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Enhancer RNAs

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Attention for Chapter 11: Evaluating the Stability of mRNAs and Noncoding RNAs.
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Chapter title
Evaluating the Stability of mRNAs and Noncoding RNAs.
Chapter number 11
Book title
Enhancer RNAs
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-4035-6_11
Pubmed ID
Book ISBNs
978-1-4939-4033-2, 978-1-4939-4035-6
Authors

Ana Carolina Ayupe, Eduardo M. Reis Ph.D., Ayupe, Ana Carolina, Reis, Eduardo M, Eduardo M. Reis

Editors

Ulf Andersson Ørom

Abstract

Changes in RNA stability have an important impact in the gene expression regulation. Different methods based on the transcription blockage with RNA polymerase inhibitors or metabolic labeling of newly synthesized RNAs have been developed to evaluate RNA decay rates in cultured cell. Combined with techniques to measure transcript abundance genome-wide, these methods have been used to reveal novel features of the eukaryotic transcriptome. The stability of protein-coding mRNAs is in general closely associated to the physiological function of their encoded proteins, with short-lived mRNAs being significantly enriched among regulatory genes whereas genes associated with housekeeping functions are predominantly stable. Likewise, the stability of noncoding RNAs (ncRNAs) seems to reflect their functional role in the cell. Thus, investigating RNA stability can provide insights regarding the function of yet uncharacterized regulatory ncRNAs. In this chapter, we discuss the methodologies currently used to estimate RNA decay and outline an experimental protocol for genome-wide estimation of RNA stability of protein-coding and lncRNAs. This protocol details the transcriptional blockage of cultured cells with actinomycin D, followed by RNA isolation at different time points, the determination of transcript abundance by qPCR/DNA oligoarray hybridization, and the calculation of individual transcript half-lives.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Researcher 3 12%
Student > Bachelor 3 12%
Student > Postgraduate 2 8%
Student > Master 2 8%
Other 2 8%
Unknown 7 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 32%
Agricultural and Biological Sciences 5 20%
Business, Management and Accounting 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 8 32%
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 27 September 2016.
All research outputs
#15,384,989
of 22,889,074 outputs
Outputs from Methods in molecular biology
#5,353
of 13,133 outputs
Outputs of similar age
#256,296
of 420,399 outputs
Outputs of similar age from Methods in molecular biology
#465
of 1,074 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.