ScienceNeurosciencePeer-reviewed journal article
Cross-species transcriptomic and epigenomic analysis reveals key regulators of injury response and neuronal regeneration in vertebrate retinas.
Thanh V. HoangiD, Jie WangiD, Patrick BoydiD, Fang WangiD, Clayton P. SantiagoiD, Lizhi JiangiD, Sooyeon YooiD, Manuela LahneiD, Levi J. ToddiD, Meng Xue JiaiD, Cristian Saez GonzaleziD, Casey J. KeuthaniD, Isabella PalazzoiD, Natalie A. SquiresiD, Warren A. CampbelliD, Fatemeh RajaiiiD, Trisha ParayiliD, Vickie TrinhiD, Dong Won KimiD, Guohua WangiD, Leah J. CampbelliD, John D. AshiD, Andy J. FischeriD, David R. HydeiD, Jiang X. QianiD, Seth BlackshawiD
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Abstract
Injury induces retinal Muller glia of cold-blooded, but not mammalian, vertebrates to regenerate neurons. To identify gene regulatory networks that control neuronal reprogramming in retinal glia, we comprehensively profiled injury-dependent changes in gene expression and chromatin accessibility in Muller glia from zebrafish, chick and mice using bulk RNA-Seq and ATAC-Seq, as well as single-cell RNA-Seq. Cross-species integrative analysis of these data, together with functional validation, identified evolutionarily conserved and species-specific gene networks controlling glial quiescence, gliosis and neurogenesis. In zebrafish and chick, transition from the resting state to gliosis is essential for initiation of retinal regeneration, while in mice a dedicated network suppresses neurogenic competence and restores quiescence. Selective disruption of NFI family transcription factors, which maintain and restore quiescence, enables Muller glia to proliferate and generate neurons in adult mice following retinal injury. These findings may aid in the design of cell-based therapies aimed at restoring retinal neurons lost to degenerative disease. Summary sentenceThis study identifies gene regulatory networks controlling proliferative and neurogenic competence in retinal Muller glia.
- organism: zebrafish
- organism: mouse
- organism: multiple species
- assay: bulk RNA-seq
- assay: ATAC-seq
- assay: scRNA-seq
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
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