2017
DOI: 10.1002/mrd.22880
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From phenologs to silent suppressors: Identifying potential therapeutic targets for human disease

Abstract: Orthologous phenotypes, or phenologs, are seemingly unrelated phenotypes generated by mutations in a conserved set of genes. Phenologs have been widely observed and accepted by those who study model organisms, and allow one to study a set of genes in a model organism to learn more about the function of those genes in other organisms, including humans. At the cellular and molecular level, these conserved genes likely function in a very similar mode, but are doing so in different tissues or cell types and can re… Show more

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Cited by 15 publications
(9 citation statements)
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“…To analyze such signals, we used let-60(n1046 gf ) , a moderately activating G13E mutation analogous to mutations found in a subset of mammalian cancers [49]. In this background, gain and loss of the RAL-1 2°-promoting signal resulted in decrease and increase of ectopic 1° cells, respectively [10, 12].…”
Section: Resultsmentioning
confidence: 99%
“…To analyze such signals, we used let-60(n1046 gf ) , a moderately activating G13E mutation analogous to mutations found in a subset of mammalian cancers [49]. In this background, gain and loss of the RAL-1 2°-promoting signal resulted in decrease and increase of ectopic 1° cells, respectively [10, 12].…”
Section: Resultsmentioning
confidence: 99%
“…To detect such signals, we use let-60(n1046gf), a moderately activating G13E mutation analogous to mutations found in some mammalian cancers (55). In this background, gain and loss of the RAL-1 2˚-promoting signal resulted in decrease and increase of ectopic 1˚ cells, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Model organisms, including Mus sp . (laboratory mouse), Saccharomyces cerevisiae , Drosophila melanogaster , Caenorhabditis elegans , Danio rerio , and Rattus norvegicus , and model systems less commonly used have provided insights into the biological processes that underlie human health and disease, and have contributed to the development of diagnoses and treatments for genetic diseases (Iannaccone and Jacob 2009; Phillips and Westerfield 2014; Hamza et al 2015; Kachroo et al 2015; Strange 2016; Ugur et al 2016; Bonini and Berger 2017; Golden 2017; Sen and Cox 2017; Wangler et al 2017; Apfeld and Alper 2018; Ingham 2018; Nadeau and Auwerx 2019; Smith et al 2019).…”
Section: A Brief History Of Model Organism Databases and The Gene Ontmentioning
confidence: 99%