METHODOLOGY: To uncover genetic dependencies in breast cancer cells that harbor active beta-catenin signaling, we performed RNAi-based loss-of-function screens in breast cancer cell lines in which we had characterized beta-catenin activity.
To uncover genetic dependencies in breast cancer cells that harbor active β-catenin signaling, we performed RNAi-based loss-of-function screens in breast cancer cell lines in which we had characterized β-catenin activity.
An important challenge in cancer systems biology is to uncover complex dependencies between genes implicated in cancer.
In essence, our method aims to uncover the dependencies between subcellular processes as well as the temporal ordering of the events associated with these processes.
As a consequence, we need statistical methods that increase the power to uncover genotype phenotype dependencies by combining information over several related phenotypes (Ferreira and Purcell, 2009; Inouye et al., 2012; O'Reilly et al., 2012).
KAR therefore helps uncover kinase dependency that may be overlooked if only focusing on the commonly reported drug targets.
In addition, we develop a novel hierarchical model to uncover inter-cycle dependencies, and we find evidence for such dependencies in cells growing in sugar-poor environments.
There is still the need of a well articulated set of experiments that attempt to uncover the complex set of dependencies among task requirements, physical object properties, neuromuscular features, multimodal sensory feedback, control mechanisms, and motor cognitive processes.
In this study we performed an exhaustive coevolutionary analysis using an extensive bacterial phylogeny to uncover the evolutionary, hence functional, dependencies among amino acid residues within GroES, GroEL and between both these proteins.
The current work uncovers specific dependencies and responses.
