Literature DB >> 26523839

Cell-based screens and phenomics with fission yeast.

Charalampos Rallis1, Jürg Bähler1.   

Abstract

Next-generation sequencing approaches have considerably advanced our understanding of genome function and regulation. However, the knowledge of gene function and complex cellular processes remains a challenge and bottleneck in biological research. Phenomics is a rapidly emerging area, which seeks to rigorously characterize all phenotypes associated with genes or gene variants. Such high-throughput phenotyping under different conditions can be a potent approach toward gene function. The fission yeast Schizosaccharomyces pombe (S. pombe) is a proven eukaryotic model organism that is increasingly used for genomewide screens and phenomic assays. In this review, we highlight current large-scale, cell-based approaches used with S. pombe, including computational colony-growth measurements, genetic interaction screens, parallel profiling using barcodes, microscopy-based cell profiling, metabolomic methods and transposon mutagenesis. These diverse methods are starting to offer rich insights into the relationship between genotypes and phenotypes.

Entities:  

Keywords:  Drug screen; functional profiling; metabolomics; microbial growth; mutant screen

Mesh:

Substances:

Year:  2015        PMID: 26523839     DOI: 10.3109/10409238.2015.1103205

Source DB:  PubMed          Journal:  Crit Rev Biochem Mol Biol        ISSN: 1040-9238            Impact factor:   8.250


  8 in total

1.  PomBase 2018: user-driven reimplementation of the fission yeast database provides rapid and intuitive access to diverse, interconnected information.

Authors:  Antonia Lock; Kim Rutherford; Midori A Harris; Jacqueline Hayles; Stephen G Oliver; Jürg Bähler; Valerie Wood
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 2.  From observing to predicting single-cell structure and function with high-throughput/high-content microscopy.

Authors:  Anatole Chessel; Rafael E Carazo Salas
Journal:  Essays Biochem       Date:  2019-07-03       Impact factor: 8.000

3.  From imaging a single cell to implementing precision medicine: an exciting new era.

Authors:  Loukia G Karacosta
Journal:  Emerg Top Life Sci       Date:  2021-12-21

4.  Functional profiling of long intergenic non-coding RNAs in fission yeast.

Authors:  Shajahan Anver; Cristina Cotobal; Stephan Kamrad; Michal Malecki; Maria Rodriguez-Lopez; Clara Correia-Melo; Mimoza Hoti; StJohn Townsend; Samuel Marguerat; Sheng Kai Pong; Mary Y Wu; Luis Montemayor; Michael Howell; Markus Ralser; Jürg Bähler
Journal:  Elife       Date:  2022-01-05       Impact factor: 8.140

5.  Photo Phenosizer, a rapid machine learning-based method to measure cell dimensions in fission yeast.

Authors:  Martin Vo; Lance Kuo-Esser; Mauricio Dominguez; Hayley Barta; Meghan Graber; Alex Rausenberger; Ryan Miller; Nathan Sommer; Wilber Escorcia
Journal:  MicroPubl Biol       Date:  2022-08-04

6.  Improving Drug Sensitivity of HIV-1 Protease Inhibitors by Restriction of Cellular Efflux System in a Fission Yeast Model.

Authors:  Jiantao Zhang; Qi Li; Shigehiro A Kawashima; Mohamed Nasr; Fengtian Xue; Richard Y Zhao
Journal:  Pathogens       Date:  2022-07-16

7.  Barcode sequencing and a high-throughput assay for chronological lifespan uncover ageing-associated genes in fission yeast.

Authors:  Catalina A Romila; StJohn Townsend; Michal Malecki; Stephan Kamrad; María Rodríguez-López; Olivia Hillson; Cristina Cotobal; Markus Ralser; Jürg Bähler
Journal:  Microb Cell       Date:  2021-05-10

8.  LI Detector: a framework for sensitive colony-based screens regardless of the distribution of fitness effects.

Authors:  Saurin Bipin Parikh; Nelson Castilho Coelho; Anne-Ruxandra Carvunis
Journal:  G3 (Bethesda)       Date:  2021-02-09       Impact factor: 3.154

  8 in total

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