Inferring signalling networks from images

Summary 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 g...

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Bibliographic Details
Published inJournal of microscopy (Oxford) Vol. 252; no. 1; pp. 1 - 7
Main Authors EVANS, L., SAILEM, H., VARGAS, P. PASCUAL, BAKAL, C.
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 01.10.2013
BlackWell Publishing Ltd
Subjects
Animals
Cell Physiological Phenomena
Cells, Cultured
Cytological Techniques - methods
Depletion
Descriptions
Drosophila
Gene expression
Gene Silencing
Genes
Heterogeneity
image analysis
Image Processing, Computer-Assisted - methods
Invited Reviews
Microscopy
Microscopy - methods
morphological signatures
Networks
RNAi
Signal Transduction
Signalling
signalling networks
Similarity
Heterogeneity
signalling networks
RNAi
morphological signatures
image analysis
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Summary:Summary 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.
Bibliography:These authors contributed equally to this work.
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ISSN:0022-2720
1365-2818
DOI:10.1111/jmi.12062