PT  - JOURNAL ARTICLE
AU  - Susie S. Y. Huang
AU  - Fatima Al Ali
AU  - Sabri Boughorbel
AU  - Mohammed Toufiq
AU  - Damien Chaussabel
AU  - Mathieu Garand
TI  - A curated collection of transcriptome datasets to investigate the molecular mechanisms of immunoglobulin E-mediated atopic diseases
AID  - 10.1101/525477
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 525477
4099  - http://biorxiv.org/content/early/2019/01/20/525477.short
4100  - http://biorxiv.org/content/early/2019/01/20/525477.full
AB  - Prevalence of allergies has reached ~50% of industrialized populations and with children under ten being the most susceptible. However, the combination of the complexity of atopic allergy susceptibility/development and environmental factors has made identification of gene biomarkers challenging. The amount of publicly accessible transcriptomic data presents an unprecedented opportunity for mechanistic discoveries and validation of complex disease signatures across studies. However, this necessitates structured methodologies and visual tools for the interpretation of results. Here, we present a curated collection of transcriptomic datasets relevant to immunoglobin E (IgE)-mediated atopic diseases (ranging from allergies to primary immunodeficiencies). 30 datasets from the Gene Expression Omnibus (GEO), encompassing 1761 transcriptome profiles, were made available on the Gene Expression Browser (GXB), an online and open-source web application that allows for the query, visualization, and annotation of metadata. The thematic compositions, disease categories, sample number, and platforms of the collection are described. Ranked gene lists and sample grouping are used to facilitate data visualization/interpretation and are available online via GXB (http://ige.gxbsidra.org/dm3/geneBrowser/list). Dataset validation using associated publications showed good concordance in GXB gene expression trend and fold-change.Database URL: http://ige.gxbsidra.org/dm3/geneBrowser/list