Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sergej Andrejev"'
Autor:
Payam Ghiaci, Paula Jouhten, Nikolay Martyushenko, Helena Roca-Mesa, Jennifer Vázquez, Dimitrios Konstantinidis, Simon Stenberg, Sergej Andrejev, Kristina Grkovska, Albert Mas, Gemma Beltran, Eivind Almaas, Kiran R Patil, Jonas Warringer
Publikováno v:
Molecular Systems Biology, Vol 20, Iss 10, Pp 1109-1133 (2024)
Abstract Adaptive Laboratory Evolution (ALE) of microorganisms can improve the efficiency of sustainable industrial processes important to the global economy. However, stochasticity and genetic background effects often lead to suboptimal outcomes dur
Externí odkaz:
https://doaj.org/article/8cd5838ac08648588b42bf11566a2d5b
Autor:
Lorenzo Corazzi, Vivien S. Ionasz, Sergej Andrejev, Li-Chin Wang, Athanasios Vouzas, Marco Giaisi, Giulia Di Muzio, Boyu Ding, Anna J. M. Marx, Jonas Henkenjohann, Michael M. Allers, David M. Gilbert, Pei-Chi Wei
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Recurrent DNA break clusters (RDCs) are replication-transcription collision hotspots; many are unique to neural progenitor cells. Through high-resolution replication sequencing and a capture-ligation assay in mouse neural progenitor cells ex
Externí odkaz:
https://doaj.org/article/13d7755a88784e01a7e8da33478c4219
Autor:
Paula Jouhten, Dimitrios Konstantinidis, Filipa Pereira, Sergej Andrejev, Kristina Grkovska, Sandra Castillo, Payam Ghiaci, Gemma Beltran, Eivind Almaas, Albert Mas, Jonas Warringer, Ramon Gonzalez, Pilar Morales, Kiran R Patil
Publikováno v:
Molecular Systems Biology, Vol 20, Iss 11, Pp 1260-1260 (2024)
Externí odkaz:
https://doaj.org/article/2e6d0791fcc942559e0aabd37ac82a80
Autor:
Paula Jouhten, Dimitrios Konstantinidis, Filipa Pereira, Sergej Andrejev, Kristina Grkovska, Sandra Castillo, Payam Ghiachi, Gemma Beltran, Eivind Almaas, Albert Mas, Jonas Warringer, Ramon Gonzalez, Pilar Morales, Kiran R Patil
Publikováno v:
Molecular Systems Biology, Vol 18, Iss 10, Pp 1-18 (2022)
Abstract Adaptive evolution under controlled laboratory conditions has been highly effective in selecting organisms with beneficial phenotypes such as stress tolerance. The evolution route is particularly attractive when the organisms are either diff
Externí odkaz:
https://doaj.org/article/ba56688f07884fe2828fa6593af19657
Autor:
Vinita Periwal, Stefan Bassler, Sergej Andrejev, Natalia Gabrielli, Kaustubh Raosaheb Patil, Athanasios Typas, Kiran Raosaheb Patil
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4, p e1010029 (2022)
Natural compounds constitute a rich resource of potential small molecule therapeutics. While experimental access to this resource is limited due to its vast diversity and difficulties in systematic purification, computational assessment of structural
Externí odkaz:
https://doaj.org/article/a12aeb8b9e0344608538881c2a542b29
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 11, p e1002758 (2012)
Genome-scale metabolic networks provide a comprehensive structural framework for modeling genotype-phenotype relationships through flux simulations. The solution space for the metabolic flux state of the cell is typically very large and optimization-
Externí odkaz:
https://doaj.org/article/7b23482a144943daa5361d28caf3f745
Autor:
Kaustubh R. Patil, Daniel Machado, Sergej Andrejev, Kiran Raosaheb Patil, Yongkyu Kim, Peer Bork, Oleksandr M. Maistrenko
Publikováno v:
Nature ecology & evolution
Nature ecology & evolution 5, 195–203 (2021). doi:10.1038/s41559-020-01353-4
Nature ecology & evolution 5, 195–203 (2021). doi:10.1038/s41559-020-01353-4
Resource competition and metabolic cross-feeding are among the main drivers of microbial community assembly. Yet, the degree to which these two conflicting forces are reflected in the composition of natural communities has not been systematically inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3511ee67a821aa87251774f0c542f895
http://europepmc.org/articles/PMC7610595
http://europepmc.org/articles/PMC7610595
Autor:
Payam Ghiaci, Paula Jouhten, Nikolay Martyushenko, Helena Roca-Mesa, Jennifer Vázquez, Dimitrios Konstantinidis, Simon Stenberg, Sergej Andrejev, Kristina Grkovska, Albert Mas, Gemma Beltran, Eivind Almaas, Kiran R. Patil, Jonas Warringer
Adaptive Laboratory Evolution (ALE) of microbes can improve the efficiency of sustainable industrial processes important to the global economy, but chance and genetic background effects often lead to suboptimal outcomes. Here we report an ALE platfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3d67925ad8c8acedc55c633344edae7
https://doi.org/10.1101/2022.04.18.488345
https://doi.org/10.1101/2022.04.18.488345
Autor:
Thomas Bock, Sonja Blasche, Manuel Banzhaf, Daniel C. Sévin, Kiran Raosaheb Patil, Filipe Cabreiro, Katharina Zirngibl, Martin Beck, Prasad Phapale, André Mateus, Leo Nesme, Martina Klünemann, Sergej Andrejev, Yongkyu Kim, Saravanan Devendran, Eleni Kafkia, Manjeet Kumar, Peer Bork, Lisa A. Maier, Timothy A. Scott, Eleonora Mastrorilli, Athanasios Typas, Carsten Schultz, Melanie Tramontano, Ana Rita Brochado, Mikhail M. Savitski, Felix Hövelmann, Dimitrios Konstantinidis, Marie-Therese Mackmull, Johanna Vappiani, Michael B. Zimmermann, Janosch Hennig, Vinita Periwal, Bernd Simon
Publikováno v:
Nature
Bacteria in the gut can modulate the availability and efficacy of therapeutic drugs. However, the systematic mapping of the interactions between drugs and bacteria has only started recently1 and the main underlying mechanism proposed is the chemical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb7945cab1a921806bff4628d6ea786d
https://hdl.handle.net/21.11116/0000-0009-246C-6
https://hdl.handle.net/21.11116/0000-0009-246C-6
Autor:
Kiran Raosaheb Patil, Paula Jouhten, Ramon Gonzalez, Jonas Warringer, Dimitrios Konstantinidis, Pilar Morales, Filipa Pereira, Albert Mas, Sergej Andrejev, Ghiachi P, Grkovska K, Eivind Almaas, G. Beltran
Traits lacking fitness benefit cannot be directly selected for under Darwinian evolution. Thus, features such as metabolite secretion are currently inaccessible to adaptive laboratory evolution. Here, we utilize environment-dependency of trait correl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d55e26bb5e185669532a99d3ef14b19
https://doi.org/10.1101/2021.05.14.443989
https://doi.org/10.1101/2021.05.14.443989