Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Artemisinic Acid Production Stress in Yeast

ABSTRACT: We have enginereed S. cerevisiae to produce high titers of Artemisinic acid, an anti-malarial drug precursor. Here we compare the gene expression profiles of the producer strain (EPY330) and a strain in which the last enzyme of the pathway (CYP71AV1, AMO) was inactivated by a point mutation (EPY338). 5 independent clones of each strain were precultured and inoculated in galactose-inducing medium for production. Each clone was harvested after 24, 48 and 72h of induction and total RNA was extracted. RNA from replicate clones was pooled in equal proportions and used for labeling and hybridization of 4 or 5 replicate slides for each time point.

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Mario Ouellet

PROVIDER: E-GEOD-11620 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Induction of multiple pleiotropic drug resistance genes in yeast engineered to produce an increased level of anti-malarial drug precursor, artemisinic acid.

Ro Dae-Kyun DK Ouellet Mario M Paradise Eric M EM Burd Helcio H Eng Diana D Paddon Chris J CJ Newman Jack D JD Keasling Jay D JD

BMC biotechnology 20081104

<h4>Background</h4>Due to the global occurrence of multi-drug-resistant malarial parasites (Plasmodium falciparum), the anti-malarial drug most effective against malaria is artemisinin, a natural product (sesquiterpene lactone endoperoxide) extracted from sweet wormwood (Artemisia annua). However, artemisinin is in short supply and unaffordable to most malaria patients. Artemisinin can be semi-synthesized from its precursor artemisinic acid, which can be synthesized from simple sugars using micr ...[more]

PMID: 18983675

Similar Datasets

Project description:Melanoma can progress rapidly from a slow-growing surgically curable lesion to aggressive metastatic disease, with high mortality and poor response to current therapies. The mechanisms underlying melanoma progression and resistance to therapeutic agents are not well understood. There are few treatment options for melanoma once it has metastasized, and new biomarkers that aid diagnosis, predict clinical outcome, and suggest new therapies are required. This aim of this study was to invesigate the molecular basis of melanoma biology and heterogeneity by defining genomic characteristics that correlated with tumour phenotype in a novel panel of 25 cell lines derived largely from New Zealand patients with metastatic melanoma. The goals of this study were to (i) stratify melanoma cell lines by using global gene expression profiling ; (ii) correlate gene expression profiles with invasive potential; and (iii) identify new prognostic markers and therapeutic targets that might aid clinical cancer diagnosis and management. Two-colour spotted oligonucleotide microarrays were used to measure global gene expression in metastatic melanoma cell lines against a common universal reference. Biological replication was achieved by performing replicate arrays on a subset of randomly selected cell lines, in which the replicate total RNA samples were isolated from different vials of cells at different passage numbers, grown by different researchers, and often in different laboratories. Further, NZM01 and NZM02 were derived from different tumours from the same patient at different surgeries, and NZM07.2 and 07.4 were derived from the NZM07 cell line. The array hybridisations were peformed in three batches. Technical replication was achieved by using intra- and inter-batch replicates with different RNA samples from 6/25 of the cell lines: NZM04, 2 x batch 1, 1 x batch 2; NZM22, 2 x batch 1; NZM40, 1 x batch 1, 1 x batch 2; NZM06, 1 x batch 1, 1 x batch 3; NZM09, 1 x batch 1, 1 x batch 2; NZM15, 1 x batch 2, 1 x batch 3.

Dataset Information

Artemisinic Acid Production Stress in Yeast

Publications

Induction of multiple pleiotropic drug resistance genes in yeast engineered to produce an increased level of anti-malarial drug precursor, artemisinic acid.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets