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Identification of IncRNA Expression Profile in the Spinal Cord of Mice following Spinal Nerve Ligation-Induced Neuropathic Pain

Overview of attention for article published in Molecular Pain, July 2015
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Title
Identification of IncRNA Expression Profile in the Spinal Cord of Mice following Spinal Nerve Ligation-Induced Neuropathic Pain
Published in
Molecular Pain, July 2015
DOI 10.1186/s12990-015-0047-9
Pubmed ID
Authors

Bao-Chun Jiang, Wen-Xing Sun, Li-Na He, De-Li Cao, Zhi-Jun Zhang, Yong-Jing Gao

Abstract

Neuropathic pain that caused by lesion or dysfunction of the nervous system is associated with gene expression changes in the sensory pathway. Long noncoding RNAs (lncRNAs) have been reported to be able to regulate gene expression. Identifying lncRNA expression patterns in the spinal cord under normal and neuropathic pain conditions is essential for understanding the genetic mechanisms behind the pathogenesis of neuropathic pain. Spinal nerve ligation (SNL) induced rapid and persistent pain hypersensitivity, characterized by mechanical allodynia and heat hyperalgesia. Meanwhile, astrocytes and microglia were dramatically activated in the ipsilateral spinal cord dorsal horn at 10 days after SNL. Further lncRNA microarray and mRNA microarray analysis showed that the expression profiles of lncRNA and mRNA between SNL and sham-operated mice were greatly changed at 10 days. The 511 differentially expressed (>2 fold) lncRNAs (366 up-regulated, 145 down-regulated) and 493 mRNAs (363 up-regulated, 122 down-regulated) were finally identified. The expression patterns of several lncRNAs and mRNAs were further confirmed by qPCR. Functional analysis of differentially expressed (DE) mRNAs showed that the most significant enriched biological processes of up-regulated genes in SNL include immune response, defense response, and inflammation response, which are important pathogenic mechanisms underlying neuropathic pain. 35 DE lncRNAs have neighboring or overlapping DE mRNAs in genome, which is related to Toll-like receptor signaling, cytokine-cytokine receptor interaction, and peroxisome proliferator-activated receptor signaling pathway. Our findings uncovered the expression pattern of lncRNAs and mRNAs in the mice spinal cord under neuropathic pain condition. These lncRNAs and mRNAs may represent new therapeutic targets for the treatment of neuropathic pain.

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The data shown below were collected from the profiles of 2 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
United Kingdom 1 2%
Denmark 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 8 16%
Student > Ph. D. Student 7 14%
Student > Bachelor 4 8%
Other 4 8%
Other 8 16%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Biochemistry, Genetics and Molecular Biology 6 12%
Agricultural and Biological Sciences 6 12%
Neuroscience 6 12%
Unspecified 2 4%
Other 4 8%
Unknown 15 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 March 2016.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Molecular Pain
#372
of 669 outputs
Outputs of similar age
#154,493
of 258,638 outputs
Outputs of similar age from Molecular Pain
#5
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 669 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 258,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.