DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Transcriptomics (PB-DP3)

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. Sample data was acquired using a Illumina HiSeq sequencer system and processed for RNA sequencing (RNA-Seq) expression analysis. Transcriptomic differential expression analysis revealed coordinated circadian clock-driven adjustment of the cell cycle and rewiring of energy and carbon metabolism. Processed RNA-Seq datasets are openly accessible from the PNNL DataHub project dataset download page and contain secondary processed RNA-seq results files and supporting metadata materials linked to relevant source code information supporting data transparency and reuse.

Authors:
; ; ;
  1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); PNNL; Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  2. Washington State University Tri-Cities, Richland, WA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  3. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  4. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Publication Date:
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; Carbohydrate Metabolism; Carbon Cycling; Circadian Regulation; Predictive Phenomics; RNA-Seq; Redox Balancing; S. elongatus PCC 7942
OSTI Identifier:
2510500
DOI:
https://doi.org/10.25584/2510500

Citation Formats

Anderson, Lindsey N, Johnson, Zachary D, Waters, Katrina M, and Bohutskyi, Pavlo. PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Transcriptomics (PB-DP3). United States: N. p., 2024. Web. doi:10.25584/2510500.
Anderson, Lindsey N, Johnson, Zachary D, Waters, Katrina M, & Bohutskyi, Pavlo. PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Transcriptomics (PB-DP3). United States. doi:https://doi.org/10.25584/2510500
Anderson, Lindsey N, Johnson, Zachary D, Waters, Katrina M, and Bohutskyi, Pavlo. 2024. "PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Transcriptomics (PB-DP3)". United States. doi:https://doi.org/10.25584/2510500. https://www.osti.gov/servlets/purl/2510500. Pub date:Mon Dec 30 04:00:00 UTC 2024
@article{osti_2510500,
title = {PPI DataHub Project Data Package: S. elongatus PCC 7942 Circadian Control Bioproduction Transcriptomics (PB-DP3)},
author = {Anderson, Lindsey N and Johnson, Zachary D 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. Sample data was acquired using a Illumina HiSeq sequencer system and processed for RNA sequencing (RNA-Seq) expression analysis. Transcriptomic differential expression analysis revealed coordinated circadian clock-driven adjustment of the cell cycle and rewiring of energy and carbon metabolism. Processed RNA-Seq datasets are openly accessible from the PNNL DataHub project dataset download page and contain secondary processed RNA-seq results files and supporting metadata materials linked to relevant source code information supporting data transparency and reuse.},
doi = {10.25584/2510500},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Dec 30 04:00:00 UTC 2024},
month = {Mon Dec 30 04:00:00 UTC 2024}
}