Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Saccharomyces cerevisiae

ABSTRACT: Pathway swapping: towards modular engineering of essential cellular processes in Saccharomyces cerevisiae

PROVIDER: PRJNA317665 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR3345871_1.fastq.gz	Fastqsanger.gz
	SRR3345871_2.fastq.gz	Fastqsanger.gz
	SRR3345881_1.fastq.gz	Fastqsanger.gz
	SRR3345881_2.fastq.gz	Fastqsanger.gz
	SRR3345891_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 8

Similar Datasets

Yeast cells: Mutant M1 vs. the control with and without oxidative stress

Project description:Transcription profiles of mutant M1 and the control in the absence/presence of 4mM H2O2 M1 is a mutated Saccharomyces cerevisiae strain. It was obtained through transcriptional engineering of general transcription factor TFIIB. Encoded by SUA7, TFIIB is reported to regulate the expression of over 730 genes in Saccharomyces cerevisiae. M1 showed significant growth improvement compared with the control when challenged with 4mM H2O2. It also had resistance towards high osmotic pressure (1.5M NaCl).

2016-03-10 | GSE79037 | GEO

Yeast cells: Mutant M1 vs. the control with and without oxidative stress

2016-03-10 | E-GEOD-79037 | biostudies-arrayexpress

Genome-wide expression profiling of the response to D-limonene in Saccharomyces cerevisiae

Project description:Metabolic engineering of Saccharomyces cerevisiae for efficient monoterpenes production was mostly restricted by the limited tolerance to these chemicals. Understanding of the molecular mechanisms underlying the tolerance of S. cerevisiae to monoterpenes was essential for the de novo biosynthesis these chemicals in S. cerevisiae. In this study, commercial oligonucleotide microarray assays were performed to investigate the global response of S. cerevisiae to typical monoterpene D-limonene under transcriptional level. Yeast cell treated with sublethal dose of D-liomonene, gene change profiles were investigated at transcription level and the microarry data were also verified with quantitative real time PCR. D-limonene induced gene expression in Saccharomyces cerevisiae at early logarithmic phase was measured at 2 hours after exposure to doses of 0.02% (v/v) D-limonene. Three independent experiments were performed for each experiment (control or 2 hours).

2013-12-23 | E-GEOD-34665 | biostudies-arrayexpress

Evolutionary engineering of the pentose phosphate pathway in Saccharomyces cerevisiae.

Project description:Engineering the pentose phosphate pathway in Saccharomyces cerevisiae using an evolutionary engineering based strategy.

| PRJEB6586 | ENA

Genome-wide expression profiling of the response to D-limonene in Saccharomyces cerevisiae

2013-12-23 | GSE34665 | GEO

Design and experimental evaluation of a minimal, innocuous watermarking strategy to distinguish near-identical DNA and RNA sequences

Project description:The construction of powerful cell factories requires intensive and extensive remodelling of microbial genomes. Considering the rapidly increasing number of these synthetic biology endeavours, there is an increasing need for DNA watermarking strategies that enable the discrimination between synthetic and native gene copies. While it is well documented that codon usage can affect translation, and most likely mRNA stability in eukaryotes, remarkably few quantitative studies explore the impact of watermarking on transcription, protein expression and physiology in the popular model and industrial yeast Saccharomyces cerevisiae. The present study, using S. cerevisiae as eukaryotic paradigm, designed, implemented and experimentally validated a systematic strategy to watermark DNA with minimal alteration of yeast physiology. The thirteen genes encoding proteins involved in the major pathway for sugar utilization (i.e glycolysis and alcoholic fermentation) were simultaneously watermarked in a yeast strain using the previously published pathway swapping strategy. Carefully swapping codons of these naturally codon optimized, highly expressed genes, did not alter transcript abundance, protein activity and yeast physiology. The markerQuant bioinformatics method could reliably discriminate native from watermarked genes and transcripts. Furthermore, presence of watermarks enabled selective CRISPR/Cas genome editing, specifically targeting the native gene copy while leaving the synthetic, watermarked variant intact. This study offers a validated strategy to simply watermark genes in S. cerevisiae.

2020-06-29 | GSE135470 | GEO

A supernumerary designer chromosome for modular in vivo pathway assembly in Saccharomyces cerevisiae

Project description:A supernumerary designer chromosome for modular in vivo pathway assembly in Saccharomyces cerevisiae

| PRJNA669988 | ENA

Saccharomyces cerevisiae CEN.PK113-7D breed:Synthetic chromosome

Project description:A supernumerary designer chromosome for modular in vivo pathway assembly in Saccharomyces cerevisiae

| PRJNA596648 | ENA

Transcriptomic analysis of a propolis-resistant Saccharomyces cerevisiae strain obtained by evolutionary engineering

Project description:A propolis-resistant Saccharomyces cerevisiae mutant strain was obtained using an evolutionary engineering strategy based on successive batch cultivation under gradually increasing propolis levels. The mutant strain FD 11 was selected at a propolis concentration that the reference strain could not grow at all. Whole-genome transcriptomic analysis of FD11 was performed with respect to its reference strain to determine differences in gene expression levels between the two strains. Saccharomyces cerevisiae

2024-11-07 | GSE280996 | GEO

RNA-seq of yeast cell cycle, used for absolute gene expression quantification

Project description:We use Saccharomyces cerevisiae to perform absolute quantitative multi-omics analysis to map interactions of different cellular processes during the yeast cell cycle.

2020-03-30 | E-MTAB-8565 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data