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mRNA Decay

Overview of attention for book
Cover of 'mRNA Decay'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 5′-Bromouridine IP Chase (BRIC)-Seq to Determine RNA Half-Lives
  3. Altmetric Badge
    Chapter 2 Determining mRNA Decay Rates Using RNA Approach to Equilibrium Sequencing (RATE-Seq)
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    Chapter 3 Metabolic Labeling of Newly Synthesized RNA with 4sU to in Parallel Assess RNA Transcription and Decay
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    Chapter 4 Measuring mRNA Decay in Budding Yeast Using Single Molecule FISH
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    Chapter 5 PAR-CLIP for Discovering Target Sites of RNA-Binding Proteins
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    Chapter 6 Characterizing mRNA Sequence Motifs in the 3′-UTR Using GFP Reporter Constructs
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    Chapter 7 iCLIP of the PIWI Protein Aubergine in Drosophila Embryos
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    Chapter 8 Integration of ENCODE RNAseq and eCLIP Data Sets
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    Chapter 9 Identifying miRNA Targets Using AGO-RIPseq
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    Chapter 10 Integrated Analysis of miRNA and mRNA Expression Profiles to Identify miRNA Targets
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    Chapter 11 Identifying RISC Components Using Ago2 Immunoprecipitation and Mass Spectrometry
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    Chapter 12 Using Tet-Off Cells and RNAi Knockdown to Assay mRNA Decay
  14. Altmetric Badge
    Chapter 13 Identifying Cellular Nonsense-Mediated mRNA Decay (NMD) Targets: Immunoprecipitation of Phosphorylated UPF1 Followed by RNA Sequencing (p-UPF1 RIP−Seq)
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    Chapter 14 Generation of Cell Lines Stably Expressing a Fluorescent Reporter of Nonsense-Mediated mRNA Decay Activity
  16. Altmetric Badge
    Chapter 15 Reactivation Assay to Identify Direct Targets of the Nonsense-Mediated mRNA Decay Pathway in Drosophila
  17. Altmetric Badge
    Chapter 16 Studying Nonsense-Mediated mRNA Decay in Mammalian Cells Using a Multicolored Bioluminescence-Based Reporter System
Attention for Chapter 2: Determining mRNA Decay Rates Using RNA Approach to Equilibrium Sequencing (RATE-Seq)
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Chapter title
Determining mRNA Decay Rates Using RNA Approach to Equilibrium Sequencing (RATE-Seq)
Chapter number 2
Book title
Methods in Molecular Biology
Published in
Methods in molecular biology, December 2017
DOI 10.1007/978-1-4939-7540-2_2
Pubmed ID
Book ISBNs
978-1-4939-7539-6, 978-1-4939-7540-2
Authors

Abdul-Rahman, Farah, Gresham, David, Farah Abdul-Rahman, David Gresham

Abstract

RATE-seq is a 4-thiouracil (4-tU)-based method that enables the in vivo measurement of transcriptome-wide RNA degradation rates. 4-tU is an analog of uracil that is rapidly incorporated into newly synthesized RNA and facilitates the conjugation of a biotinylated molecule containing a reactive thiol group. The biotinylated RNA can then be fractionated from the unlabeled RNA with streptavidin magnetic beads. By adding 4-tU to a culture of cells growing in steady-state conditions, fractionating the labeled population of RNA at multiple time points following 4-tU addition, and quantifying the abundance of newly transcribed RNAs using RNAseq, it is possible to estimate the degradation rates of all transcripts in a single experiment. The analysis of the RATE-seq data entails normalization of RNAseq libraries to thiolated RNA spike-ins and nonlinear model fitting to estimate the degradation rate constant for each RNA species.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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 > Postgraduate 2 33%
Lecturer > Senior Lecturer 1 17%
Student > Doctoral Student 1 17%
Lecturer 1 17%
Student > Master 1 17%
Other 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Immunology and Microbiology 1 17%
Physics and Astronomy 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2017.
All research outputs
#14,086,689
of 23,011,300 outputs
Outputs from Methods in molecular biology
#3,966
of 13,157 outputs
Outputs of similar age
#229,668
of 439,309 outputs
Outputs of similar age from Methods in molecular biology
#409
of 1,523 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 439,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,523 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.