Evidence map›Paper›PMID 25350659›Full record

ArticlePloS one2014

Identification and expression profiling of microRNAs in the brain, liver and gonads of marine medaka (Oryzias melastigma) and in response to hypoxia.

Karen Lau, Keng Po Lai, Jessie Yun Juan Bao, Na Zhang, Anna Tse, Amy Tong, Jing Woei Li, Si Lok, Richard Yuen Chong Kong, Wing Yee Lui and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 77 citations in OpenAlex.

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  9. Identification of microRNAs in Silver Carp (Animals : an open access journal from MDPI · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Karen LauSchool of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory in Marine Pollution, Hong Kong, Hong Kong SAR, China.
Keng Po LaiSchool of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory in Marine Pollution, Hong Kong, Hong Kong SAR, China.
Jessie Yun Juan BaoGenome Research Centre, The Hong Kong Jockey Club Building for Interdisciplinary Research, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Na ZhangGenome Research Centre, The Hong Kong Jockey Club Building for Interdisciplinary Research, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Anna TseSchool of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory in Marine Pollution, Hong Kong, Hong Kong SAR, China.
Amy TongGenome Research Centre, The Hong Kong Jockey Club Building for Interdisciplinary Research, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Jing Woei LiSchool of Life Sciences, Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China.
Si LokGenome Research Centre, The Hong Kong Jockey Club Building for Interdisciplinary Research, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Richard Yuen Chong KongThe State Key Laboratory in Marine Pollution, Hong Kong, Hong Kong SAR, China.
Wing Yee LuiSchool of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Hong Kong SAR, China.
Alice WongSchool of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Hong Kong SAR, China.
Rudolf Shiu Sun WuSchool of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory in Marine Pollution, Hong Kong, Hong Kong SAR, China.
University of Hong Kong · HKHong Kong Jockey Club · CNChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The marine medaka (Oryzias melastigma) has been increasingly used as a fish model for detecting environmental stresses and chemical contaminants in the marine environment. Recent mammalian studies have shown that environmental stresses can alter the expression profiles of microRNAs (miRNAs), leading to transgenerational effects. Here, we use high-throughput Illumina RNA sequencing (RNA-Seq) for miRNA transcriptome analysis of brain, liver, and gonads from sexually mature male and female marine medaka. A total of 128,883,806 filtered sequence reads were generated from six small RNA libraries, identifying a total of 2,125,663 non-redundant sequences. These sequences were aligned and annotated to known animal miRNAs (miRBase) using the BLAST method. A total of 223 distinct miRNA types were identified, with the greatest number expressed in brain tissue. Our data suggested that 55 miRNA types from 34 families are common to all tested tissues, while some of the miRNAs are tissue-enriched or sex-enriched. Quantitative real-time PCR analysis further demonstrated that let-7a, miR-122, and miR-9-3p were downregulated in hypoxic female medaka, while miR-2184 was specifically upregulated in the testis of hypoxic male fish. This is the first study to identify miRNAs in O. melastigma using small RNA deep sequencing technology. Because miRNA expression is highly conserved between marine medaka and other vertebrates, marine medaka may serve as a good model for studies on the functional roles of miRNAs in hypoxia stress response and signaling in marine fish.

Indexed as

Gene Expression ProfilingAnimalsBrainFemaleGene LibraryGonadsHigh-Throughput Nucleotide SequencingHypoxiaLiverMaleMicroRNAsOryziasMicroRNAs

Identifiers

PMID25350659
PMCPMC4211694
OpenAlexW2018784772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.