Description
Dataset Description
The purpose of this experiment was to investigate structural alterations in proteins involved in central carbon metabolism and photosynthetic electron transfer pathways in Synechococcus elongatus PCC7942 (ncbitaxon:1140).
Sample data was obtained from cell lysates (BTO:0004304) using structural proteomics limited proteolysis (LiP) assay techniques.
The structural proteomics data was acquired using a Q-Exactive HF-X mass spectrometer and data was processed and compiled
Microfractionated TMT10-labeled samples from TPP experimental assays investigating structural alterations in Light vs Dark growth conditions. Samples are Synechococcus elongatus PCC 7942 cell lysates (BTO:0004304). Purpose: To evaluate structural proteome responses under light and dark conditions. Technique: Thermal Proteome Profiling (TPP). Other details: Labeled with TMT-10 kit, Microfractionated into 6 fractions for each plex, There were 6 plexes (3 light, 3 dark) in total. Data was searched with MS-GF+ using PNNL's DMS Processing pipeline.
Accessible Digital Data Downloads
This dataset contains the following folders and files:
- JM-DP3_ProteinExpression.xlsx: Contains normalized protein abundance values and calculated statistical analyses.
- JM-DP3_SampleMetadata.xlsx: Contains sample naming key as well as experimental condition metadata.
Total Download Size: 1.62MB, zipped
Linked Primary Data
Primary mass spectrometry data can be found in MassIVE: MSV000099906
The research data described here was funded in whole or in part by the Predictive Phenomics Initiative (PPI) at Pacific Northwest National Laboratory (PNNL). This work was conducted under the Laboratory Directed Research and Development Program at PNNL. PNNL is a multiprogram national laboratory operated by Battelle for the DOE under Contract No. DE-AC05-76RL01830.
Citation Policy
In efforts to enable discovery, reproducibility, and reuse of PPI-funded project dataset citations in accordance with best practices (as outlined by the FORCE11 Data Citation Principles), we ask that all reuse of project data and metadata download materials acknowledge all primary and secondary dataset citations and corresponding journal articles where applicable.
Data Licensing
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