RNA-sequencing of wild-type (HHY168 background), REB1-FRB, and BDP1-FRB Saccharomyces cerevisiae strains
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
PROVIDER: GSE75585 | GEO | 2018/12/01
REPOSITORIES: GEO
Similar Datasets
Project description:RNA-seq of total RNA in various anchor away strains with and without the addition of rapamycin.
| PRJNA383312 | ENA
Project description:CRAC of yeast RNA polymerase II in various thermosensitive strains at permissive and non-permissive temperature and anchor-away strains with the addition of rapamycin.
| PRJNA383311 | ENA
Project description:We obtained RNA polymerase II occupancy profile across the genome of S.cerevisiae in several strains, Wild type at 25 and 37 degrees C, RNA15-1 at 25 and 37 degrees C, anchor-away parental strain plus rapamycin, Reb1 anchor-away plus rapamycin, Rap1 anchor-away plus rapamycin, Nrd1-AID plus auxin, and nrd1-AID without auxin. This allowed us to compare polymerase profiles when these proteins are depleted from the nucleus.
2018-01-10 | GSE97913 | GEO
Project description:UnlabelledA major obstacle to sustainable lignocellulosic biofuel production is microbe inhibition by the combinatorial stresses in pretreated plant hydrolysate. Chemical biomass pretreatment releases a suite of toxins that interact with other stressors, including high osmolarity and temperature, which together can have poorly understood synergistic effects on cells. Improving tolerance in industrial strains has been hindered, in part because the mechanisms of tolerance reported in the literature often fail to recapitulate in other strain backgrounds. Here, we explored and then exploited variations in stress tolerance, toxin-induced transcriptomic responses, and fitness effects of gene overexpression in different Saccharomyces cerevisiae (yeast) strains to identify genes and processes linked to tolerance of hydrolysate stressors. Using six different S. cerevisiae strains that together maximized phenotypic and genetic diversity, first we explored transcriptomic differences between resistant and sensitive strains to identify common and strain-specific responses. This comparative analysis implicated primary cellular targets of hydrolysate toxins, secondary effects of defective defense strategies, and mechanisms of tolerance. Dissecting the responses to individual hydrolysate components across strains pointed to synergistic interactions between osmolarity, pH, hydrolysate toxins, and nutrient composition. By characterizing the effects of high-copy gene overexpression in three different strains, we revealed the breadth of the background-specific effects of gene fitness contributions in synthetic hydrolysate. Our approach identified new genes for engineering improved stress tolerance in diverse strains while illuminating the effects of genetic background on molecular mechanisms.ImportanceRecent studies on natural variation within Saccharomyces cerevisiae have uncovered substantial phenotypic diversity. Here, we took advantage of this diversity, using it as a tool to infer the effects of combinatorial stress found in lignocellulosic hydrolysate. By comparing sensitive and tolerant strains, we implicated primary cellular targets of hydrolysate toxins and elucidated the physiological states of cells when exposed to this stress. We also explored the strain-specific effects of gene overexpression to further identify strain-specific responses to hydrolysate stresses and to identify genes that improve hydrolysate tolerance independent of strain background. This study underscores the importance of studying multiple strains to understand the effects of hydrolysate stress and provides a method to find genes that improve tolerance across strain backgrounds.
| S-EPMC5038035 | biostudies-literature
Project description:BackgroundChromosomal rearrangements such as duplications and deletions are key factors in evolutionary processes because they promote genomic plasticity. Although the genetic variations in the Saccharomyces cerevisiae species have been well documented, there is little known to date about the impact of the genetic background on the appearance of rearrangements.ResultsUsing the same genetic screening, the type of rearrangements and the mutation rates observed in the S288c S. cerevisiae strain were compared to previous findings obtained in the FL100 background. Transposon-associated rearrangements, a major chromosomal rearrangement event selected in FL100, were not detected in S288c. The mechanisms involved in the occurrence of deletions and duplications in the S288c strain were also tackled, using strains deleted for genes implicated in homologous recombination (HR) or non-homologous end joining (NHEJ). Our results indicate that an Yku80p-independent NHEJ pathway is involved in the occurrence of these rearrangements in the S288c background.ConclusionThe comparison of two different S. cerevisiae strains, FL100 and S288c, allowed us to conclude that intra-species genomic variations have an important impact on the occurrence of chromosomal rearrangement and that this variability can partly be explained by differences in Ty1 retrotransposon activity.
| S-EPMC2674068 | biostudies-literature
Project description:Loss-of-function (LoF) mutations associated with disease do not manifest equally in different individuals. The impact of the genetic background on the consequences of LoF mutations remains poorly characterized. Here, we systematically assessed the changes in gene deletion phenotypes for 3,786 gene knockouts in four Saccharomyces cerevisiae strains and 38 conditions. We observed 18.5% of deletion phenotypes changing between pairs of strains on average with a small fraction conserved in all four strains. Conditions causing higher wild-type growth differences and the deletion of pleiotropic genes showed above-average changes in phenotypes. In addition, we performed a genome-wide association study (GWAS) for growth under the same conditions for a panel of 925 yeast isolates. Gene-condition associations derived from GWAS were not enriched for genes with deletion phenotypes under the same conditions. However, cases where the results were congruent indicate the most likely mechanism underlying the GWAS signal. Overall, these results show a high degree of genetic background dependencies for LoF phenotypes.
| S-EPMC6901017 | biostudies-literature
Project description:These three replicates were analyzed in "Genomewide identification of Sko1 target promoters reveals a regulatory network that operates in response to osmotic stress in Saccharomyces cerevisiae. ", by Proft M, Gibbons FD, Copeland M, Roth FP, Struhl K; published in Eukaryot Cell. 2005 Aug;4(8):1343-52. A new analysis algorithm for Chip-chip data ('Chipper') is described in Genome Biology. Manuscript entitled "Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization." by FD Gibbons, M Proft, K Struhl, and FP Roth. Accepted, no publication date as yet. Keywords: ChIP-chip
2005-09-21 | GSE3335 | GEO
Project description:Genetic selection coupled to next-generation sequencing reveals structural requirements for tail-anchor targeting to mitochondria
| PRJNA315053 | ENA
Project description:Nuclear depletion of Mot1 and NC2beta by anchor-away reveals cooperation in vivo to regulate TBP function and gene expression
2011-10-06 | E-TABM-1177 | biostudies-arrayexpress
Project description:We measured the transcriptome of yeast cells during the depletion of chromatin regulators using anchor away
2023-06-29 | GSE234023 | GEO