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Region-Resolved Quantitative Proteome Profiling Reveals Molecular Dynamics Associated With Chronic Pain in the PNS and Spinal Cord

Overview of attention for article published in Frontiers in Molecular Neuroscience, August 2018
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Title
Region-Resolved Quantitative Proteome Profiling Reveals Molecular Dynamics Associated With Chronic Pain in the PNS and Spinal Cord
Published in
Frontiers in Molecular Neuroscience, August 2018
DOI 10.3389/fnmol.2018.00259
Pubmed ID
Authors

Allison M. Barry, Julia R. Sondermann, Jan-Hendrik Sondermann, David Gomez-Varela, Manuela Schmidt

Abstract

To obtain a thorough understanding of chronic pain, large-scale molecular mapping of the pain axis at the protein level is necessary, but has not yet been achieved. We applied quantitative proteome profiling to build a comprehensive protein compendium of three regions of the pain neuraxis in mice: the sciatic nerve (SN), the dorsal root ganglia (DRG), and the spinal cord (SC). Furthermore, extensive bioinformatics analysis enabled us to reveal unique protein subsets which are specifically enriched in the peripheral nervous system (PNS) and SC. The immense value of these datasets for the scientific community is highlighted by validation experiments, where we monitored protein network dynamics during neuropathic pain. Here, we resolved profound region-specific differences and distinct changes of PNS-enriched proteins under pathological conditions. Overall, we provide a unique and validated systems biology proteome resource (summarized in our online database painproteome.em.mpg.de), which facilitates mechanistic insights into somatosensory biology and chronic pain-a prerequisite for the identification of novel therapeutic targets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 4 13%
Researcher 4 13%
Student > Bachelor 2 6%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 6 19%
Readers by discipline Count As %
Neuroscience 12 38%
Agricultural and Biological Sciences 4 13%
Biochemistry, Genetics and Molecular Biology 3 9%
Medicine and Dentistry 2 6%
Nursing and Health Professions 1 3%
Other 4 13%
Unknown 6 19%
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 25 August 2018.
All research outputs
#20,530,891
of 23,102,082 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,508
of 2,931 outputs
Outputs of similar age
#289,001
of 331,102 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#108
of 123 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,931 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.