Person: Sanes, Joshua
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Publication Transgenic Strategy for Identifying Synaptic Connections in Mice by Fluorescence Complementation (GRASP)
(Frontiers Research Foundation, 2012) Yamagata, Masahito; Sanes, JoshuaIn the “GFP reconstitution across synaptic partners” (GRASP) method, non-fluorescent fragments of GFP are expressed in two different neurons; the fragments self-assemble at synapses between the two to form a fluorophore. GRASP has proven useful for light microscopic identification of synapses in two invertebrate species, (Caenorhabditis) (elegans) and (Drosophila) (melanogaster), but has not yet been applied to vertebrates. Here, we describe GRASP constructs that function in mammalian cells and implement a transgenic strategy in which a Cre-dependent gene switch leads to expression of the two fragments in mutually exclusive neuronal subsets in mice. Using a transgenic line that expresses Cre selectively in rod photoreceptors, we demonstrate labeling of synapses in the outer plexiform layer of the retina. Labeling is specific, in that synapses made by rods remain labeled for at least 6 months whereas nearby synapses made by intercalated cone photoreceptors on many of the same interneurons remain unlabeled. We also generated antisera that label reconstituted GFP but neither fragment in order to amplify the GRASP signal and thereby increase the sensitivity of the method.
Publication Laminar Restriction of Retinal Ganglion Cell Dendrites and Axons: Subtype-Specific Developmental Patterns Revealed with Transgenic Markers
(Society for Neuroscience, 2010) Kim, In-Jung; Zhang, Yifeng; Meister, Markus; Sanes, JoshuaRetinal ganglion cells (RGCs), which transfer information from the eye to the brain, are heterogeneous in structure and function, but developmental studies have generally treated them as a single group. Here, we investigate the development of RGC axonal and dendritic arbors using four mouse transgenic lines in which nonoverlapping subsets of RGCs are indelibly labeled with a fluorescent protein. Each subset has a distinct functional signature, size, and morphology. Dendrites of each subset are restricted to specific sublaminae within the inner plexiform layer in adulthood, but acquire their restriction in different ways: one subset has lamina-restricted dendrites from an early postnatal stage, a second remodels an initially diffuse pattern, and two others develop stepwise. Axons of each subset arborize in discrete laminar zones within the lateral geniculate nucleus or superior colliculus, demonstrating previously unrecognized subdivisions of retinorecipient layers. As is the case for dendrites, lamina-restricted axonal projections of RGC subsets develop in different ways. For example, while axons of two RGC subsets arborize in definite zones of the superior colliculus from an early postnatal stage, axons of another subset initially occupy a deep layer, then translocate to a narrow subpial zone. Together, these results show that RGC subsets use a variety of strategies to construct lamina-restricted dendritic and axonal arbors. Taking account of these subtype-specific features will facilitate identification of the molecules and cells that regulate arbor formation.
Publication Improved Tools for the Brainbow Toolbox
(Nature Publishing Group, 2013) Cai, Dawen; Cohen, Kimberly B; Luo, Tuanlian; Lichtman, Jeff; Sanes, JoshuaIn the transgenic multicolor labeling strategy called 'Brainbow', Cre-loxP recombination is used to create a stochastic choice of expression among fluorescent proteins, resulting in the indelible marking of mouse neurons with multiple distinct colors. This method has been adapted to non-neuronal cells in mice and to neurons in fish and flies, but its full potential has yet to be realized in the mouse brain. Here we present several lines of mice that overcome limitations of the initial lines, and we report an adaptation of the method for use in adeno-associated viral vectors. We also provide technical advice about how best to image Brainbow-expressing tissue.
