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OAS accession Detail for 0277417
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| accessions_id: | 0277417 | archive |
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| Title: | Results of cluster analysis and gene ontology: carbonate Organic Matrix (COM) proteins from coral, mollusk, and sea urchin; analyzed in the Falkowski lab at Rutgers from 2010-2014 (CROA project) (NCEI Accession 0277417) |
| Abstract: | This dataset contains biological and survey - biological data collected at Rutgers_New_Brunswick during deployment lab_Falkowski at New Brunswick, NJ on 2014-10-29. These data include genus, species, and taxon. The instruments used to collect these data include Mass Spectrometer. These data were collected by Oscar M.E. Schofield, Paul G. Falkowski, Robert M. Sherrell, and Yair Rosenthal of Rutgers University as part of the "The Molecular Basis of Ocean Acidification Effects on Calcification in Zooxanthellate Corals (CROA)" project and "Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA) (SEES-OA)" program. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2023-01-23. The following is the text of the dataset description provided by BCO-DMO: Carbonate Organic Matrix (COM) proteins from coral, mollusk, and sea urchin. Dataset Description: Cluster analysis and gene ontology to compare ~1500 proteins, from over 100 studies, extracted from calcium carbonates in stony corals, bivalve and gastropod mollusks, and adult and larval sea urchins. This dataset includes information presented in Supplemental Table S2 from Drake et al. 2014. Refer to Drake et al. (2014) for more information on methodology and results. |
| Date received: | 20230123 |
| Start date: | 20141029 |
| End date: | 20141029 |
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| Observation types: | biological, survey - biological |
| Instrument types: | mass spectrometer |
| Datatypes: | SPECIES IDENTIFICATION, TAXONOMIC CODE |
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| Submitting institution: | Biological and Chemical Oceanography Data Management Office |
| Collecting institutions: | Rutgers, The State University of New Jersey |
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| Supplementary information: | Acquisition Description: Methodology described in Drake et al. 2014: Sequences from over 100 biomineral proteome studies were grouped by hierarchical clustering using the CD-HIT suite web server (Li and Godzik, 2006; Huang et al., 2010; http://weizhong-lab.ucsd.edu/cd-hit/ ) and assigned gene ontology (GO) terms using Blast2Go software (Conesa et al., 2005). Although 1531 proteins reduced to 1051 clusters at 30% similarity, only 64 clusters showed sequence similarity across phyla. Studies published from the 1990s through June 2013, using N-terminal and mass spectrometry COM sequencing, RT-PCR, or GO and KEGG annotation of genomic and transcriptomic data sets are included. Mass spectrometry sequences were excluded if the experimental data were compared with gene models from a different species. This dataset includes information presented in Supplemental Table S2 from Drake et al. 2014: Proteins from coral, mollusk, and sea urchin direct COM sequencing, RT-PCR, or GO and KEGG annotation. 1076 proteins, including redundancy when noted by multiple sources, reduced to 1031 non-redundant sequences. |
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| Metadata version: | 1 |
| Keydate: | 2023-04-03 05:25:37+00 |
| Editdate: | 2023-04-03 05:28:30+00 |