A single gene network accurately predicts phenotypic effects of gene perturbation in Caenorhabditis elegans
By Insuk Lee, Ben Lehner, Catriona Crombie, Wendy S. W. Wong, Andrew G. Fraser, Edward M. Marcotte. Nature Genetics, 2008
309 citations recorded by the source corpus.
Subfields: Aging, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/fef4bbf6e9bdb5522d1bbf39c174f6b3bc175aff
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Citations in the corpus
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “…pathways • Gene Ontology terms • Small molecule (drug) • Species An integrated bio-entity network Bell et al., 2011 • Disease • Adjacent members of metabolic pathways Metabolic pathway-corrected human disease network Lee et al., 2008a • Disease • MicroRNA MicroRNA/disease association-based…”
- Network-based global inference of human disease genes (2008, background): “Aside from human disease, recent large-scale studies in yeast (Fraser and Plotkin, 2007; McGary et al , 2007) and worm (Lee et al , 2008) also support the idea that genes sharing mutant phenotype are tightly linked in the network.”
- Characterising and Predicting Haploinsufficiency in the Human Genome (2010, methodology): “Shortest path distance and sum of weight of interactions [41] were calculated as measures of proximity to a group of ‘seed’ genes.”
- Rare de novo variants associated with autism implicate a large functional network of genes involved in formation and function of synapses (2011, methodology): “Importantly, although similar in spirit to integrative methods that have been used previously to build functional networks in several model species (Lee et al., 2004, 2008), the edges in our network represent the likelihood to participate in the same genetic phenotype rather than share a functional…”
- Global Functional Atlas of Escherichia coli Encompassing Previously Uncharacterized Proteins (2009, background): “Since the biological role of a protein is not necessarily reflected in its primary sequence, the elucidation of molecular interaction networks can provide an alternate perspective even in the absence of detailed phenotypic data [16,71].”
- Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015, methodology): “The Network-Based Analysis of Genes (NETBAG) 127 approach combines multiple forms of literature-curated data using an integrated network approach that has been demonstrated to be effective for predicting gene essentiality in yeast 128 .”
- Tissue-Specific Functional Networks for Prioritizing Phenotype and Disease Genes (2012, methodology): “Functional relationship networks, representing the likelihood that two proteins participate in the same biological process, provide invaluable information for phenotype gene discovery, pathway analysis, and drug discovery [5,6,7,8,9,10,11].”
- Empirically-controlled mapping of the Caenorhabditis elegans protein-protein interactome network (2009, background): “Module-scale biological subnetworks can be extracted from the integrated network by selecting ‘seed’ genes/proteins known to be associated with a specific process and then expanding by selecting neighboring genes/proteins.”