The investigation of membrane trafficking is crucial for understanding neuronal functions. Here, we introduce a method for quantifying vesicle motility in neurons. This is a convenient method that can be adapted to the quantification of membrane trafficking in the nervous system.
In the brain, membrane trafficking systems play important roles in regulating neuronal functions, such as neuronal morphology, synaptic plasticity, survival, and glial communications. To date, numerous studies have reported that defects in these systems cause various neuronal diseases. Thus, understanding the mechanisms underlying vesicle dynamics may provide influential clues that could aid in the treatment of several neuronal disorders. Here, we describe a method for quantifying vesicle motilities, such as motility distance and rate of movement, using a software plug-in for the ImageJ platform. To obtain images for quantification, we labeled neuronal endosome-lysosome structures with EGFP-tagged vesicle marker proteins and observed the movement of vesicles using a time-lapse microscopy. This method is highly useful and simplify measuring vesicle motility in neurites, such as axons and dendrites, as well as in the soma of both neurons and glial cells. Furthermore, this method can be applied to other cell lines, such as fibroblasts and endothelial cells. This approach could provide a valuable advancement of our understanding of membrane trafficking.
Precise control of endosome-lysosome trafficking is indispensable for regulating neuronal function. Notably, the dynamic movements of these vesicles are a key factor underlying the regulation of neuronal morphology, development, and survival. Defects in this system cause severe neuronal disorders1,2. The molecular mechanisms that link vesicle trafficking to neuronal diseases are considered complicated, and several groups have sought to examine this relevance. For instance, it has been reported that perturbed late endosome motility is significantly associated with Niemann-Pick C disease3, an inherited neurodegenerative disorder caused by lysosome defects. Another example is a mutation in a lysosomal Ca2+ channel, trpml1, which impairs lysosomal motility, resulting in lysosomal storage diseases4,5,6. Our group has reported that dysregulation of PtdIns(3,5)P2 turnover suppresses endosome and lysosome motility in neurons, leading to an increase in vulnerability to the stress response7,8. The metabolic regulation of PtdIns(3,5)P2, which mostly localizes on late endosomes and lysosomes, plays an important role in a wide variety of cellular functions, including vesicle trafficking and fusion-fission processes9,10. Since impaired PtdIns(3,5)P2 turnover causes severe neurodegeneration11,12, the aberrant regulation of endosome-lysosome motility could be a key factor for understanding the pathogenesis of neurodegeneration. An investigation of the molecular mechanisms that underlie vesicle motility may thus provide promising clues that can deepen our understanding of several neuronal disorders.
In this paper, we introduce a valuable method to quantify vesicle motility in neurons using a free software package called Manual Tracking. The aim was to develop a fast quantification method to analyze vesicle motility. This quantification is directed through a standard approach of clicking on a reference point in each frame of a time-lapse movie. The use of the Manual Tracking software makes this approach quite simple and of broad utility, unlike other applications. Furthermore, this approach is also applicable to other cells, such as glial cells. Although this method is primitive, it can be applied to various analyses, including of cellular motility and morphological change. For instance, after defining a reference point across a sequence of images, information on the positions of the reference points and the time at each position can be extracted from sequential images using data analysis and image-processing software. Taken together, this method is simple but powerful and contributes to the development of improved efficiency in studies based on membrane trafficking, such as those examining endosome-lysosome function.
All animal procedures were performed with the approval of the University of Tsukuba Animal Care and Use Committee (IACUC).
1. Dissection
2. Imaging Vesicle Motility
3. Image Analysis
This assay was designed to measure vesicle dynamics in in vitro culture. This assay was utilized to determine the vesicle motility associated with neuronal morphology and survival. Figure 1A and B display representative data showing lysosome motility in neurons. Cortical neurons were transfected with the lysosome marker, LAMP-EGFP, and observed using a standard fluorescence microscope. It has been previously reported that specific endosome-lysosome vesicles are highly mobile, even in resting neurons8. Indeed, these results demonstrate both resting and moving vesicles in the same dendrite (Figure 1A and B). Normally, resting vesicles exhibit vibratory movement, like Brownian motion, in neuronal dendrites. In contrast, moving vesicles exhibit irregular motility. We speculate that each vesicle has a different compositional feature that underlies the determination of function, even in lysosome vesicles8. Thus, the classification of vesicles using this approach may provide useful information. Using this system, it is easy to quantify the average motility of these vesicles (Figure 1C) and to analyze the vesicle properties using this system in a time-effective manner.
Figure 1: Lysosome Motility in Neuronal Dendrites. (A) Mouse cortical neurons (4 DIV) were transfected with LAMP-EGFP plasmid for 2 days. This image shows the motility of LAMP-EGFP-containing vesicles in the dendrites. The inset shows the time-lapse image of the LAMP-EGFP-positive vesicles. The red arrowhead indicates a moving vesicle, and the blue arrowhead indicates a resting vesicle. The orange arrowheads indicate larger fluorescent signals, as referred to above. Scale bar = 20 µm. (B) The time-dependent x-axis position of the LAMP-EGFP-positive vesicles from Figure A. The vesicle in the red circle labeled (b) is moving, and the vesicle in the blue circle labeled (a) is resting. Scale bar: 5 µm (left). The bar graph indicates the total distance of LAMP-EGFP movement (right). (C) The bar graph indicates the average motility distance of LAMP-EGFP-containing vesicles. (n = 5, mean ±standard error of the mean [SEM], **p <0.01 by Student's t-test). Please click here to view a larger version of this figure.
