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Single-Cell Profiles of Retinal Ganglion Cells Differing in Resilience to Injury Reveal Neuroprotective Genes.

Authors :
Tran, Nicholas M
Tran, Nicholas M
Shekhar, Karthik
Whitney, Irene E
Jacobi, Anne
Benhar, Inbal
Hong, Guosong
Yan, Wenjun
Adiconis, Xian
Arnold, McKinzie E
Lee, Jung Min
Levin, Joshua Z
Lin, Dingchang
Wang, Chen
Lieber, Charles M
Regev, Aviv
He, Zhigang
Sanes, Joshua R
Tran, Nicholas M
Tran, Nicholas M
Shekhar, Karthik
Whitney, Irene E
Jacobi, Anne
Benhar, Inbal
Hong, Guosong
Yan, Wenjun
Adiconis, Xian
Arnold, McKinzie E
Lee, Jung Min
Levin, Joshua Z
Lin, Dingchang
Wang, Chen
Lieber, Charles M
Regev, Aviv
He, Zhigang
Sanes, Joshua R
Source :
Neuron; vol 104, iss 6, 1039-1055.e12; 0896-6273
Publication Year :
2019

Abstract

Neuronal types in the central nervous system differ dramatically in their resilience to injury or other insults. Here we studied the selective resilience of mouse retinal ganglion cells (RGCs) following optic nerve crush (ONC), which severs their axons and leads to death of ∼80% of RGCs within 2 weeks. To identify expression programs associated with differential resilience, we first used single-cell RNA-seq (scRNA-seq) to generate a comprehensive molecular atlas of 46 RGC types in adult retina. We then tracked their survival after ONC; characterized transcriptomic, physiological, and morphological changes that preceded degeneration; and identified genes selectively expressed by each type. Finally, using loss- and gain-of-function assays in vivo, we showed that manipulating some of these genes improved neuronal survival and axon regeneration following ONC. This study provides a systematic framework for parsing type-specific responses to injury and demonstrates that differential gene expression can be used to reveal molecular targets for intervention.

Details

Database :
OAIster
Journal :
Neuron; vol 104, iss 6, 1039-1055.e12; 0896-6273
Notes :
application/pdf, Neuron vol 104, iss 6, 1039-1055.e12 0896-6273
Publication Type :
Electronic Resource
Accession number :
edsoai.on1377982060
Document Type :
Electronic Resource