Evidence map›Paper›PMID 19346077›Full record

ArticleVeterinary parasitology2009

The transcriptomes of the cattle parasitic nematode Ostertagia ostartagi.

Sahar Abubucker, Dante S Zarlenga, John Martin, Yong Yin, Zhengyuan Wang, James P McCarter, Louis Gasbarree, Richard K Wilson, Makedonka Mitreva

Abstract read
In one paragraph

Article in Veterinary parasitology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Assembly and Analysis ofPathogens (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Article
  6. 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

9 authors.

Sahar AbubuckerThe Genome Center, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, United States.
Dante S Zarlenga
John Martin
Yong Yin
Zhengyuan Wang
James P McCarter
Louis Gasbarree
Richard K Wilson
Makedonka Mitreva

Funding

A GENOMIC APPROACH TO PARASITES FROM THE PHYLUM NEMATODAU01AI046593 · NIAID · WASHINGTON UNIVERSITY · PI MITREVA, MAKEDONKA · 2000 to 2007
$4.0M
NIAID NIH HHS AI 46593NIAID NIH HHS U01 AI046593
6 · The paper itself

Abstract

Ostertagia ostertagi is a gastrointestinal parasitic nematode that affects cattle and leads to a loss of production. In this study, we present the first large-scale genomic survey of O. ostertagi by the analysis of expressed transcripts from three stages of the parasite: third-stage larvae, fourth-stage larvae and adult worms. Using an in silico approach, 2284 genes were identified from over 7000 expressed sequence tags and abundant transcripts were analyzed and characterized by their functional profile. Of the 2284 genes, 66% had similarity to other known or predicted genes while the rest were novel and potentially represent genes specific to the species and/or stages. Furthermore, a subset of the novel proteins were structurally annotated and assigned putative function based on orthologs in Caenorhabditis elegans and corresponding RNA interference phenotypes. Hence, over 70% of the genes were annotated using protein sequences, domains and pathway databases. Differentially expressed transcripts from the two larval stages and their functional profiles were also studied leading to a more detailed understanding of the parasite's life-cycle. The identified transcripts are a valuable resource for genomic studies of O. ostertagi and can facilitate the design of control strategies and vaccine programs.

Indexed as

Gene Expression ProfilingAnimalsCattleGene Expression RegulationHelminth ProteinsLarvaOstertagiaHelminth Proteins

Identifiers

PMID19346077
PMCPMC2677129

What OpenQuestion holds

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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.