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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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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

Jessica K. Lerch, Frank Kuo, Dario Motti, Richard Morris, John L. Bixby, Vance P. Lemmon

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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The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Japan 2 2%
Germany 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
Portugal 1 <1%
Israel 1 <1%
Canada 1 <1%
Unknown 98 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 29%
Researcher 31 28%
Student > Master 9 8%
Professor 8 7%
Student > Bachelor 7 6%
Other 14 13%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 56%
Biochemistry, Genetics and Molecular Biology 16 14%
Medicine and Dentistry 6 5%
Neuroscience 6 5%
Computer Science 5 4%
Other 5 4%
Unknown 11 10%