Thermal Proteome Profiling (TPP-MS) to evaluate Synechococcus elongatus PCC 7942 response to light (JM-DP3)

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Description

Dataset Description

This dataset examines protein stability/structural changes associated with central carbon metabolism and photosynthetic electron transfer in Synechococcus elongatus PCC 7942 (NCBI Taxon: 1140) under light versus dark conditions. Proteins were extracted from cell lysates and analyzed using thermal proteome profiling (TPP-MS). Samples were TMT10-labeled, trypsin-digested, and microfractionated into six fractions per plex. Six plexes were analyzed in total (3 light, 3 dark). LC–MS/MS data were acquired on a Q Exactive HF-X and searched with MS-GF+ using PNNL’s internal 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

Creative Commons Attribution 4.0 International (CC BY 4.0)

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Lindsey Anderson’s research has been dedicated to the identification and characterization of novel, targeted and non-targeted, functional metabolic interactions using a high-throughput systems biology and computational biology approach. Her expertise in functional metabolism and multidisciplinary...

John is an accomplished lipid biochemist and structural biologist with an interest in understanding molecular pathology of disease. He earned his Ph.D. from Wake Forest School of Medicine where he received training in lipid biochemistry under the late Dr. Lawrence Rudel studying the role of low...

Dr. Bohutskyi’s research focus is in developing new bioprocesses addressing sustainable transformation of carbon dioxide, biomass, and wet or liquid waste, including carbon, nitrogen, phosphorus, and other critical elements into bioproducts, chemicals, and fuels. This research uses a suite of...

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