Distinct mechanisms of regulation of the ITGA6 and ITGB4 genes by RUNX1 in myeloid cells.
Jessica L PhillipsPhillippa C TaberlayAlexandra M WoodworthKristine HardyKate H Brettingham-MooreJoanne L DickinsonAdele F HollowayPublished in: Journal of cellular physiology (2017)
Integrins are transmembrane adhesion receptors that play an important role in hematopoiesis by facilitating interactions between hematopoietic cells and extracellular matrix components of the bone marrow and hematopoietic tissues. These interactions are important in regulating the function, proliferation, and differentiation of hematopoietic cells, as well as their homing and mobilization in the bone marrow. Not surprisingly altered expression and function of integrins plays a key role in the development and progression of cancer including leukemias. However, the regulation of integrin gene expression is not well characterized and the mechanisms by which integrin genes are disrupted in cancer remain unclear. Here we demonstrate for the first time that a key regulator of hematopoiesis, RUNX1, binds to and regulates the promoters of both the ITGA6 and ITGB4 genes in myeloid cells. The ITGA6 and ITGB4 integrin genes form the α6β4 integrin receptor. However, our data indicate that RUNX1 functions differently at these two promoters. RUNX1 regulates ITGA6 through a consensus RUNX1 binding motif in its promoter. In contrast, although the ITGB4 promoter is also activated by RUNX1, it does so in the absence of a recognized consensus RUNX1 binding motif. Furthermore, our data suggest that regulation of ITGB4 may involve interactions between the promoter and upstream regulatory elements.
Keyphrases
- bone marrow
- transcription factor
- gene expression
- induced apoptosis
- dna methylation
- cell cycle arrest
- genome wide
- genome wide identification
- extracellular matrix
- dna binding
- mesenchymal stem cells
- endoplasmic reticulum stress
- signaling pathway
- oxidative stress
- acute myeloid leukemia
- poor prognosis
- machine learning
- cell proliferation
- dendritic cells
- binding protein
- escherichia coli
- computed tomography
- cell death
- squamous cell
- cell migration
- artificial intelligence
- electronic health record
- big data
- deep learning
- cell adhesion
- clinical practice
- contrast enhanced
- hematopoietic stem cell