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dc.contributor.authorMori, Akihiro
dc.contributor.authorHoldorf, Amy D.
dc.contributor.authorWalhout, Albertha J. M.
dc.date2022-08-11T08:10:59.000
dc.date.accessioned2022-08-23T17:27:21Z
dc.date.available2022-08-23T17:27:21Z
dc.date.issued2017-09-01
dc.date.submitted2017-11-30
dc.identifier.citation<p>Genes Cells. 2017 Sep;22(9):770-784. doi: 10.1111/gtc.12516. Epub 2017 Aug 8. <a href="https://doi.org/10.1111/gtc.12516">Link to article on publisher's site</a></p>
dc.identifier.issn1356-9597 (Linking)
dc.identifier.doi10.1111/gtc.12516
dc.identifier.pmid28791781
dc.identifier.urihttp://hdl.handle.net/20.500.14038/49842
dc.description.abstractReverse genetic screens by RNA interference (RNAi) in model organisms such as the nematode Caenorhabditis elegans have provided numerous insights into gene function, thereby connecting genotype to phenotype. However, genes that contribute only subtly are often missed because relatively large numbers of measurements and reliable quantification are required to overcome experimental and biological noise that may mask subtle phenotypic effects. Here, we address this challenge by focusing on two phenotypes in C. elegans: growth and fat storage. We carried out comprehensive RNAi knockdown of transcription factors (TFs), as these are known important regulators of biological processes during development and the maintenance of homeostasis. Microscopy images of TF knockdown animals stained with Oil Red O (ORO) were captured, and body size (proxy for growth) and ORO staining intensity (proxy for fat storage) were precisely quantified using a newly developed imaging tool we named IPPOME (Image Processing for Precise and Objective MEasurement). We found that a surprisingly large proportion of TFs contribute to growth and fat storage, but that most TFs have only subtle, yet significant effects. This study provides a blueprint for studies of other genes and phenotypes in C. elegans.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28791781&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1111/gtc.12516
dc.subjectCell and Developmental Biology
dc.subjectCellular and Molecular Physiology
dc.subjectGenetics and Genomics
dc.subjectMolecular Biology
dc.subjectSystems Biology
dc.titleMany transcription factors contribute to C. elegans growth and fat storage
dc.typeJournal Article
dc.source.journaltitleGenes to cells : devoted to molecular and cellular mechanisms
dc.source.volume22
dc.source.issue9
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/sysbio_pubs/116
dc.identifier.contextkey11176471
html.description.abstract<p>Reverse genetic screens by RNA interference (RNAi) in model organisms such as the nematode Caenorhabditis elegans have provided numerous insights into gene function, thereby connecting genotype to phenotype. However, genes that contribute only subtly are often missed because relatively large numbers of measurements and reliable quantification are required to overcome experimental and biological noise that may mask subtle phenotypic effects. Here, we address this challenge by focusing on two phenotypes in C. elegans: growth and fat storage. We carried out comprehensive RNAi knockdown of transcription factors (TFs), as these are known important regulators of biological processes during development and the maintenance of homeostasis. Microscopy images of TF knockdown animals stained with Oil Red O (ORO) were captured, and body size (proxy for growth) and ORO staining intensity (proxy for fat storage) were precisely quantified using a newly developed imaging tool we named IPPOME (Image Processing for Precise and Objective MEasurement). We found that a surprisingly large proportion of TFs contribute to growth and fat storage, but that most TFs have only subtle, yet significant effects. This study provides a blueprint for studies of other genes and phenotypes in C. elegans.</p>
dc.identifier.submissionpathsysbio_pubs/116
dc.contributor.departmentProgram in Molecular Medicine
dc.contributor.departmentProgram in Systems Biology
dc.source.pages770-784


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