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Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling

Overview of attention for article published in BMC Genomics, January 2015
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Title
Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling
Published in
BMC Genomics, January 2015
DOI 10.1186/1471-2164-16-s2-s12
Pubmed ID
Authors

Sheng-Da Hsu, Hsi-Yuan Huang, Chih-Hung Chou, Yi-Ming Sun, Ming-Ta Hsu, Ann-Ping Tsou

Abstract

MicroRNAs (miRNAs) simultaneously target many transcripts through partial complementarity binding, and have emerged as a key type of post-transcriptional regulator for gene expression. How miRNA accomplishes its pleiotropic effects largely depends on its expression and its target repertoire. Previous studies discovered thousands of miRNAs and numerous miRNA target genes mainly through computation and prediction methods which produced high rates of false positive prediction. The development of Argonaute cross-linked immunoprecipitation coupled with high-throughput sequencing (CLIP-Seq) provides a system to effectively determine miRNA target genes. Likewise, the accuracy of dissecting the transcriptional regulation of miRNA genes has been greatly improved by chromatin immunoprecipitation of the transcription factors coupled with sequencing (ChIP-Seq). Elucidation of the miRNA target repertoire will provide an in-depth understanding of the functional roles of microRNA pathways. To reliably reconstruct a miRNA-mediated regulatory network, we established a computational framework using publicly available, sequence-based transcription factor-miRNA databases, including ChIPBase and TransmiR for the TF-miRNA interactions, along with miRNA-target databases, including miRTarBase, TarBase and starBase, for the miRNA-target interactions. We applied the computational framework to elucidate the miRNA-mediated regulatory network in the Mir122a-/- mouse model, which has an altered transcriptome and progressive liver disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 7 21%
Student > Postgraduate 3 9%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 8 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 32%
Agricultural and Biological Sciences 10 29%
Medicine and Dentistry 4 12%
Computer Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 February 2015.
All research outputs
#13,936,629
of 22,792,160 outputs
Outputs from BMC Genomics
#5,345
of 10,648 outputs
Outputs of similar age
#181,517
of 351,785 outputs
Outputs of similar age from BMC Genomics
#130
of 276 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 351,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 276 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.