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INNOVATIVE METHODOLOGY
1Department of Biology, University of Oregon, Eugene, Oregon; 2Department of Mechanical Engineering and 3Department of Molecular and Cellular Physiology, Stanford University, Stanford, California; and 4Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan
Submitted 9 December 2007; accepted in final form 11 January 2008
| ABSTRACT |
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| INTRODUCTION |
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A promising new approach to constructing substrates for nematode research is soft lithography, a microfluidic fabrication technique in which a transparent elastomer is cast against a mold that contains a negative version of the desired features (Sia and Whitesides 2003
; Whitesides 2006
). Soft lithography fits hand and glove with C. elegans research in three significant respects. First, because the technique is based on high-resolution photolithography, one can easily build devices with arbitrarily shaped features (channels, chambers, ports, etc.) that match the size and shape of a microscopic worm. Second, the elastomer polydimethylsiloxane is both optically transparent and gas permeable, so the worm remains visible and viable. Third, fluid flow within microfluidic channels is laminar, a property that can be exploited to create local gradients and deliver fluid-borne stimuli with unusual precision.
Recently, several research groups have capitalized on the advantages of soft lithography to create devices that facilitate nematode research at a range of feature scales. At the microscopic scale, it has been used to build devices for worm restraint (Chronis et al. 2007
), optofluidic imaging (Heng et al. 2006
), automated sorting and screening (Rohde et al. 2007
), neuronal ablations (Hulme et al. 2007
), and localized chemical stimulation (Chalasani et al. 2007
). In devices at this scale, the worms are confined to close-fitting channels that, by design, prevent locomotion. At the macroscopic scale, soft lithography has been used to create long-term culture systems (Nahui et al. 2007
), structured agarose baths for swimming worms (Hwang et al. 2007
), and several types of two-dimensional mazes for behavioral choice experiments (Qin and Wheeler 2007
; Zhang et al. 2005
). Here we present a new class of microfluidic devices for C. elegans research: agarose-free, micron-scale chambers and channels that allow the animals to crawl as they would on agarose, yet are compatible with optical recording at high numerical aperture.
We present two such devices. The first, which we refer to as the artificial soil device, consists of a fluid-filled matrix of microscopic posts that mimic soil particles. The second, which we refer to as the waveform sampler device, contains a set of sinuous microfluidic channels with a variety of amplitudes and wavelengths. Here we show that worms crawl with ease through both devices and we present novel experimental manipulations that can be performed to investigate sensory and motor behaviors in C. elegans.
| METHODS |
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Nematodes (C. elegans, Bristol N2) were grown in mixed-staged cultures at 22.5°C on 1.7% agarose-filled plates containing nematode growth medium seeded with Escherichia coli strain OP50 (Brenner 1974
). All experiments were performed at room temperature (20–23°C) on adult worms. Neurons were labeled with chameleon for fluorescence imaging (Fig. 7), using an odr-2b::YC3.60 construct, that was prepared by standard procedures (Mello et al. 1991
).
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Chambers and channels were filled with buffered saline containing (in mM): 20 NaCl, 0.5 CaCl2, 0.5 MgSO4, 5 HEPES (pH 7.1), and glycerol to a final osmolarity of 175 mOsm. In the step-response assay (Fig. 4), the high NaCl solution contained (in mM): 100 NaCl, 1 CaCl2, 1 MgSO4, and 10 HEPES (pH 7.1). The low NaCl solution was the same except that it contained only 1 mM NaCl. Both solutions were balanced to a final osmolarity of 187 mOsm using glycerol.
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We fabricated the devices using standard soft lithography (Sia and Whitesides 2003
). Briefly, we used a transparency mask (ArtNetPro, San Jose, CA) to pattern features in a 50-µm-thick layer of SU-8 photoresist (SU-8 2035, MicroChem, Newton, MA) on a silicon wafer (University Wafer, South Boston, MA) to form a master. Feature height was determined by the thickness of the SU-8 layer. The master was used as a template for molding devices in polydimethylsiloxane (PDMS, Sylgard 184, Dow Corning, Corning, NY). Chlorotrimethylsilane (Sigma–Aldrich, St. Louis, MO) vapor, deposited for 2 min at atmospheric pressure, was used as a releasing agent. PDMS prepolymer was cast against the master and cured in an oven for 1 h at 100°C. After removing the PDMS from the template, fluid inlet and outlet holes, as well as worm injection ports, were punched with a sharpened stub needle (0.070 mm OD, 22 G). Devices were irreversibly bonded to 1-mm-thick glass plates (Bio-Rad, Hercules, CA) after preexposure to oxygen plasma (120 W, 2 s). Each inlet and outlet was fitted with a short stainless steel tube (12.7 mm length, 0.62 mm OD, 0.43 mm ID; New England Small Tube, Litchfield, NH) to which polyethylene tubing (0.99 mm OD, 0.58 mm ID; Scientific Commodities, Lake Havasu City, AZ) was attached to establish fluid connections. To load a worm into the device, we first sucked the animal into the tip of a length of polyethylene tubing using a 1-ml syringe. We then connected the tubing to the device and applied gentle pressure. Worms were removed from the waveform device by fluid pressure from the same syringe. However, this method did not work with the artificial soil device because pressure on the worm was insufficient to overcome the resistance provided by the pillars. Accordingly, to remove worms from the artificial soil device we first broke them up by sonication (10–20 min), then flushed the device with water.
