ArticleBMC genomics2012
Helminth secretome database (HSD): a collection of helminth excretory/secretory proteins predicted from expressed sequence tags (ESTs).
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 41 citations in OpenAlex.
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- Antigen discovery by bioinformatics analysis and peptide microarray for the diagnosis of cystic echinococcosis.PLoS neglected tropical diseases · 2023Article
- Parasitic nematode secreted phospholipase AFrontiers in immunology · 2023Article
- Annexin in Taenia crassiceps ORF Strain is Localized in the Osmoregulatory System.Acta parasitologica · 2022Article
- The parasite Schistocephalus solidus secretes proteins with putative host manipulation functions.Parasites & vectors · 2021Article
- Transcriptome and excretory-secretory proteome of infective-stage larvae of the nematode Gnathostoma spinigerum reveal potential immunodiagnostic targets for development.Parasite (Paris, France) · 2019Article
- De novo genome and transcriptome analyses provide insights into the biology of the trematode human parasite Fasciolopsis buski.PloS one · 2018Article
- The prediction of a pathogenesis-related secretome of Puccinia helianthi through high-throughput transcriptome analysis.BMC bioinformatics · 2017Article
- The omic approach to parasitic trematode research-a review of techniques and developments within the past 5 years.Parasitology research · 2016Review
- Genome-wide analysis of excretory/secretory proteins in Echinococcus multilocularis: insights into functional characteristics of the tapeworm secretome.Parasites & vectors · 2015Article
- Genome analysis of Excretory/Secretory proteins in Taenia solium reveals their Abundance of Antigenic Regions (AAR).Scientific reports · 2015Article
- Comparative transcriptome profiling approach to glean virulence and immunomodulation-related genes of Fasciola hepatica.BMC genomics · 2015Article
- Transcriptome Bioinformatical Analysis of Vertebrate Stages of Schistosoma japonicum Reveals Alternative Splicing Events.PloS one · 2015Article
- Article
- Transcriptome profiles of the protoscoleces of Echinococcus granulosus reveal that excretory-secretory products are essential to metabolic adaptation.PLoS neglected tropical diseases · 2014Article
- Proteomic profile of Ortleppascaris sp.: A helminth parasite of Rhinella marina in the Amazonian region.International journal for parasitology. Parasites and wildlife · 2014Article
- Advances in translational bioinformatics and population genomics in the Asia-Pacific.BMC genomics · 2012Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundHelminths are important socio-economic organisms, responsible for causing major parasitic infections in humans, other animals and plants. These infections impose a significant public health and economic burden globally. Exceptionally, some helminth organisms like Caenorhabditis elegans are free-living in nature and serve as model organisms for studying parasitic infections. Excretory/secretory proteins play an important role in parasitic helminth infections which make these proteins attractive targets for therapeutic use. In the case of helminths, large volume of expressed sequence tags (ESTs) has been generated to understand parasitism at molecular level and for predicting excretory/secretory proteins for developing novel strategies to tackle parasitic infections. However, mostly predicted ES proteins are not available for further analysis and there is no repository available for such predicted ES proteins. Furthermore, predictions have, in the main, focussed on classical secretory pathways while it is well established that helminth parasites also utilise non-classical secretory pathways.
resultsWe developed a free Helminth Secretome Database (HSD), which serves as a repository for ES proteins predicted using classical and non-classical secretory pathways, from EST data for 78 helminth species (64 nematodes, 7 trematodes and 7 cestodes) ranging from parasitic to free-living organisms. Approximately 0.9 million ESTs compiled from the largest EST database, dbEST were cleaned, assembled and analysed by different computational tools in our bioinformatics pipeline and predicted ES proteins were submitted to HSD.
conclusionWe report the large-scale prediction and analysis of classically and non-classically secreted ES proteins from diverse helminth organisms. All the Unigenes (contigs and singletons) and excretory/secretory protein datasets generated from this analysis are freely available. A BLAST server is available at http://estexplorer.biolinfo.org/hsd, for checking the sequence similarity of new protein sequences against predicted helminth ES proteins.
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