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Gene expression patterns associated with infertility in humans and rodent models

Overview of attention for article published in Mutation Research: Fundamental & Molecular Mechanisms of Mutagenesis, May 2004
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
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1 patent
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2 Wikipedia pages

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46 Mendeley
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Article details
Title
Gene expression patterns associated with infertility in humans and rodent models
Published in
Mutation Research: Fundamental & Molecular Mechanisms of Mutagenesis, May 2004
DOI 10.1016/j.mrfmmm.2003.11.017
Pubmed ID
Authors
Abstract

Modern genomic technologies such as DNA arrays provide the means to investigate molecular interactions at an unprecedented level, and arrays have been used to carry out gene expression profiling as a means of identifying candidate genes involved in molecular mechanisms underlying a variety of phenotypes. By comparing gene expression profiles from normal and abnormal human testes with those from comparable infertile mouse models, we endeavored to identify genes and gene networks critical for male fertility. We used commercially available filter-based DNA arrays to analyze testicular gene expression from eight human testis biopsies and three different infertile mouse models (atrichosis mutation, ataxia telangiectasia knockout and CREMtau knockout). Forty-seven mouse genes exhibited differential testicular gene expression (P <0.01) associated with male infertility. These included genes involved in DNA repair (Vim, Rad23A, Rad23B), glutathione metabolism (Gsr, Gstp 1, Mgst1), proteolysis (Ace, Casp1, Ctsd), spermatogenesis (Prlr, Tmsb4 and Zfp-37) and stress response (Hsp 1, Osp94). The expression of 19 human genes was different (P<0.05) between normal and abnormal samples, including those associated with apoptosis (GADD45), gonad development (SOX9), proteolysis (PSMC3, SPINK2, TIMP3, UBE213) and signal transduction (DLK1, NAP4, S100A10). Direct comparison of differentially expressed human and mouse genes identified glucose phosphate isomerase, and the highly similar human tissue inhibitor of metalloproteinase 3 (TIMP3) and mouse Timp2. Using DNA microarrays to profile gene expression in testes from infertile animal models and humans will be useful for understanding congenital infertility, and also infertility caused by environmental exposures where the same genes and molecular mechanisms are involved.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 12 26%
Student > Ph. D. Student 8 17%
Researcher 8 17%
Student > Bachelor 3 7%
Other 2 4%
Other 6 13%
Unknown 7 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Biochemistry, Genetics and Molecular Biology 13 28%
Medicine and Dentistry 4 9%
Social Sciences 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 7%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2018.
All research outputs
#7,581,852
of 34,360,257 outputs
Outputs from Mutation Research: Fundamental & Molecular Mechanisms of Mutagenesis
#5
of 10 outputs
Outputs of similar age
#20,281
of 87,408 outputs
Outputs of similar age from Mutation Research: Fundamental & Molecular Mechanisms of Mutagenesis
#3
of 6 outputs
Altmetric has tracked 34,360,257 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one scored the same or higher as 5 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 87,408 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.