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12 Janelia Publications
Showing 1-10 of 12 resultsNew methods in stem cell 3D organoid tissue culture, advanced imaging and big data image analytics now allow tissue scale 4D cell biology, but currently available analytical pipelines are inadequate for handing and analyzing the resulting gigabytes and terabytes of high-content imaging data. We expressed fluorescent protein fusions of clathrin and dynamin2 at endogenous levels in genome-edited human embryonic stem cells, which were differentiated into hESC-derived intestinal epithelial organoids. Lattice Light-Sheet Imaging with adaptive optics (AO-LLSM) allowed us to image large volumes of these organoids (70µm x 60µm x 40µm xyz) at 5.7s/frame. We developed an open source data analysis package termed pyLattice to process the resulting large (∼60Gb) movie datasets and to track clathrin-mediated endocytosis (CME) events. CME tracks could be recorded from ∼35 cells at a time, resulting in ∼4000 processed tracks per movie. Based on their localization in the organoid, we classified CME tracks into apical, lateral and basal events and found that CME dynamics are similar for all three classes, despite reported differences in membrane tension. pyLattice coupled with AO-LLSM makes possible quantitative, high temporal and spatial resolution analysis of subcellular events within tissues. Movie S1 Movie S1 Thresholded 3D AO-LLSM data of an intestinal epithelial organoid showing clathrin (red) and dynamin2 (green) puncta in surface depiction. The movie zooms out from a single clathrin mediated endocytosis event that shows both clathrin and dynamin2 at the same location to eventually show the whole AO-LLSM field of view. Nuclear envelopes and the outer membranes of the tissue are depicted in transparent white. Movie S2 Movie S2 Thresholded 3D AO-LLSM data of an intestinal epithelial organoid showing clathrin (red) and dynamin2 (green) puncta in surface depiction. The movie rotates the AO-LLSM field of view. Nuclear envelopes and the outer membranes of the tissue are depicted in transparent white. Movie S3 Movie S3 Thresholded 3D AO-LLSM data of an intestinal epithelial organoid. The curved surface is of the spherical organoid is visible as the movie rotates. Clathrin puncta are visible throughout the tissue (white). Movie S4 Movie S4 The detection step in the data processing pipeline retrieves all clathrin puncta in the volume. Detected puncta are marked with a cube (blue). Movie S5 Movie S5 Zoom on one clathrin puncta in the thresholded 3D dataset. The punctum of interest is marked with a blue cube. Other puncta are also visible. Movie S6 Movie S6 Zoom on the same clathrin puncta as in M3 in non-thresholded 3D data. The surrounding fluorescence is visible as a transparent cloud.
The behavioral response to a sensory stimulus may depend on both learned and innate neuronal representations. How these circuits interact to produce appropriate behavior is unknown. In Drosophila, the lateral horn (LH) and mushroom body (MB) are thought to mediate innate and learned olfactory behavior, respectively, although LH function has not been tested directly. Here we identify two LH cell types (PD2a1 and PD2b1) that receive input from an MB output neuron required for recall of aversive olfactory memories. These neurons are required for aversive memory retrieval and modulated by training. Connectomics data demonstrate that PD2a1 and PD2b1 neurons also receive direct input from food odor-encoding neurons. Consistent with this, PD2a1 and PD2b1 are also necessary for unlearned attraction to some odors, indicating that these neurons have a dual behavioral role. This provides a circuit mechanism by which learned and innate olfactory information can interact in identified neurons to produce appropriate behavior.
The bacterial type III secretion system, or injectisome, is a syringe shaped nanomachine essential for the virulence of many disease causing Gram-negative bacteria. At the core of the injectisome structure is the needle complex, a continuous channel formed by the highly oligomerized inner and outer membrane hollow rings and a polymerized helical needle filament which spans through and projects into the infected host cell. Here we present the near-atomic resolution structure of a needle complex from the prototypical Salmonella Typhimurium SPI-1 type III secretion system, with local masking protocols allowing for model building and refinement of the major membrane spanning components of the needle complex base in addition to an isolated needle filament. This work provides significant insight into injectisome structure and assembly and importantly captures the molecular basis for substrate induced gating in the giant outer membrane secretin portal family.
Seizures induced by visual stimulation (photosensitive epilepsy; PSE) represent a common type of epilepsy in humans, but the molecular mechanisms and genetic drivers underlying PSE remain unknown, and no good genetic animal models have been identified as yet. Here, we show an animal model of PSE, in , owing to defective cortex glia. The cortex glial membranes are severely compromised in ceramide phosphoethanolamine synthase ()-null mutants and fail to encapsulate the neuronal cell bodies in the neuronal cortex. Expression of human sphingomyelin synthase 1, which synthesizes the closely related ceramide phosphocholine (sphingomyelin), rescues the cortex glial abnormalities and PSE, underscoring the evolutionarily conserved role of these lipids in glial membranes. Further, we show the compromise in plasma membrane structure that underlies the glial cell membrane collapse in mutants and leads to the PSE phenotype.
Accurately predicting an outcome requires that animals learn supporting and conflicting evidence from sequential experience. In mammals and invertebrates, learned fear responses can be suppressed by experiencing predictive cues without punishment, a process called memory extinction. Here, we show that extinction of aversive memories in Drosophila requires specific dopaminergic neurons, which indicate that omission of punishment is remembered as a positive experience. Functional imaging revealed co-existence of intracellular calcium traces in different places in the mushroom body output neuron network for both the original aversive memory and a new appetitive extinction memory. Light and ultrastructural anatomy are consistent with parallel competing memories being combined within mushroom body output neurons that direct avoidance. Indeed, extinction-evoked plasticity in a pair of these neurons neutralizes the potentiated odor response imposed in the network by aversive learning. Therefore, flies track the accuracy of learned expectations by accumulating and integrating memories of conflicting events.
