Evidence map›Paper›PMID 20003237›Full record

ArticleBMC geriatrics2009

Identifying sexual differentiation genes that affect Drosophila life span.

Jie Shen, Daniel Ford, Gary N Landis, John Tower

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 29 citations in OpenAlex.

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  13. Variegated expression of Hsp22 transgenic reporters indicates cell-specific patterns of aging in Drosophila oenocytes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2014
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jie ShenMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA. jies@usc.edu
Daniel Ford
Gary N Landis
John Tower
University of Southern California · US

Funding

AGING-SPECIFIC GENE EXPRESSION IN DROSOPHILAR01AG011833 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOWER, JOHN GERARD · 1994 to 2013
$2.8M
NIA NIH HHS R01AG011833
6 · The paper itself

Abstract

backgroundSexual differentiation often has significant effects on life span and aging phenotypes. For example, males and females of several species have different life spans, and genetic and environmental manipulations that affect life span often have different magnitude of effect in males versus females. Moreover, the presence of a differentiated germ-line has been shown to affect life span in several species, including Drosophila and C. elegans.

methodsExperiments were conducted to determine how alterations in sexual differentiation gene activity might affect the life span of Drosophila melanogaster. Drosophila females heterozygous for the tudor[1] mutation produce normal offspring, while their homozygous sisters produce offspring that lack a germ line. To identify additional sexual differentiation genes that might affect life span, the conditional transgenic system Geneswitch was employed, whereby feeding adult flies or developing larvae the drug RU486 causes the over-expression of selected UAS-transgenes.

resultsIn this study germ-line ablation caused by the maternal tudor[1] mutation was examined in a long-lived genetic background, and was found to increase life span in males but not in females, consistent with previous reports. Fitting the data to a Gompertz-Makeham model indicated that the maternal tudor[1] mutation increases the life span of male progeny by decreasing age-independent mortality. The Geneswitch system was used to screen through several UAS-type and EP-type P element mutations in genes that regulate sexual differentiation, to determine if additional sex-specific effects on life span would be obtained. Conditional over-expression of transformer female isoform (traF) during development produced male adults with inhibited sexual differentiation, however this caused no significant change in life span. Over-expression of doublesex female isoform (dsxF) during development was lethal to males, and produced a limited number of female escapers, whereas over-expression of dsxF specifically in adults greatly reduced both male and female life span. Similarly, over-expression of fruitless male isoform A (fru-MA) during development was lethal to both males and females, whereas over-expression of fru-MA in adults greatly reduced both male and female life span.

conclusionManipulation of sexual differentiation gene expression specifically in the adult, after morphological sexual differentiation is complete, was still able to affect life span. In addition, by manipulating gene expression during development, it was possible to significantly alter morphological sexual differentiation without a significant effect on adult life span. The data demonstrate that manipulation of sexual differentiation pathway genes either during development or in adults can affect adult life span.

Indexed as

AnimalsDNA-Binding ProteinsDrosophila melanogasterDrosophila ProteinsFemaleGerm-Line MutationLongevityMaleMembrane Transport ProteinsModels, GeneticNerve Tissue ProteinsNuclear ProteinsRibonucleoproteinsRNA-Binding ProteinsSex DifferentiationTranscription FactorsDNA-Binding ProteinsDrosophila ProteinsDSX protein, Drosophilafru protein, DrosophilaMembrane Transport ProteinsNerve Tissue ProteinsNuclear ProteinsRibonucleoproteinsRNA-Binding ProteinsSxl protein, Drosophilatra2 protein, DrosophilaTranscription FactorsTra protein, Drosophilatud protein, Drosophila

Identifiers

PMID20003237
PMCPMC2803781
OpenAlexW2167332067

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.