MassIVE MSV000094978

Partial Public

Integrated Phosphoproteomics of Theileria annulata-Infected Cells: Unveiling Host and Parasite Kinase Networks and Signaling Pathways

Description

This study employs comparative phosphoproteomics to investigate the changes in protein phosphorylation (post-translational modifications) induced by Theileria annulata infection in host cells. Three groups are analyzed: bovine lymphocytes infected with T. annulata, uninfected control lymphocytes, and lymphocytes treated with buparvaquone, a drug that clears the parasite. The analysis aims to identify and compare the kinase networks and signaling pathways activated in both the host and the parasite during infection. [doi:10.25345/C51Z4246H] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Apicomplexan, Theileria annulata, post-translational modification, kinase, Cancer

Contact

Principal Investigators:
(in alphabetical order)
Dr. Paresh Sharma, National Institute of Animal Biotechnology, India
Submitting User: Dan_3072
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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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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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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.
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