Evidence map›Paper›PMID 22389732›Full record

ArticlePLoS neglected tropical diseases2012

The transcriptome analysis of Strongyloides stercoralis L3i larvae reveals targets for intervention in a neglected disease.

Antonio Marcilla, Gagan Garg, Dolores Bernal, Shoba Ranganathan, Javier Forment, Javier Ortiz, Carla Muñoz-Antolí, M Victoria Dominguez, Laia Pedrola, Juan Martinez-Blanch and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 50 citations in OpenAlex.

  1. Introduction toJournal of nematology · 2024
    Article
  2. Article
  3. Promising effects of herbal compounds against strongyloidiasis: a systematic review.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Perusal of parasitic nematode 'omics in the post-genomic era.Molecular and biochemical parasitology · 2017
    Review
  10. Article
  11. Article
  12. Current tropical medicine reports · 2014
    Article
  13. Article
  14. Article
  15. Article
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

14 authors at 5 institutions in 3 countries.

Antonio MarcillaÁrea de Parasitología, Departamento de Biologia Celular y Parasitología, Universitat de València, Burjassot, Valencia, Spain. antonio.marcilla@uv.es
Gagan Garg
Dolores Bernal
Shoba Ranganathan
Javier Forment
Javier Ortiz
Carla Muñoz-Antolí
M Victoria Dominguez
Laia Pedrola
Juan Martinez-Blanch
Javier Sotillo
Maria Trelis
Rafael Toledo
J Guillermo Esteban
Universitat de València · ESMacquarie University · AUParc Científic de la Universitat de València · ESHospital General Universitari de Castelló · ESInstituto de Biología Molecular y Celular de Plantas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStrongyloidiasis is one of the most neglected diseases distributed worldwide with endemic areas in developed countries, where chronic infections are life threatening. Despite its impact, very little is known about the molecular biology of the parasite involved and its interplay with its hosts. Next generation sequencing technologies now provide unique opportunities to rapidly address these questions. PRINCIPAL

findingsHere we present the first transcriptome of the third larval stage of S. stercoralis using 454 sequencing coupled with semi-automated bioinformatic analyses. 253,266 raw sequence reads were assembled into 11,250 contiguous sequences, most of which were novel. 8037 putative proteins were characterized based on homology, gene ontology and/or biochemical pathways. Comparison of the transcriptome of S. strongyloides with those of other nematodes, including S. ratti, revealed similarities in transcription of molecules inferred to have key roles in parasite-host interactions. Enzymatic proteins, like kinases and proteases, were abundant. 1213 putative excretory/secretory proteins were compiled using a new pipeline which included non-classical secretory proteins. Potential drug targets were also identified.

conclusionsOverall, the present dataset should provide a solid foundation for future fundamental genomic, proteomic and metabolomic explorations of S. stercoralis, as well as a basis for applied outcomes, such as the development of novel methods of intervention against this neglected parasite.

Indexed as

Gene Expression ProfilingHost-Pathogen InteractionsAnimalsDNA, ProtozoanHumansLarvaMolecular Sequence DataNeglected DiseasesSequence Analysis, DNAStrongyloides stercoralisStrongyloidiasisDNA, Protozoan

Identifiers

PMID22389732
PMCPMC3289599
OpenAlexW1985264957

What OpenQuestion holds

Textmetadata
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.