Matthew M. Crane

Automated on-chip rapid microscopy, phenotyping and sorting of C. elegans

Microscopy, phenotyping and visual screens are frequently applied to model organisms in combination with genetics. Although widely used, these techniques for multicellular organisms have mostly remained manual and low-throughput. Here we report the complete automation of sample handling, high-resolution microscopy, phenotyping and sorting of Caenorhabditis elegans. The engineered microfluidic system, coupled with customized software, has enabled high-throughput, high-resolution microscopy and sorting with no human intervention and may be combined with any microscopy setup. The microchip is capable of robust local temperature control, self-regulated sample-loading and automatic sample-positioning, while the integrated software performs imaging and classification of worms based on morphological and intensity features. We demonstrate the ability to perform sensitive and quantitative screens based on cellular and subcellular phenotypes with over 95% accuracy per round and a rate of several hundred worms per hour. Screening time can be reduced by orders of magnitude; moreover, screening is completely automated.

Real-time multimodal optical control of neurons and muscles in freely behaving Caenorhabditis elegans

The ability to optically excite or silence specific cells using optogenetics has become a powerful tool to interrogate the nervous system. Optogenetic experiments in small organisms have mostly been performed using whole-field illumination and genetic targeting, but these strategies do not always provide adequate cellular specificity. Targeted illumination can be a valuable alternative but it has only been shown in motionless animals without the ability to observe behavior output. We present a real-time, multimodal illumination technology that allows both tracking and recording the behavior of freely moving C. elegans while stimulating specific cells that express channelrhodopsin-2 or MAC. We used this system to optically manipulate nodes in the C. elegans touch circuit and study the roles of sensory and command neurons and the ultimate behavioral output. This technology enhances our ability to control, alter, observe and investigate how neurons, muscles and circuits ultimately produce behavior in animals using optogenetics.

Autonomous screening of C. elegans identifies genes implicated in synaptogenesis

Morphometric studies in multicellular organisms are generally performed manually because of the complexity of multidimensional features and lack of appropriate tools for handling these organisms. Here we present an integrated system that identifies and sorts Caenorhabditis elegans mutants with altered subcellular traits in real time without human intervention. We performed self-directed screens 100 times faster than manual screens and identified both genes and phenotypic classes involved in synapse formation.Morphometric studies in multicellular organisms are mostly performed manually because of the complexity of multidimensional features and lack of appropriate tools for handling these organisms. Here we present an integrated system to autonomously (i.e. without human supervision) identify and sort mutants with altered subcellular traits in real-time. We performed self-directed screens of synapse formation 100× faster and found both novel genes and phenotypic classes previously unidentified in extensive manual screens.

A multispectral optical illumination system with precise spatiotemporal control for the manipulation of optogenetic reagents

Optogenetics is an excellent tool for noninvasive activation and silencing of neurons and muscles. Although they have been widely adopted, illumination techniques for optogenetic tools remain limited and relatively nonstandardized. We present a protocol for constructing an illumination system capable of dynamic multispectral optical targeting of micrometer-sized structures in both stationary and moving objects. The initial steps of the protocol describe how to modify an off-the-shelf video projector by insertion of optical filters and modification of projector optics. Subsequent steps involve altering the microscopes epifluorescence optical train as well as alignment and characterization of the system. When fully assembled, the illumination system is capable of dynamically projecting multispectral patterns with a resolution better than 10 μm at medium magnifications. Compared with other custom-assembled systems and commercially available products, this protocol allows a researcher to assemble the illumination system for a fraction of the cost and can be completed within a few days.

A microfluidic system for studying ageing and dynamic single-cell responses in budding yeast.

Recognition of the importance of cell-to-cell variability in cellular decision-making and a growing interest in stochastic modeling of cellular processes has led to an increased demand for high density, reproducible, single-cell measurements in time-varying surroundings. We present ALCATRAS (A Long-term Culturing And TRApping System), a microfluidic device that can quantitatively monitor up to 1000 cells of budding yeast in a well-defined and controlled environment. Daughter cells are removed by fluid flow to avoid crowding allowing experiments to run for over 60 hours, and the extracellular media may be changed repeatedly and in seconds. We illustrate use of the device by measuring ageing through replicative life span curves, following the dynamics of the cell cycle, and examining history-dependent behaviour in the general stress response.

Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans

Quantitative imaging has become a vital technique in biological discovery and clinical diagnostics; a plethora of tools have recently been developed to enable new and accelerated forms of biological investigation. Increasingly, the capacity for high-throughput experimentation provided by new imaging modalities, contrast techniques, microscopy tools, microfluidics and computer controlled systems shifts the experimental bottleneck from the level of physical manipulation and raw data collection to automated recognition and data processing. Yet, despite their broad importance, image analysis solutions to address these needs have been narrowly tailored. Here, we present a generalizable formulation for autonomous identification of specific biological structures that is applicable for many problems. The process flow architecture we present here utilizes standard image processing techniques and the multi-tiered application of classification models such as support vector machines (SVM). These low-level functions are readily available in a large array of image processing software packages and programming languages. Our framework is thus both easy to implement at the modular level and provides specific high-level architecture to guide the solution of more complicated image-processing problems. We demonstrate the utility of the classification routine by developing two specific classifiers as a toolset for automation and cell identification in the model organism Caenorhabditis elegans. To serve a common need for automated high-resolution imaging and behavior applications in the C. elegans research community, we contribute a ready-to-use classifier for the identification of the head of the animal under bright field imaging. Furthermore, we extend our framework to address the pervasive problem of cell-specific identification under fluorescent imaging, which is critical for biological investigation in multicellular organisms or tissues. Using these examples as a guide, we envision the broad utility of the framework for diverse problems across different length scales and imaging methods.