Publication Reconstruction of genetically identified neurons imaged by serial-section electron microscopy
(eLife Sciences Publications, Ltd, 2016) Joesch, Maximilian; Mankus, David; Yamagata, Masahito; Shahbazi, Ali; Schalek, Richard; Suissa-Peleg, Adi; Meister, Markus; Lichtman, Jeff; Scheirer, Walter J; Sanes, JoshuaResolving patterns of synaptic connectivity in neural circuits currently requires serial section electron microscopy. However, complete circuit reconstruction is prohibitively slow and may not be necessary for many purposes such as comparing neuronal structure and connectivity among multiple animals. Here, we present an alternative strategy, targeted reconstruction of specific neuronal types. We used viral vectors to deliver peroxidase derivatives, which catalyze production of an electron-dense tracer, to genetically identify neurons, and developed a protocol that enhances the electron-density of the labeled cells while retaining the quality of the ultrastructure. The high contrast of the marked neurons enabled two innovations that speed data acquisition: targeted high-resolution reimaging of regions selected from rapidly-acquired lower resolution reconstruction, and an unsupervised segmentation algorithm. This pipeline reduces imaging and reconstruction times by two orders of magnitude, facilitating directed inquiry of circuit motifs. DOI: http://dx.doi.org/10.7554/eLife.15015.001
Publication A genetic and computational approach to structurally classify neuronal types
(2014) Sümbül, Uygar; Song, Sen; McCulloch, Kyle; Becker, Michael; Lin, Bin; Sanes, Joshua; Masland, Richard; Seung, H. SebastianThe importance of cell types in understanding brain function is widely appreciated but only a tiny fraction of neuronal diversity has been catalogued. Here, we exploit recent progress in genetic definition of cell types in an objective structural approach to neuronal classification. The approach is based on highly accurate quantification of dendritic arbor position relative to neurites of other cells. We test the method on a population of 363 mouse retinal ganglion cells. For each cell, we determine the spatial distribution of the dendritic arbors, or “arbor density” with reference to arbors of an abundant, well-defined interneuronal type. The arbor densities are sorted into a number of clusters that is set by comparison with several molecularly defined cell types. The algorithm reproduces the genetic classes that are pure types, and detects six newly clustered cell types that await genetic definition.
Publication Protocadherin-dependent dendritic self-avoidance regulates neural connectivity and circuit function
(eLife Sciences Publications, Ltd, 2015) Kostadinov, Dimitar; Sanes, JoshuaDendritic and axonal arbors of many neuronal types exhibit self-avoidance, in which branches repel each other. In some cases, these neurites interact with those of neighboring neurons, a phenomenon called self/non-self discrimination. The functional roles of these processes remain unknown. In this study, we used retinal starburst amacrine cells (SACs), critical components of a direction-selective circuit, to address this issue. In SACs, both processes are mediated by the gamma-protocadherins (Pcdhgs), a family of 22 recognition molecules. We manipulated Pcdhg expression in SACs and recorded from them and their targets, direction-selective ganglion cells (DSGCs). SACs form autapses when self-avoidance is disrupted and fail to form connections with other SACs when self/non-self discrimination is perturbed. Pcdhgs are also required to prune connections between closely spaced SACs. These alterations degrade the direction selectivity of DSGCs. Thus, self-avoidance, self/non-self discrimination, and synapse elimination are essential for proper function of a circuit that computes directional motion. DOI: http://dx.doi.org/10.7554/eLife.08964.001
Publication Generating and Imaging Multicolor Brainbow Mice
(Cold Spring Harbor Laboratory Press, 2011) Weissman, T. A.; Sanes, Joshua; Lichtman, Jeff; Livet, J.Visualizing the precise morphology of closely juxtaposed cells and their interactions can be highly informative, particularly when studying the complex organization of neuronal and glial networks in the nervous system. To this end, one can use optical approaches to image-distinct markers that are differentially distributed among the cells of interest, such as fluorescent proteins of various colors (XFPs). The Brainbow strategies use Cre/lox recombination to stochastically express two to four XFPs in a cellular population from a single promoter. Integration of multiple Brainbow transgene copies results in combinatorial expression of these XFPs, creating a wide range of hues. In the nervous system, the multicolor labeling thus generated can be used to distinguish adjacent neuronal or glial cells and to verify the identity of neuronal processes while tracing circuitry. This article describes the generation of Brainbow transgenes and mice as well as their use to image and digitally reconstruct nerve cells and their interactions in fixed samples. This method also holds potential for studies in other tissues and model organisms as well as live imaging in vivo.