Optogenetics is possibly the most revolutionary advance in neuroscience research techniques within the last decade. Here, we describe lab modules, presented at a workshop for undergraduate neuroscience educators, using optogenetic control of neurons in the fruit fly Drosophila melanogaster. Drosophila is a genetically accessible model system that combines behavioral and neurophysiological complexity, ease of use, and high research relevance. One lab module utilized two transgenic Drosophila strains, each activating specific circuits underlying startle behavior and backwards locomotion, respectively. The red-shifted channelrhodopsin, CsChrimson, was expressed in neurons sharing a common transcriptional profile, with the expression pattern further refined by the use of a Split GAL4 intersectional activation system. Another set of strains was used to investigate synaptic transmission at the larval neuromuscular junction. These expressed Channelrhodopsin 2 (ChR2) in glutamatergic neurons, including the motor neurons. The first strain expressed ChR2 in a wild type background, while the second contained the SNAP-25ts mutant allele, which confers heightened evoked potential amplitude and greatly increased spontaneous vesicle release frequency at the larval neuromuscular junction. These modules introduced educators and students to the use of optogenetic stimulation to control behavior and evoked release at a model synapse, and establish a basis for students to explore neurophysiology using this technique, through recapitulating classic experiments and conducting independent research.
The most fundamental choice an animal has to make when it detects a threat is whether to freeze, reducing its chances of being noticed, or to flee to safety. Here we show that Drosophila melanogaster exposed to looming stimuli in a confined arena either freeze or flee. The probability of freezing versus fleeing is modulated by the fly's walking speed at the time of threat, demonstrating that freeze/flee decisions depend on behavioral state. We describe a pair of descending neurons crucially implicated in freezing. Genetic silencing of DNp09 descending neurons disrupts freezing yet does not prevent fleeing. Optogenetic activation of both DNp09 neurons induces running and freezing in a state-dependent manner. Our findings establish walking speed as a key factor in defensive response choices and reveal a pair of descending neurons as a critical component in the circuitry mediating selection and execution of freezing or fleeing behaviors.
Spatiotemporal correlations in brain activity are functionally important and have been implicated in perception, learning and plasticity, exploratory behavior, and various aspects of cognition. Neurons in the cerebral cortex are strongly interacting. Their activity is temporally irregular and can exhibit substantial correlations. However, how the collective dynamics of highly recurrent and strongly interacting neurons can evolve into a state in which the activity of individual cells is highly irregular yet macroscopically correlated is an open question. Here, we develop a general theory that relates the strength of pairwise correlations to the anatomical features of networks of strongly coupled neurons. To this end, we investigate networks of binary units. When interactions are strong, the activity is irregular in a large region of parameter space. We find that despite the strong interactions, the correlations are generally very weak. Nevertheless, we identify architectural features, which if present, give rise to strong correlations without destroying the irregularity of the activity. For networks with such features, we determine how correlations scale with the network size and the number of connections. Our work shows the mechanism by which strong correlations can be consistent with highly irregular activity, two hallmarks of neuronal dynamics in the central nervous system.
Human pluripotent stem cells (hPSC) can generate almost all adult cell lineages. While it is clear that key transcriptional programmes are important elements for maintaining pluripotency, the equally essential requirement for cell adhesion to specific extracellular matrix components remains poorly defined. Our recent observation that hPSC colonies form unusually large “cornerstone” focal adhesions (FA), distinct from parental somatic cells, that are lost following differentiation, emphasises the potential of these atypical FA as gatekeepers of pluripotency. Here, using nanopatterns, we further demonstrate that physical restriction of adhesion size, in hPSC colonies, is sufficient to trigger differentiation. Using superresolution two-colour interfero-metric photo-activated localization microscopy (iPALM), we examined the three-dimensional architecture of these cornerstone adhesions and report vertical lamination of FA proteins with three main structural peculiarities: 1) integrin β5 and talin are present at high density, at the edges of cornerstone FA, adjacent to a vertical kank-rich protein wall. 2) Vinculin localises higher than expected with respect to the substrata and displays a head-above-tail orientation, and 3) surprisingly, actin and α-actinin are present in two discrete layers, a previously undescribed localisation for these proteins. Finally, we report that depletion of kanks diminishes FA patterning, and actin organisation within the colony, indicating a key role for kanks in hPSC colony architecture.
Neural circuit reconstruction at single synapse resolution is increasingly recognized as crucially important to decipher the function of biological nervous systems. Volume electron microscopy in serial transmission or scanning mode has been demonstrated to provide the necessary resolution to segment or trace all neurites and to annotate all synaptic connections.
Automatic annotation of synaptic connections has been done successfully in near isotropic electron microscopy of vertebrate model organisms. Results on non-isotropic data in insect models, however, are not yet on par with human annotation.
We designed a new 3D-U-Net architecture to optimally represent isotropic fields of view in non-isotropic data. We used regression on a signed distance transform of manually annotated synaptic clefts of the CREMI challenge dataset to train this model and observed significant improvement over the state of the art.
We developed open source software for optimized parallel prediction on very large volumetric datasets and applied our model to predict synaptic clefts in a 50 tera-voxels dataset of the complete Drosophila brain. Our model generalizes well to areas far away from where training data was available.