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Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish

Overview of attention for article published in BMC Genomics, November 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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6 X users

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26 Dimensions

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Title
Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2135-7
Pubmed ID
Authors

Candida Vaz, Choon Wei Wee, Gek Ping Serene Lee, Philip W. Ingham, Vivek Tanavde, Sinnakaruppan Mathavan

Abstract

The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish, substantially less microRNAs have been discovered in zebrafish compared to human (miRBase Release 19). It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain, gut, liver, ovary, testis, eye, heart and embryo of zebrafish. In brain, gut and liver sequencing was done sex specifically. Majority of the sequenced reads (16-62 %) mapped to known miRNAs, with the exception of ovary (5.7 %) and testis (7.8 %). Using the miRNA discovery tool (miRDeep2), we discovered novel miRNAs from the unannotated reads that ranged from 7.6 to 23.0 %, with exceptions of ovary (51.4 %) and testis (55.2 %). The prediction tool identified a total of 459 novel pre-miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated (22) and sex associated (34) miRNAs, respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further, we have discovered 459 novel pre-miRNAs (~30 % seed homology to human miRNA) as a genomic resource which can facilitate further investigations to understand miRNA-mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs.

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X Demographics

The data shown below were collected from the profiles of 6 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 8 21%
Student > Ph. D. Student 6 15%
Student > Bachelor 5 13%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 7 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 44%
Agricultural and Biological Sciences 9 23%
Medicine and Dentistry 2 5%
Engineering 2 5%
Computer Science 1 3%
Other 2 5%
Unknown 6 15%
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 19 November 2015.
All research outputs
#8,019,403
of 24,792,414 outputs
Outputs from BMC Genomics
#3,634
of 11,067 outputs
Outputs of similar age
#84,639
of 258,010 outputs
Outputs of similar age from BMC Genomics
#139
of 398 outputs
Altmetric has tracked 24,792,414 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 11,067 research outputs from this source. They receive a mean Attention Score of 4.8. 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 258,010 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 398 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.