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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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In silico characterization and prediction of global protein–mRNA interactions in yeast

TL;DR: It is investigated here to what extent RBP–RNA interactions can be predicted based on RBP and mRNA features other than sequence motifs, and a machine-learning approach is applied to predict specific RBP targets in yeast.
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SCFPof1-ubiquitin and its target Zip1 transcription factor mediate cadmium response in fission yeast

TL;DR: The results indicate that Zip1 mediates growth arrest in cadmium response, which is essential to maintain viability, Normally growing cells prevent this response through constitutive ubiquitylation and degradation of Zip1 via SCFPof1.
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Impairment of the TFIIH-associated CDK-activating kinase selectively affects cell cycle-regulated gene expression in fission yeast.

TL;DR: The fission yeast Mcs6-Mcs2-Pmh1 complex, homologous to metazoan Cdk7-cyclin H-Mat1, has dual functions in cell division and transcription and influences the cell cycle transcriptional program, possibly through its TFIIH-associated kinase function.
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The fission yeast HIRA histone chaperone is required for promoter silencing and the suppression of cryptic antisense transcripts.

TL;DR: The global roles of the HIRA histone chaperone in Schizosaccharomyces pombe are assessed and it is suggested that HIRA restricts genomic accessibility, and consistent with this, the chromosomes of cells lacking HIRA are more susceptible to genotoxic agents that cause double-strand breaks.
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The more the merrier: comparative analysis of microarray studies on cell cycle-regulated genes in fission yeast.

TL;DR: Reanalysis of the three datasets reveals that combining all independent information leads to an improved identification of periodically expressed genes, and suggests that the available microarray data do not allow reliable identification of more than about 500 cell cycle‐regulated genes.