Temperature Shift Between Vineyards Modulates Berry Phenology and Primary Metabolism in a Varietal Collection of Wine Grapevine

Autor: Kelem Gashu, Noga Sikron Persi, Elyashiv Drori, Eran Harcavi, Nurit Agam, Amnon Bustan, Aaron Fait

Publikováno v: Frontiers in Plant Science, Vol 11 (2020)

Global climate change and the expected increase in temperature are altering the relationship between geography and grapevine (V. vinifera) varietal performance, and the implications of which are yet to be fully understood. We investigated berry pheno

Externí odkaz: https://doaj.org/article/2b8e0a7c10ff4086b0030ddc09cd723a

Metabolic Engineering Strategy Enables a Hundred-Fold Increase in Viniferin Levels in Vitis vinifera cv. Gamay Red Cell Culture

Autor: Avichai Perl, Irena Dynkin, Sangram K. Lenka, Ru Wang, Noga Sikron-Persi, Michal Oren-Shamir, Varun Kumar, David Weiss, Aaron Fait, Kelem Gashu

Publikováno v: Journal of Agricultural and Food Chemistry. 69:3124-3133

Stilbenes are phytoalexins with health-promoting benefits for humans. Here, we boost stilbenes' production, and in particular the resveratrol dehydrodimer viniferin, with significant pharmacological properties, by overexpressing stilbene synthase (ST

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::688db342d536ef992034e352c9d042c2
https://doi.org/10.1021/acs.jafc.0c08086

Differential Response to Single and Combined Salt and Heat Stresses: Impact on Accumulation of Proteins and Metabolites in Dead Pericarps of Brassica juncea

Autor: Jeevan R. Singiri, Bupur Swetha, Gideon Grafi, Noga Sikron-Persi

Publikováno v: International Journal of Molecular Sciences
Volume 22
Issue 13
International Journal of Molecular Sciences, Vol 22, Iss 7076, p 7076 (2021)

Dead organs enclosing embryos, such as seed coats and pericarps, are emerging as important maternally-derived components of the dispersal unit that affect seed performance and fate. In the face of climate change and increased incidents of heatwaves,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c5ea6056d35e04c60919af70f5e957

Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS

Autor: Kelem Gashu, Madeleine Ernst, Mélissa Nothias Esposito, Kirill Veselkov, Michael M. Meijler, Robert A. Quinn, Gaud Dervilly, Audrey Poirier, Katherine N. Maloney, tzhak MizrahiI, Chao Song, Thomas O. Metz, Roman S. Borisov, Rob Knight, Mabel Gonzalez, Roxana Coras, Amina Bouslimani, Chiara Carazzone, Vasilis Vasiliou, Alexander A. Aksenov, Wout Bittremieux, Yann Guitton, Daniel Petras, Zheng Zhang, Larisa N. Kulikova, Robin Schmid, Ilaria Belluomo, James T. Morton, Sneha P. Couvillion, Brooke Anderson, Carrie D. Nicora, Kenneth L. Jones, S. Prévost, Sophie L. F. Doran, Louis-Félix Nothias, Dennis Veselkov, Erika M. Zink, Bruno Le Bizec, Andrea M. Smania, Chris Callewaert, Justin J. J. van der Hooft, Rachel Gregor, Pauline Le Boulch, Alexey V. Melnik, Adolfo Amézquita, Biswapriya B. Misra, Noga Sikron Persi, Mingxun Wang, Raphaël Lugan, Rachel Dutton, Morgan Panitchpakdi, Pieter C. Dorrestein, Meagan C. Burnet, Elizabeth Humston Fulmer, Ivan Laponogov, George B. Hanna, Viatcheslav B. Artaev, Kathleen Dorrestein, Aaron Fait, Andrea Georgina Albarracín Orio, Stav Eyal

Publikováno v: bioRxiv

Gas chromatography-mass spectrometry (GC-MS) represents an analytical technique with significant practical societal impact. Spectral deconvolution is an essential step for interpreting GC-MS data. No public GC-MS repositories that also enable reposit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::178962b4d09dd2517983d7aea490ebf6
https://hal.archives-ouvertes.fr/hal-03173091

Auto-deconvolution and molecular networking of gas chromatography-mass spectrometry data

