Deep scRNA sequencing reveals a broadly applicable Regeneration Classifier and implicates antioxidant response in corticospinal axon regeneration Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1016/j.neuron.2023.09.019
Despite substantial progress in understanding the biology of axon regeneration in the CNS, our ability to promote regeneration of the clinically important corticospinal tract (CST) after spinal cord injury remains limited. To understand regenerative heterogeneity, we conducted patch-based single-cell RNA sequencing on rare regenerating CST neurons at high depth following PTEN and SOCS3 deletion. Supervised classification with Garnett gave rise to a Regeneration Classifier, which can be broadly applied to predict the regenerative potential of diverse neuronal types across developmental stages or after injury. Network analyses highlighted the importance of antioxidant response and mitochondrial biogenesis. Conditional gene deletion validated a role for NFE2L2 (or NRF2), a master regulator of antioxidant response, in CST regeneration. Our data demonstrate a universal transcriptomic signature underlying the regenerative potential of vastly different neuronal populations and illustrate that deep sequencing of only hundreds of phenotypically identified neurons has the power to advance regenerative biology.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.neuron.2023.09.019
- OA Status
- hybrid
- Cited By
- 19
- References
- 103
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387675475
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387675475Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.neuron.2023.09.019Digital Object Identifier
- Title
-
Deep scRNA sequencing reveals a broadly applicable Regeneration Classifier and implicates antioxidant response in corticospinal axon regenerationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-16Full publication date if available
- Authors
-
Jae Mun Kim, Junmi M. Saikia, Katlyn Marie A. Monte, Eunmi Ha, Daniel Romaus‐Sanjurjo, Joshua J. Sanchez, Andrea X. Moore, Marc Hernaiz-Llorens, Carmine L. Chavez‐Martinez, Chimuanya K. Agba, Haoyue Li, Joseph Zhang, Daniel T. Lusk, Kayla M. Cervantes, Binhai ZhengList of authors in order
- Landing page
-
https://doi.org/10.1016/j.neuron.2023.09.019Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.neuron.2023.09.019Direct OA link when available
- Concepts
-
Regeneration (biology), Axon, Neuroscience, Biology, Functional connectivity, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 9, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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103Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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