High-throughput measurements of fitness effects of mutations in the yeast U3 snoRNA

We used a molecular barcoding approach to quantify the fitness of ~60,000 randomly mutated variants of the Saccharomyces cerevisiae U3 snoRNA (the data were further used to calculate a map of intragenic epistatic interactions within this RNA molecule, as descibed in Puchta et al. 2016) Overall design: We generated two independent mutant libraries ('Small' with ~3 and 'Big' with ~10 SNPs per allele) on centromeric plasmid, with 20nt random barcodes placed in a non-transcribed region downstream of the gene (PE Samples 30-37 - paired-end sequencing of: U3, 70nt linker and 20nt barcode) next we performed competition experiments in several conditions (E1-5) on populations of yeast cells transformed with both libraries and measured frequencies of mutated variants in time-points during the experiment by deep sequencing of barcodes (Samples 1-29).

Identifier
Source https://data.blue-cloud.org/search-details?step=~012BC7EA62B77AE7CE15324E0FD93C32137C65E8D04
Metadata Access https://data.blue-cloud.org/api/collections/BC7EA62B77AE7CE15324E0FD93C32137C65E8D04
Provenance
Instrument Illumina HiSeq 2500; Illumina MiSeq; Ion Torrent Proton; ION_TORRENT; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Temporal Point 2016-02-11T00:00:00Z