New AAV tools fail to detect Neurod1-mediated neuronal conversion of Müller glia and astrocytes in vivo.
New AAV tools fail to detect Neurod1-mediated neuronal conversion of Müller glia and astrocytes in vivo.
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DOI:
10.1016/j.ebiom.2023.104531
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发表时间:
2023-04
期刊:
影响因子:
11.1
通讯作者:
Chen B
中科院分区:
文献类型:
--
作者:
Xie Y;Zhou J;Wang LL;Zhang CL;Chen B
Reprogramming resident glial cells to convert them into neurons in vivo represents a potential therapeutic strategy that could replenish lost neurons, repair damaged neural circuits, and restore function. AAV (adeno-associated virus)-based expression systems are powerful tools for in vivo gene delivery in glia-to-neuron reprogramming, however, recent studies show that AAV-based gene delivery of Neurod1 into the mouse brain can cause severe leaky expression into endogenous neurons leading to misinterpretation of glia-to-neuron conversion. AAV-based delivery systems were modified for improved in vivo delivery of Neurod1, Math5, Ascl1, and Neurog2 in the adult mouse retina and brain. To examine whether bona fide glia-to-neuron conversion occurs, stringent fate mapping experiments were performed to trace the lineage of glial cells. The neuronal leakage is prevalent after AAV-GFAP-mediated delivery of Neurod1, Math5, Ascl1, and Neurog2. The transgene-dependent leakage cannot be corrected after lowering the AAV doses, using alterative AAV serotypes or injection routes. Importantly, we report the development of two new AAV-based tools that can significantly reduce neuronal leakage. Using the new AAV-based tools, we provide evidence that Neurod1 gene transfer fails to convert lineage traced glial cells into neurons. Stringent fate mapping techniques independently of an AAV-based expression system are the golden standard for tracing the fate of glia cells during neuronal reprogramming. The newly developed AAV-based systems are invaluable tools for glia-to-neuron reprogramming in vivo. The work in Chen lab was supported by (NIH) grants R01 EY024986 and R01 EY028921, an unrestricted challenge grant from , the , and . The work in Zhang lab was supported by (R01 NS127375 and R01 NS117065) and .
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