Dataset Information

McGill Epigenomics Mapping Centre

ABSTRACT: The McGill Epigenomics Mapping Centre (EMC) and Data Coordination Centre (EDCC) were established in 2012 at the McGill University and Genome Quebec Innovation Centre (Montreal, Canada) to support large-scale human epigenome mapping for a broad spectrum of cell types and diseases. Previous epigenetic studies have provided profiles of specific chromatin marks in relation to basic biological processes, and future studies of molecular mechanisms must build upon these proofs-of-concept by integrating sequence-based variation with multiple levels of epigenetic and transcriptional regulation across the genome of human tissues and animal disease models. This project leverages the high-throughput sequencing infrastructure and expertise in genomics and transcriptomics at the McGill Innovation Centre to carry out this research. Controlled access to the data by collaborators and the greater scientific community is gained via a portal, which takes advantage of Compute Canada high-performance computing cluster resources to manage the large volume of data associated from the generation of reference epigenome maps. McGill University is one of two Canadian mapping and data coordination centres, the other based at the Michael Smith Genome Sciences Centre in Vancouver, British Columbia. The generation of comprehensive epigenome maps at McGill University is part of a larger international effort that is coordinated by the International Human Epigenome Consortium (IHEC), whose overall long-term objective is to determine the extent to which the epigenome shapes human populations over generations and in response to the environment. This project is funded under the Canadian Epigenetics, Environment, and Health Research Consortium (CEEHRC) by the Canadian Institutes of Health Research and by Genome Quebec, with additional support from Genome Canada. The computing and networking infrastructure, and part of the software development, are provided by Compute Canada and CANARIE.

PROVIDER: EGAS00001000995 | EGA |

REPOSITORIES: EGA

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Publications

Epigenome data release: a participant-centered approach to privacy protection.

Dyke Stephanie O M SO Cheung Warren A WA Joly Yann Y Ammerpohl Ole O Lutsik Pavlo P Rothstein Mark A MA Caron Maxime M Busche Stephan S Bourque Guillaume G Rönnblom Lars L Flicek Paul P Beck Stephan S Hirst Martin M Stunnenberg Henk H Siebert Reiner R Walter Jörn J Pastinen Tomi T

Genome biology 20150717

Large-scale epigenome mapping by the NIH Roadmap Epigenomics Project, the ENCODE Consortium and the International Human Epigenome Consortium (IHEC) produces genome-wide DNA methylation data at one base-pair resolution. We examine how such data can be made open-access while balancing appropriate interpretation and genomic privacy. We propose guidelines for data release that both reduce ambiguity in the interpretation of open-access data and limit immediate access to genetic variation data that ar ...[more]

PMID: 26185018

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Project description:Many reports show an association between the Pst system, the Pho regulon related genes and bacterial virulence. Our previous results showed that a functional Pst system is required for full virulence, resistance to serum, polymyxin B and acid shock However, the interplay between the Pst system and virulence has an unknown molecular basis. To understand global APEC virulent strain responses to Pho regulon activation, we conducted transcriptome profiling experiments comparing the isogenic Pst mutant with its wild type strain chi7122 using the Affymetrix GeneChipÂ® E. coli Genome 2.0 Array. To understand the global responses to Pho regulon activation of APEC, we use the Affymetrix technology. We conducted transcriptome profiling experiments comparing the APEC chi7122 strain and its isogenic Pst mutant grown in rich phosphate medium using the Affymetrix GeneChipÂ® E. coli Genome 2.0 Array. The Affymetrix GeneChipÂ® E. coli Genome 2.0 Array contains the genome of the E. coli MG1655 and three pathogenic E. coli strain (EDL933, Sakai and CFT073) representing 20,366 genes. While comparing genes expression between Pst mutant and the wild type chi7122 strain, 471 genes are either up- (254) or down-regulated (217) of at least 1.5-fold, with a p-value inferior or equal to 0.05 and a false discovery rate of 2.71%. Experiment Overall Design: RNA extraction was performed onto the chi7122 and K3 strains on four biological replicates. An overnight culture grown at 37Â°C was diluted 100-fold into 5 ml of LB broth and was allowed to grow to mid-log phase (OD600 0,6). Cultures were centrifuged and RNAs were isolated by using the RiboPureâ¢-Bacteria Kit (Ambion, Austin, TX), according to the manufacturerâs recommendations, with the exception that the DNAse 1 treatment was performed twice. RNA extractions were performed on four different days (the chi7122 and K3 RNA were extracted at the same time) and a total of eight hybridizations were performed. Hybridization was carried out at McGill University & Genome Quebec Innovation Centre according to the Affymetrix recommendation (Affymetrix Expression Manual Section 3 701029 rev. 4). GeneChip scan was carried out at McGill University & Genome Quebec Innovation Centre according to the Affymetrix recommendation (Affymetrix Expression Manual Section 3 701029 rev. 4), and data were processed using the FlexArray software (Michal Blazejczyk, Mathieu Miron, Robert Nadon (2007). FlexArray: A statistical data analysis software for gene expression microarrays. Genome Quebec, Montreal, Canada). Raw data were normalized using the RMA algorithm and log2 were generated. The expression value was generated by subtracting the mean value of each replicate of the mutant strain by wild-type strain.

Dataset Information

McGill Epigenomics Mapping Centre

Publications

Epigenome data release: a participant-centered approach to privacy protection.

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