Evidence map›Paper›PMID 18543000›Full record

ArticleParasitology research2008

Identification, characterization of functional candidate genes for host-parasite interactions in entomopathogenetic nematode Steinernema carpocapsae by suppressive subtractive hybridization.

You-Jin Hao, Rafael Montiel, Gisela Nascimento, Duarte Toubarro, Nelson Simoes

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Article in Parasitology research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

5 authors.

You-Jin HaoCIRN, Departamento de Biologia, Universidade dos Acores, Ponta Delgada, Azores, Portugal. youjin@notes.uac.pt
Rafael Montiel
Gisela Nascimento
Duarte Toubarro
Nelson Simoes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying parasitism genes encoding proteins secreted from nematodes is the key to understanding the molecular basis of nematode parasitism to insects. In this paper, a cDNA with two introns and three exons encoding a cysteine protease inhibitor was identified by screening a cDNA subtractive library constructed from the nematode, Steinernema carpocapsae, induced by Galleria mellonella hemolymph. The full-length cDNA contains an open reading frame encoding a 139-amino acid protein, designated Sc-cys, with a 19-residue signal peptide. The mature protein was predicted to have a molecular weight of 12,531.59 Da, a pI of 9.44, one disulfide bond, and three conserved domains believed to be important for the inhibition of cysteine proteases. In Basic Local Alignment and Search Tool analyses, the putative protein precursor displayed 26-42% identities to a multitude of cystatins or cystatin-like proteins. Phylogenetic analysis suggested the novel cystatin is likely a new member of the family 2 cystatins. Reverse northern blot, semi-quantitative reverse transcriptase polymerase chain reaction (RT-PCR), and real-time RT-PCR analyses showed that the expression level of Sc-cys was upregulated substantially after induction by insect hemolymph. The specific analysis of genes encoding secretory proteins is providing a profile of putative parasitism genes expressed in S. carpocapsae throughout the parasitic cycle.

Indexed as

Gene LibraryHost-Parasite InteractionsAmino Acid SequenceAnimalsBase SequenceBlotting, NorthernConserved SequenceCystatinsGene Expression ProfilingHelminth ProteinsHemolymphIsoelectric PointLepidopteraModels, MolecularMolecular Sequence DataMolecular WeightCystatinsHelminth ProteinsProtein Sorting SignalsVirulence Factors

Identifiers

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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.