Evidence map›Paper›PMID 33238003›Full record

ArticleDatabase : the journal of biological databases and curation2020

Siberian sturgeon multi-tissue reference transcriptome database.

Christophe Klopp, Cédric Cabau, Gonzalo Greif, André Lasalle, Santiago Di Landro, Denise Vizziano-Cantonnet

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

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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

2 citing papers in PubMed.

  1. 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

6 authors.

Christophe KloppSIGENAE, Genotoul Bioinfo, MIAT UR875, INRAe, Chemin de Borde-Rouge - Auzeville BP 52627, 31326 CASTANET-TOLOSAN CEDEX, France.
Cédric CabauSIGENAE, GenPhySE, Université de Toulouse, INRAe, ENVT, Chemin de Borde-Rouge - Auzeville BP 52627, 31326 CASTANET-TOLOSAN CEDEX, France.
Gonzalo GreifLaboratorio de Interacción Hospedero-Patógeno/Unidad de Biología Molecular, Instituto Pasteur de Montevideo, Mataojo 2020, Montevideo 11400, Uruguay.
André LasalleLaboratorio de Fisiología de la Reproducción y Ecología de Peces, Instituto de Biología, Facultad de Ciencias, Universidad de la República Oriental del Uruguay, Iguá 4225, Montevideo 11 400, Uruguay.
Santiago Di LandroLaboratorio de Fisiología de la Reproducción y Ecología de Peces, Instituto de Biología, Facultad de Ciencias, Universidad de la República Oriental del Uruguay, Iguá 4225, Montevideo 11 400, Uruguay.
Denise Vizziano-CantonnetLaboratorio de Fisiología de la Reproducción y Ecología de Peces, Instituto de Biología, Facultad de Ciencias, Universidad de la República Oriental del Uruguay, Iguá 4225, Montevideo 11 400, Uruguay.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationSiberian sturgeon is a long lived and late maturing fish farmed for caviar production in 50 countries. Functional genomics enable to find genes of interest for fish farming. In the absence of a reference genome, a reference transcriptome is very useful for sequencing based functional studies.

resultsWe present here a high-quality transcriptome assembly database built using RNA-seq reads coming from brain, pituitary, gonadal, liver, stomach, kidney, anterior kidney, heart, embryonic and pre-larval tissues. It will facilitate crucial research on topics such as puberty, reproduction, growth, food intake and immunology. This database represents a major contribution to the publicly available sturgeon transcriptome reference datasets. AVAILABILITY: The database is publicly available at http://siberiansturgeontissuedb.sigenae.org Supplementary information:  Supplementary data are available at Database online.

Indexed as

FishesTranscriptomeAnimalsGene Expression ProfilingGenomeSequence AnalysisSequence Analysis, RNA

Identifiers

PMID33238003
PMCPMC7687680

What OpenQuestion holds

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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.