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Peter F Stadler

Publications and source records attributed to Peter F Stadler.

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Disturbance of poised chromatin coincides with increased expression of developmental genes in cancer

Poised (bivalent or paused) chromatin comprises activating and repressing histone modifications at the same location (Voigt et al., 2013). This combination of epigenetic marks keeps genes expressed at low levels but poised for rapid activation (Margaritis and Holstege, 2008; Mikkelsen et al., 2007). Typically, DNA at poised promoters carries low levels of methylation in normal cells (Meissner et al., 2008; Roadmap Epigenomics Consortium et al., 2015), but frequently shows elevated methylation levels in cancer samples (Hinoue et al., 2012; Gal-Yam et al., 2008; Ohm et al., 2007; Rodriguez et al., 2008; Easwaran et al., 2012). Although higher levels of methylation are normally associated with transcriptional silencing, recently counter-intuitive positive correlations between methylation and expression levels have been reported for two cancer types (Hahn et al., 2014; Kretzmer et al.,). Here, we analyze one of the largest combined expression and methylation data-sets to date, comprising over 5,000 samples and demonstrate that the hypermethylation of poised chromatin in conjunction with up-regulation of the corresponding genes is a general phenomenon in cancer. This up-regulation affects developmental genes and transcription factors, including many genes implicated in cancer. From analysis of 7,000 methylation data sets, we built a universal classifier that can identify cancer samples solely from the hypermethylation status of originally poised chromatin. We reason that the alteration of the epigenetic status of poised chromatin is intimately linked to tumorigenesis.

Cancer Biology

SHAPE directed RNA folding

SummaryChemical mapping experiments allow for nucleotide resolution assessment of RNA structure. We demonstrate that different strategies of integrating probing data with thermodynamics-based RNA secondary structure prediction algorithms can be implemented by means of soft constraints. This amounts to incorporating suitable pseudo-energies into the standard energy model for RNA secondary structures. As a showcase application for this new feature of the viennaRNA Package we compare three distinct, previously published strategies to utilize SHAPE reactivities for structure prediction. The new tool is benchmarked on a set of RNAs with known reference structure.\n\nAvailability and implementationThe capability for SHAPE directed RNA folding is part of the upcoming release of the viennaRNA Package 2.2, for which a preliminary release is already freely available at http://www.tbi.univie.ac.at/RNA.\n\nContactmichael.wolfinger@univie.ac.at\n\nSupplementary informationSupplementary data is attached.

Bioinformatics