Systematic integration of GATA transcription factors and epigenomes via IDEAS paints the regulatory landscape of hematopoietic cells.
Ross Cameron HardisonYu ZhangCheryl A KellerGuanjue XiangElisabeth F HeustonLin AnJens LichtenbergBelinda M GiardineDavid BodineShaun MahonyQunhua LiFeng YueMitchell J WeissGerd A BlobelJames TaylorJim HughesDouglas R HiggsBerthold GöttgensPublished in: IUBMB life (2019)
Members of the GATA family of transcription factors play key roles in the differentiation of specific cell lineages by regulating the expression of target genes. Three GATA factors play distinct roles in hematopoietic differentiation. In order to better understand how these GATA factors function to regulate genes throughout the genome, we are studying the epigenomic and transcriptional landscapes of hematopoietic cells in a model-driven, integrative fashion. We have formed the collaborative multi-lab VISION project to conduct ValIdated Systematic IntegratiON of epigenomic data in mouse and human hematopoiesis. The epigenomic data included nuclease accessibility in chromatin, CTCF occupancy, and histone H3 modifications for 20 cell types covering hematopoietic stem cells, multilineage progenitor cells, and mature cells across the blood cell lineages of mouse. The analysis used the Integrative and Discriminative Epigenome Annotation System (IDEAS), which learns all common combinations of features (epigenetic states) simultaneously in two dimensions-along chromosomes and across cell types. The result is a segmentation that effectively paints the regulatory landscape in readily interpretable views, revealing constitutively active or silent loci as well as the loci specifically induced or repressed in each stage and lineage. Nuclease accessible DNA segments in active chromatin states were designated candidate cis-regulatory elements in each cell type, providing one of the most comprehensive registries of candidate hematopoietic regulatory elements to date. Applications of VISION resources are illustrated for the regulation of genes encoding GATA1, GATA2, GATA3, and Ikaros. VISION resources are freely available from our website http://usevision.org.
Keyphrases
- transcription factor
- genome wide identification
- dna binding
- single cell
- genome wide
- induced apoptosis
- stem cells
- bone marrow
- cell therapy
- dna methylation
- cell cycle arrest
- gene expression
- rna seq
- oxidative stress
- dna damage
- electronic health record
- endoplasmic reticulum stress
- signaling pathway
- big data
- circulating tumor
- cell proliferation
- poor prognosis
- deep learning
- mesenchymal stem cells
- convolutional neural network
- stress induced