Evidence map›Paper›PMID 36927412›Full record

ArticleBMC genomics2023

RNA binding proteins are potential novel biomarkers of egg quality in yellow catfish.

Fan Ren, Quan Zhou, Yinglu Meng, Wenjie Guo, Qin Tang, Jie Mei

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Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Identification and Functional Analysis of E3 Ubiquitin LigaseAnimals : an open access journal from MDPI · 2024
    Article
4 · The record

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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

6 authors.

Fan Ren *College of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China.
Quan Zhou *College of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China.
Yinglu MengCollege of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China.
Wenjie GuoCollege of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China.
Qin TangCollege of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China. tangqin@mail.hzau.edu.cn.
Jie MeiCollege of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China. jmei@mail.hzau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEgg quality is a major concern in fish reproduction and development. An effective evaluation of egg quality prior to fertilization is helpful in improving the fertilization rate and survival rate of the larva. In this study, we aim to identify quality instructors from the combination study of fertilization rate, hatching rate, embryo malformation rate and gene expression profile.

resultsEggs from 25 female fish were fertilized with sperm from the same fish. The egg quality was determined by the fertilization rates, hatching rate and embryo malformation rate and divided into three categories, low-quality (< 35%), medium-quality (35 to 75%), and high-quality (> 75%). Due to the distinct difference in fertilization, hatching and embryo malformation rate between low-quality eggs and high-quality eggs, these two groups were considered for the identification of quality markers. Then RNA-seq was performed for the originally preserved eggs from the low-quality group and high-quality group. We profiled the differentially expressed genes and identified a group of RNA-binding proteins (RBPs) as potential regulators. Gene function analysis indicated that most of these genes were enriched in RNA-regulated pathways including RNA processing. The RBPs were more related to egg quality from the PLS-DA analysis. Finally, gene expression was validated by qRT-PCR.

conclusionsWe found a cluster of RBP genes including igf2bp3, zar1, elavl1, rbm25b and related regulatory factors including yy1, sirt1, anp32e, btg4 as novel biomarkers of egg quality.

Indexed as

CatfishesAnimalsBiomarkersFemaleFertilizationMaleOvumReproductionRNA-Binding ProteinsSemenBiomarkersRNA-Binding ProteinsBiomarkerEgg qualityGene expressionRNA-binding proteins

Identifiers

PMID36927412
PMCPMC10018890

What Socratic holds

Textfull text, public
LicenceCC BY
reference markers read3
measurements read29
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 Socratic graph.