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Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/113179
Título

Genetic annotation of gain-of-function screens using RNA interference and in situ hybridization of candidate genes in the Drosophila wing

AutorMolnar, Cristina; López-Varea, Ana; Cruz, Cristina; Celis, José F. de
Fecha de publicación2012
EditorGenetics Society of America
CitaciónGenetics 192: 741- 752 (2012)
ResumenGain-of-function screens in Drosophila are an effective method with which to identify genes that affect the development of particular structures or cell types. It has been found that a fraction of 2-10% of the genes tested, depending on the particularities of the screen, results in a discernible phenotype when overexpressed. However, it is not clear to what extent a gain-of-function phenotype generated by overexpression is informative about the normal function of the gene. Thus, very few reports attempt to correlate the loss- and overexpression phenotype for collections of genes identified in gain-of-function screens. In this work we use RNA interference and in situ hybridization to annotate a collection of 123 P-GS insertions that in combination with different Gal4 drivers affect the size and/or patterning of the wing. We identify the gene causing the overexpression phenotype by expressing, in a background of overexpression, RNA interference for the genes affected by each P-GS insertion. Then, we compare the loss and gainof-function phenotypes obtained for each gene and relate them to its expression pattern in the wing disc. We find that 52% of genes identified by their overexpression phenotype are required during normal development. However, only in 9% of the cases analyzed was there some complementarity between the gain- and loss-of-function phenotype, suggesting that, in general, the overexpression phenotypes would not be indicative of the normal requirements of the gene. © 2012 by the Genetics Society of America.
URIhttp://hdl.handle.net/10261/113179
DOI10.1534/genetics.112.143537
Identificadoresdoi: 10.1534/genetics.112.143537
issn: 0016-6731
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