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Role of plant MicroRNA in cross-species regulatory networks of humans

Overview of attention for article published in BMC Systems Biology, August 2016
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Title
Role of plant MicroRNA in cross-species regulatory networks of humans
Published in
BMC Systems Biology, August 2016
DOI 10.1186/s12918-016-0292-1
Pubmed ID
Authors

Hao Zhang, Yanpu Li, Yuanning Liu, Haiming Liu, Hongyu Wang, Wen Jin, Yanmei Zhang, Chao Zhang, Dong Xu

Abstract

It has been found that microRNAs (miRNAs) can function as a regulatory factor across species. For example, food-derived plant miRNAs may pass through the gastrointestinal (GI) tract, enter into the plasma and serum of mammals, and interact with endogenous RNAs to regulate their expression. Although this new type of regulatory mechanism is not well understood, it provides a fresh look at the relationship between food consumption and physiology. To investigate this new type of mechanism, we conducted a systematic computational study to analyze the potential functions of these dietary miRNAs in the human body. In this paper, we predicted human and plant target genes using RNAhybrid and set some criteria to further filter them. Then we built the cross-species regulatory network according to the filtered targets, extracted central nodes by PageRank algorithm and built core modules. We summarized the functions of these modules to three major categories: ion transport, metabolic process and stress response, and especially some target genes are highly related to ion transport, polysaccharides and the lipid metabolic process. Through functional analysis, we found that human and plants have similar functions such as ion transport and stress response, so our study also indicates the existence of a close link between exogenous plant miRNA targets and digestive/urinary organs. According to our analysis results, we suggest that the ingestion of these plant miRNAs may have a functional impact on consuming organisms in a cross-kingdom way, and the dietary habit may affect the physiological condition at a genetic level. Our findings may be useful for discovering cross-species regulatory mechanism in further study.

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X Demographics

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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Master 10 12%
Student > Bachelor 10 12%
Researcher 9 10%
Student > Postgraduate 5 6%
Other 17 20%
Unknown 17 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 33%
Agricultural and Biological Sciences 26 30%
Medicine and Dentistry 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Chemistry 2 2%
Other 6 7%
Unknown 19 22%
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 01 September 2017.
All research outputs
#14,269,286
of 22,882,389 outputs
Outputs from BMC Systems Biology
#544
of 1,142 outputs
Outputs of similar age
#213,995
of 364,241 outputs
Outputs of similar age from BMC Systems Biology
#14
of 31 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 364,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 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 54% of its contemporaries.