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Application of quantitative trait locus mapping and transcriptomics to studies of the senescence-accelerated phenotype in rats

Overview of attention for article published in BMC Genomics, December 2014
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Title
Application of quantitative trait locus mapping and transcriptomics to studies of the senescence-accelerated phenotype in rats
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-s12-s3
Pubmed ID
Authors

Elena E Korbolina, Nikita I Ershov, Leonid O Bryzgalov, Natalia G Kolosova

Abstract

Etiology of complex disorders, such as cataract and neurodegenerative diseases including age-related macular degeneration (AMD), remains poorly understood due to the paucity of animal models, fully replicating the human disease. Previously, two quantitative trait loci (QTLs) associated with early cataract, AMD-like retinopathy, and some behavioral aberrations in senescence-accelerated OXYS rats were uncovered on chromosome 1 in a cross between OXYS and WAG rats. To confirm the findings, we generated interval-specific congenic strains, WAG/OXYS-1.1 and WAG/OXYS-1.2, carrying OXYS-derived loci of chromosome 1 in the WAG strain. Both congenic strains displayed early cataract and retinopathy but differed clinically from OXYS rats. Here we applied a high-throughput RNA sequencing (RNA-Seq) strategy to facilitate nomination of the candidate genes and functional pathways that may be responsible for these differences and can contribute to the development of the senescence-accelerated phenotype of OXYS rats.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 27%
Student > Ph. D. Student 4 18%
Researcher 4 18%
Student > Master 2 9%
Unspecified 1 5%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 36%
Medicine and Dentistry 3 14%
Computer Science 3 14%
Chemistry 2 9%
Nursing and Health Professions 1 5%
Other 3 14%
Unknown 2 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 January 2015.
All research outputs
#20,248,338
of 22,776,824 outputs
Outputs from BMC Genomics
#9,269
of 10,643 outputs
Outputs of similar age
#295,970
of 353,131 outputs
Outputs of similar age from BMC Genomics
#214
of 238 outputs
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