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Golgi-dependent reactivation and regeneration of Drosophila quiescent neural stem cells.
- Source :
-
Developmental Cell . Oct2023, Vol. 58 Issue 19, p1933-1933. 1p. - Publication Year :
- 2023
-
Abstract
- The ability of stem cells to switch between quiescent and proliferative states is crucial for maintaining tissue homeostasis and regeneration. In Drosophila , quiescent neural stem cells (qNSCs) extend a primary protrusion, a hallmark of qNSCs. Here, we have found that qNSC protrusions can be regenerated upon injury. This regeneration process relies on the Golgi apparatus that acts as the major acentrosomal microtubule-organizing center in qNSCs. A Golgi-resident GTPase Arf1 and its guanine nucleotide exchange factor Sec71 promote NSC reactivation and regeneration via the regulation of microtubule growth. Arf1 physically associates with its new effector mini spindles (Msps)/XMAP215, a microtubule polymerase. Finally, Arf1 functions upstream of Msps to target the cell adhesion molecule E-cadherin to NSC-neuropil contact sites during NSC reactivation. Our findings have established Drosophila qNSCs as a regeneration model and identified Arf1/Sec71-Msps pathway in the regulation of microtubule growth and NSC reactivation. [Display omitted] • Protrusions of Drosophila quiescent neural stem cells regenerate upon injury • Golgi functions as a microtubule-organizing center in quiescent neural stem cells • Arf1 and its GEF Sec71 promote neural stem cell reactivation and regeneration • Arf1 physically associates with its new effector mini spindles (Msps)/XMAP215 Gujar et al., establish Drosophila quiescent neural stem cell protrusions as a regeneration model. A Golgi-resident GTPase Arf1 promotes neural stem cell reactivation and regeneration via its new effector Msps/XMAP215. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15345807
- Volume :
- 58
- Issue :
- 19
- Database :
- Academic Search Index
- Journal :
- Developmental Cell
- Publication Type :
- Academic Journal
- Accession number :
- 172778286
- Full Text :
- https://doi.org/10.1016/j.devcel.2023.07.010