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Isoform Diversity and Regulation in Peripheral and Central Neurons Revealed through RNA-Seq

Overview of attention for article published in PLOS ONE, January 2012
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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2 Wikipedia pages

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111 Mendeley
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Article details
Title
Isoform Diversity and Regulation in Peripheral and Central Neurons Revealed through RNA-Seq
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030417
Pubmed ID
Authors
Abstract

To fully understand cell type identity and function in the nervous system there is a need to understand neuronal gene expression at the level of isoform diversity. Here we applied Next Generation Sequencing of the transcriptome (RNA-Seq) to purified sensory neurons and cerebellar granular neurons (CGNs) grown on an axonal growth permissive substrate. The goal of the analysis was to uncover neuronal type specific isoforms as a prelude to understanding patterns of gene expression underlying their intrinsic growth abilities. Global gene expression patterns were comparable to those found for other cell types, in that a vast majority of genes were expressed at low abundance. Nearly 18% of gene loci produced more than one transcript. More than 8000 isoforms were differentially expressed, either to different degrees in different neuronal types or uniquely expressed in one or the other. Sensory neurons expressed a larger number of genes and gene isoforms than did CGNs. To begin to understand the mechanisms responsible for the differential gene/isoform expression we identified transcription factor binding sites present specifically in the upstream genomic sequences of differentially expressed isoforms, and analyzed the 3' untranslated regions (3' UTRs) for microRNA (miRNA) target sites. Our analysis defines isoform diversity for two neuronal types with diverse axon growth capabilities and begins to elucidate the complex transcriptional landscape in two neuronal populations.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 5%
Japan 2 2%
Portugal 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Chile 1 <1%
Canada 1 <1%
Unknown 97 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 29%
Researcher 31 28%
Student > Master 9 8%
Professor 8 7%
Student > Bachelor 6 5%
Other 14 13%
Unknown 11 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 63 57%
Biochemistry, Genetics and Molecular Biology 16 14%
Medicine and Dentistry 6 5%
Neuroscience 6 5%
Computer Science 5 5%
Other 4 4%
Unknown 11 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2026.
All research outputs
#11,562,837
of 34,622,316 outputs
Outputs from PLOS ONE
#99,198
of 225,268 outputs
Outputs of similar age
#92,577
of 304,561 outputs
Outputs of similar age from PLOS ONE
#1,437
of 3,515 outputs
Altmetric has tracked 34,622,316 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 225,268 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has gotten more attention than average, scoring higher than 54% 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 304,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 3,515 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 56% of its contemporaries.