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RNA Methylation

Overview of attention for book
Cover of 'RNA Methylation'

Table of Contents

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    Book Overview
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    Chapter 1 LC-MS Analysis of Methylated RNA
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    Chapter 2 Comparative Analysis of Ribonucleic Acid Digests (CARD) by Mass Spectrometry
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    Chapter 3 Liquid Chromatography-Mass Spectrometry for Analysis of RNA Adenosine Methylation
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    Chapter 4 Genome-Wide Location Analyses of N6-Methyladenosine Modifications (m6A-Seq)
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    Chapter 5 Mapping m6A at Individual-Nucleotide Resolution Using Crosslinking and Immunoprecipitation (miCLIP)
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    Chapter 6 Detection and Quantification of N 6-Methyladenosine in Messenger RNA by TLC
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    Chapter 7 Illustrating the Epitranscriptome at Nucleotide Resolution Using Methylation-iCLIP (miCLIP)
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    Chapter 8 Detection of 5-Methylcytosine in Specific Poly(A) RNAs by Bisulfite Sequencing
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    Chapter 9 Transcriptome-Wide Detection of 5-Methylcytosine by Bisulfite Sequencing
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    Chapter 10 Analysis of High-Throughput RNA Bisulfite Sequencing Data
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    Chapter 11 Statistical Methods for Transcriptome-Wide Analysis of RNA Methylation by Bisulfite Sequencing
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    Chapter 12 High-Throughput Mapping of 2′-O-Me Residues in RNA Using Next-Generation Sequencing (Illumina RiboMethSeq Protocol)
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    Chapter 13 RiboMeth-seq: Profiling of 2′-O-Me in RNA
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    Chapter 14 In Silico Identification of RNA Modifications from High-Throughput Sequencing Data Using HAMR
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    Chapter 15 High-Throughput Small RNA Sequencing Enhanced by AlkB-Facilitated RNA de-Methylation (ARM-Seq)
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    Chapter 16 Transcriptome-Wide Mapping of N 1-Methyladenosine Methylome
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    Chapter 17 In Vitro Assays for RNA Methyltransferase Activity
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    Chapter 18 Crosslinking Methods to Identify RNA Methyltransferase Targets In Vivo
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    Chapter 19 Methylated mRNA Nucleotides as Regulators for Ribosomal Translation
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    Chapter 20 Automated Chemical Solid-Phase Synthesis and Deprotection of 5-Hydroxymethylcytosine-Containing RNA
Attention for Chapter 7: Illustrating the Epitranscriptome at Nucleotide Resolution Using Methylation-iCLIP (miCLIP)
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Chapter title
Illustrating the Epitranscriptome at Nucleotide Resolution Using Methylation-iCLIP (miCLIP)
Chapter number 7
Book title
RNA Methylation
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6807-7_7
Pubmed ID
Book ISBNs
978-1-4939-6805-3, 978-1-4939-6807-7
Authors

George, Harry, Ule, Jernej, Hussain, Shobbir, Harry George, Jernej Ule, Shobbir Hussain, George, H, Ule, J, Hussain, S

Editors

Alexandra Lusser

Abstract

Next-generation sequencing technologies have enabled the transcriptome to be profiled at a previously unprecedented speed and depth. This yielded insights into fundamental transcriptomic processes such as gene transcription, RNA processing, and mRNA splicing. Immunoprecipitation-based transcriptomic methods such as individual nucleotide resolution crosslinking immunoprecipitation (iCLIP) have also allowed high-resolution analysis of the RNA interactions of a protein of interest, thus revealing new regulatory mechanisms. We and others have recently modified this method to profile RNA methylation, and we refer to this customized technique as methylation-iCLIP (miCLIP). Variants of miCLIP have been used to map the methyl-5-cytosine (m5C) or methyl-6-adenosine (m6A) modification at nucleotide resolution in the human transcriptome. Here we describe the m5C-miCLIP protocol, discuss how it yields the nucleotide-resolution RNA modification maps, and comment on how these have contributed to the new field of molecular genetics research coined "epitranscriptomics."

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X Demographics

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 7 18%
Student > Bachelor 6 16%
Student > Postgraduate 3 8%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 7 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 45%
Agricultural and Biological Sciences 5 13%
Medicine and Dentistry 2 5%
Computer Science 2 5%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 7 18%
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 13 April 2018.
All research outputs
#14,056,410
of 22,962,258 outputs
Outputs from Methods in molecular biology
#3,955
of 13,136 outputs
Outputs of similar age
#167,268
of 308,511 outputs
Outputs of similar age from Methods in molecular biology
#64
of 303 outputs
Altmetric has tracked 22,962,258 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 13,136 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 308,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.