Regulation of Synaptic Extracellular Matrix Composition Is Critical for Proper Synapse Morphology

Synapses are surrounded by a layer of extracellular matrix (ECM), which is instrumental for their development and maintenance. ECM composition is dynamically controlled by proteases, but how the precise composition of the ECM affects synaptic morphology is largely unknown. Through an unbiased forward genetic screen, we found that Caenorhabditis elegans gon-1, a conserved extracellular ADAMTS protease, is required for maintaining proper synaptic morphology at the neuromuscular junction. In gon-1 mutants, once synapse formation is complete, motor neuron presynaptic varicosities develop into large bulbous protrusions that contain synaptic vesicles and active zone proteins. A concomitant overgrowth of postsynaptic muscle membrane is found in close apposition to presynaptic axonal protrusions. Mutations in the muscle-specific, actin-severing protein cofilin (unc-60) suppress the axon phenotype, suggesting that muscle outgrowth is necessary for presynaptic protrusions. gon-1 mutants can also be suppressed by loss of the ECM components collagen IV (EMB-9) and fibulin (FBL-1). We propose that GON-1 regulates a developmental switch out of an initial “pro-growth” phase during which muscle arms grow out and form synapses with motor neuron axons. We postulate that this switch involves degradation or reorganization of collagen IV (EMB-9), whereas FBL-1 opposes GON-1 by stabilizing EMB-9. Our results describe a mechanism for regulating synaptic ECM composition and reveal the importance of precise ECM composition for neuronal morphology and synapse integrity.

Rabx-5 Regulates RAB-5 Early Endosomal Compartments and Synaptic Vesicles in C. elegans

Early endosomal membrane compartments are required for the formation and recycling of synaptic vesicles, but how these compartments are regulated is incompletely understood. We performed a forward genetic screen in C. elegans for mutations that affect RAB-5 labeled early endosomal compartments in GABAergic motoneurons. Here we report the isolation and characterization of one mutation, rabx-5. The rabx-5 mutation leads to decreased intensity of YFP::RAB-5 in the cell soma but increased intensity in the synaptic and intersynaptic regions of the axon. This effect is due to the bias of the cycling state of RAB-5, and results from a change in the organization of the early endosomal compartment as well as the membrane binding state of RAB-5. Synaptic vesicle accumulation is altered in rabx-5 mutants, and synaptic transmission from cholinergic neurons is decreased. Early endosomal membrane compartments show disorganization with ageing and rabx-5 mutant animals age faster. These results suggest that rabx-5 regulation of RAB-5 compartments is important for maintaining proper synaptic function throughout the lifetime.

Distributing tasks via multiple input pathways increases cellular survival in stress

Improving in one aspect of a task can undermine performance in another, but how such opposing demands play out in single cells and impact on fitness is mostly unknown. Here we study budding yeast in dynamic environments of hyperosmotic stress and show how the corresponding signalling network increases cellular survival both by assigning the requirements of high response speed and high response accuracy to two separate input pathways and by having these pathways interact to converge on Hog1, a p38 MAP kinase. Cells with only the less accurate, reflex-like pathway are fitter in sudden stress, whereas cells with only the slow, more accurate pathway are fitter in increasing but fluctuating stress. Our results demonstrate that cellular signalling is vulnerable to trade-offs in performance, but that these trade-offs can be mitigated by assigning the opposing tasks to different signalling subnetworks. Such division of labour could function broadly within cellular signal transduction. DOI: http://dx.doi.org/10.7554/eLife.21415.001

Sequentially pulsed fluid delivery to establish soluble gradients within a scalable microfluidic chamber array

This work presents a microfluidic chamber array that generates soluble gradients using sequentially pulsed fluid delivery (SPFD). SPFD produces stable gradients by delivering flow pulses to either side of a chamber. The pulses on each side contain different signal concentrations, and they alternate in sequence, providing the driving force to establish a gradient via diffusion. The device, herein, is significant because it demonstrates the potential to simultaneously meet four important needs that can accelerate and enhance the study of cellular responses to signal gradients. These needs are (i) a scalable chamber array, (ii) low complexity fabrication, (iii) a non-shearing microenvironment, and (iv) gradients with low (near zero) background concentrations. The ability to meet all four needs distinguishes the SPFD device from flow-based and diffusion-based designs, which can only achieve a subset of such needs. Gradients are characterized using fluorescence measurements, which reveal the ability to change the curvature of concentration profiles by simple adjustments to pulsing sequence and flow rate. Preliminary experiments with MDA-MB-231 cancer cells demonstrate cell viability and indicate migrational and morphological responses to a fetal bovine serum gradient. Improved and expanded versions of this technology could form the basis of high-throughput screening tools to study cell migration, development, and cancer.