43 research outputs found

    Development of multiplexing strategies for electron and super-resolution optical microscopy/

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    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (p. 30-31).The aim of this work is to increase the multiplexing capabilities of electron and super resolution optical microscopy. This will be done through the development of molecular-scale barcodes that can be resolved in one of the two high resolution imaging modes. In the optical domain, the number of colors available in stochastic optical reconstruction microscopy (STORM) will be increased by taking advantage of not only the spectral differences between STORM fluorophores but their kinetic properties as well. In the electron microscopy domain, the recently developed electron contrast-generating protein miniSOG will be concatenated to produce fully genetically encoded barcodes that can be resolved using standard transmission electron microscopy techniques. At the time of writing, the hardware for a STORM microscope has been assembled. Single molecule fluorescence blinking has been observed, though the imaging buffer still needs to be optimized for imaging. Concatamers of miniSOG have been generated and can be expressed in HEK cells and photo-oxidized.by Paul W. Tillberg.S.M

    A fully genetically encoded protein architecture for optical control of peptide ligand concentration

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    Ion channels are among the most important proteins in biology, regulating the activity of excitable cells and changing in diseases. Ideally it would be possible to actuate endogenous ion channels, in a temporally precise and reversible manner, and without requiring chemical cofactors. Here we present a modular protein architecture for fully genetically encoded, light-modulated control of ligands that modulate ion channels of a targeted cell. Our reagent, which we call a lumitoxin, combines a photoswitch and an ion channel-blocking peptide toxin. Illumination causes the photoswitch to unfold, lowering the toxin’s local concentration near the cell surface, and enabling the ion channel to function. We explore lumitoxin modularity by showing operation with peptide toxins that target different voltage-dependent K+ channels. The lumitoxin architecture may represent a new kind of modular protein-engineering strategy for designing light-activated proteins, and thus may enable development of novel tools for modulating cellular physiology.National Institutes of Health (U.S.) (grant NIH 1DP2OD002002)National Institutes of Health (U.S.) (grant NIH 1R01DA029639)National Institutes of Health (U.S.) (grant NIH 1R01NS075421)National Institutes of Health (U.S.) (grant NIH 1RC1MH088182)National Science Foundation (U.S.) (NSF CAREER Award CBET 1053233)United States. Defense Advanced Research Projects Agency (DARPA Living Foundries, Contract HR0011-12-C-0068)New York Stem Cell Foundation (Robertson Investigator Award)Damon Runyon Cancer Research Foundation (DRG 2095-11)Fannie and John Hertz FoundationNational Science Foundation (U.S.) (Graduate Research Fellowship under grant no. 1122374)Massachusetts Institute of Technology. Synthetic Intelligence Laboratory (project

    Organ-targeted high-throughput in vivo biologics screen identifies materials for RNA delivery

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    Therapies based on biologics involving delivery of proteins, DNA, and RNA are currently among the most promising approaches. However, although large combinatorial libraries of biologics and delivery vehicles can be readily synthesized, there are currently no means to rapidly characterize them in vivo using animal models. Here, we demonstrate high-throughput in vivo screening of biologics and delivery vehicles by automated delivery into target tissues of small vertebrates with developed organs. Individual zebrafish larvae are automatically oriented and immobilized within hydrogel droplets in an array format using a microfluidic system, and delivery vehicles are automatically microinjected to target organs with high repeatability and precision. We screened a library of lipid-like delivery vehicles for their ability to facilitate the expression of protein-encoding RNAs in the central nervous system. We discovered delivery vehicles that are effective in both larval zebrafish and rats. Our results showed that the in vivo zebrafish model can be significantly more predictive of both false positives and false negatives in mammals than in vitro mammalian cell culture assays. Our screening results also suggest certain structure–activity relationships, which can potentially be applied to design novel delivery vehicles.National Institutes of Health (U.S.) (Transformative Research Award R01 NS073127)National Institutes of Health (U.S.) (Director's Innovator Award DP2 OD002989)David & Lucile Packard Foundation (Award in Science and Engineering)Sanofi Aventis (Firm)Foxconn International Holdings Ltd.Hertz Foundation (Fellowship)University Grants Committee (Hong Kong, China) (Early Career Award 125012)National Natural Science Foundation (China) (81201164)ITC (ITS/376/13)Chinese University of Hong Kong (Grant 9610215)Chinese University of Hong Kong (Grant 7200269

