Integrative meta-analysis of public and novel vertebrate BBB omics data and establishment of the BBBhub platform

ESR 4 vision / project

David Francisco - University of Bern

ESR 4

Integrative meta-analysis of public and novel vertebrate BBB omics data and establishment of the BBBhub platform

Objectives

There is a wealth of publicly available transcriptomics (microarray and RNA-seq) and some proteomics data on brain barriers from vertebrates, in particular from rodents. In addition, large amounts of expression data will be generated in BtRAIN project that needs to be accessible, organized and analyzed. We aim to: Employing an integrative, cross species meta-analysis approach based on publicly available data to define so far hidden BBB vertebrate signature genes. This includes a high-level pathway/gene network analysis. RNA-seq and pathway analyses of non-inflamed/inflamed vs ischemic mouse in vitro BBB model. Establishment of a BBBHub platform: Implement of existing open source tools (such as openBIS) to support data workflows from source (instruments) to the processed data as well as to organize and distribute the data within the consortium.

Expected Results

Uncovering hidden BBB signature genes in public transcriptomics data sets in vertebrates. Defining signature genes for the ischemic versus the inflamed BBB. Establishment of online platform BBBHub for data distribution, storage and data analysis workflows.

Hosting institution

University of Bern, Interfaculty Bioinformatics Unit, Switzerland

Supervisor

Rémy Bruggmann

Early Stage Researcher

David Francisco