ArticleScientific data2014
The systematic identification of cytoskeletal genes required for Drosophila melanogaster muscle maintenance.
Article in Scientific data, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Drosophila actin nucleator DAAM is essential for left-right asymmetry.PLoS genetics · 2020Article
- Cellular Aging Characteristics and Their Association with Age-Related Disorders.Antioxidants (Basel, Switzerland) · 2020Review
- Time-restricted feeding restores muscle function in Drosophila models of obesity and circadian-rhythm disruption.Nature communications · 2019Article
- Identification of genetic networks that act in the somatic cells of the testis to mediate the developmental program of spermatogenesis.PLoS genetics · 2017Article
- An ongoing role for structural sarcomeric components in maintaining Drosophila melanogaster muscle function and structure.PloS one · 2014Article
- The systematic identification of cytoskeletal genes required for Drosophila melanogaster muscle maintenance.Scientific data · 2014Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animal muscles must maintain their function and structure while bearing substantial mechanical loads. How muscles withstand persistent mechanical strain is presently not well understood. Understanding the mechanisms by which tissues maintain their complex architecture is a key goal of cell biology. This dataset represents a systematic screen through the Drosophila melanogaster cytoskeleton to identify genes that are required to maintain tissue, specifically muscle, architecture. Using RNA interference (RNAi), we knocked down 238 genes in Drosophila and assayed for climbing ability with a robust behavioural assay. Here we present the summary of the screen and provide the complete results of the assays. We have uncovered a number of novel hits that would reward further study. The data are easy to use: the raw data are provided to allow researchers to perform their own analysis and analysed results are given indicating whether or not the genes are required for muscle maintenance. This dataset will allow other researchers to identify candidate genes for more detailed study and lead to better understanding of muscle maintenance.
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