Step-response assay
Single worms were transferred to the artificial soil device (post diameter, 100 µm; minimum gap, 100 µm) and allowed to accommodate to perfusion (0.65 ml/min) in the device for 2 min before the experiment began. The behavior of individual worms was scored by an observer who pressed computer keys to record the time of entry into two locomotory states: forward and reverse; the omega-turn state was included in the forward state. The behavior of individual worms was quantified as the probability of forward locomotion obtained by computing the fraction of time the worm resided in the forward state in consecutive 10-s bins. The behavior of control and experimental groups was summarized by computing binwise means of individual forward probabilities.
| RESULTS |
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The artificial soil device consists of a 1 x 1-cm hexagonal array of cylindrical posts, 50 µm in height, formed by casting PDMS against a photolithographic mold (Fig. 1). The PDMS is irreversibly bonded to a glass plate, which serves as a floor, forming an enclosed chamber. The worm inhabits fluid-filled spaces between posts, which mimic soil particles or other contact points that provide reaction forces for crawling in natural environments. The device is perfused via fluid reservoirs connected to the inlet and flow rate is regulated by a peristaltic pump that draws from the outlet. The perfusion solution is switched by means of manual valves. Worms are inserted using a fluid-filled syringe fitted with a small tube connected to one of four funnel-shaped injection ports (Chronis et al. 2007
). Because the height of the chamber is <80 µm, the diameter of an adult worm (White et al. 1986
), the worm is slightly compressed; this feature facilitates neuronal imaging by reducing z-axis displacement of cells as the animal moves.
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We found that worms crawled without difficulty in the artificial soil device (Fig. 2, B and C). Crawling persisted for 3 h, the longest observation time in this study, which provides a lower bound on longevity in the device. Movement was undulatory and involved dorsoventral bends, as detected by noting the orientation of body bends with respect to ventral features such as the vulva. Instantaneous body posture was sinuous, but less frequently sinusoidal than on agarose, especially when the worm selected an alley between rows of posts (Fig. 2B, elapsed time 7–17 s). Movement was smooth and continuous (Supplemental Movies S1 and S2),1 and all three locomotory states were evident (Fig. 2, B and C and Supplemental Movies S1 and S2). We conclude that crawling in the artificial soil chip exhibits the main characteristics of crawling on an agarose surface (Croll 1975a
,1975b
).
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As expected, a downward step in NaCl concentration transiently reduced the probability of forward locomotion (Fig. 4). No response was seen in the control experiment, indicating that pressure changes, if they occurred, were not behaviorally relevant. The amplitude and time course of the depression in forward probability were consistent with previous observations of the response to similar concentration changes when worms are crawling on agarose-coated membranes (Miller et al. 2005
). We conclude that the C. elegans chemosensory responses are intact in the artificial soil device. Thus the device provides a new means of precisely regulating the sensory environment of unrestrained, freely crawling worms.
Waveform sampler device
The basic element of the waveform sampler is a sinusoidal channel, 50 µm in height, with worm injection ports at the ends (Fig. 5). The waveform device, like the artificial soil device, is a PDMS casting bonded to a glass plate to form an array of variously shaped channels. Each channel design has three sinusoidal domains with a common amplitude but different wavelengths. Channel designs were replicated in triplicate with widths of 60, 80, and 100 µm because the best width could not be predicted in advance. After filling the desired channel with fluid, the worm is inserted using a fluid-filled syringe fitted with a small tube that can be connected to one of the ports. After insertion, the worm is deposited into the domain of choice by pushing or pulling on the syringe; the straight segments between domains prevent the worm from crawling between them.
