MassIVE MSV000088566

Partial Public PXD030409

Development of an experimental approach to achieve spatially resolved plant root-associated metaproteomics using an agar-plate system

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Description

This study demonstrated a novel peptide extraction method for plant agar-plate culture systems, which was previously unsuitable for (meta)proteomic measurements. Given the broad use of agar-plate culture systems in life sciences, this method will not only benefit other plant-microbe interface research but could be leveraged for other microbiology research in general. [doi:10.25345/C56P3D] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: plant-associated microbes ; rhizosphere ; agar-plate system ; synthetic community ; reductionist approach ; metaproteomics

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Principal Investigators:
(in alphabetical order) 		Paul E. Abraham, Oak Ridge National Laboratory, United States
Submitting User: pabraham_ornl
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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.
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