Proteomics

Dataset Information

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Haemonchus contortus Global Somatic Proteome


ABSTRACT: Parasitic nematodes cause diseases that adversely impact on animal health and production. Although advances in genomics and transcriptomics are revolutionising the way we explore these parasites, there is a dearth of proteomic data to underpin or support fundamental discoveries. Here, using a high throughput LC-MS/MS-based approach, we undertook the first large-scale (global) proteomic investigation of Haemonchus contortus (the barber's pole worm), one of the most important parasitic nematodes of livestock animals worldwide. In total, 2487 unique H. contortus proteins, representing five key developmental stages [i. e. eggs, third-stage (L3) and fourth-stage (L4) larvae; female (Af) and male adults (Am)] were identified and quantified with high confidence. Bioinformatic analyses of the somatic proteome of H. contortus discovered substantial alterations in protein profiles during the life cycle, particularly in the transition from the free-living to the parasitic phase, and identified groups of key proteins involved specifically in feeding, digestion, metabolism, development, parasite-host interactions (including immunomodulation), structural remodelling of the body wall and other adaptive processes during the parasitic phase. This global proteomic data set will likely facilitate future molecular, biochemical and physiological investigations of H. contortus and related nematodes, and should underpin the discovery of novel intervention targets against haemonchosis.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Haemonchus Contortus (barber Pole Worm)

TISSUE(S): Whole Body, Somatic Cell

DISEASE(S): Parasitic Infectious Disease

SUBMITTER: Tao Wang  

LAB HEAD: Robin Beat Gasser

PROVIDER: PXD009956 | Pride | 2019-03-01

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
170405_Tao_HCon_Unfrac.raw Raw
170407_Tao_HCon_Global_1.raw Raw
170407_Tao_HCon_Global_2.raw Raw
170407_Tao_HCon_Global_3.raw Raw
170407_Tao_HCon_Global_4.raw Raw
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