↓ Skip to main content

Defining the nociceptor transcriptome

Overview of attention for article published in Frontiers in Molecular Neuroscience, November 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
148 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Defining the nociceptor transcriptome
Published in
Frontiers in Molecular Neuroscience, November 2014
DOI 10.3389/fnmol.2014.00087
Pubmed ID
Authors

Matthew Thakur, Megan Crow, Natalie Richards, Gareth I. J. Davey, Emma Levine, Jayne H. Kelleher, Chibeza C. Agley, Franziska Denk, Stephen D. R. Harridge, Stephen B. McMahon

Abstract

Unbiased "omics" techniques, such as next generation RNA-sequencing, can provide entirely novel insights into biological systems. However, cellular heterogeneity presents a significant barrier to analysis and interpretation of these datasets. The neurons of the dorsal root ganglia (DRG) are an important model for studies of neuronal injury, regeneration and pain. The majority of investigators utilize a dissociated preparation of whole ganglia when studying cellular and molecular function. We demonstrate that the standard methods for producing these preparations gives a 10%-neuronal mixture of cells, with the remainder of cells constituting satellite glia and other non-neuronal cell types. Using a novel application of magnetic purification, we consistently obtain over 95% pure, viable neurons from adult tissue, significantly enriched for small diameter nociceptors expressing the voltage gated ion channel Nav1.8. Using genome-wide RNA-sequencing we compare the currently used (10% neuronal) and pure (95% nociceptor) preparations and find 920 genes enriched. This gives an unprecedented insight into the molecular composition of small nociceptive neurons in the DRG, potentially altering the interpretation of previous studies performed at the tissue level, and indicating a number of novel markers of this widely-studied population of cells. We anticipate that the ease of use, affordability and speed of this technique will see it become widely adopted, delivering a greatly improved capacity to study the roles of nociceptors in health and disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Spain 2 1%
Korea, Republic of 1 <1%
Chile 1 <1%
France 1 <1%
United States 1 <1%
Unknown 140 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 30%
Researcher 28 19%
Student > Master 15 10%
Student > Bachelor 15 10%
Student > Doctoral Student 8 5%
Other 16 11%
Unknown 22 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 25%
Neuroscience 30 20%
Biochemistry, Genetics and Molecular Biology 22 15%
Medicine and Dentistry 12 8%
Immunology and Microbiology 5 3%
Other 13 9%
Unknown 29 20%
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 17 November 2014.
All research outputs
#7,137,226
of 22,770,070 outputs
Outputs from Frontiers in Molecular Neuroscience
#977
of 2,860 outputs
Outputs of similar age
#80,210
of 258,972 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#6
of 17 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,860 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 65% 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 258,972 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 17 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 64% of its contemporaries.