MassIVE MSV000096184

Complete Public PXD057121

Transcriptome and Redox Proteome Reveal Temporal Scales of Carbon Metabolism Regulation in Model Cyanobacteria Under Light Disturbance

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Description

The purpose of this experiment was to evaluate and understand the regulatory dynamics of carbon fixation in S. elongatus PCC 7942 cscB/SPS under light and dark treatment conditions using a tandem mass tag (TMT) and global mass spectrometry approach. TMT16 and global proteomic data were acquired using a Q-Exactive HF mass spectrometer and processed using MS-GF+ for downstream word cloud analysis of PIML models vs. proteome expression data. [doi:10.25345/C5HX1630P] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: physics-informed machine learning ; perturbative biology ; post-translational modification ; cysteine oxidation ; systems modeling ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Margaret S. Cheung, Pacific Northwest National Laboratory, United States
Song Feng, Pacific Northwest National Laboratory, United States
Submitting User: alchemistmatt
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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 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.