This protocol introduces the procedure for quantifying vesicle motility. In primary neurons, endosomes and lysosomes tend to show high motility in younger neurons (4-6 DIV). Given that neurons must deliver some components to the leading edges to elongate neural processes, membrane trafficking should occur dynamically during this stage. Thus, it is important to use younger neurons to observe dynamic motility in neuronal dendrites. In addition, larger vesicles do not tend to exhibit high motility, even in younger neurons. The regulation of vesicle size is likely involved in the frequency of fusion-fission steps. It may be possible that specific vesicles that do not move dynamically easily accept other vesicles easily and terminate their movements. Thus, selecting vesicles is an important process for this analysis.
Several free plug-in software packages are available for tracking objects21. For instance, the TrackMate package can track objects22 and can be modified by numerical software, providing a range of mathematical information. On the other hand, it is slightly complicated to use for the relatively simple image analysis in this protocol. Mtrack2 is another plug-in and is based on the MultiTracker plug-in23. Mtrack2 is also useful because it can identify targets and then determine which targets in following frames are the closest. This approach is useful for quantifying enormous volumes of data; however, manual tracking may be more reliable for smaller volumes of image data. Therefore, we recommend Manual Tracking for quantifying smaller sets of data and acknowledge that it may be better to use other software to monitor larger volumes.
Several precautions should be taken in this approach. First, the sampling rate should be high in order to obtain strict data. This is because some vesicles exhibit rapid movement and abrupt changes, such as fusion-fission, and appearance-disappearance events are occasionally observed, indicating that frequent imaging is crucial to avoid miss the sign of any changes. Another point is that the use of high-end microscopes, such as scanning-disk confocal microscopes and total internal reflection fluorescence microscopes, may be key to obtaining high-resolution, interesting data. It is recommended to take images at shorter intervals using a high-end microscope, although here, images were taken every 5 s due to equipment limitations.
Substantial studies have suggested a biological link between membrane trafficking and neuronal disorders2. For example, it has been demonstrated that lysosomal defects are involved in severe neuronal disorders, such as Niemann-Pick disease and Gaucher disease24. Intriguingly, several studies have reported that lysosomal movement and localization are involved in the onset of lysosomal storage disorder6. It is possible that vesicle motility can be used as a biomarker for these disorders. One interesting approach may arise from the availability of human induced Pluripotent Stem Cells (iPSCs). Investigating vesicle motility using iPSCs-derived neurons may reveal a biomarker for lysosomal storage disorders. This approach provides some clues to the processes that underlie the risk of disease.
Since this assay is simple, it is easy to obtain motility data. Also, it is applicable to the analysis of other cellular events, including migration and morphological changes. It is important to note that this approach has several limitations due to its simplicity. As such, it is necessary to employ other approaches, including electrophysiology, biochemistry, and electron microscope analysis, to understand the precise physiological relevance of neuronal trafficking. Nevertheless, this approach is a valuable method that is suitable for researchers who want to analyze trafficking in a straightforward and time-effective manner.
The authors have nothing to disclose.
We thank Dr. Ricardo Dolmetsch (Stanford University School of Medicine; present affiliation: Novartis Institutes for Biomedical Research) for helping to develop this analysis and Dr. Matthew Wood, Takuma Aihara, and Dongsook Kim for their critical reading of the manuscript.
Neurobasal medium | Thermo Fisher | 21103-049 | |
Dulbecco's modified eagle medium | Wako | 044-29765 | |
Opti-MEM | Thermo Fisher | 31985070 | Serum free medium |
Hank's balanced salt solution | Thermo Fisher | 14170112 | |
Penicilin Streptmycin | Thermo Fisher | 15140122 | |
L-Glutamine | Thermo Fisher | 25030081 | |
B-27 Supplements | Thermo Fisher | 17504044 | |
2.5% Trypsine | Thermo Fisher | 15090046 | |
poly-D-lysine hydrobromide | Sigma | P7280 | |
poly-L-ornithine | Sigma | P4957 | |
Nylon cell strainer | Corning | 431750 | |
Lipofectamine 2000 | Thermo Fisher | 11668027 | Transfection reagent |
Polyethyleneimine "Max" | polysciences | 24765 | Transfection reagent. As an alternative to Lipofectamine2000, 0.1mg/ml Polyethyleneimine dissolved in sterilized water is available. But it is low efficiency and high toxicity. |
BIOREVO BZ-9000 | Keyence | NA | |
Incubation system INUG2-K13 | Tokay Hit | NA | |
GraphPad Prism version 6.0 | GraphPad Software | NA | |
Excel version 15 | Microsoft | NA | |
ImageJ verion 1.47 | NA | NA |