Dear Editor,
In the adult brain, the transition from neural stem cell (NSC) quiescence to activation is a focal regulatory point for neural regeneration and dysregulations in the transition lead to brain disorders.1,2 During this transition, both cell cycle states and metabolism including mitochondria undergo extensive reprogramming. A deep understanding of such comprehensive changes is a prerequisite for a holistic picture of physiology and may aid disease combats. However, mechanisms coordinating their spatiotemporal regulations remains a least understood subject. A key challenge is to establish suitable experimental systems and hunt for master controllers coordinating cell cycle and metabolic reprogramming during the transition.
c-Myc, a multifunctional transcription factor with thousands of targets, plays a central role in cell cycle and metabolic coordination in cancer cells.3 c-Myc-mediated metabolic switching is also critical for stem cell fate decisions.4 RNA in situ data from Allen Brain Atlas suggest that c-Myc transcripts are expressed in the adult hippocampus, where adult neurogenesis actively takes place (Supplementary Fig. S1a and b). Further morphological and immunostaining analyses revealed that c-Myc was expressed in the stem cell and progenitor compartments (Fig. 1a and Supplementary Fig. S1d). Closer examination revealed that quiescent NSCs (qNSCs), positive for GFAP (cytoplasmic) and SOX2 but not for Ki67 (nuclear), were predominantly c-MycLow cells (71% ± 5%). Only a small subset was c-Mychigh cells (28% ± 1%) (Fig. 1b), presumably representing the subpopulation of quiescent NSCs primed for activation. In contrast, the majority of activated NSCs (aNSCs) and proliferative progenitors, positive for Sox2/Ki67 but not for GFAP, were c-Mychigh cells (67% ± 1%), and a smaller subset were c-MycLow cells (32% ± 1%; n = 3) (Fig. 1b). In support of the above, analysis of published scRNA-seq data confirmed a high expression of c-Myc in aNSCs but not in qNSCs (Supplementary Fig. S1c).
To facilitate mechanistic investigation, we switched to an in vitro HCN (hippocampal NSC) culture system5 that could mimic the in vivo reversible NSC quiescence and activation transition (Supplementary Fig. S2). In vitro the expression of c-Myc was highly dynamic during the transition, much higher in aNSCs than in qNSCs (Fig. 1c and Supplementary Fig. S1e). Half an hour after quiescence induction, c-Myc transcripts already decreased by 2-fold and at 1.5–6 hours, by 3- to 10-fold (Fig. 1d and Supplementary Fig. S1f). A similar but less dramatic decrease was observed with c-Myc proteins (Fig. 1e).
Meanwhile, transcriptome analysis revealed that 1024 genes were upregulated and 1818 genes were downregulated in aNSCs compared with qNSCs (Supplementary Fig. S3a, b). Further transcription factor binding motif enrichment analysis of promoters of the upregulated genes identified a list of candidates (Fig. 1f). Among them, c-Myc was not only the most highly expressed but also the most dynamically expressed during NSC quiescence and activation transition (Fig. 1g and Supplementary Fig. S3c, d). Of the 1024/1818 genes differentially expressed, over 93% (956/1692) were found to have confirmed c-Myc binding in the ENCODE database (Supplementary Fig. S3e). Among them the cell cycle and mitochondrial pathway genes were highly enriched (Fig. 1h and Supplementary Fig. S3f–h). We randomly took 6, Hsp90ab1, Hspd1, Tmem11 from the upregulated group and Cyp1b1, Hint2, Rdh14 from the downregulated one and all had a modestly stronger binding of c-Myc to their promoters in expected NSC states (Supplementary Fig. S3i, j). Taken together, these results suggest that c-Myc may modulate NSC quiescence and activation through coordinating the cell cycle status and mitochondrial activity.
To confirm that, we took advantage of the in vitro culture model system to overexpress and knockdown c-Myc and performed transcriptome analysis (Supplementary Fig. S4a, b). Again, the cell cycle and mitochondrial pathway genes were among the most significantly altered by c-Myc (Supplementary Fig. S4c, d and Fig. 1i). Consistent with the molecular changes, examination via transmission electron microscopy (TEM) revealed that mitochondrial cristae were thick and well organized in aNSCs but were sparse, fragmented and disorganized in qNSCs (Fig. 1j, k and Supplementary Fig. S5a). Compared with those in aNSCs, mitochondria in qNSCs were swollen and immature, and as a result, their activity was also compromised (Supplementary Fig. S5b). Approximately 35% of mitochondria in qNSCs but only less than 10% in aNSCs were inactive (Supplementary Fig. S5b). ATP production in qNSCs was also significantly reduced (Supplementary Fig. S5c). Consistent with the molecular changes seen above, c-Myc overexpression in qNSCs reverted the mitochondrial morphological changes and the disappearance of cristae that typically occurs upon quiescence induction (Fig. 1l, m). In contrast, c-Myc knockdown in aNSCs shifted mitochondria towards a more quiescence-like state (Fig. 1l, m and Supplementary Fig. S5d). Consequentially c-Myc overexpression increased but shRNA knockdown decreased ATP production (Supplementary Fig. S5e).
