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Correlation Analyses Reveal a Limited Role of Transcription in Genome-Wide Differential MicroRNA Expression in Mammals

Overview of attention for article published in Frontiers in Genetics, May 2018
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Title
Correlation Analyses Reveal a Limited Role of Transcription in Genome-Wide Differential MicroRNA Expression in Mammals
Published in
Frontiers in Genetics, May 2018
DOI 10.3389/fgene.2018.00154
Pubmed ID
Authors

Xiaoxiao Zhang, Siling Hu, Jia Su, Zixuan Xie, Wenjing Li, Yan Zeng

Abstract

Transcription initiates the cascade of gene expression and is often assumed to play a predominant role in determining how much gene products are ultimately expressed. The relationship between mRNA levels and protein levels has been studied extensively to reveal the degrees of transcriptional and post-transcriptional regulation of protein expression. The extent to which transcription globally controls the differential expression of non-coding RNAs, however, is poorly defined. MicroRNAs (miRNAs) are a class of small, non-coding RNAs whose biogenesis involves transcription followed by extensive processing. Here, using hundreds of datasets produced from the ENCODE (Encyclopedia of DNA Elements) project we calculated the correlations between transcriptional activity and mature miRNA expression in diverse human cells, human tissues, and mouse tissues. While correlations vary among samples, most correlation coefficients are small. Interestingly, excluding miRNAs that were discovered later or weighting miRNA expression improves the correlations. Our results suggest that transcription contributes only modestly to differential miRNA expression at the genome-wide scale in mammals.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Ph. D. Student 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Immunology and Microbiology 1 17%
Unknown 1 17%
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 02 May 2018.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from Frontiers in Genetics
#7,170
of 12,105 outputs
Outputs of similar age
#252,950
of 326,177 outputs
Outputs of similar age from Frontiers in Genetics
#98
of 131 outputs
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