Evidence map›Paper›PMID 19646242›Full record

ArticleBMC genomics2009

Characterization of the Zoarces viviparus liver transcriptome using massively parallel pyrosequencing.

Erik Kristiansson, Noomi Asker, Lars Förlin, D G Joakim Larsson

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 96 citations in OpenAlex.

  1. Physiological analysis and transcriptome sequencing of a delayed-green leaf mutant 'Duojiao' of ornamental crabapple (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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  15. Genomic toolboxes for conservation biologists.Evolutionary applications · 2012
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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

4 authors at 1 institution in 1 country.

Erik KristianssonDepartment of Zoology, University of Gothenburg, Göteborg, Sweden. erik.kristiansson@zool.gu.se
Noomi Asker
Lars Förlin
D G Joakim Larsson
University of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe teleost Zoarces viviparus (eelpout) lives along the coasts of Northern Europe and has long been an established model organism for marine ecology and environmental monitoring. The scarce information about this species genome has however restrained the use of efficient molecular-level assays, such as gene expression microarrays.

resultsIn the present study we present the first comprehensive characterization of the Zoarces viviparus liver transcriptome. From 400,000 reads generated by massively parallel pyrosequencing, more than 50,000 pieces of putative transcripts were assembled, annotated and functionally classified. The data was estimated to cover roughly 40% of the total transcriptome and homologues for about half of the genes of Gasterosteus aculeatus (stickleback) were identified. The sequence data was consequently used to design an oligonucleotide microarray for large-scale gene expression analysis.

conclusionOur results show that one run using a Genome Sequencer FLX from 454 Life Science/Roche generates enough genomic information for adequate de novo assembly of a large number of genes in a higher vertebrate. The generated sequence data, including the validated microarray probes, are publicly available to promote genome-wide research in Zoarces viviparus.

Indexed as

AnimalsComparative Genomic HybridizationGene Expression ProfilingLiverOligonucleotide Array Sequence AnalysisPerciformesSequence Analysis, DNA

Identifiers

PMID19646242
PMCPMC2725146
OpenAlexW2145023185

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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.