Evidence map›Paper›PMID 30065900›Full record

ArticlePeerJ2018

Gonadal transcriptome sequencing of the critically endangered

Yeyu Chen, Ya Liu, Quan Gong, Jiansheng Lai, Mingjiang Song, Jun Du, Xiaochuan Deng

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  4. Siberian sturgeon multi-tissue reference transcriptome database.Database : the journal of biological databases and curation · 2020
    Article
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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.

Yeyu Chen *The Sichuan Academy of Agricultural Sciences, The Fishery Institute, Chengdu, China.
Ya Liu *The Sichuan Academy of Agricultural Sciences, The Fishery Institute, Chengdu, China.
Quan GongThe Sichuan Academy of Agricultural Sciences, The Fishery Institute, Chengdu, China.
Jiansheng LaiThe Sichuan Academy of Agricultural Sciences, The Fishery Institute, Chengdu, China.
Mingjiang SongThe Sichuan Academy of Agricultural Sciences, The Fishery Institute, Chengdu, China.
Jun DuThe Sichuan Academy of Agricultural Sciences, The Fishery Institute, Chengdu, China.
Xiaochuan DengThe Sichuan Academy of Agricultural Sciences, The Fishery Institute, Chengdu, China.
Sichuan Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsIn this study, we conducted comparative analysis of the testes and ovaries transcriptomes of

resultsThe transcriptome sequencing of six cDNA libraries generated 265 million clean reads, encompassing 79 Gb of sequences. The N50 and mean length of the identified 91,375 unigenes were 1,718 and 989 bp, respectively. A total of 6,306, 9,961, 13,170, 15,484, and 23,588 unigenes were annotated in the clusters of orthologous groups, gene ontology categories, Kyoto Encyclopedia of Genes and Genomes Pathway, euKaryotic orthologous groups, and NCBI non-redundant protein databases, respectively. A total of 5,396 differentially expressed genes were found between the two sexes, with 1,938 predicted to be up-regulated in ovaries and 3,458 in testes. A total of 73 candidate genes known to be involved in sex differentiation and sexual development were searched in the transcriptome of DISCUSSION: This work represents the first transcriptome study comparing the ovary and testis in

Indexed as

Acipenser dabryanusDifferentially expressed genesOvarySex-related genesTestisTranscriptome

Identifiers

PMID30065900
PMCPMC6065465
OpenAlexW2883716272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.