VISION

VISION integrates epigenomic datasets from mouse and human hematopoietic cells to map regulatory landscapes and elucidate how GATA1, GATA2, GATA3 and Ikaros transcription factors govern hematopoiesis.

Key Features:

• Epigenomic Data Integration: Incorporates nuclease accessibility, CTCF occupancy, and histone H3 modifications across twenty distinct cell types including hematopoietic stem cells, multilineage progenitors, and mature blood lineage cells from mouse and human.
• IDEAS Framework: Employs the Integrative and Discriminative Epigenome Annotation System (IDEAS) to analyze data along chromosomes and across cell types, learning common combinations of epigenetic features to segment the genome.
• Regulatory Landscape Mapping: Identifies constitutively active or silent loci and loci specifically induced or repressed across hematopoietic stages and lineages.
• Candidate Regulatory Elements Identification: Designates nuclease-accessible DNA segments within active chromatin states as candidate cis-regulatory elements for each cell type, yielding a comprehensive registry of hematopoietic candidate regulatory elements.

Scientific Applications:

• GATA and Ikaros regulation: Facilitates analysis of how GATA1, GATA2, GATA3, and Ikaros transcription factors interact with the epigenome to regulate target genes.
• Hematopoietic differentiation: Supports investigation of regulatory mechanisms driving hematopoietic differentiation and lineage-specific gene expression.

Methodology:

Uses IDEAS to learn common combinations of epigenetic states simultaneously across chromosomes and cell types and to produce a genome segmentation representing regulatory states.