    Striosome–dendron bouquets highlight a unique striatonigral circuit targeting dopamine-containing neurons

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    The dopamine systems of the brain powerfully influence movement and motivation. We demonstrate that striatonigral fibers originating in striosomes form highly unusual bouquet-like arborizations that target bundles of ventrally extending dopamine-containing dendrites and clusters of their parent nigral cell bodies. Retrograde tracing showed that these clustered cell bodies in turn project to the striatum as part of the classic nigrostriatal pathway. Thus, these striosome-dendron formations, here termed "striosome-dendron bouquets," likely represent subsystems with the nigro-striato-nigral loop that are affected in human disorders including Parkinson's disease. Within the bouquets, expansion microscopy resolved many individual striosomal fibers tightly intertwined with the dopamine-containing dendrites and also with afferents labeled by glutamatergic, GABAergic, and cholinergic markers and markers for astrocytic cells and fibers and connexin 43 puncta. We suggest that the striosome-dendron bouquets form specialized integrative units within the dopamine-containing nigral system. Given evidence that striosomes receive input from cortical regions related to the control of mood and motivation and that they link functionally to reinforcement and decision-making, the striosome-dendron bouquets could be critical to dopamine-related function in health and disease

    Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx)

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    Expansion microscopy (ExM) is a powerful technique to overcome the diffraction limit of light microscopy that can be applied in both tissues and cells. In ExM, samples are embedded in a swellable polymer gel to physically expand the sample and isotropically increase resolution in x, y, and z. The maximum resolution increase is limited by the expansion factor of the gel, which is four-fold for the original ExM protocol. Variations on the original ExM method have been reported that allow for greater expansion factors but at the cost of ease of adoption or versatility. Here, we systematically explore the ExM recipe space and present a novel method termed Ten-fold Robust Expansion Microscopy (TREx) that, like the original ExM method, requires no specialized equipment or procedures. We demonstrate that TREx gels expand 10-fold, can be handled easily, and can be applied to both thick mouse brain tissue sections and cultured human cells enabling high-resolution subcellular imaging with a single expansion step. Furthermore, we show that TREx can provide ultra-structural context to subcellular protein localization by combining antibody-stained samples with off-the-shelf small-molecule stains for both total protein and membranes

    Ten-fold Robust Expansion Microscopy

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    Expansion microscopy (ExM) is a powerful technique to overcome the diffraction limit of light microscopy that can be applied in both tissues and cells. In ExM, samples are embedded in a swellable polymer gel to physically expand the sample and isotropically increase resolution in x, y, and z. By systematic exploration of the ExM recipe space, we developed a novel ExM method termed Ten-fold Robust Expansion Microscopy (TREx) that, as the original ExM method, requires no specialized equipment or procedures. TREx enables ten-fold expansion of both thick mouse brain tissue sections and cultured human cells, can be handled easily, and enables high-resolution subcellular imaging with a single expansion step. Furthermore, TREx can provide ultrastructural context to subcellular protein localization by combining antibody-stained samples with off-the-shelf small molecule stains for both total protein and membranes

    Organ-targeted high-throughput in vivo biologics screen identifies materials for RNA delivery

