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Quantitative analysis of the yeast proteome by incorporation of isotopically labeled leucine.

Author(s): Jiang H, English AM

J Proteome Res. 2002 Jul-Aug;1(4):345-50 Authors: Jiang H, English AM

Article GUID: 12645890
Evaluation of D10-Leu metabolic labeling coupled with MALDI-MS analysis in studying the response of the yeast proteome to H2O2 challenge

Author(s): Jiang H; English AM;

An efficient D10-Leu metabolic-labeling method combined with isotope-ratio quantitation by MALDI-TOF MS was used to probe the response of the yeast proteome to H2O2. Control cultures correct for effects not associated with H2O2 challenge. A stress-response ...

Article GUID: 17022625
Progress and Challenges in Ocean Metaproteomics and Proposed Best Practices for Data Sharing.

Author(s): Saito MA, Bertrand EM, Duffy ME, Gaylord DA, Held NA, Hervey WJ, Hettich RL, Jagtap PD, Janech MG, Kinkade DB, Leary DH, McIlvin MR, Moore E...

J Proteome Res. 2019 Apr 05;18(4):1461-1476 Authors: Saito MA, Bertrand EM, Duffy ME, Gaylord DA, Held NA, Hervey WJ, Hettich RL, Jagtap PD, Janech MG, Kinkade DB, Leary DH, McIlvin MR, Moore EK, ...

Article GUID: 30702898
Title:Progress and Challenges in Ocean Metaproteomics and Proposed Best Practices for Data Sharing.
Authors:Saito MA,  Bertrand EM,  Duffy ME,  Gaylord DA,  Held NA,  Hervey WJ,  Hettich RL,  Jagtap PD,  Janech MG,  Kinkade DB,  Leary DH,  McIlvin MR,  Moore EK,  Morris RM,  Neely BA,  Nunn BL,  Saunders JK,  Shepherd AI,  Symmonds NI,  Walsh DA
Link:https://www.ncbi.nlm.nih.gov/pubmed/30702898?dopt=Abstract
DOI:10.1021/acs.jproteome.8b00761
Category:J Proteome Res
PMID:30702898
Dept Affiliation: BIOLOGY
1 Woods Hole Oceanographic Institution , Woods Hole , Massachusetts 02543 , United States.
2 Department of Biology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada.
3 School of Oceanography , University of Washington , Seattle , Washington 98195-7940 , United States.
4 U.S. Naval Research Laboratory , Washington , D.C. 20375 , United States.
5 Oak Ridge National Laboratory and Microbiology Department , University of Tennessee , Knoxville , Tennessee 37996 , United States.
6 Department of Biochemistry, Molecular Biology and Biophysics , University of Minnesota , Saint Paul , Minnesota 55108 , United States.
7 College of Charleston , Charleston , South Carolina 29424 , United States.
8 Department of Environmental Science , Rowan University , Glassboro , New Jersey 08028 , United States.
9 National Institute of Standards and Technology , Charleston , South Carolina 29412 , United States.
10 Department of Genome Sciences , University of Washington , Seattle , Washington 98195 , United States.
11 Department of Biology , Concordia University , Montreal , Quebec H4B 1R6 , Canada.

Description:

Progress and Challenges in Ocean Metaproteomics and Proposed Best Practices for Data Sharing.

J Proteome Res. 2019 Apr 05;18(4):1461-1476

Authors: Saito MA, Bertrand EM, Duffy ME, Gaylord DA, Held NA, Hervey WJ, Hettich RL, Jagtap PD, Janech MG, Kinkade DB, Leary DH, McIlvin MR, Moore EK, Morris RM, Neely BA, Nunn BL, Saunders JK, Shepherd AI, Symmonds NI, Walsh DA

Abstract

Ocean metaproteomics is an emerging field enabling discoveries about marine microbial communities and their impact on global biogeochemical processes. Recent ocean metaproteomic studies have provided insight into microbial nutrient transport, colimitation of carbon fixation, the metabolism of microbial biofilms, and dynamics of carbon flux in marine ecosystems. Future methodological developments could provide new capabilities such as characterizing long-term ecosystem changes, biogeochemical reaction rates, and in situ stoichiometries. Yet challenges remain for ocean metaproteomics due to the great biological diversity that produces highly complex mass spectra, as well as the difficulty in obtaining and working with environmental samples. This review summarizes the progress and challenges facing ocean metaproteomic scientists and proposes best practices for data sharing of ocean metaproteomic data sets, including the data types and metadata needed to enable intercomparisons of protein distributions and annotations that could foster global ocean metaproteomic capabilities.

PMID: 30702898 [PubMed - in process]