Project description:Drought is one of the most detrimental environmental factors that adversely affect crop production, thus jeopardizing food supplies for a growing world population. Over the past years, it has become evident that microorganisms associated with plants can enhance drought tolerance. However, the specific genetic and molecular mechanisms underpinning bacterial induction of drought tolerance in plants are still largely unknown. In our work, we have shown that a root endophytic Flavobacterium sp. 98 confers significant drought tolerance to Arabidopsis thaliana without compromising growth and yield. Here, we compared the transcriptome of Arabidopsis seedlings inoculated with Flavobacterium or mock (time series) to identify transcription reprograming induced by Flavo in plants.
Project description:Background: Although genetic or epigenetic alterations have shown to affect the three-dimensional organization of genomes, the utility of chromatin conformation in the classification of human disease has never been addressed. Results: Here, we explore whether chromatin conformation can be used to classify human leukemia. We map the conformation of the HOXA gene cluster in a panel of cell lines with 5C chromosome conformation capture technology, and use the data to train and test a support vector machine classifier named 3D-SP. We show that 3D-SP is able to accurately distinguish leukemias expressing MLL-fusion proteins from those expressing only wild-type MLL, and that it can also classify leukemia subtypes according to MLL fusion partner, based solely on 5C data. Conclusions: Our study provides the first proof-of-principle demonstration that chromatin conformation contains the information value necessary for classification of leukemia subtypes. Analysis of 38 samples using 5C technology. All data normalized using a 'master' BAC consisting of 5C data from 6 samples.
