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Protein phosphorylation plays essential roles in many cellular processes. Despite recent progress in the genomics, transcriptomics and proteomics of socioeconomically important parasitic nematodes, there is scant phosphoproteomic data to underpin molecular biological discovery. Here, using the phosphopeptide enrichment-based LC-MS/MS and data-independent acquisition (DIA) quantitation, we characterised the first developmental phosphoproteome of the parasitic nematode Haemonchus contortus - one of the most pathogenic parasites of ruminant livestock. Totally, 1804 phosphorylated proteins with 4406 phosphorylation sites ('phosphosites') from different developmental stages/sexes were identified. Bioinformatic analyses of quantified 'phosphosites' exhibited distinctive stage- and sex-specific patterns during development, and identified a subset of phosphoproteins proposed to play crucial roles in processes such as spindle positioning, signal transduction and kinase activity. A sequence-based comparison of the phosphoproteome of H. contortus with those of two free-living nematode species (Caenorhabditis elegans and Pristionchus pacificus) suggested a limited number of common protein phosphorylation events among these species. Our findings infer active roles for protein phosphorylation in the adaptation of a parasitic nematode to a constantly changing external environment. The phosphoproteomic data set for H. contortus provides a basis to better understand phosphorylation and associated biological processes (e.g., regulation of signal transduction), and might enable the discovery of novel anthelmintic targets. SIGNIFICANCE: Here, we report the first phosphoproteome for a socioeconomically parasitic nematode (Haemonchus contortus). This phosphoproteome exhibits distinctive patterns during development, suggesting active roles of post-translational modification in the parasite's adaptation to changing environments within and outside of the host animal. This work sheds a light on the developmental phosphorylation in a parasitic nematode, and could enable the discovery of novel interventions against major pathogens.
Pubmed ID: 31846766 RIS Download
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Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service.
View all literature mentionsRandomized controlled trial being conducted at two clinical centers in the United States to learn more about the effects of weight loss on urinary incontinence. About 330 overweight women aged 30 or older will participate and will be followed for 18 months. Efficacy of weight reduction as a treatment for urinary incontinence will be examined at 6 months following the intensive weight control program, and the sustained impact of the intervention will be examined at 18 months. To increase the maintenance of weight reduction and facilitate evaluation of the enduring impact of weight loss on urinary incontinence, they propose to study a motivation-based weight maintenance program. At the end of the intensive weight control program, women randomized to the weight loss program will be randomized to either a 12-month skill-based maintenance intervention or to a motivation-based maintenance intervention. The maintenance interventions maximize the potential for sustained weight loss and will allow them to determine if long-term weight reduction will produce continued improvement in urinary incontinence.
View all literature mentionsSoftware package which provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.
View all literature mentionsSoftware that supports biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiplehypothesis testing.
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