MassIVE MSV000097695

Partial Public PXD063230

Tissue-specific and sex-biased glycoproteomic landscape of Schistosoma mansoni

Description

Schistosomiasis is a major global public health challenge. Protein glycosylation plays a crucial role in cellular activities and pathogen-host immune interactions, yet its global features and functions in schistosomes have not been thoroughly explored. Here, we employed pGlyco3 and pGlycoNovo to identify glycoproteins and glycopeptides. Quantitative analysis using pGlycoQuant enabled the construction of a large-scale intact N- and O-glycoproteomic library for S. mansoni.The dataset includes: N-glycoproteomics data of adult Schistosoma mansoni females (20231124-CX-Cpg), N-glycoproteomics data of adult males (20231124-CX-Xpg), O-glycoproteomics data of adult females (20240403-CX-C), and O-glycoproteomics data of adult males (20240403-CX-X). The latest identification and quantification output files are in the /update/2025-12-01 folder. [doi:10.25345/C5WH2DS94] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Schistosoma mansoni ; Glycosylation ; Site-specific glycopeptides ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order)
Xu Chen, State Key Laboratory of Genetics and Development of Complex Phenotypes, Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, China
Submitting User: Xu_chen
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Experimental Design
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Identification Results
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Quantification Results
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.