    Get PDF
    Therapies based on biologics involving delivery of proteins, DNA, and RNA are currently among the most promising approaches. However, although large combinatorial libraries of biologics and delivery vehicles can be readily synthesized, there are currently no means to rapidly characterize them in vivo using animal models. Here, we demonstrate high-throughput in vivo screening of biologics and delivery vehicles by automated delivery into target tissues of small vertebrates with developed organs. Individual zebrafish larvae are automatically oriented and immobilized within hydrogel droplets in an array format using a microfluidic system, and delivery vehicles are automatically microinjected to target organs with high repeatability and precision. We screened a library of lipid-like delivery vehicles for their ability to facilitate the expression of protein-encoding RNAs in the central nervous system. We discovered delivery vehicles that are effective in both larval zebrafish and rats. Our results showed that the in vivo zebrafish model can be significantly more predictive of both false positives and false negatives in mammals than in vitro mammalian cell culture assays. Our screening results also suggest certain structure–activity relationships, which can potentially be applied to design novel delivery vehicles.National Institutes of Health (U.S.) (Transformative Research Award R01 NS073127)National Institutes of Health (U.S.) (Director's Innovator Award DP2 OD002989)David & Lucile Packard Foundation (Award in Science and Engineering)Sanofi Aventis (Firm)Foxconn International Holdings Ltd.Hertz Foundation (Fellowship)University Grants Committee (Hong Kong, China) (Early Career Award 125012)National Natural Science Foundation (China) (81201164)ITC (ITS/376/13)Chinese University of Hong Kong (Grant 9610215)Chinese University of Hong Kong (Grant 7200269

    BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples.

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    Light-sheet imaging of cleared and expanded samples creates terabyte-sized datasets that consist of many unaligned three-dimensional image tiles, which must be reconstructed before analysis. We developed the BigStitcher software to address this challenge. BigStitcher enables interactive visualization, fast and precise alignment, spatially resolved quality estimation, real-time fusion and deconvolution of dual-illumination, multitile, multiview datasets. The software also compensates for optical effects, thereby improving accuracy and enabling subsequent biological analysis

    Glutamate indicators with improved activation kinetics and localization for imaging synaptic transmission

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    iGluSnFR variants with improved signal-to-noise ratios and targeting to postsynaptic sites have been developed, enabling the analysis of glutamatergic neurotransmission in vivo as illustrated in the mouse visual and somatosensory cortex. The fluorescent glutamate indicator iGluSnFR enables imaging of neurotransmission with genetic and molecular specificity. However, existing iGluSnFR variants exhibit low in vivo signal-to-noise ratios, saturating activation kinetics and exclusion from postsynaptic densities. Using a multiassay screen in bacteria, soluble protein and cultured neurons, we generated variants with improved signal-to-noise ratios and kinetics. We developed surface display constructs that improve iGluSnFR's nanoscopic localization to postsynapses. The resulting indicator iGluSnFR3 exhibits rapid nonsaturating activation kinetics and reports synaptic glutamate release with decreased saturation and increased specificity versus extrasynaptic signals in cultured neurons. Simultaneous imaging and electrophysiology at individual boutons in mouse visual cortex showed that iGluSnFR3 transients report single action potentials with high specificity. In vibrissal sensory cortex layer 4, we used iGluSnFR3 to characterize distinct patterns of touch-evoked feedforward input from thalamocortical boutons and both feedforward and recurrent input onto L4 cortical neuron dendritic spines

    Protein-retention expansion microscopy of cells and tissues labeled using standard fluorescent proteins and antibodies

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    Expansion microscopy (ExM) enables imaging of preserved specimens with nanoscale precision on diffraction-limited instead of specialized super-resolution microscopes. ExM works by physically separating fluorescent probes after anchoring them to a swellable gel. The first ExM method did not result in the retention of native proteins in the gel and relied on custom-made reagents that are not widely available. Here we describe protein retention ExM (proExM), a variant of ExM in which proteins are anchored to the swellable gel, allowing the use of conventional fluorescently labeled antibodies and streptavidin, and fluorescent proteins. We validated and demonstrated the utility of proExM for multicolor super-resolution (~70 nm) imaging of cells and mammalian tissues on conventional microscopes.United States. National Institutes of Health (1R01GM104948)United States. National Institutes of Health (1DP1NS087724)United States. National Institutes of Health ( NIH 1R01EY023173)United States. National Institutes of Health (1U01MH106011
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