Evidence map›Paper›PMID 27081363›Full record

ArticleSaudi journal of biological sciences2016

Computational prediction of candidate miRNAs and their potential functions in biomineralization in pearl oyster Pinctada martensii.

Zhe Zheng, Yu Jiao, Xiaodong Du, Qunli Tian, Qingheng Wang, Ronglian Huang, Yuewen Deng

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Integrated mRNA and miRNA transcriptomic analysis reveals the response ofComputational and structural biotechnology journal · 2023
    Article
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  5. Digging into bivalve miRNAomes: between conservation and innovation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
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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

7 authors at 1 institution in 1 country.

Zhe ZhengFishery College, Guangdong Ocean University, Zhanjiang, China.
Yu JiaoFishery College, Guangdong Ocean University, Zhanjiang, China.
Xiaodong DuFishery College, Guangdong Ocean University, Zhanjiang, China.
Qunli TianFishery College, Guangdong Ocean University, Zhanjiang, China.
Qingheng WangFishery College, Guangdong Ocean University, Zhanjiang, China.
Ronglian HuangFishery College, Guangdong Ocean University, Zhanjiang, China.
Yuewen DengFishery College, Guangdong Ocean University, Zhanjiang, China.
Guangdong Ocean University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a class of non-coding RNA molecules with presumed post-transcriptional regulatory activity in various biological processes, such as development and biomineralization. Pinctada martensii is one of the main species cultured for marine pearl production in China and Japan. In our previous research, 258 pm-miRNAs had been identified by solexa deep sequencing in P. martensii, while it is far from the number of miRNAs found in other species. In this study, based on the transcriptome database of pearl sac, we identified 30 candidate pm-miRNAs by computational prediction. Among the obtained 30 pm-miRNAs, 13 pm-miRNAs were generated from the complementary strand of protein-coding mRNAs, and 17 pm-miRNAs could not be annotated using blastx and tblastn analysis. Notably, 10 of the 30 pm-miRNAs, such as pm-miR-1b, pm-miR-205b and pm-miR-375b, were homologous with the reported pm-miRNAs, respectively. To validate the existence of the identified pm-miRNAs, eight randomly selected pm-miRNAs were tested by stem loop quantitative RT-PCR analyses using 5.8S as the internal reference gene. Target prediction between the obtained pm-miRNAs and biomineralization-related genes by microTar, miRanda and RNA22 indicated pm-miR-2386 and pm-miR-13b may be the key factors in the regulation network by regulating the formation of organic matrix or the differentiation of mineralogenic cell during shell formation. Thus, this study enriched miRNA databases of pearl oyster and provided a new way to understand biomineralization.

Indexed as

BiomineralizationmiRNAPinctada martensiiTarget prediction

Identifiers

PMID27081363
PMCPMC4818336
OpenAlexW2068939852

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.