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Post-Transcriptional Gene Regulation

Overview of attention for book
Cover of 'Post-Transcriptional Gene Regulation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Bioinformatics Resources for Post-transcriptional Regulation of Gene Expression.
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    Chapter 2 Post-Transcriptional Gene Regulation
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    Chapter 3 Transcriptional Regulation with CRISPR/Cas9 Effectors in Mammalian Cells.
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    Chapter 4 Studying the Translatome with Polysome Profiling.
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    Chapter 5 Exploring Ribosome Positioning on Translating Transcripts with Ribosome Profiling.
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    Chapter 6 Post-Transcriptional Gene Regulation
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    Chapter 7 Use of the pBUTR Reporter System for Scalable Analysis of 3' UTR-Mediated Gene Regulation.
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    Chapter 8 Comprehensive Identification of RNA-Binding Proteins by RNA Interactome Capture.
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    Chapter 9 Identifying RBP Targets with RIP-seq.
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    Chapter 10 PAR-CLIP: A Method for Transcriptome-Wide Identification of RNA Binding Protein Interaction Sites.
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    Chapter 11 Profiling the Binding Sites of RNA-Binding Proteins with Nucleotide Resolution Using iCLIP.
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    Chapter 12 A Pipeline for PAR-CLIP Data Analysis.
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    Chapter 13 Capture and Identification of miRNA Targets by Biotin Pulldown and RNA-seq.
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    Chapter 14 Post-Transcriptional Gene Regulation
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    Chapter 15 Genome-Wide Analysis of A-to-I RNA Editing.
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    Chapter 16 Nucleotide-Level Profiling of m5C RNA Methylation
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    Chapter 17 Probing N (6)-methyladenosine (m(6)A) RNA Modification in Total RNA with SCARLET.
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    Chapter 18 Genome-Wide Identification of Alternative Polyadenylation Events Using 3'T-Fill.
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    Chapter 19 Genome-Wide Profiling of Alternative Translation Initiation Sites.
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    Chapter 20 Post-Transcriptional Gene Regulation
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    Chapter 21 Visualizing mRNA Dynamics in Live Neurons and Brain Tissues.
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    Chapter 22 Single-Molecule Live-Cell Visualization of Pre-mRNA Splicing.
Attention for Chapter 4: Studying the Translatome with Polysome Profiling.
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Chapter title
Studying the Translatome with Polysome Profiling.
Chapter number 4
Book title
Post-Transcriptional Gene Regulation
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3067-8_4
Pubmed ID
Book ISBNs
978-1-4939-3066-1, 978-1-4939-3067-8
Authors

Zuccotti, Paola, Modelska, Angelika, Paola Zuccotti, Angelika Modelska

Editors

Erik Dassi

Abstract

Polysome fractionation by sucrose density gradient centrifugation followed by analysis of RNA and protein is a technique that allows to understand the changes in translation of individual mRNAs as well as genome-wide effects on the translatome. Here, we describe the polysome profiling technique and RNA as well as protein isolation procedures from sucrose fractions.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Researcher 2 6%
Other 3 9%
Unknown 13 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 27%
Biochemistry, Genetics and Molecular Biology 8 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Neuroscience 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 13 39%
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 09 July 2016.
All research outputs
#16,681,672
of 26,017,215 outputs
Outputs from Methods in molecular biology
#4,970
of 14,425 outputs
Outputs of similar age
#225,083
of 405,194 outputs
Outputs of similar age from Methods in molecular biology
#441
of 1,468 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,425 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 61% 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 405,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,468 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 66% of its contemporaries.