Dataset: Data Independent Acquisition Proteomics
Data Citation:
Whalen, K. E. (2020) Whole-cell data independent mass spectrometry proteomic approach to examining Emiliania Huxleyi exposed to 4 treatments of HHQ. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-10-29 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/827912 [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.
Principal Investigator:
Kristen E. Whalen (Haverford College)
Contact:
Brook L. Nunn (University of Washington, UW)
BCO-DMO Data Manager:
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2020-10-29
Restricted:
No
Validated:
No
Current State:
Preliminary and in progress
Whole-cell data independent mass spectrometry proteomic approach to examining Emiliania Huxleyi exposed to 4 treatments of HHQ
Abstract:
Interactions between phytoplankton and bacteria play a central role in mediating oceanic biogeochemical cycling and microbial trophic structure in the ocean. The intricate relationships between these two domains of life are mediated via excreted molecules that facilitate communication and determine competitive outcomes. Yet, despite their predicted importance, identifying these secreted compounds and understanding their ecological significance has remained a challenge.
A whole-cell data independent mass spectrometry proteomic approach was used to identify phytoplankton proteins crucial in competitive interactions with bacterial infochemicals.