Dataset: Substrate-specific metabolic responses of model marine bacteria using proteomics
Data Citation:
Saito, M. A., Moran, M. A., Cooper, Z. S. (2024) Normalized protein abundance data and protein annotations for proteomic data from laboratory cultures of Ruegeria pomeroyi DSS-3 and Alteromonas macleodii MIT1002 in 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-05-14 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.927507.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
DOI:10.26008/1912/bco-dmo.927507.1
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Temporal Extent: 2022-09-08 - 2022-09-30
Project:
C-CoMP Model Bacteria Physiological Studies
(C-CoMP Model Bacteria)
Program:
Principal Investigator:
Mak A. Saito (Woods Hole Oceanographic Institution, WHOI)
Co-Principal Investigator:
Mary Ann Moran (University of Georgia, UGA)
Scientist:
Zachary Shane Cooper (University of Georgia, UGA)
Technician:
Matthew R. McIlvin (Woods Hole Oceanographic Institution, WHOI)
Data Manager:
Laura Gray (Woods Hole Oceanographic Institution, WHOI)
BCO-DMO Data Manager:
Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2024-05-14
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
Normalized protein abundance data and protein annotations for proteomic data from laboratory cultures of Ruegeria pomeroyi DSS-3 and Alteromonas macleodii MIT1002 in 2022
Abstract:
This dataset includes normalized protein abundance data and protein annotations for proteomic data from cultures of Ruegeria pomeroyi DSS-3 and Alteromonas macleodii MIT1002. These model marine bacteria were grown in defined culture media with either glucose, acetate, or a mix of both as carbon substrates. The data are sampled so as to capture the metabolic differences the bacteria employ when catabolizing these different substrates and when switching between them. The raw proteomics files are available on the Proteomics IDEntification Database (PRIDE) under accession PXD045824. The proteomic data accompanies the transcriptomic expression data available at BCO-DMO dataset 916134 (https://www.bco-dmo.org/dataset/916134).