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Norrie JL, Lupo MS, Little DR, Shirinifard A, Mishra A, Zhang Q, Geiger N, Putnam D, Djekidel N, Ramirez C, Xu B, Dundee JM, Yu J, Chen X, Dyer MA. Latent epigenetic programs in Müller glia contribute to stress and disease response in the retina. Dev Cell 2025; 60:1199-1216.e7. [PMID: 39753128 PMCID: PMC12014377 DOI: 10.1016/j.devcel.2024.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 07/09/2024] [Accepted: 12/06/2024] [Indexed: 04/24/2025]
Abstract
Previous studies have demonstrated the dynamic changes in chromatin structure during retinal development correlate with changes in gene expression. However, those studies lack cellular resolution. Here, we integrate single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) with bulk data to identify cell-type-specific changes in chromatin structure during human and murine development. Although promoter activity is correlated with chromatin accessibility, we discovered several hundred genes that were transcriptionally silent but had accessible chromatin at their promoters. Most of those silent/accessible gene promoters were in Müller glial cells, which function to maintain retinal homeostasis and respond to stress, injury, or disease. We refer to these as "pliancy genes" because they allow the Müller glia to rapidly change their gene expression and cellular state in response to retinal insults. The Müller glial cell pliancy program is established during development, and we demonstrate that pliancy genes are important for regulating inflammation in the murine retina in vivo.
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Affiliation(s)
- Jackie L Norrie
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Marybeth S Lupo
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Danielle R Little
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Abbas Shirinifard
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Akhilesh Mishra
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Qiong Zhang
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Natalie Geiger
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Daniel Putnam
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Nadhir Djekidel
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Cody Ramirez
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Beisi Xu
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jacob M Dundee
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jiang Yu
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Xiang Chen
- Departments of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Michael A Dyer
- Departments of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
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Norrie JL, Lupo M, Shirinifard A, Djekidel N, Ramirez C, Xu B, Dundee JM, Dyer MA. Latent Epigenetic Programs in Müller Glia Contribute to Stress, Injury, and Disease Response in the Retina. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.15.562396. [PMID: 37905050 PMCID: PMC10614790 DOI: 10.1101/2023.10.15.562396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Previous studies have demonstrated the dynamic changes in chromatin structure during retinal development that correlate with changes in gene expression. However, a major limitation of those prior studies was the lack of cellular resolution. Here, we integrate single-cell (sc) RNA-seq and scATAC-seq with bulk retinal data sets to identify cell type-specific changes in the chromatin structure during development. Although most genes' promoter activity is strongly correlated with chromatin accessibility, we discovered several hundred genes that were transcriptionally silent but had accessible chromatin at their promoters. Most of those silent/accessible gene promoters were in the Müller glial cells. The Müller cells are radial glia of the retina and perform a variety of essential functions to maintain retinal homeostasis and respond to stress, injury, or disease. The silent/accessible genes in Müller glia are enriched in pathways related to inflammation, angiogenesis, and other types of cell-cell signaling and were rapidly activated when we tested 15 different physiologically relevant conditions to mimic retinal stress, injury, or disease in human and murine retinae. We refer to these as "pliancy genes" because they allow the Müller glia to rapidly change their gene expression and cellular state in response to different types of retinal insults. The Müller glial cell pliancy program is established during development, and we demonstrate that pliancy genes are necessary and sufficient for regulating inflammation in the murine retina in vivo. In zebrafish, Müller glia can de-differentiate and form retinal progenitor cells that replace lost neurons. The pro-inflammatory pliancy gene cascade is not activated in zebrafish Müller glia following injury, and we propose a model in which species-specific pliancy programs underly the differential response to retinal damage in species that can regenerate retinal neurons (zebrafish) versus those that cannot (humans and mice).
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Wei J, Li L, Song H, Du Z, Yang J, Zhang M, Liu X. Response of a neuronal network computational model to infrared neural stimulation. Front Comput Neurosci 2022; 16:933818. [PMID: 36045903 PMCID: PMC9423709 DOI: 10.3389/fncom.2022.933818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Infrared neural stimulation (INS), as a novel form of neuromodulation, allows modulating the activity of nerve cells through thermally induced capacitive currents and thermal sensitivity ion channels. However, fundamental questions remain about the exact mechanism of INS and how the photothermal effect influences the neural response. Computational neural modeling can provide a powerful methodology for understanding the law of action of INS. We developed a temperature-dependent model of ion channels and membrane capacitance based on the photothermal effect to quantify the effect of INS on the direct response of individual neurons and neuronal networks. The neurons were connected through excitatory and inhibitory synapses and constituted a complex neuronal network model. Our results showed that a slight increase in temperature promoted the neuronal spikes and enhanced network activity, whereas the ultra-temperature inhibited neuronal activity. This biophysically based simulation illustrated the optical dose-dependent biphasic cell response with capacitive current as the core change condition. The computational model provided a new sight to elucidate mechanisms and inform parameter selection of INS.
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Affiliation(s)
- Jinzhao Wei
- Key Laboratory of Digital Medical Engineering of Hebei, Hebei University, Baoding, China
- College of Electronic and Information Engineering, Hebei University, Baoding, China
| | - Licong Li
- Key Laboratory of Digital Medical Engineering of Hebei, Hebei University, Baoding, China
- College of Electronic and Information Engineering, Hebei University, Baoding, China
- Licong Li
| | - Hao Song
- Key Laboratory of Digital Medical Engineering of Hebei, Hebei University, Baoding, China
- College of Electronic and Information Engineering, Hebei University, Baoding, China
| | - Zhaoning Du
- Key Laboratory of Digital Medical Engineering of Hebei, Hebei University, Baoding, China
- College of Electronic and Information Engineering, Hebei University, Baoding, China
| | - Jianli Yang
- Key Laboratory of Digital Medical Engineering of Hebei, Hebei University, Baoding, China
- College of Electronic and Information Engineering, Hebei University, Baoding, China
| | - Mingsha Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research at BNU, Beijing Normal University, Beijing, China
- Division of Psychology, Beijing Normal University, Beijing, China
| | - Xiuling Liu
- Key Laboratory of Digital Medical Engineering of Hebei, Hebei University, Baoding, China
- College of Electronic and Information Engineering, Hebei University, Baoding, China
- *Correspondence: Xiuling Liu
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