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Genome-wide analysis of mRNAs associated with mouse peroxisomes

Overview of attention for article published in BMC Genomics, December 2016
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Title
Genome-wide analysis of mRNAs associated with mouse peroxisomes
Published in
BMC Genomics, December 2016
DOI 10.1186/s12864-016-3330-x
Pubmed ID
Authors

Aliaksandr A. Yarmishyn, Maksym Kremenskoy, Arsen O. Batagov, Axel Preuss, Jin Huei Wong, Igor V. Kurochkin

Abstract

RNA is often targeted to be localized to the specific subcellular compartments. Specific localization of mRNA is believed to be an important mechanism for targeting their protein products to the locations, where their function is required. In this study we performed the genome wide transcriptome analysis of peroxisome preparations from the mouse liver using microarrays. We demonstrate that RNA is absent inside peroxisomes, however it is associated at their exterior via the noncovalent contacts with the membrane proteins. We detect enrichment of specific sets of transcripts in two preparations of peroxisomes, purified with different degrees of stringency. Importantly, among these were mRNAs encoding bona fide peroxisomal proteins, such as peroxins and peroxisomal matrix enzymes involved in beta-oxidation of fatty acids and bile acid biosynthesis. The top-most enriched mRNA, whose association with peroxisomes we confirm microscopically was Hmgcs1, encoding 3-hydroxy-3-methylglutaryl-CoA synthase, a crucial enzyme of cholesterol biosynthesis pathway. We observed significant representation of mRNAs encoding mitochondrial and secreted proteins in the peroxisomal fractions. This is a pioneer genome-wide study of localization of mRNAs to peroxisomes that provides foundation for more detailed dissection of mechanisms of RNA targeting to subcellular compartments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Researcher 3 19%
Professor 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Agricultural and Biological Sciences 3 19%
Neuroscience 2 13%
Engineering 1 6%
Unknown 6 38%
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 06 February 2017.
All research outputs
#20,402,251
of 22,952,268 outputs
Outputs from BMC Genomics
#9,312
of 10,686 outputs
Outputs of similar age
#355,480
of 421,035 outputs
Outputs of similar age from BMC Genomics
#183
of 232 outputs
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