Evidence map›Paper›PMID 26871705›Full record

ArticlePLoS pathogens2016

MicroRNAs Are Involved in the Regulation of Ovary Development in the Pathogenic Blood Fluke Schistosoma japonicum.

Lihui Zhu, Jiangping Zhao, Jianbin Wang, Chao Hu, Jinbiao Peng, Rong Luo, Chunjing Zhou, Juntao Liu, Jiaojiao Lin, Youxin Jin and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2016. 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 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 81 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Lihui ZhuShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Jiangping ZhaoShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Jianbin WangDepartments of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
Chao HuShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Jinbiao PengShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Rong LuoShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Chunjing ZhouShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Juntao LiuShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Jiaojiao LinShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Youxin JinSchool of Life Sciences, Shanghai University, Shanghai, China.
Richard E DavisDepartments of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
Guofeng ChengShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Animal Parasitology, Ministry of Agriculture, Beijing, China.
Shanghai Veterinary Research Institute · CNChinese Academy of Agricultural Sciences · CNUniversity of Colorado Denver · USShanghai University · CN

Funding

Chromatin diminution in nematodesR01AI114054 · NIAID · UNIVERSITY OF COLORADO DENVER · PI DAVIS, RICHARD E. · 2015 to 2019
$2.5M
NIAID NIH HHS R01 AI114054
6 · The paper itself

Abstract

Schistosomes, blood flukes, are an important global public health concern. Paired adult female schistosomes produce large numbers of eggs that are primarily responsible for the disease pathology and critical for dissemination. Consequently, understanding schistosome sexual maturation and egg production may open novel perspectives for intervening with these processes to prevent clinical symptoms and to interrupt the life-cycle of these blood-flukes. microRNAs (miRNAs) are key regulators of many biological processes including development, cell proliferation, metabolism, and signal transduction. Here, we report on the identification of Schistosoma japonicum miRNAs using small RNA deep sequencing in the key stages of male-female pairing, gametogenesis, and egg production. We identified 38 miRNAs, including 10 previously unknown miRNAs. Eighteen of the miRNAs were differentially expressed between male and female schistosomes and during different stages of sexual maturation. We identified 30 potential target genes for 16 of the S. japonicum miRNAs using antibody-based pull-down assays and bioinformatic analyses. We further validated some of these target genes using either in vitro luciferase assays or in vivo miRNA suppression experiments. Notably, suppression of the female enriched miRNAs bantam and miR-31 led to morphological alteration of ovaries in female schistosomes. These findings uncover key roles for specific miRNAs in schistosome sexual maturation and egg production.

Indexed as

AnimalsBase SequenceFemaleHigh-Throughput Nucleotide SequencingMaleMice, Inbred BALB CMicroRNAsOvaryRabbitsSchistosoma japonicumSchistosomiasisSequence Analysis, RNASex DifferentiationMicroRNAs

Identifiers

PMID26871705
PMCPMC4752461
OpenAlexW2256657354

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.