Evidence map›Paper›PMID 26150741›Full record

ArticleSaudi journal of biological sciences2015

Prediction and characterization of microRNAs from eleven fish species by computational methods.

Yong Huang, Quan Zou, Hong Tao Ren, Xi Hong Sun

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors at 2 institutions in 1 country.

Yong HuangAnimal Science and Technology College, Henan University of Science and Technology, Luoyang City 471003, Henan Province, PR China.
Quan ZouSchool of Information Science and Technology of Xiamen University, Xiamen City 361005, Fujian Province, PR China.
Hong Tao RenAnimal Science and Technology College, Henan University of Science and Technology, Luoyang City 471003, Henan Province, PR China.
Xi Hong SunAnimal Science and Technology College, Henan University of Science and Technology, Luoyang City 471003, Henan Province, PR China.
Henan University of Science and Technology · CNXiamen University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a family of single-stranded RNA molecules about 22 nt in length, which can regulate protein-coding gene expression in various organisms by post-transcriptional repression of messenger. In this research, the potential miRNAs and their target genes were analyzed and predicted by computational methods from the EST and GSS databases of eleven fish species, 43 potential miRNAs were identified, they belong to 38 miRNA families, some miRNAs are highly conserved in animal kingdom, the predicted target genes are involved in development, signal transduction, response to environmental stress and pathogen invasion. Taken together, our data suggest that there are a plentiful of miRNAs in these eleven fish species, these miRNAs may play some important roles by regulating their target genes, and the data provide important information for further functional studies.

Indexed as

Computational predictionFishFunctionMicroRNATarget

Identifiers

PMID26150741
PMCPMC4486735
OpenAlexW2047526045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.