Evidence map›Paper›PMID 26719891›Full record

ArticlePLoS neglected tropical diseases2015

Schistosoma mansoni Egg, Adult Male and Female Comparative Gene Expression Analysis and Identification of Novel Genes by RNA-Seq.

Letícia Anderson, Murilo S Amaral, Felipe Beckedorff, Lucas F Silva, Bianca Dazzani, Katia C Oliveira, Giulliana T Almeida, Monete R Gomes, David S Pires, João C Setubal and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PLoS neglected tropical diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
7.7field-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

56 citing papers in PubMed, 93 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Letícia AndersonDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Murilo S AmaralDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Felipe BeckedorffDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Lucas F SilvaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Bianca DazzaniDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Katia C OliveiraNúcleo de Enteroparasitas, Centro de Parasitologia e Micologia, Instituto Adolfo Lutz, São Paulo, SP, Brazil.
Giulliana T AlmeidaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Monete R GomesDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
David S PiresDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
João C SetubalDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Ricardo DeMarcoInstituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil.
Sergio Verjovski-AlmeidaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.
Universidade de São Paulo · BRInstituto Butantan · BRInstituto Adolfo Lutz · BRVirginia Tech · US

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundSchistosomiasis is one of the most prevalent parasitic diseases worldwide and is a public health problem. Schistosoma mansoni is the most widespread species responsible for schistosomiasis in the Americas, Middle East and Africa. Adult female worms (mated to males) release eggs in the hepatic portal vasculature and are the principal cause of morbidity. Comparative separate transcriptomes of female and male adult worms were previously assessed with using microarrays and Serial Analysis of Gene Expression (SAGE), thus limiting the possibility of finding novel genes. Moreover, the egg transcriptome was analyzed only once with limited bacterially cloned cDNA libraries. METHODOLOGY/PRINCIPAL

findingsTo compare the gene expression of S. mansoni eggs, females, and males, we performed RNA-Seq on these three parasite forms using 454/Roche technology and reconstructed the transcriptome using Trinity de novo assembly. The resulting contigs were mapped to the genome and were cross-referenced with predicted Smp genes and H3K4me3 ChIP-Seq public data. For the first time, we obtained separate, unbiased gene expression profiles for S. mansoni eggs and female and male adult worms, identifying enriched biological processes and specific enriched functions for each of the three parasite forms. Transcripts with no match to predicted genes were analyzed for their protein-coding potential and the presence of an encoded conserved protein domain. A set of 232 novel protein-coding genes with putative functions related to reproduction, metabolism, and cell biogenesis was detected, which contributes to the understanding of parasite biology. CONCLUSIONS/SIGNIFICANCE: Large-scale RNA-Seq analysis using de novo assembly associated with genome-wide information for histone marks in the vicinity of gene models constitutes a new approach to transcriptome analysis that has not yet been explored in schistosomes. Importantly, all data have been consolidated into a UCSC Genome Browser search- and download-tool (http://schistosoma.usp.br/). This database provides new ways to explore the schistosome genome and transcriptome and will facilitate molecular research on this important parasite.

Indexed as

TranscriptomeAfricaAnimalsBase SequenceFemaleGene Expression ProfilingMaleMiddle EastMolecular Sequence DataRNA, HelminthSchistosoma mansoniSchistosomiasis mansoniSequence Analysis, RNARNA, Helminth

Identifiers

PMID26719891
PMCPMC4699917
OpenAlexW2217504199

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.