MassIVE MSV000080636

Partial Public

GNPS - MaHPIC Experiment 13: Lipidomics from uninfected Macaca mulatta exposed to pyrimethamine to produce and integrate clinical, hematological, and omics control measures.

Description

Uninfected, malaria-naive, male rhesus macaques (Macaca mulatta), approximately two years of age, were inoculated intravenously with a preparation of salivary gland material derived from non-infected Anopheles dirus and profiled for clinical, hematological, functional genomic, lipidomic, proteomic, and metabolomic measurements. Samples were generated and analyzed to investigate the effects of the pharmacological intervention with the anti-malarial drug pyrimethamine on normal individuals. The experiment was designed for 100 days plus a follow-up period, with pyrimethamine administered at three different time points to coincide with the predicted treatment days of experimentally infected rhesus macaques. Capillary blood samples were collected daily for the measurement of CBCs and reticulocytes. Capillary blood samples were collected every other day to obtain plasma for metabolomic analysis. Venous blood samples and bone marrow aspirates were collected at seven time points before and after three rounds of drug administration for functional genomic, proteomic, and lipidomic analyses. Within the MaHPIC, this project is known as 'Experiment 13' ('E13'). This dataset was produced by: The MaHPIC Consortium, Monica Cabrera, Jeremy D. DeBarry, Mary R. Galinski, Jay Humphrey, Ebru Karpuzoglu, Jessica C. Kissinger, Regina Joice, Esmeralda Meyer, Alberto Moreno, Vishal Nayak, Mustafa Nural, Suman Pakala, and Sarah Pruett. The experimental design and protocols for this study were approved by the Emory University Institutional Animal Care and Use Committee (IACUC).

For more information on the MaHPIC, please visit http://www.systemsbiology.emory.edu/. To access other publicly available results from E13 and other MaHPIC Experiments, including clinical results (specifics on drugs administered, diet, and veterinary interventions), and other omics, visit http://plasmodb.org/plasmo/mahpic.jsp. This page will be updated as datasets are released to the public."

[doi:10.25345/C5DG9G] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: MaHPIC ; Lipidomics ; Macaca mulatta ; Experiment 13 ; Malaria ; Malaria Host-Pathogen Interaction Center ; Pyrimethamine ; Systems Biology

Contact

Principal Investigators: Mary Galinski, Emory University, USA
Submitting User: mahpic
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GNPS content goes here (MSV000080636 [task=c7e41c86aa6e4b15bc89b27a72fc9158])
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

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

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

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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.