Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Stephan Kamrad"'
Autor:
María Rodríguez-López, Nicola Bordin, Jon Lees, Harry Scholes, Shaimaa Hassan, Quentin Saintain, Stephan Kamrad, Christine Orengo, Jürg Bähler
Publikováno v:
eLife, Vol 12 (2023)
Many proteins remain poorly characterized even in well-studied organisms, presenting a bottleneck for research. We applied phenomics and machine-learning approaches with Schizosaccharomyces pombe for broad cues on protein functions. We assayed colony
Externí odkaz:
https://doaj.org/article/1e2e0ac5bcd64e5a95d52821d8b5c76a
Autor:
Natalia Gabrielli, Christoniki Maga‐Nteve, Eleni Kafkia, Mandy Rettel, Jakob Loeffler, Stephan Kamrad, Athanasios Typas, Kiran Raosaheb Patil
Publikováno v:
Molecular Systems Biology, Vol 19, Iss 4, Pp 1-13 (2023)
Abstract Cross‐feeding is fundamental to the diversity and function of microbial communities. However, identification of cross‐fed metabolites is often challenging due to the universality of metabolic and biosynthetic intermediates. Here, we use
Externí odkaz:
https://doaj.org/article/3c565358b43c4edaaac68e3c97920bb7
Autor:
Catalina A. Romila, StJohn Townsend, Michal Malecki, Stephan Kamrad, María Rodríguez-López, Olivia Hillson, Cristina Cotobal, Markus Ralser, Jürg Bähler
Publikováno v:
Microbial Cell, Vol 8, Iss 7, Pp 146-160 (2021)
Ageing-related processes are largely conserved, with simple organisms remaining the main platform to discover and dissect new ageing-associated genes. Yeasts provide potent model systems to study cellular ageing owing their amenability to systematic
Externí odkaz:
https://doaj.org/article/792d2d11245640b28c2403ad1eef10fa
Autor:
Stephan Kamrad, Jan Grossbach, Maria Rodríguez‐López, Michael Mülleder, StJohn Townsend, Valentina Cappelletti, Gorjan Stojanovski, Clara Correia‐Melo, Paola Picotti, Andreas Beyer, Markus Ralser, Jürg Bähler
Publikováno v:
Molecular Systems Biology, Vol 16, Iss 4, Pp 1-19 (2020)
Abstract Cells balance glycolysis with respiration to support their metabolic needs in different environmental or physiological contexts. With abundant glucose, many cells prefer to grow by aerobic glycolysis or fermentation. Using 161 natural isolat
Externí odkaz:
https://doaj.org/article/75c014a6c6ba42eaac2a2c6e6001b4d4
Autor:
Maria Rodriguez-Lopez, Shajahan Anver, Cristina Cotobal, Stephan Kamrad, Michal Malecki, Clara Correia-Melo, Mimoza Hoti, StJohn Townsend, Samuel Marguerat, Sheng Kai Pong, Mary Y Wu, Luis Montemayor, Michael Howell, Markus Ralser, Jürg Bähler
Publikováno v:
eLife, Vol 11 (2022)
Externí odkaz:
https://doaj.org/article/527974d2fb9e434e84096cbb204e09da
Autor:
Maria Rodriguez-Lopez, Shajahan Anver, Cristina Cotobal, Stephan Kamrad, Michal Malecki, Clara Correia-Melo, Mimoza Hoti, StJohn Townsend, Samuel Marguerat, Sheng Kai Pong, Mary Y Wu, Luis Montemayor, Michael Howell, Markus Ralser, Jürg Bähler
Publikováno v:
eLife, Vol 11 (2022)
Eukaryotic genomes express numerous long intergenic non-coding RNAs (lincRNAs) that do not overlap any coding genes. Some lincRNAs function in various aspects of gene regulation, but it is not clear in general to what extent lincRNAs contribute to th
Externí odkaz:
https://doaj.org/article/817fde84c4244994a2ac74da02dfcfb1
Autor:
Stephan Kamrad, María Rodríguez-López, Cristina Cotobal, Clara Correia-Melo, Markus Ralser, Jürg Bähler
Publikováno v:
eLife, Vol 9 (2020)
Microbial fitness screens are a key technique in functional genomics. We present an all-in-one solution, pyphe, for automating and improving data analysis pipelines associated with large-scale fitness screens, including image acquisition and quantifi
Externí odkaz:
https://doaj.org/article/e356280b32db4a8999a595a13a10a5ee
Autor:
Christoph B. Messner, Vadim Demichev, Julia Muenzner, Simran K. Aulakh, Natalie Barthel, Annika Röhl, Lucía Herrera-Domínguez, Anna-Sophia Egger, Stephan Kamrad, Jing Hou, Guihong Tan, Oliver Lemke, Enrica Calvani, Lukasz Szyrwiel, Michael Mülleder, Kathryn S. Lilley, Charles Boone, Georg Kustatscher, Markus Ralser
Publikováno v:
Cell
Messner, C B, Demichev, V, Muenzner, J, Aulakh, S K, Barthel, N, Röhl, A, Herrera-Domínguez, L, Egger, A, Kamrad, S, Hou, J, Tan, G, Lemke, O, Calvani, E, Szyrwiel, L, Mülleder, M, Lilley, K S, Boone, C, Kustatscher, G & Ralser, M 2023, ' The proteomic landscape of genome-wide genetic perturbations ', Cell, vol. 186, no. 9 . https://doi.org/10.1016/j.cell.2023.03.026
Messner, C B, Demichev, V, Muenzner, J, Aulakh, S K, Barthel, N, Röhl, A, Herrera-Domínguez, L, Egger, A, Kamrad, S, Hou, J, Tan, G, Lemke, O, Calvani, E, Szyrwiel, L, Mülleder, M, Lilley, K S, Boone, C, Kustatscher, G & Ralser, M 2023, ' The proteomic landscape of genome-wide genetic perturbations ', Cell, vol. 186, no. 9 . https://doi.org/10.1016/j.cell.2023.03.026
Functional genomic strategies have become fundamental for annotating gene function and regulatory networks. Here, we combined functional genomics with proteomics by quantifying protein abundances in a genome-scale knockout library in Saccharomyces ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f2d60b8045d42b55731221ebbf452f9
https://hdl.handle.net/21.11116/0000-000D-2B00-321.11116/0000-000D-2B02-1
https://hdl.handle.net/21.11116/0000-000D-2B00-321.11116/0000-000D-2B02-1
Autor:
Stephan Kamrad, Clara Correia-Melo, Lukasz Szyrwiel, Simran Kaur Aulakh, Jürg Bähler, Vadim Demichev, Michael Mülleder, Markus Ralser
Publikováno v:
Nature Microbiology
Genetically identical cells are known to differ in many physiological parameters such as growth rate and drug tolerance. Metabolic specialization is believed to be a cause of such phenotypic heterogeneity, but detection of metabolically divergent sub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::987c07735c7e604ed1f6b7dc67bd8583
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2477
Colony fitness screens are powerful approaches for functional genomics and genetics. This protocol describes experimental and computational procedures for assaying the fitness of thousands of microbial strains in numerous conditions in parallel. Data