Dataset: Experimental results: microarrays for Thalassiosira pseudonana diatoms grown in the laboratory under different conditions; 2013 (OA Diatom Response project)

Final with updates expectedVersion 30 Jan 2015 (2015-01-30)Dataset Type:Unknown

Principal Investigator: Monica V. Orellana (Institute for Systems Biology)

Co-Principal Investigator: Nitin Baliga (Institute for Systems Biology)

Contact: Dr Justin Ashworth (Institute for Systems Biology)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)


Program: Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA) (SEES-OA)

Project: A Systems Biology Approach to Characterize Diatom Response to Ocean Acidification and Climate Change (OA Diatom Response)

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Microarrays for Thalassiosira pseudonana diatoms grown in the laboratory under different conditions including
diel cycles and elevated CO2 levels.

Data from Ashworth et al. (2013) Proc. Natl. Acad. Sci. USA 110(18):7518-23 are publicly available on the NCBI GEO database under the accession code: GSE45252.

Data were submitted to the NCBI GEO database on May 16, 2014 under the accession code: GSE57737 and will be made publicly available upon publication of an accompanying manuscript in preparation.

References:
Ashworth J, Coesel S, Lee A, Armbrust EV, Orellana MO*, Baliga NS*. (2013) Genome-wide diel growth state transitions in the diatom Thalassiosira pseudonana. Proc. Natl. Acad. Sci. 110(18):7518-23. doi:10.1073/pnas.1300962110


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