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Systems Biology of RNA Binding Proteins

Overview of attention for book
Attention for Chapter 7: Genetic Variation and RNA Binding Proteins: Tools and Techniques to Detect Functional Polymorphisms
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 blog
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Citations

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8 Dimensions

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19 Mendeley
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Chapter title
Genetic Variation and RNA Binding Proteins: Tools and Techniques to Detect Functional Polymorphisms
Chapter number 7
Book title
Systems Biology of RNA Binding Proteins
Published in
Advances in experimental medicine and biology, February 2016
DOI 10.1007/978-1-4939-1221-6_7
Pubmed ID
Book ISBNs
978-1-4939-1220-9, 978-1-4939-1221-6
Authors

Rachel Soemedi, Hugo Vega, Judson M. Belmont, Sohini Ramachandran, William G. Fairbrother

Editors

Gene W. Yeo

Abstract

At its most fundamental level the goal of genetics is to connect genotype to phenotype. This question is asked at a basic level evaluating the role of genes and pathways in genetic model organism. Increasingly, this question is being asked in the clinic. Genomes of individuals and populations are being sequenced and compared. The challenge often comes at the stage of analysis. The variant positions are analyzed with the hope of understanding human disease. However after a genome or exome has been sequenced, the researcher is often deluged with hundreds of potentially relevant variations. Traditionally, amino-acid changing mutations were considered the tractable class of disease-causing mutations; however, mutations that disrupt noncoding elements are the subject of growing interest. These noncoding changes are a major avenue of disease (e.g., one in three hereditary disease alleles are predicted to affect splicing). Here, we review some current practices of medical genetics, the basic theory behind biochemical binding and functional assays, and then explore technical advances in how variations that alter RNA protein recognition events are detected and studied. These advances are advances in scale-high-throughput implementations of traditional biochemical assays that are feasible to perform in any molecular biology laboratory. This chapter utilizes a case study approach to illustrate some methods for analyzing polymorphisms. The first characterizes a functional intronic SNP that deletes a high affinity PTB site using traditional low-throughput biochemical and functional assays. From here we demonstrate the utility of high-throughput splicing and spliceosome assembly assays for screening large sets of SNPs and disease alleles for allelic differences in gene expression. Finally we perform three pilot drug screens with small molecules (G418, tetracycline, and valproic acid) that illustrate how compounds that rescue specific instances of differential pre-mRNA processing can be discovered.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Doctoral Student 2 11%
Student > Master 2 11%
Student > Ph. D. Student 2 11%
Other 1 5%
Other 3 16%
Unknown 6 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 21%
Medicine and Dentistry 4 21%
Biochemistry, Genetics and Molecular Biology 3 16%
Neuroscience 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 11 September 2014.
All research outputs
#4,011,271
of 22,763,032 outputs
Outputs from Advances in experimental medicine and biology
#658
of 4,927 outputs
Outputs of similar age
#72,599
of 400,544 outputs
Outputs of similar age from Advances in experimental medicine and biology
#62
of 405 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,927 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 86% 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 400,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.