Abstract
Highlighted Research Paper: Tracking Mitochondrial Density and Positioning along a Growing Neuronal Process in Individual C. elegans Neuron Using a Long-Term Growth and Imaging Microfluidic Device by Sudip Mondal, Jyoti Dubey, Anjali Awasthi, Guruprasad Reddy Sure, Amruta Vasudevan, and Sandhya P. Koushika.
To properly form repeated action potentials and achieve synaptic transmission, neurons must maintain electrochemical gradients of sodium, potassium, and calcium ions. This requires both ATP-facilitated pumping of ions across the plasma membrane and buffering of free cytosolic calcium, both of which are key functions of neuronal mitochondria. Neuronal mitostasis—how nerve cells maintain the distribution of mitochondria along their extensive processes—remains a mysterious yet vital element of neural function (Misgeld and Schwarz, 2017). Mitochondria must be produced and trafficked to where they are needed, as well as repaired, degraded, or recycled when damaged. Turnover is a relatively slow process, and so uncovering the regulatory processes that oversee mitostasis requires repeatedly imaging the exact same neuron for prolonged periods (>12 h).
Studies of neuronal mitostasis in vivo are technically demanding in mammalian systems where tissues are opaque and anesthetics are generally required to monitor temporal dynamics (Plucińska and Misgeld, 2016). Conversely, the transparent invertebrate Caenorhabditis elegans provides an ideal system for noninvasive, anesthetic-free imaging of mitochondria in situ. Its highly stereotyped nervous system allows for imaging the exact same neuron through development from hatching to adulthood with minimal morphologic variation among individual animals. C. elegans have six touch receptor neurons (TRNs; Fig. 1A), that sit just below the thin cuticle or skin of the animal with their long axons extending along the anterior–posterior axis of the worm. At ∼200 nm in diameter, these axons are narrow enough that mitochondria generally move in single file. These features make the TRNs ideal for high-resolution, dynamic, and noninvasive imaging of single neurons. Mondal et al. (2021) shed light on the temporal dynamics of mitostasis using a novel microfluidic chip, inspired by an early platform for immobilizing animals under a pneumatically actuated membrane (Guo et al., 2008), and imaging of single posterior lateral microtubule (PLM) neurons through development (Mondal et al., 2021).
C. elegans develops rapidly compared with other animals, reaching adulthood in 3 d, and the PLM axon elongates at a rate of ∼10 μm/h, as measured by Mondal et al. (2021). Consistent with reports on cell culture and explants (Miller and Sheetz, 2004; Lamoureux et al., 2010; Matsumoto et al., 2020), Mondal et al. (2021) observed that new mitochondria were added to the developing neuron between pairs of stationary mitochondria. These new additions occur at a rate of ∼0.6 mitochondria/h, further highlighting the need for prolonged imaging sessions to observe a sufficient number of events. As expected from earlier studies, the number of mitochondria added through development was proportional to neurite extension, resulting in a uniform distribution that was maintained at nearly all developmental time points. The sole exception was a small, but statistically significant, decrease in mitochondrial density that was observed at the final larval stage. From these experiments, Mondal et al. (2021) ascertained that the distance between adjacent mitochondria needed to reach 24 μm during neurite elongation before a new one is added.
Mitochondria are sensitive to cellular stresses such as those induced by anesthetics, but precisely how anesthesia impacts mitostasis remains unclear (Lewis et al., 2016; Mondal et al., 2021). Mondal et al. (2021) leveraged their microfluidic chip to directly compare mitochondrial turnover in anesthetized C. Elegans with that in an immobilized device. Upon imaging the PLM neuron for 20 min in each case, they found that the ratio of moving mitochondria increased approximately twofold in anesthetized animals compared with those immobilized in the device without anesthetics. This differs from previous reports of mitochondrial motility in layer 2/3 pyramidal axons that showed no difference in the percentage of stationary mitochondria between awake and anesthetized mice (Lewis et al., 2016). These discrepancies might be explained by the variations in types of anesthetics used and neurons observed in the respective studies. Mondal et al. (2021) further asked whether anesthesia would affect how motile mitochondria interact with stationary mitochondria that had been photobleached. In all cases, they found that anesthetized animals had more crosses, pauses, and fission events for both anterograde and retrograde moving mitochondria than those that were only device immobilized. Collectively, these findings highlight the utility of studying neuronal mitostasis and mitochondrial motility in experimental systems that allow for anesthetic-free studies.
