Project description:The objective of our study is to characterize gene expression signatures associated with in vivo artemisinin-resistance phenotype in this large-scale genome-wide association study. To achieve this goal, we employed microarray technology to establish the global gene expression profiles of isolates sampled from 1043 patients, of whom after treatment with ACTs (artemisinin combination therapy) displayed differential rates of parasite clearance. P. falciparum isolates were sampled from the whole blood of 1043 malaria-infected patients prior to ACT treatment. Sampling was done across 14 field sites spanning across South East Asia (Pailin, Pursat, Preah Vihear, Rattanakiri in Cambodia; Mae Sot, Srisakhet, Khun Han, Ranong in Thailand; Shwe Kyin in Myanmar; Binh Phuoc in Vietnam; Attapeu in Laos), to Bangladesh and African DR Congo from 2010 to 2012. RNA were extracted and synthesis and amplification of target DNA was carried out as described in Bozdech, Z., S. Mok & A. P. Gupta, (2013) DNA microarray-based genome-wide analyses of Plasmodium parasites. Methods in molecular biology 923: 189-211 (PMID 22990779), to generate sufficient material for hybridizations against a common RNA reference pool of 3D7 strain using a microarray platform.
Project description:The diurnal transcriptome of field-grown Glycine max was investigated in relation to diurnal physiological processes in the field and compared to diurnal transcription data from growth chamber studies
Project description:Our research goal is to illustrate the potential of gene expression profiling to discriminate between polluted and non-polluted field sites and predict the presence of a specific contaminant. Using a gene expression analysis, we challenged our custom Daphnia magna cDNA microarray to determine the presence of a specific metal toxicant in blinded field samples collected from two copper mines in California. We compared the gene expression profiles from our field samples to previously established expression profiles for Cu, Cd, and Zn. The expression profiles from the Cu containing field samples clustered with the Cu specific gene expression profiles. Many of the previously discovered copper biomarkers were also differentially expressed in the field samples, suggesting that gene expression analysis is capable of producing robust biomarkers of exposure, which can be validated in field studies. In addition, our study revealed that upstream field samples containing undetectable levels of Cu caused the differential expression of only a few genes, lending support for the concept of a No Observed Transcriptional Effect Level (NOTEL). If confirmed by further studies, the NOTEL may play an important role in discriminating polluted and non-polluted sites in future monitoring efforts. Keywords: ecotoxicogenomic exposure study