PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Metabolomics (PB-DP5)
Abstract
The purpose of this experiment was to evaluate how circadian clock regulation impacts carbon partitioning between storage, growth, and product synthesis in Synechococcus elongatus PCC 7942 in providing insights to strategies for enhanced bioproduction. Culture samples were collected at 0, 0.5, 1, 2, 4, 6, and 8 hours for extracellular sucrose analysis. Circadian metabolomics data was acquired using a Agilent single quadrupole gas chromatography-mass spectrometer and processed using Agilent Mass Hunter for targeted sucrose quantification. Metabolomic analysis of PCC 7942 light-dark cycle cultures transitioned to constant light revealed distinct temporal patterns in sucrose production. Processed metabolomic datasets are openly accessible from the PNNL DataHub project dataset download page and contain secondary processed GC-MS results files and supporting metadata materials linked to relevant source code information supporting data transparency and reuse.
- Authors:
-
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); PNNL; Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Publication Date:
- Other Number(s):
- PNNL-SA-208061
MSV000096722
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- Collaborations:
- Predictive Phenomics Initiative, Pacific Northwest National Laboratory
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Carbon Cycling; Circadian Regulation; Metabolomics; Predictive Phenomics; Redox Balancing; S. elongatus PCC 7942; Sucrose Production; gas chromatography-mass spectrometry (GC-MS)
- OSTI Identifier:
- 2510499
- DOI:
- https://doi.org/10.25584/2510499
Citation Formats
Anderson, Lindsey N, Kim, Young-Mo, Waters, Katrina M, and Bohutskyi, Pavlo. PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Metabolomics (PB-DP5). United States: N. p., 2024.
Web. doi:10.25584/2510499.
Anderson, Lindsey N, Kim, Young-Mo, Waters, Katrina M, & Bohutskyi, Pavlo. PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Metabolomics (PB-DP5). United States. doi:https://doi.org/10.25584/2510499
Anderson, Lindsey N, Kim, Young-Mo, Waters, Katrina M, and Bohutskyi, Pavlo. 2024.
"PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Metabolomics (PB-DP5)". United States. doi:https://doi.org/10.25584/2510499. https://www.osti.gov/servlets/purl/2510499. Pub date:Mon Dec 30 04:00:00 UTC 2024
@article{osti_2510499,
title = {PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Metabolomics (PB-DP5)},
author = {Anderson, Lindsey N and Kim, Young-Mo and Waters, Katrina M and Bohutskyi, Pavlo},
abstractNote = {The purpose of this experiment was to evaluate how circadian clock regulation impacts carbon partitioning between storage, growth, and product synthesis in Synechococcus elongatus PCC 7942 in providing insights to strategies for enhanced bioproduction. Culture samples were collected at 0, 0.5, 1, 2, 4, 6, and 8 hours for extracellular sucrose analysis. Circadian metabolomics data was acquired using a Agilent single quadrupole gas chromatography-mass spectrometer and processed using Agilent Mass Hunter for targeted sucrose quantification. Metabolomic analysis of PCC 7942 light-dark cycle cultures transitioned to constant light revealed distinct temporal patterns in sucrose production. Processed metabolomic datasets are openly accessible from the PNNL DataHub project dataset download page and contain secondary processed GC-MS results files and supporting metadata materials linked to relevant source code information supporting data transparency and reuse.},
doi = {10.25584/2510499},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Dec 30 04:00:00 UTC 2024},
month = {Mon Dec 30 04:00:00 UTC 2024}
}
