Literature DB >> 18245854

Conditional switches for extracellular matrix patterning in Drosophila melanogaster.

Arvinder Khokhar1, Nan Chen, Ji-Ping Yuan, Yishi Li, Gary N Landis, Gregory Beaulieu, Harminder Kaur, John Tower.   

Abstract

An F(1) mutagenesis strategy was developed to identify conditional mutations affecting extracellular matrix (ECM) patterning. Tubulogenesis requires coordinated movement of epithelial cells and deposition of a multilayered ECM. In the Drosophila ovary, an epithelium of follicle cells creates the eggshells, including the paired tubular dorsal appendages (DAs) that act as breathing tubes for the embryo. A P-element mutagenesis strategy allowed for conditional overexpression of hundreds of genes in follicle cells. Conditional phenotypes were scored at the level of individual mutant (F(1)) female flies. ECM pattern regulators were readily identified including MAPK signaling gene ets domain lacking (fused DAs), Wnt pathway genes frizzled 3 and osa (long DAs), Hh pathway gene debra (branched DAs), and transcription factor genes sima/HIF-1alpha, ush, lilli, Tfb1, broad, and foxo. In moving cells the [Ca(2+)]/calcineurin pathway can regulate adhesion to ECM while adherens junctions link cells together. Accordingly, thin eggshell and DA phenotypes were identified for the calcineurin regulator calreticulin and the adherens junction component arc. Finally a tubulogenesis defect phenotype was identified for the gene pterodactyl, homologous to the mammalian serine/threonine receptor-associated protein (STRAP) that integrates the TGF-beta and PI3K/AKT signaling pathways. Because phenotypes can be scored in each mutant fly before and after gene induction, this F(1) conditional mutagenesis strategy should allow for increased scale in screens for mutations affecting repeated (reiterated) events in adult animals, including gametogenesis, movement, behavior, and learning.

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Year:  2008        PMID: 18245854      PMCID: PMC2278091          DOI: 10.1534/genetics.106.065912

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  64 in total

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