Autor: Ilaria Belluomo, Morgan Panitchpakdi, Aleksandr Smirnov, Mélissa Nothias-Esposito, Alexey V. Melnik, Gaud Dervilly, Rachel J. Dutton, Adolfo Amézquita, Vasilis Vasiliou, Zheng Zhang, Daniel Petras, Carrie D. Nicora, Audrey Poirier, James T. Morton, Ivan Laponogov, George B. Hanna, Sneha P. Couvillion, Biswapriya B. Misra, Robin Schmid, Wout Bittremieux, Raphaël Lugan, Brooke A. Anderson, Yann Guitton, Chris Callewaert, Kenneth L. Jones, Robert A. Quinn, Rob Knight, Larisa N. Kulikova, Itzhak Mizrahi, Erika M. Zink, Mabel Gonzalez, Sophie L. F. Doran, Rachel Gregor, Pauline Le Boulch, Kelem Gashu, Xiuxia Du, Michael M. Meijler, Kirill Veselkov, Chao Song, Elizabeth Humston-Fulmer, Noga Sikron Persi, Justin J. J. van der Hooft, Dennis Veselkov, Monica Guma, Kathleen Dorrestein, Saleh Alseekh, Roxana Coras, Chiara Carazzone, Thomas O. Metz, Aaron Fait, Andrea Georgina Albarracín Orio, Alexander A. Aksenov, Jose U. Scher, Andrea M. Smania, Bruno Le Bizec, Stav Eyal, Dinesh Kumar Barupal, Pieter C. Dorrestein, Alisdair R. Fernie, Reza Mirnezami, S. Prévost, Louis-Félix Nothias, Meagan C. Burnet, Viatcheslav B. Artaev, Mingxun Wang, Katherine N. Maloney, Julia Manasson, Madeleine Ernst, Roman S. Borisov, Amina Bouslimani

Publikováno v: Nat Biotechnol
Nature biotechnology
Aksenov, Alexander A., Laponogov, Ivan, Zhang, Zheng, Doran, Sophie L. F., Belluomo, Ilaria, Veselkov, Dennis, Bittremieux, Wout, Nothias, Louis Felix, Nothias-Esposito, Mélissa, Maloney, Katherine N., Misra, Biswapriya B., Melnik, Alexey V., Smirnov, Aleksandr, Du, Xiuxia, Jones, Kenneth L., Dorrestein, Kathleen, Panitchpakdi, Morgan, Ernst, Madeleine, van der Hooft, Justin J. J., Gonzalez, Mabel, Carazzone, Chiara, Amézquita, Adolfo, Callewaert, Chris, Morton, James T., Quinn, Robert A., Bouslimani, Amina, Orio, Andrea Albarracín, Petras, Daniel, Smania, Andrea M., Couvillion, Sneha P., Burnet, Meagan C., Nicora, Carrie D., Zink, Erika, Metz, Thomas O., Artaev, Viatcheslav, Humston-Fulmer, Elizabeth, Gregor, Rachel, Meijler, Michael M., Mizrahi, Itzhak, Eyal, Stav, Anderson, Brooke, Dutton, Rachel, Lugan, Raphaël, Boulch, Pauline Le, Guitton, Yann, Prevost, Stephanie, Poirier, Audrey, Dervilly, Gaud, Le Bizec, Bruno, Fait, Aaron, Persi, Noga Sikron, Song, Chao, Gashu, Kelem, Coras, Roxana, Guma, Monica, Manasson, Julia, Scher, Jose U., Barupal, Dinesh Kumar, Alseekh, Saleh, Fernie, Alisdair R., Mirnezami, Reza, Vasiliou, Vasilis, Schmid, Robin, Borisov, Roman S., Kulikova, Larisa N., Knight, Rob, Wang, Mingxun, Hanna, George B., Dorrestein, Pieter C. and Veselkov, Kirill (2021) Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data. Nature Biotechnology, 39 (2). ISSN 1087-0156
Nature Biotechnology
Nature Biotechnology, 39(2), 169-173
Nature Biotechnology, Nature Publishing Group, 2021, 39 (2), pp.169-173. ⟨10.1038/s41587-020-0700-3⟩
Nature Biotechnology 39 (2021) 2
Nature biotechnology, vol 39, iss 2

We engineered a machine learning approach, MSHub, to enable auto-deconvolution of gas chromatography–mass spectrometry (GC–MS) data. We then designed workflows to enable the community to store, process, share, annotate, compare and perform molecu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1ff89483759269c68c13571b23db181
http://hdl.handle.net/10044/1/84598