GliaNeurosciencePeer-reviewed journal article
Chromatin access regulates the formation of Muller glia-derived progenitor cells in the retina
Warren A. CampbelliD, Heithem M. El‐HodiriiD, Diego Torres, Evan C. Hawthorn, Lisa E. Kelly, Leo I. VolkoviD, David Akanonu, Andy J. FischeriD
Abstract
Chromatin access and epigenetic control over gene expression play important roles in regulating developmental processes. However, little is known about how chromatin access and epigenetic gene silencing influence mature glial cells and retinal regeneration. Herein we investigate the expression and functions of S-Adenosylhomocysteine Hydrolase (SAHH; AHCY) and Histone Methyltransferases (HMTs) during the formation of Muller glia-derived progenitor cells (MGPCs) in the chick and mouse retinas. In chick, AHCY, AHCYL1, AHCYL2 and many different HMTs are dynamically expressed by MG and MGPCs in damaged retinas. Inhibition of SAHH reduced levels of H3K27me3 and potently blocks the formation of proliferating MGPCs. By using a combination of single cell RNA-seq and single cell ATAC-seq, we find significant changes in gene expression and chromatin access in MG with SAHH inhibition and NMDA-treatment; many of these genes are associated with glial and neuronal differentiation. A strong correlation across gene expression, chromatin access, and transcription factor motif access in MG was observed for transcription factors known to covey glial identity and promote retinal development. By comparison, in the mouse retina, inhibition of SAHH has no influence on the formation of neuron-like cells from Ascl1-overexpressing MG. We conclude that in the chick, but not the mouse, the activity of SAHH and HMTs are required for the reprogramming of MG into MGPCs by regulating chromatin access to transcription factors associated with glial differentiation and retinal development.
- organism: mouse
- organism: zebrafish
- assay: scRNA-seq
- assay: scATAC-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
- Citations
- 19
- FWCI
- 1.69
- Field percentile
- top 16%
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