Inferring signalling networks from images

The mapping of signalling networks is one of biology’s most important goals. However, given their size, complexity and dynamic nature, obtaining comprehensive descriptions of these networks has proven extremely challenging. A fast and cost-effective means to infer connectivity between genes on a sys...

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Detalles Bibliográficos
Autores principales: Evans, L, Sailem, H, Vargas, P Pascual, Bakal, C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2013
Materias:
Invited Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217379/
https://www.ncbi.nlm.nih.gov/pubmed/23841886
http://dx.doi.org/10.1111/jmi.12062
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author Evans, L
Sailem, H
Vargas, P Pascual
Bakal, C
author_facet Evans, L
Sailem, H
Vargas, P Pascual
Bakal, C
author_sort Evans, L
collection PubMed
description The mapping of signalling networks is one of biology’s most important goals. However, given their size, complexity and dynamic nature, obtaining comprehensive descriptions of these networks has proven extremely challenging. A fast and cost-effective means to infer connectivity between genes on a systems-level is by quantifying the similarity between high-dimensional cellular phenotypes following systematic gene depletion. This review describes the methodology used to map signalling networks using data generated in the context of RNAi screens.
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spelling pubmed-42173792014-11-18 Inferring signalling networks from images Evans, L Sailem, H Vargas, P Pascual Bakal, C J Microsc Invited Reviews The mapping of signalling networks is one of biology’s most important goals. However, given their size, complexity and dynamic nature, obtaining comprehensive descriptions of these networks has proven extremely challenging. A fast and cost-effective means to infer connectivity between genes on a systems-level is by quantifying the similarity between high-dimensional cellular phenotypes following systematic gene depletion. This review describes the methodology used to map signalling networks using data generated in the context of RNAi screens. BlackWell Publishing Ltd 2013-10 2013-07-11 /pmc/articles/PMC4217379/ /pubmed/23841886 http://dx.doi.org/10.1111/jmi.12062 Text en © 2013 The Authors. Journal of Microscopy published by John Wiley & Sons Ltd on behalf of Royal Microscopical Society http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Invited Reviews
Evans, L
Sailem, H
Vargas, P Pascual
Bakal, C
Inferring signalling networks from images
title Inferring signalling networks from images
title_full Inferring signalling networks from images
title_fullStr Inferring signalling networks from images
title_full_unstemmed Inferring signalling networks from images
title_short Inferring signalling networks from images
title_sort inferring signalling networks from images
topic Invited Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4217379/
https://www.ncbi.nlm.nih.gov/pubmed/23841886
http://dx.doi.org/10.1111/jmi.12062
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AT sailemh inferringsignallingnetworksfromimages
AT vargasppascual inferringsignallingnetworksfromimages
AT bakalc inferringsignallingnetworksfromimages

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