MassIVE MSV000086293

Partial Public

GNPS - Modular metabolite assembly in C. elegans depends on carboxylesterases and formation of lysosome-related organelles

Description

Paper title: Modular metabolite assembly in C. elegans depends on carboxylesterases and formation of lysosome-related organelles Author list: Henry H. Le, Chester J. J. Wrobel, Sarah M. Cohen, Jingfang Yu, Heenam Park, Maximilian J. Helf, Brian J. Curtis, Joseph C. Kruempel, Pedro R. Rodrigues, Patrick J. Hu, Paul W. Sternberg, and Frank C. Schroeder Brief description of the data submitted: ms/ms data of glo-1, cest-1.1, cest-2.2, and cest-4 dependent compounds. representative ms data of glo-1, cest-1.1, cest-2.2, cest-4, cest-19, cest-33, cest-6, and ges-1 mutant strains along with wildtype C. elegans. [doi:10.25345/C5P49H] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: metabolomics ; C. elegans ; carboxylesterase ; biosynthesis ; Lysosome related organelles ; Gut granules

Contact

Principal Investigators:
(in alphabetical order)
Frank Schroeder, Boyce Thompson Institute, Cornell University, USA
Submitting User: cjw293
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GNPS content goes here (MSV000086293 [task=715e60ce44ae4ecea2b84e28dd336c01])
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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.
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.