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(500 µm). The latter value was in the middle of the wavelength range (400–600 µm) for worms crawling in the presence of food (Cronin et al. 2005
In a survey of crawling in each of the channels, we found three distinct types of domains (Fig. 5). 1) In the domains shown in green, worms were able to crawl and the worm's waveform matched the amplitude and wavelength of the channel. 2) In the domains shown in blue, worms were also able to crawl, but the worm's waveform amplitude was significantly less than the amplitude of the channel. This situation occurred because the effective width of the channel is increased in the tight turns at the channel peaks where adjacent channel segments on the inside of the turns overlap (Supplemental Fig. S1A). 3) In the domains shown in red, worms were unable to move. Following Gray's theoretical analysis of undulatory locomotion (Gray 1953
), the maximum tangential thrust F exerted by a half-wave obeys the proportionality
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Using the green domains, we were able to experimentally control both wavelength and amplitude of robustly crawling individuals. For 80-µm channels, the effective range was from 1.0A, 2.0
at the low-F limit, to 0.5A, 0.6
at the high-F limit. Examples of crawling with controlled waveforms are shown in Fig. 6 (see also Supplemental Movies S3, S4, and S5). In the waveform of a wild-type worm crawling on a conventional agarose substrate there are typically three peaks per body length (Fig. 2A). However, by experimentally manipulating waveform, we found that worms can crawl with ease when there is only one (Fig. 6B) or when there are as many as five peaks per body length (Fig. 6C). This result implies that the mechanism for generation and propagation of the undulatory wave for crawling is independent of wavelength over a wide range, which may reflect an adaptation for crawling through complex, irregular natural substrates.
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C. elegans presents two main challenges in optical recording experiments using fluorescent probes (Kerr et al. 2000
). First, because they are quite small (diameter, 2 µm), the cell bodies of C. elegans neurons contain a small amount of the probe and thus emit relatively few photons; this problem reduces the optical signal-to-noise ratio. Second, because the neurons are often closely packed (White et al. 1986
), it can be difficult to resolve individual neurons. Both problems would be addressed most effectively by the use of high-magnification, high-numerical-aperture microscope objectives. To demonstrate that the artificial soil and waveform sampler devices are compatible with such objectives, we bonded each device to a coverslip instead of a glass plate. We then imaged fluorescently labeled neurons as one might in an optophysiology experiment: with a conventional (nonconfocal) microscope fitted with a x63/1.4 NA oil immersion objective (Fig. 7). Using a strain in which the calcium sensor cameleon (Miyawaki et al. 1997
) is expressed under the control of the odr-2b promoter (Gray et al. 2005
), which labels a small number of sensory neurons and interneurons in the head, we were able to clearly resolve individual, closely spaced neuron somata in both devices. Thus the new devices should facilitate optical recording experiments that require stimulus delivery or waveform and trajectory control in freely crawling nematodes.
| DISCUSSION |
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Artificial soil device
The artificial soil device is likely to accelerate investigations of the behavior of C. elegans and its neuronal basis in three main respects.
The artificial soil device currently has three main limitations. First, the elastomer out of which the device is constructed mimics the microscopic structure of natural substrates but not their chemical properties. Second, the device is planar rather than three-dimensional, so it is not possible to simultaneously investigate movements along all three axes. Third, worms cannot be recovered intact from the device (see METHODS). The first limitation can be partly addressed by taking advantage of the fact that functional groups are easily attached to PDMS surfaces (Hu et al. 2002
; Huang et al. 2006
). The second limitation can be addressed using multilayer fabrication techniques (Abgrall et al. 2006
; Tsang et al. 2007
). The third limitation could be addressed by reversibly bonding the PDMS to the glass using a clamp.
Waveform sampler device
The waveform sampler device is likely to have applications at two distinct spatial scales.
Imaging
A behavior that closely resembles crawling can be induced in a submerged worm by compressing the animal in a low-profile chamber, called the behavior chip, that is slightly wider than the worm (Chronis et al. 2007
). Like the devices described here, the behavior chip is bonded to a coverslip, making it compatible with high-numerical-aperture, high-magnification microscope objectives. In contrast to its behavior in the artificial soil and waveform sampler devices, the worm does not actually translocate in the behavior chip because it has nothing to push against. As a consequence, the worm likely experiences proprioceptive and exteroceptive inputs that are somewhat different from those of a moving worm, which could be a disadvantage in some experiments. However, the behavior chip has the advantage that because the worm is effectively stationary, a tracking system is not needed to keep it in view in optophysiology experiments (Clark et al. 2007
).
Conclusion
The artificial soil and waveform sampler devices add important new features to the microfluidic toolkit for experimental investigations of C. elegans. These features include a closer match to the microscopic structure of natural substrates, temporally and spatially precise delivery of a wide range of stimuli to freely crawling worms, and experimental control of locomotion waveform and trajectory. Significantly, both devices can be made compatible with high-magnification, high-numerical-aperture microscope objectives. Thus combined with a tracking system, the new devices could make it possible to resolve minute, closely spaced neurons in optophysiological experiments in freely crawling nematodes. Finally, the new devices can readily be incorporated into multicomponent microfluidic systems for high-throughput screening of locomotion phenotypes in response to neuronal ablations, mutations, and novel pharmacological agents (Hulme et al. 2007
; Nahui et al. 2007
; Rohde et al. 2007
).
| GRANTS |
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| FOOTNOTES |
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1 The online version of this article contains supplemental data. ![]()
Address for reprint requests and other correspondence: S. Lockery, 305 Huestis Hall, 1210 University of Oregon, Eugene, OR 97403-1210 (E-mail: shawn{at}uoregon.edu)
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