dbMAE

dbMAE catalogs autosomal monoallelic expression (MAE) data from human and mouse tissues to enable analysis of allelic imbalance and associated chromatin signatures.

Key Features:

• Extensive Data Compilation: Integrates genome-wide analyses of allelic imbalance from multiple studies of clonal cell populations, including direct measurements and indirect identifications based on chromatin signatures of MAE gene bodies.
• Comprehensive Coverage: Contains transcriptome-wide chromatin identification calls for 8 human tissues and 21 mouse tissues, reporting over 16,000 biased expression cases in mouse and approximately 700 cases in human derived from allele-specific RNA sequencing (RNA-seq) and genotyping array data.
• Manual Curation: All entries are manually curated to ensure data accuracy and reliability.
• Uniform Data Analysis: Transcriptome-wide RNA-seq datasets have been re-analyzed using a standardized pipeline to provide consistency across publications.
• Source Provenance: Each data entry includes detailed source references, including links to raw data.

Scientific Applications:

• Gene regulation and epigenetics: Enables investigation of the role of monoallelic expression in gene regulation, allelic imbalance, and epigenetic control.
• Tissue- and cell-type screening: Supports screening for genes exhibiting MAE within specific tissues or cell types to identify candidate regulatory elements.
• Genetics, genomics, and developmental biology: Provides curated MAE datasets useful for studies in genetics, genomics, developmental biology, and related fields.

Methodology:

Integration of genome-wide allelic imbalance analyses using allele-specific RNA-seq and genotyping array data; indirect MAE identification via chromatin-signature detection and transcriptome-wide chromatin identification calls; re-analysis of transcriptome-wide RNA-seq using a standardized pipeline.