Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Anagha Krishnan"'
Autor:
Melissa Cano, Anagha Krishnan, Devin A. Karns, Maria A. Likhogrud, Joseph C. Weissman, Matthew C. Posewitz
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2024)
Domestication of algae for food and renewable biofuels remains limited by the low photosynthetic efficiencies of processes that have evolved to be competitive for optimal light capture, incentivizing the development of large antennas in light-limitin
Externí odkaz:
https://doaj.org/article/b32b34bbe1e74aeba41f44d6ab0291f6
Autor:
Anagha Krishnan, Melissa Cano, Devin A. Karns, Tyson A. Burch, Maria Likhogrud, Moena Aqui, Shaun Bailey, John Verruto, William Lambert, Fedor Kuzminov, Mahva Naghipor, Yingjun Wang, Christopher C. Ebmeier, Joseph C. Weissman, Matthew C. Posewitz
Publikováno v:
Plant Direct, Vol 7, Iss 9, Pp n/a-n/a (2023)
Abstract High cellular pigment levels in dense microalgal cultures contribute to excess light absorption. To improve photosynthetic yields in the marine microalga Picochlorum celeri, CAS9 gene editing was used to target the molecular chaperone cpSRP4
Externí odkaz:
https://doaj.org/article/16c0af3cc9f64dcc8aea3d57de705432
Autor:
Anagha Krishnan, Maria Likhogrud, Melissa Cano, Scott Edmundson, Jenna B. Melanson, Michael Huesemann, John McGowen, Joseph C. Weissman, Matthew C. Posewitz
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract With fast growth rates, broad halotolerance and the ability to thrive at high temperatures, algae in the genus Picochlorum are emerging as promising biomass producers. Recently, we isolated a remarkably productive strain, Picochlorum celeri,
Externí odkaz:
https://doaj.org/article/29dfffa23cca41a6a95a3a20b0b6a63b
Autor:
Darrian M. Newman, Cara L. Sake, Alexander J. Metcalf, Fiona K. Davies, Melissa Cano, Anagha Krishnan, Nanette R. Boyle
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Synechococcus sp. PCC 7002 is a unicellular cyanobacterium capable of fast growth and tolerance to high light intensity and high salinity. These attributes along with genetic tractability make Synechococcus sp. PCC 7002 an attractive candidate for in
Externí odkaz:
https://doaj.org/article/15ca909aad86446dbbc10b83b746289d
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Concerns about climate change and environmental destruction have led to interest in technologies that can replace fossil fuels and petrochemicals with compounds derived from sustainable sources that have lower environmental impact. Fatty alcohols pro
Externí odkaz:
https://doaj.org/article/fecec4f9bfc844c1993332878e1f74fc
Supplementary Table 2 from Gene Expression: Protein Interaction Systems Network Modeling Identifies Transformation-Associated Molecules and Pathways in Ovarian Cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::186bd77d8c496e1b33905e2281595c97
https://doi.org/10.1158/0008-5472.22382598
https://doi.org/10.1158/0008-5472.22382598
Supplementary Figures 1-5 from Gene Expression: Protein Interaction Systems Network Modeling Identifies Transformation-Associated Molecules and Pathways in Ovarian Cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a7bff05a8a78917da756b98ab8ba57e
https://doi.org/10.1158/0008-5472.22382604.v1
https://doi.org/10.1158/0008-5472.22382604.v1
Details of A4 Cell System from Gene Expression: Protein Interaction Systems Network Modeling Identifies Transformation-Associated Molecules and Pathways in Ovarian Cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08e82dc0467e29a8c5afbcca0bf3f96f
https://doi.org/10.1158/0008-5472.22382607
https://doi.org/10.1158/0008-5472.22382607
Dataset 2 from Gene Expression: Protein Interaction Systems Network Modeling Identifies Transformation-Associated Molecules and Pathways in Ovarian Cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b00716103c0bb0809db925585fa1373
https://doi.org/10.1158/0008-5472.22382610
https://doi.org/10.1158/0008-5472.22382610
Supplementary Tables 3-5 from Gene Expression: Protein Interaction Systems Network Modeling Identifies Transformation-Associated Molecules and Pathways in Ovarian Cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::975191ed36e837781a12a1279670c3da
https://doi.org/10.1158/0008-5472.22382589.v1
https://doi.org/10.1158/0008-5472.22382589.v1