1. Comparing Viral Vectors and Fate Mapping Approaches for Astrocyte-to-Neuron Reprogramming in the Injured Mouse Cerebral Cortex.
- Author
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Puglisi M, Lao CL, Wani G, Masserdotti G, Bocchi R, and Götz M
- Subjects
- Animals, Mice, Nerve Tissue Proteins metabolism, Nerve Tissue Proteins genetics, Basic Helix-Loop-Helix Transcription Factors metabolism, Basic Helix-Loop-Helix Transcription Factors genetics, Mice, Inbred C57BL, Male, Retroviridae genetics, Astrocytes metabolism, Neurons metabolism, Genetic Vectors genetics, Genetic Vectors metabolism, Cerebral Cortex metabolism, Cerebral Cortex pathology, Dependovirus genetics, Cellular Reprogramming genetics
- Abstract
Direct neuronal reprogramming is a promising approach to replace neurons lost due to disease via the conversion of endogenous glia reacting to brain injury into neurons. However, it is essential to demonstrate that the newly generated neurons originate from glial cells and/or show that they are not pre-existing endogenous neurons. Here, we use controls for both requirements while comparing two viral vector systems (Mo-MLVs and AAVs) for the expression of the same neurogenic factor, the phosphorylation-resistant form of Neurogenin2. Our results show that Mo-MLVs targeting proliferating glial cells after traumatic brain injury reliably convert astrocytes into neurons, as assessed by genetic fate mapping of astrocytes. Conversely, expressing the same neurogenic factor in a flexed AAV system results in artefactual labelling of endogenous neurons fatemapped by birthdating in development that are negative for the genetic fate mapping marker induced in astrocytes. These results are further corroborated by chronic live in vivo imaging. Taken together, the phosphorylation-resistant form of Neurogenin2 is more efficient in reprogramming reactive glia into neurons than its wildtype counterpart in vivo using retroviral vectors (Mo-MLVs) targeting proliferating glia. Conversely, AAV-mediated expression generates artefacts and is not sufficient to achieve fate conversion.
- Published
- 2024
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