Evidence map›Paper›PMID 25600302›Full record

ArticleParasites & vectors2015

Functional analysis of Girardia tigrina transcriptome seeds pipeline for anthelmintic target discovery.

Nicolas J Wheeler, Prince N Agbedanu, Michael J Kimber, Paula Ribeiro, Tim A Day, Mostafa Zamanian

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2015. 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
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 12 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

6 authors at 2 institutions in 2 countries.

Nicolas J WheelerDepartment of Biomedical Sciences, Iowa State University, Ames, IA, 50010, USA. wheelern@iastate.edu.
Prince N AgbedanuDepartment of Biomedical Sciences, Iowa State University, Ames, IA, 50010, USA. agbedanu@iastate.edu.
Michael J KimberDepartment of Biomedical Sciences, Iowa State University, Ames, IA, 50010, USA. michaelk@iastate.edu.
Paula RibeiroInstitute of Parasitology, McGill University, Ste. Anne de Bellevue, QC, H9X 3V9, Canada. paula.ribeiro@mcgill.ca.
Tim A DayDepartment of Biomedical Sciences, Iowa State University, Ames, IA, 50010, USA. day@iastate.edu.
Mostafa ZamanianDepartment of Biomedical Sciences, Iowa State University, Ames, IA, 50010, USA. zamanian@northwestern.edu.
Iowa State University · USMcGill University · CA

Funding

NINR NIH HHS NR-21962
6 · The paper itself

Abstract

backgroundNeglected diseases caused by helminth infections impose a massive hindrance to progress in the developing world. While basic research on parasitic flatworms (platyhelminths) continues to expand, researchers have yet to broadly adopt a free-living model to complement the study of these important parasites.

methodsWe report the high-coverage sequencing (RNA-Seq) and assembly of the transcriptome of the planarian Girardia tigrina across a set of dynamic conditions. The assembly was annotated and extensive orthology analysis was used to seed a pipeline for the rational prioritization and validation of putative anthelmintic targets. A small number of targets conserved between parasitic and free-living flatworms were comparatively interrogated.

results240 million paired-end reads were assembled de novo to produce a strictly filtered predicted proteome consisting of over 22,000 proteins. Gene Ontology annotations were extended to 16,467 proteins. 2,693 sequences were identified in orthology groups spanning flukes, tapeworms and planaria, with 441 highlighted as belonging to druggable protein families. Chemical inhibitors were used on three targets in pharmacological screens using both planaria and schistosomula, revealing distinct motility phenotypes that were shown to correlate with planarian RNAi phenotypes.

conclusionsThis work provides the first comprehensive and annotated sequence resource for the model planarian G. tigrina, alongside a prioritized list of candidate drug targets conserved among parasitic and free-living flatworms. As proof of principle, we show that a simple RNAi and pharmacology pipeline in the more convenient planarian model system can inform parasite biology and serve as an efficient screening tool for the identification of lucrative anthelmintic targets.

Indexed as

AnimalsAnthelminticsBase SequenceDrug DiscoveryDrug Evaluation, PreclinicalMolecular Sequence AnnotationMolecular Sequence DataPlanariansRNA InterferenceSequence Analysis, RNASpecies SpecificityTranscriptomeAnthelmintics

Identifiers

PMID25600302
PMCPMC4304616
OpenAlexW2165980173

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.