Description
This data set is downloaded from MetaboLights (http://www.ebi.ac.uk/metabolights/) accession number MTBLS335 Abstract:While cross-tissue metabolite variations are increasingly regarded as important readouts of tissue-level gene regulatory processes, these have rarely been explored by non-targeted metabolomics. Here we explore tissue-level metabolic specialization in Nicotiana attenuata, an ecological model with rich secondary metabolism by combining tissue-wide non-targeted mass spectral data acquisition, information theory analysis, and MS/MS molecular networks. This analysis was conducted for two different methanolic extracts of 14 tissues and deconvoluted 895 non-redundant MS/MS spectra. Using information theory analysis, anthers were found to harbor the most specialized metabolome and, through MS/MS molecular networks, most unique metabolites of anthers and other tissues were annotated. Finally, tissue-metabolite association maps were used to predict tissue-specific gene functions. Predictions for the function of two UDP-glycosyltransferases in flavonoid metabolism were confirmed by virus-induced gene-silencing. The present workflow allows biologists to amortize the vast amount of data produced by modern MS instrumentation for their quest to understand gene function.
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Nicotiana attenuata
Contact
Principal Investigators:
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Li, Max Planck Institute for Chemical Ecology, de
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rsilva
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Number of distinct conditions across all analyses (original submission and reanalyses)
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Distinct condition labels are counted across all files submitted in the "Metadata" category
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Number of distinct biological replicates across all analyses (original submission and reanalyses)
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Distinct replicate labels are counted across all files submitted in the "Metadata" category
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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
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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.