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Transcript
Laying the Foundation for an Ocean Protein Portal
Authors*: ​ Danie Kinkade, Adam Shepherd, Nick Symmonds, David Gaylord, Dawn Moran, Matthew Mcilvin, Noelle
Held, Mak Saito
*Woods Hole Oceanographic Institution
The measurement of the biological inventory of proteins within an organism, known as
proteomics​, has emerged as an important new biological methodology within the past decade.
Because proteins are involved in nutrient transport and catalysis of reactions, they can be used
as biomarkers of environmental stresses and key biochemical processes. When this new
technology is applied to environmental communities of microbes, typically called
metaproteomics ​for its inclusion of a biological community, it has shown potential to significantly
improve the understanding of ocean ecology and biogeochemistry by allowing a broad
diagnosis of ecosystems across large geographical distances. In this manner the measurement
of proteins has great potential as a tool for ocean scientists interested in detecting changes in
ocean ecosystems.
Yet being a relatively new data type based in mass spectra, proteomic datasets have specific
informatics complexities. Moreover, these datasets are not easily accessed by the broader
oceanographic communities. The goal of the Ocean Protein Portal project is to develop a
prototype that will enable expert and novice users alike, including oceanographers, molecular
biologists, and biochemists to interrogate large ocean datasets to discover proteins of
environmental importance and their distributions throughout the oceans. ​This paper will present
an overview of project objectives including progress made to date on portal components such
as text- and sequence-based search capability of protein datasets, and geospatial visualization
and table output of the query protein’s occurrence in the oceans. In addition we will present
results of a community workshop (to be held in May 2017) for ocean protein data generators
and consumers designed to advance standards and best practices of protein data analyses, and
provide feedback for refinement of the portal workflow.