To demonstrate the utility of the device for other types of subcellular studies, Mondal et al. (2021) measured changes in PLM synapse size through development using the RAB-3 synaptic vesicle marker. As expected, synapse size increased with developmental stage both in animals grown in the device and those grown on traditional agar. However, in the final larval stage there was a statistically significant increase in synapse size in animals that developed in the device compared with animals grown on agar. As the authors point out, this difference in size may be because of the animals being under pressure, since the TRNs are mechanosensitive, but it may also be explained by the fact that animals grown in liquid cultures are longer than agar-grown counterparts. Given that TRNs are insensitive to slowly applied stimuli and static stimuli (Eastwood et al., 2015; Nekimken et al., 2017), additional experiments directly assessing TRN activation under trap conditions are needed to fully resolve this uncertainty. Regardless of either scientific outcome, the device and imaging methods provide a clear entry point for future work studying mitostasis and activity-dependent synapse formation.
Overall, Mondal et al. (2021) present an elegant and simple approach to high-resolution, multiday imaging of the same neuron in single animals that can be adopted by others and extended to studies of phenomena beyond mitostasis. Their results affirm the hypothesis that the uniform distribution of mitochondria is maintained through development via the addition of new mitochondria between docked pairs when a minimum distance is exceeded. Furthermore, this work contributes new information to our limited knowledge of how anesthesia impacts mitochondrial turnover. The current approach is limited in throughput because of the supervision required to identify newly docked mitochondria, but this is a minor barrier that can be overcome as additional baseline data are acquired and automated analysis pipelines are developed. In either case, Mondal et al. (2021) demonstrate that this imaging approach, combined with the convenient size, transparent body, and genetic tractability of the worm, is well suited to directly address key questions of mitostasis such as identifying the signaling events that guide mitochondrial docking. Measuring the temporal dynamics of events like docking as well as mitophagy are critical steps toward understanding the interplay between mitochondrial dysregulation and neurodegenerative diseases (Misgeld and Schwarz, 2017).
Acknowledgments
I thank Drs. Alakanada Das and Miriam Goodman for editorial feedback, and the WormsenseLab members for insightful discussions.
Synthesis
Reviewing Editor: Christophe Bernard, INSERM & Institut de Neurosciences des Systèmes
References
- Eastwood AL, Sanzeni A, Petzold BC, Park S-J, Vergassola M, Pruitt BL, Goodman MB (2015) Tissue mechanics govern the rapidly adapting and symmetrical response to touch. Proc Natl Acad Sci U S A 112:E6955–E6963. 10.1073/pnas.1514138112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo SX, Bourgeois F, Chokshi T, Durr NJ, Hilliard MA, Chronis N, Ben-Yakar A (2008) Femtosecond laser nanoaxotomy lab-on-a-chip for in vivo nerve regeneration studies. Nat Methods 5:531–533. 10.1038/nmeth.1203 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lamoureux P, Heidemann SR, Martzke NR, Miller KE (2010) Growth and elongation within and along the axon. Dev Neurobiol 10.1002/dneu.20764 [DOI] [PubMed] [Google Scholar]
- Lewis TL Jr, Turi GF, Kwon S-K, Losonczy A, Polleux F (2016) Progressive decrease of mitochondrial motility during maturation of cortical axons in vitro and in vivo. Curr Biol 26:2602–2608. 10.1016/j.cub.2016.07.064 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Matsumoto N, Hori I, Murase T, Tsuji T, Miyake S, Inatani M, Konishi Y (2020) Intermitochondrial signaling regulates the uniform distribution of stationary mitochondria in axons. bioRxiv. Advance online publication. Retrieved August 19, 2021. doi: 10.1101/2020.07.31.230250. [DOI] [PubMed] [Google Scholar]
- Miller KE, Sheetz MP (2004) Axonal mitochondrial transport and potential are correlated. J Cell Sci 117:2791–2804. 10.1242/jcs.01130 [DOI] [PubMed] [Google Scholar]
- Misgeld T, Schwarz TL (2017) Mitostasis in neurons: maintaining mitochondria in an extended cellular architecture. Neuron 10.1016/j.neuron.2017.09.055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mondal S, Dubey J, Awasthi A, Sure GR, Vasudevan A, Koushika SP (2021) Tracking mitochondrial density and positioning along a growing neuronal process in individual neuron using a long-term growth and imaging microfluidic device. eNeuro 8:ENEURO.0360-20.2021. 10.1523/ENEURO.0360-20.2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nekimken AL, Fehlauer H, Kim AA, Manosalvas-Kjono SN, Ladpli P, Memon F, Gopisetty D, Sanchez V, Goodman MB, Pruitt BL, Krieg M (2017) Pneumatic stimulation of C. elegans mechanoreceptor neurons in a microfluidic trap. Lab Chip 17:1116–1127. 10.1039/c6lc01165a [DOI] [PMC free article] [PubMed] [Google Scholar]
- Plucińska G, Misgeld T (2016) Imaging of neuronal mitochondria in situ. Curr Opin Neurobiol 39:152–163. 10.1016/j.conb.2016.06.006 [DOI] [PubMed] [Google Scholar]