In line with shifts in mitochondrial remodeling, c-Myc overexpression enhanced proliferation and reduced the percentage of cells in the G0 phase under the quiescent condition but not under the activated one (Fig. 1n, o and Supplementary Fig. S6a, b). In contrast, c-Myc knockdown caused cell cycle arrest and increased the percentage of cells in the G0 phase under the activated condition but not under the quiescent one (Fig. 1n, o and Supplementary Fig. S6a, b). Importantly, both PGC-1α, a regulator of mitochondrial biogenesis and NaN3, an inhibitor of mitochondrial activity, effectively abolished c-Myc-mediated NSC activation (Fig. 1p, q and Supplementary Fig. S6c–e), suggesting that c-Myc regulates quiescence and activation transition at least partially through controlling mitochondrial remodeling.
We then performed in vivo stereotaxic injection of Vector-, c-Myc OV- and KD-GFP lentiviruses into adult hippocampi. After confirming successful c-Myc overexpression and/or knockdown in vivo by co-staining c-Myc with GFP (Supplementary Fig. S6f), we found that c-Myc OV drastically increased proliferation and c-Myc KD had the opposite effect (Fig. 1r). The percentage of Ki67+ cells among GFP+ ones was much higher in the c-Myc OV group (58% ± 10%; n = 3) and lower in the c-Myc KD group (3% ± 2%; n = 3) than in the control group (18% ± 3%; n = 3) (Fig. 1s). Their morphologies were drastically different too (Supplementary Fig. S6g). Essentially all c-Myc OV-GFP cells have lost RGL morphology and adopted aNSC/early progenitor morphology while the Vector-GFP ones manifested both. The c-Myc KD-GFP cells mainly kept RGL morphology (Supplementary Fig. S6g, h). This is indeed expected and shows that 3-day c-Myc overexpression was enough to activate the infected qNSCs which could not stay quiescent with high expression of c-Myc and 3-day c-Myc knockdown was sufficient to arrest the infected cells which rarely become activated without c-Myc upregulation.
In summary, the present study reveals a central role of c-Myc in NSC quiescence and activation homeostasis through coordinating metabolic reprogramming (e.g., mitochondrial remodeling) with the cell cycle status. Our work also exemplifies how to utilize in vitro modeling to obtain an integrated understanding of how quiescence and activation are coordinated through master cell cycle and metabolism controllers such as c-Myc. It is now of high interest to utilize the in vitro culture model system to delineate in a stage-wise manner and on a genome-wide scale how different master controllers (e.g., c-Myc, REST, E2F1, and Ascl1) antagonize and coordinate to balance NSC quiescence and activation in time and space. A systematic understanding of the transition and its dynamics shall help reveal novel strategies for neural regeneration therapies.
Supplementary information
Acknowledgements
This work was supported by funds from the National Key R&D Program of China (2019YFA0110300, 2017YFA0104100) and Shanghai Easter Scholar (8101219003) to Z.L.G., the National Natural Science Foundation of China (31600819 to C.H.C., 81773302 to Y.T.F., 31571058 and 32070862 to Z.L.G., 31701282 to M.J., and 81901031 to X.X.H.), Shanghai Municipal Planning Commission of science and Research Fund (20174Y0216) to C.C.H. and the Natural Science Foundation of Shanghai (19ZR1445400) to X.X.H.
Data availability
The datasets used and/or analyzed to support the findings of this study are available in this paper or the Supplementary information. Any other raw data that support the findings of this study are available from the corresponding author upon reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
These authors contributed equally: Chunhui Cai, Xinyu Hu, Peibin Dai
Contributor Information
Xin-Xin Han, Email: xxhan@fudan.edu.cn.
Zhengliang Gao, Email: zhengliang_gao@tongji.edu.cn.
Supplementary information
The online version contains supplementary material available at 10.1038/s41392-021-00664-7.
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Supplementary Materials
Data Availability Statement
The datasets used and/or analyzed to support the findings of this study are available in this paper or the Supplementary information. Any other raw data that support the findings of this study are available from the corresponding author upon reasonable request.