J
Jürg Bähler
Researcher at University College London
Publications - 237
Citations - 24955
Jürg Bähler is an academic researcher from University College London. The author has contributed to research in topics: Schizosaccharomyces pombe & Gene. The author has an hindex of 67, co-authored 227 publications receiving 21327 citations. Previous affiliations of Jürg Bähler include University of Debrecen & European Bioinformatics Institute.
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Barcode Sequencing and a High-throughput Assay for Chronological Lifespan Uncover Ageing-associated Genes in Fission Yeast
Catalina A. Romila,StJohn Townsend,StJohn Townsend,Michal Malecki,Michal Malecki,Stephan Kamrad,Stephan Kamrad,Stephan Kamrad,María Rodríguez-López,Olivia Hillson,Cristina Cotobal,Markus Ralser,Markus Ralser,Jürg Bähler +13 more
TL;DR: In this paper, an improved experimental and computational methods to study chronological lifespan in Schizosaccharomyces pombe were presented. But the results from the Bar-seq screen showed good agreement with this new assay, validating 33 genes not previously associated with cellular ageing.
Posted ContentDOI
Pyphe: A python toolbox for assessing microbial growth and cell viability in high-throughput colony screens
Stephan Kamrad,Stephan Kamrad,María Rodríguez-López,Cristina Cotobal,Clara Correia-Melo,Markus Ralser,Markus Ralser,Jürg Bähler +7 more
TL;DR: An all-in-one solution, pyphe, for automating and improving data analysis pipelines associated with large-scale fitness screens, including image acquisition and quantification, data normalisation, and statistical analysis is presented.
Journal ArticleDOI
A metabolic strategy to enhance long-term survival by Phx1 through stationary phase-specific pyruvate decarboxylases in fission yeast.
TL;DR: Findings indicate that the Phx1-mediated long-term survival is achieved primarily through increasing the synthesis and activity of pyruvate decarboxylase.
Journal ArticleDOI
Topology of functional networks predicts physical binding of proteins
TL;DR: The analysis shows that network features are at least as predictive for the tasks the authors tested as non-network features, however, feature importance varies between species owing to different topological characteristics of the networks.
Journal ArticleDOI
Amino Acids Whose Intracellular Levels Change Most During Aging Alter Chronological Life Span of Fission Yeast.
Charalampos Rallis,Michael Mülleder,Michael Mülleder,Graeme Smith,Yan Zi Au,Markus Ralser,Jürg Bähler +6 more
TL;DR: The results raise the possibility that certain amino acids are biomarkers of aging, and their concentrations during aging can promote or limit cellular life span.