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Network analysis of microRNA and mRNA seasonal dynamics in a highly plastic sensorimotor neural circuit

Overview of attention for article published in BMC Genomics, November 2015
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Network analysis of microRNA and mRNA seasonal dynamics in a highly plastic sensorimotor neural circuit
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2175-z
Pubmed ID
Authors

Tracy A. Larson, Karin L. Lent, Theo K. Bammler, James W. MacDonald, William E. Wood, Melissa L. Caras, Nivretta M. Thatra, Agata Budzillo, David J. Perkel, Eliot A. Brenowitz

Abstract

Adult neurogenesis and the incorporation of adult-born neurons into functional circuits requires precise spatiotemporal coordination across molecular networks regulating a wide array of processes, including cell proliferation, apoptosis, neurotrophin signaling, and electrical activity. MicroRNAs (miRs) - short, non-coding RNA sequences that alter gene expression by post-transcriptional inhibition or degradation of mRNA sequences - may be involved in the global coordination of such diverse biological processes. To test the hypothesis that miRs related to adult neurogenesis and related cellular processes are functionally regulated in the nuclei of the avian song control circuit, we used microarray analyses to quantify changes in expression of miRs and predicted target mRNAs in the telencephalic nuclei HVC, the robust nucleus of arcopallium (RA), and the basal ganglia homologue Area X in breeding and nonbreeding Gambel's white-crowned sparrows (Zonotrichia leucophrys gambelli). We identified 46 different miRs that were differentially expressed across seasons in the song nuclei. miR-132 and miR-210 showed the highest differential expression in HVC and Area X, respectively. Analyzing predicted mRNA targets of miR-132 identified 33 candidate target genes that regulate processes including cell cycle control, calcium signaling, and neuregulin signaling in HVC. Likewise, miR-210 was predicted to target 14 mRNAs differentially expressed across seasons that regulate serotonin, GABA, and dopamine receptor signaling and inflammation. Our results identify potential miR-mRNA regulatory networks related to adult neurogenesis and provide opportunities to discover novel genetic control of the diverse biological processes and factors related to the functional incorporation of new neurons to the adult brain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Researcher 7 18%
Student > Bachelor 4 11%
Other 2 5%
Student > Master 2 5%
Other 3 8%
Unknown 10 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 21%
Neuroscience 7 18%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 13%
Unknown 11 29%
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 20 July 2016.
All research outputs
#7,224,054
of 22,832,057 outputs
Outputs from BMC Genomics
#3,428
of 10,655 outputs
Outputs of similar age
#92,588
of 285,670 outputs
Outputs of similar age from BMC Genomics
#138
of 392 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 285,670 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 66% of its contemporaries.
We're also able to compare this research output to 392 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.