Evidence map›Paper›PMID 28073746›Full record

ArticleBriefings in bioinformatics2018

miRDis: a Web tool for endogenous and exogenous microRNA discovery based on deep-sequencing data analysis.

Hanyuan Zhang, Bruno Vieira Resende E Silva, Juan Cui

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. The Multiverse of Plant Small RNAs: How Can We Explore It?International journal of molecular sciences · 2022
    Review
  3. Review
  4. MicroRNA Databases and Tools.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Nutrition, microRNAs, and Human Health.Advances in nutrition (Bethesda, Md.) · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Hanyuan ZhangSystems Biology and Biomedical Informatics (SBBI) Laboratory, Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Bruno Vieira Resende E SilvaSystems Biology and Biomedical Informatics (SBBI) Laboratory, Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Juan CuiSystems Biology and Biomedical Informatics (SBBI) Laboratory, Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
University of Nebraska–Lincoln · US

Funding

The role of stress in the fetal origin of obesity and metabolic dysfunctionP20GM104320 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI ZEMPLENI, JANOS · 2014 to 2024
$24.9M
NIGMS NIH HHS P20 GM104320
6 · The paper itself

Abstract

Small RNA sequencing is the most widely used tool for microRNA (miRNA) discovery, and shows great potential for the efficient study of miRNA cross-species transport, i.e., by detecting the presence of exogenous miRNA sequences in the host species. Because of the increased appreciation of dietary miRNAs and their far-reaching implication in human health, research interests are currently growing with regard to exogenous miRNAs bioavailability, mechanisms of cross-species transport and miRNA function in cellular biological processes. In this article, we present microRNA Discovery (miRDis), a new small RNA sequencing data analysis pipeline for both endogenous and exogenous miRNA detection. Specifically, we developed and deployed a Web service that supports the annotation and expression profiling data of known host miRNAs and the detection of novel miRNAs, other noncoding RNAs, and the exogenous miRNAs from dietary species. As a proof-of-concept, we analyzed a set of human plasma sequencing data from a milk-feeding study where 225 human miRNAs were detected in the plasma samples and 44 show elevated expression after milk intake. By examining the bovine-specific sequences, data indicate that three bovine miRNAs (bta-miR-378, -181* and -150) are present in human plasma possibly because of the dietary uptake. Further evaluation based on different sets of public data demonstrates that miRDis outperforms other state-of-the-art tools in both detection and quantification of miRNA from either animal or plant sources. The miRDis Web server is available at: http://sbbi.unl.edu/miRDis/index.php.

Indexed as

SoftwareComputational BiologyHigh-Throughput Nucleotide SequencingHumansInternetMicroRNAsMolecular Sequence AnnotationSequence Analysis, RNAMicroRNAs

Identifiers

PMID28073746
PMCPMC5952930
OpenAlexW2569656603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.