Publication Developmental Bias in Cleavage-Stage Mouse Blastomeres
(Elsevier BV, 2013) Tabansky, Inna; Lenarcic, Alan; Draft, Ryan; Loulier, Karine; Keskin, Derin Benerci; Rosains, Jacqueline; Rivera-Feliciano, Jose; Lichtman, Jeff; Livet, Jean; Stern, Joel N H; Sanes, Joshua; Eggan, KevinBACKGROUND: The cleavage-stage mouse embryo is composed of superficially equivalent blastomeres that will generate both the embryonic inner cell mass (ICM) and the supportive trophectoderm (TE). However, it remains unsettled whether the contribution of each blastomere to these two lineages can be accounted for by chance. Addressing the question of blastomere cell fate may be of practical importance, because preimplantation genetic diagnosis requires removal of blastomeres from the early human embryo. To determine whether blastomere allocation to the two earliest lineages is random, we developed and utilized a recombination-mediated, noninvasive combinatorial fluorescent labeling method for embryonic lineage tracing. RESULTS: When we induced recombination at cleavage stages, we observed a statistically significant bias in the contribution of the resulting labeled clones to the trophectoderm or the inner cell mass in a subset of embryos. Surprisingly, we did not find a correlation between localization of clones in the embryonic and abembryonic hemispheres of the late blastocyst and their allocation to the TE and ICM, suggesting that TE-ICM bias arises separately from embryonic-abembryonic bias. Rainbow lineage tracing also allowed us to demonstrate that the bias observed in the blastocyst persists into postimplantation stages and therefore has relevance for subsequent development. CONCLUSIONS: The Rainbow transgenic mice that we describe here have allowed us to detect lineage-dependent bias in early development. They should also enable assessment of the developmental equivalence of mammalian progenitor cells in a variety of tissues.
Publication Protocadherins Mediate Dendritic Self-Avoidance in the Mammalian Nervous System
(Nature, 2012) Lefebvre, Julie L.; Kostadinov, Dimitar Vladimirov; Chen, Weisheng V.; Maniatis, Thomas; Sanes, JoshuaDendritic arbors of many neurons are patterned by a process called self-avoidance, in which branches arising from a single neuron repel each other. By minimizing gaps and overlaps within the arbor, self-avoidance facilitates complete coverage of a neuron’s territory by its neurites. Remarkably, some neurons that display self-avoidance interact freely with other neurons of the same subtype, implying that they discriminate self from non-self. Here, we demonstrate roles for the clustered protocadherins (Pcdhs) in dendritic self-avoidance and self/non-self discrimination. The Pcdh locus encodes ~60 related cadherin-like transmembrane proteins, at least some of which exhibit isoform-specific homophilic adhesion in heterologous cells and are expressed stochastically and combinatorially in single neurons. Deletion of all 22 Pcdhs in the mouse gamma subcluster (Pcdhgs) disrupts self-avoidance of dendrites in retinal starburst amacrine cells (SACs) and cerebellar Purkinje cells. Further genetic analysis of SACs showed that Pcdhgs act cell-autonomously during development, and that replacement of the 22 Pcdhgs with a single isoform restores self-avoidance. Moreover, expression of the same single isoform in all SACs decreases interactions among dendrites of neighboring SACs (heteroneuronal interactions). These results suggest that homophilic Pcdhg interactions between sibling neurites (isoneuronal interactions) generate a repulsive signal that leads to self-avoidance. In this model, heteroneuronal interactions are normally permitted because dendrites seldom encounter a matched set of Pcdhgs unless they emanate from the same soma. In many respects, our results mirror those reported for Dscam1 in Drosophila: this complex gene encodes thousands of recognition molecules that exhibit stochastic expression and isoform-specific interactions, and mediate both self-avoidance and self/non-self discrimination. Thus, although insect Dscams and vertebrate Pcdhs share no sequence homology, they appear to underlie similar strategies for endowing neurons with distinct molecular identities and patterning their arbors.
Publication NEW TOOLS FOR THE BRAINBOW TOOLBOX
(2013) Cai, Dawen; Cohen, Kimberly B.; Luo, Tuanlian; Lichtman, Jeff; Sanes, JoshuaIn a recently introduced transgenic multicolor labeling strategy called “Brainbow,” Cre-lox recombination is used to create a stochastic choice of expression among fluorescent proteins (XFPs), resulting in the indelible marking of mouse neurons with multiple, distinct colors. This method has been adapted to non-neuronal cells in mice and to neurons in fish and flies, but has yet to realize its full potential in the mouse brain. Here, we present several new lines of mice that overcome limitations of the initial lines and an adaptation of the method for use in adeno-associated viral (AAV) vectors. We also provide technical advice about how best to image Brainbow transgenes.