayes theorem; confocal microscopy; endo,cell adhesion molecule; epidermal growth factor; i","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","id":"7801d0a7-4679-336b-b893-8d8080b9acf4","created":"2018-02-27T18:07:28.010Z","file_attached":false,"profile_id":"42d295c0-0737-38d6-8b43-508cab6ea85d","group_id":"27e0553c-8ec0-31bd-b42c-825b8a5a9ae8","last_modified":"2018-02-27T18:07:28.010Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Collinet2010243","source_type":"article","notes":"cited By 236","private_publication":false,"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","bibtex":"@article{\n title = {Systems survey of endocytosis by multiparametric image analysis},\n type = {article},\n year = {2010},\n keywords = {Bayesian analysis; gene; genome; image analysis;,Computer-Assisted; Metabolic Networks and Pathway,Computing Methodologies; Endocytosis; Endosomes;,Confocal; Phenotype; Protein Transport; RNA Inter,article; Bayes theorem; confocal microscopy; endo,cell adhesion molecule; epidermal growth factor; i},\n pages = {243-249},\n volume = {464},\n websites = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949424084&doi=10.1038%2Fnature08779&partnerID=40&md5=ea02851128c73be61c7e47eb4f125acf},\n id = {7801d0a7-4679-336b-b893-8d8080b9acf4},\n created = {2018-02-27T18:07:28.010Z},\n file_attached = {false},\n profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},\n group_id = {27e0553c-8ec0-31bd-b42c-825b8a5a9ae8},\n last_modified = {2018-02-27T18:07:28.010Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Collinet2010243},\n source_type = {article},\n notes = {cited By 236},\n private_publication = {false},\n 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.},\n bibtype = {article},\n 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},\n doi = {10.1038/nature08779},\n journal = {Nature},\n number = {7286}\n}","author_short":["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."],"urls":{"Website":"https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949424084&doi=10.1038%2Fnature08779&partnerID=40&md5=ea02851128c73be61c7e47eb4f125acf"},"biburl":"https://bibbase.org/service/mendeley/42d295c0-0737-38d6-8b43-508cab6ea85d","bibbaseid":"collinet-stter-bradshaw-samusik-rink-kenski-habermann-buchholz-etal-systemssurveyofendocytosisbymultiparametricimageanalysis-2010","role":"author","keyword":["Bayesian analysis; gene; genome; image analysis;","Computer-Assisted; Metabolic Networks and Pathway","Computing Methodologies; Endocytosis; Endosomes;","Confocal; Phenotype; Protein Transport; RNA Inter","article; Bayes theorem; confocal microscopy; endo","cell adhesion molecule; epidermal growth factor; i"],"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["systems","survey","endocytosis","multiparametric","image","analysis","collinet","stöter","bradshaw","samusik","rink","kenski","habermann","buchholz","henschel","mueller","nagel","fava","kalaidzidis","zerial"],"keywords":["bayesian analysis; gene; genome; image analysis;","computer-assisted; metabolic networks and pathway","computing methodologies; endocytosis; endosomes;","confocal; phenotype; protein transport; rna inter","article; bayes theorem; confocal microscopy; endo","cell adhesion molecule; epidermal growth factor; i"],"authorIDs":[],"dataSources":["zgahneP4uAjKbudrQ","ya2CyA73rpZseyrZ8","2252seNhipfTmjEBQ"]}