Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Comparative genomic hybridization of yeast to determine size characteristics of yeast haploid deletion strains separated by elutriation

ABSTRACT: Determination of size characteristics of pools of yeast haploid deletion strains by elutriation and barcode analysis.

INSTRUMENT(S): GenePix 4000B [Axon Instruments], ScanArray [PerkinElmer]

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Chi-Yip Ho

PROVIDER: E-MEXP-1200 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Systematic validation and atomic force microscopy of non-covalent short oligonucleotide barcode microarrays.

Cook Michael A MA Chan Chi-Kin CK Jorgensen Paul P Ketela Troy T So Daniel D Tyers Mike M Ho Chi-Yip CY

PloS one 20080206 2

<h4>Background</h4>Molecular barcode arrays provide a powerful means to analyze cellular phenotypes in parallel through detection of short (20-60 base) unique sequence tags, or "barcodes", associated with each strain or clone in a collection. However, costs of current methods for microarray construction, whether by in situ oligonucleotide synthesis or ex situ coupling of modified oligonucleotides to the slide surface are often prohibitive to large-scale analyses.<h4>Methodology/principal finding ...[more]

PMID: 18253494

Similar Datasets

Project description:The screen for genes involved in the spontaneous loss of heterozygosity mutagenesis (SLM) in diploid cells was done on the collections of deletion strains of Saccharomyces cerevisiae created by the Saccharomyces Genome Deletion Project (http://www-sequence.stanford.edu/group/yeast_deletion_project/). Screens were performed on the pools of clones. Barcode microarrays were used to detect the increased SLM frequency leading to relative increase in abundance of deletion clone in a pool. Collections used were: Homozygous Diploid (HD) and Essential (E) mixed to create single HDE pool. Three mutagenesis markers were used: (1) naturally existing mating type locus, and two newly introduced markers, (2) CAN1/can1delta, (3) URA3/ura3delta. <br>1. To detect the increased SLM frequency at the mating type locus HDE pool was crossed to MATa or MATalpha strain. Deletion clones that gained mating competence due to loss of heterozygosity (LOH) at the mating type locus gave rise to clones with the ability to grow on minimal medium. The relative abundance of these clones was compared to the abundance in the original HDE pool.<br>2. To detect the increased SLM frequency at the CAN1/can1delta locus the derivative HDE pool was created. Every cell of this pool had one of two copies of CAN1 gene deleted. The increased SLM frequency led to increased relative abundance of respective deletion clone under canavanine selection and could be estimated by comparing it to the abundance when pool was grown without selection.<br>3. To detect the increased SLM frequency at the URA3/ura3delta locus the derivative HDE pool was created. Every cell of this pool had one of two copies of URA3 gene deleted. The increased SLM frequency led to increased relative abundance of respective deletion clone under 5M-^R-fluoroorotic acid selection and could be estimated by comparing it to the abundance when pool was grown without selection.<br>4. For screens of SLM at CAN1 and URA3 markers the resistance control experiments were performed to detect genes whose deletion is sufficient to enable yeast cells with functional CAN1 or URA3 to grow in the presence of canavanine or 5M-^R- fluoroorotic acid respectively.<br>5. To include in the analysis slow-growing deletion clones control hybridizations were performed to detect genes whose deletion extends the doubling time of yeast cells.<br>

Project description:The combination of genetic analysis and genome-wide expression profiles make Saccharomyces cerevisiae the cradle of Systems Biology. The way S. cerevisiae uses carbon sources has long been a landmark for studies concerning cellular responses to environmental conditions. S. cerevisiae conserves the entire machinery for utilization of fatty acids, yet with a different compartmentalization compared to higher eukaryotes. We propose S. cerevisiae as a model to understand how perixosomal compartmentalization of oleate metabolism co-evolved with the transcriptional regulatory networks of FA metabolism. With this aim, we performed growth competition experiments in oleate on the pooled collection of all viable yeast null mutants. We integrated results of competitive fitness with transcriptional profiles in oleate, identifying two genes previously not directly associated to FA metabolism: OAR1 and FET3. For the first time we show the importance of iron metabolism not only in maintaining functional mitochondria, but also in influencing peroxisome wellness. An aliquot of the Yeast Homozygous Diploid Deletion Pool (95401.H1Pool, Invitrogen), containing equal amounts of each barcoded viable knock-out mutant from the Saccharomyces Genome Deletion project, was grown in the presence of G418 in YPD medium for 24h, then aliquots of 5x10^7 cells were harvested and stored at -80M-BM-0C. From the same pooled culture, equal amounts of cells were washed and transferred to YP medium added with oleic acid 0.1% and 5%. We collected samples of cells 24h and 72h after carbon source metabolic shift, and genomic DNA was extracted. Each experiment was performed in biological duplicate. The upTAG and downTAG regions were amplified separately in PCR reactions, one for each experimental condition, using specific primers. Amplified upTAG and downTAG sequences were combined in equal amounts and used to probe high-density oligonucleotide arrays (Affymetrix GeneChip_DNA_Tag3). Data analysis was performed as previously described (Pierce et al., 2007). In order to adapt this data analysis protocol to our experimental design, and to the use of GeneChip_DNA_Tag3 arrays, some changes to the procedure have been improved.

Dataset Information

Comparative genomic hybridization of yeast to determine size characteristics of yeast haploid deletion strains separated by elutriation

Publications

Systematic validation and atomic force microscopy of non-covalent short oligonucleotide barcode microarrays.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure