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Proteomic analysis of rat prefrontal cortex after chronic valproate treatment

Overview of attention for article published in Journal of Neuroscience Research, April 2014
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Title
Proteomic analysis of rat prefrontal cortex after chronic valproate treatment
Published in
Journal of Neuroscience Research, April 2014
DOI 10.1002/jnr.23373
Pubmed ID
Authors

Muthusamy Thangavel, Ratnam S. Seelan, Jaganathan Lakshmanan, Robert E. Vadnal, John I. Stagner, Latha K. Parthasarathy, Manuel F. Casanova, Rifaat Shody El‐Mallakh, Ranga N. Parthasarathy

Abstract

Valproic acid (VPA) is commonly used to treat bipolar disorder (BD), but its therapeutic role has not been clearly elucidated. To gain insights into VPA's mechanism of action, proteomic analysis was used to identify differentially expressed proteins in the rat prefrontal cortex (PFC), a region particularly affected in BD, after 6 weeks of VPA treatment. Proteins from PFCs of control and VPA-treated rats were separated by 2D-DIGE and identified by mass spectrometry. Among the 2,826 protein spots resolved, the abundance of 19 proteins was found to be significantly altered in the VPA-treated group (with the levels of three proteins increasing and 16 decreasing). Seven proteins whose levels were significantly altered after chronic VPA exposure were quantified by Western blot analysis. The 19 identified proteins represent potential new targets for VPA action and should aid in our understanding of the role of VPA in BD.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Master 3 18%
Researcher 2 12%
Other 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 5 29%
Readers by discipline Count As %
Neuroscience 3 18%
Psychology 2 12%
Medicine and Dentistry 2 12%
Social Sciences 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 2 12%
Unknown 6 35%
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 03 January 2015.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Journal of Neuroscience Research
#3,505
of 3,763 outputs
Outputs of similar age
#176,012
of 239,200 outputs
Outputs of similar age from Journal of Neuroscience Research
#13
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 3rd percentile – i.e., 3% 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 239,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.