Dataset: Proteomics Colwellia psychrerythraea strain 34H at subzero temperatures.

Version (2017-11-13)Dataset Type:experimental

Principal Investigator: Brook L. Nunn (University of Washington)

Co-Principal Investigator: Karen Junge (University of Washington)

BCO-DMO Data Manager: Megan Switzer (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Linking geochemistry and proteomics to reveal the impact of bacteria on protein cycling in the ocean (Bacterial Recyclers)

Cite Dataset

Bacteria was collected from cultures, filtered, and lysed, digested and analyzed using proteomic mass spectrometry.

Data are available for download at the EBI PRIDE Archive and at the Chorus Project Archive. 

EBI PRIDE
Homepage: http://www.ebi.ac.uk/pride/archive
Project URL: http://www.ebi.ac.uk/pride/archive/projects/PXD006274
Data URL: http://www.ebi.ac.uk/pride/archive/projects/PXD006274/files

Chorus Project
Data URL: https://chorusproject.org/anonymous/download/experiment/-1211384729456854716

Data were published in Nunn et al (2015).

Related Datasets

No Related Datasets

Related Publications

Results
Nunn, B. L., Slattery, K. V., Cameron, K. A., Timmins-Schiffman, E., & Junge, K. (2015). Proteomics of Colwellia psychrerythraeaat subzero temperatures - a life with limited movement, flexible membranes and vital DNA repair. Environmental Microbiology, 17(7), 2319–2335. doi:10.1111/1462-2920.12691
Methods
MacLean, B., Tomazela, D. M., Shulman, N., Chambers, M., Finney, G. L., Frewen, B., … MacCoss, M. J. (2010). Skyline: an open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics, 26(7), 966–968. doi:10.1093/bioinformatics/btq054

Nunn, B. L., Junge, K. (2017) Proteomics Colwellia psychrerythraea strain 34H at subzero temperatures.. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version ) Version Date 2017-11-13 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/719009 [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.

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Funded by the U.S. National Science Foundation