Dataset: AE1913 Protein Identification FASTA

Name: Protein identification FASTA file (scaffold-derived metaproteomic proteins) from samples taken during R/V Atlantic Explorer cruise AE1913 from the Sargasso Sea to Northeast US shelf waters in June of 2019
Published: 2024-08-01
Keywords: oceans

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Cite This Dataset

Project:

Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV (Nutrient Stress Responses and AUV Clio)

Principal Investigator:

Mak A. Saito (Woods Hole Oceanographic Institution, WHOI)

Scientist:

Natalie Cohen (Woods Hole Oceanographic Institution, WHOI)

BCO-DMO Data Manager:

Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2024-08-01

Restricted:

Validated:

Current State:

Preliminary and in progress

Protein identification FASTA file (scaffold-derived metaproteomic proteins) from samples taken during R/V Atlantic Explorer cruise AE1913 from the Sargasso Sea to Northeast US shelf waters in June of 2019

Abstract:

This is a FASTA file of protein identifications (scaffold-derived metaproteomic proteins). Samples were taken during R/V Atlantic Explorer cruise AE1913 in Subtropical North Atlantic, beginning at the Bermuda Atlantic Time-series Station (BATS) of the Sargasso Sea and ending in coastal Northeast US shelf waters in June of 2019.

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Description

See "Related Datasets" section for other closely related data including total and exclusive protein spectral counts, and the individual peptides associated with these proteins (includes total spectral counts for each peptide).

CTD and other data from the same cruise are listed on deployment page AE1913: https://www.bco-dmo.org/deployment/916412

These data are part of the Ocean Protein Portal (https://proteinportal.whoi.edu/; Saito et al., 2020).

Methods & Sampling

Methods are reported in Cohen et al. 2023 (biorxiv preprint doi: 10.1101/2023.11.20.567900) and are summarized below.
* This section describes how this and related datasets were generated (see "Related Datasets" section).

One half of the 142 mm filters (0.2-51 μm) collected by Clio were processed for metaproteomics. Proteins were extracted in an 1% SDS-based detergent in 50 mM HEPES at pH 8.5, reduced with dithiothreitol, alkylated with iodoacetamide, and purified using a polyacrylamide electrophoresis tube gel method. Protein quantification was performed using a BSA assay. Trypsin was added to the protein-bead mixture in a 1:20 trypsin:protein ratio. Peptides were purified using C18 tips and diluted to a concentration of 0.1 μg μL−1.

Approximately 2-5 µg of purified peptides were injected onto a Dionex UltiMate 3000 RSLCnano LC system with an additional RSLCnano pump, run in online 2D active modulation mode interfaced with a Thermo Fusion mass spectrometer. The mass spectrometer acquired MS1 scans from 380 to 1,580 m/z at 240K resolution in the Orbitrap. MS2 were collected in data dependent mode in the ion trap with a cycle time of 2 seconds between scans and acquisition of charge states 2 to 10. MS2 scans had 1.6 m/z isolation window, 50 ms maximum injection time and 5 s dynamic exclusion time.

Data Processing Description

The metatranscriptomic ORFs were used as the protein database, and peptide-spectrum matches were performed using Sequest algorithm within IseNode Proteome Discoverer 2.2.0.388 with a parent ion tolerance of 10 ppm and fragment tolerance of 0.6 Da, and 0 max missed cleavage. Identification criteria consisted of a peptide threshold of 98% (false discovery rate [FDR] = 0.1%) and protein threshold of 99% (1 peptide minimum, FDR = 1.5%) in Scaffold 5.1.2 (Proteome Software) resulting in 77,438 proteins and 3,155,061 exclusive spectral counts.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1658030

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
AE1913	Clio-BATS-WHOI	2019-06-16	R/V Atlantic Explorer	Mak A. Saito (Chief Scientist)	data info

Instruments

AUV Clio

Supplied Name:

Supplied Description:

Instrument Type

Generic Name: AUV Clio

Generic Description:

Clio is an autonomous underwater vehicle (AUV) created to accomplish the dual goals of global ocean mapping and biochemistry sampling. The ability to sample dissolved and particulate seawater biochemistry across ocean basins while capturing fine-scale biogeochemical processes sets it apart from other AUVs. Clio is designed to efficiently and precisely move vertically through the ocean, drift laterally to observe water masses, and integrate with research vessel operations to map large horizontal scales up to a depth of 6,000 meters. More information is available at https://www2.whoi.edu/site/deepsubmergencelab/clio/

Mass Spectrometer

Supplied Name: Thermo Fusion mass spectrometer

Supplied Description:

Instrument Type

Generic Name: Mass Spectrometer

Acronym: Mass Spec

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/

Generic Description:

General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.

Ultra high-performance liquid chromatography

Supplied Name: Dionex UltiMate 3000 RSLCnano LC system

Supplied Description:

Instrument Type

Generic Name: Ultra high-performance liquid chromatography

Acronym: UHPLC

Generic Description:

Ultra high-performance liquid chromatography: Column chromatography where the mobile phase is a liquid, the stationary phase consists of very small (< 2 microm) particles and the inlet pressure is relatively high.

Parameters

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Database

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Dataset: AE1913 Protein Identification FASTA