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Transcriptome Sequencing of Gene Expression in the Brain of the HIV-1 Transgenic Rat

Overview of attention for article published in PLOS ONE, March 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Transcriptome Sequencing of Gene Expression in the Brain of the HIV-1 Transgenic Rat
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059582
Pubmed ID
Authors

Ming D. Li, Junran Cao, Shaolin Wang, Ju Wang, Sraboni Sarkar, Michael Vigorito, Jennie Z. Ma, Sulie L. Chang

Abstract

The noninfectious HIV-1 transgenic (HIV-1Tg) rat was developed as a model of AIDs-related pathology and immune dysfunction by manipulation of a noninfectious HIV-1(gag-pol) virus with a deleted 3-kb SphI-MscI fragment containing the 3' -region of gag and the 5' region of pol into F344 rats. Our previous studies revealed significant behavioral differences between HIV-1Tg and F344 control rats in their performance in the Morris water maze and responses to psychostimulants. However, the molecular mechanisms underlying these behavioral differences remain largely unknown. The primary goal of this study was to identify differentially expressed genes and enriched pathways affected by the gag-pol-deleted HIV-1 genome. Using RNA deep sequencing, we sequenced RNA transcripts in the prefrontal cortex, hippocampus, and striatum of HIV-1Tg and F344 rats. A total of 72 RNA samples were analyzed (i.e., 12 animals per group × 2 strains × 3 brain regions). Following deep-sequencing analysis of 50-bp paired-end reads of RNA-Seq, we used Bowtie/Tophat/Cufflinks suites to align these reads into transcripts based on the Rn4 rat reference genome and to measure the relative abundance of each transcript. Statistical analyses on each brain region in the two strains revealed that immune response- and neurotransmission-related pathways were altered in the HIV-1Tg rats, with brain region differences. Other neuronal survival-related pathways, including those encoding myelin proteins, growth factors, and translation regulators, were altered in the HIV-1Tg rats in a brain region-dependent manner. This study is the first deep-sequencing analysis of RNA transcripts associated the HIV-1Tg rat. Considering the functions of the pathways and brain regions examined in this study, our findings of abnormal gene expression patterns in HIV-1Tg rats suggest mechanisms underlying the deficits in learning and memory and vulnerability to drug addiction and other psychiatric disorders observed in HIV-positive patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 4%
United States 2 4%
Colombia 1 2%
Unknown 51 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 25%
Student > Ph. D. Student 12 21%
Student > Master 8 14%
Student > Doctoral Student 7 13%
Professor > Associate Professor 3 5%
Other 6 11%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 27%
Neuroscience 8 14%
Biochemistry, Genetics and Molecular Biology 6 11%
Psychology 6 11%
Medicine and Dentistry 5 9%
Other 8 14%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 December 2013.
All research outputs
#3,588,480
of 22,710,079 outputs
Outputs from PLOS ONE
#44,464
of 193,906 outputs
Outputs of similar age
#30,508
of 197,387 outputs
Outputs of similar age from PLOS ONE
#1,038
of 5,373 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,906 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 77% 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 197,387 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 5,373 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.