Project description:We report an approach called physiological optical tagging sequencing (PhOTseq), a technique for tagging cells based on their functional properties and then harvesting them for RNA sequencing. We demonstrate that PhOTseq is capable of selecting physiologically rare ( < 0.2%) cell types and enriching them by nearly one hundred-fold.
Project description:Translational profiling methodologies enable the systematic characterization of cell types in complex tissues such as the mammalian brain, where neuronal isolation is exceptionally difficult. Here, we report a versatile strategy to profile CNS cell types in a spatiotemporally-restricted fashion by engineering a Cre-dependent adeno-associated virus expressing an EGFP-tagged ribosomal protein (AAV-FLEX-EGFPL10a) to access translating mRNAs by TRAP. We demonstrate the utility of this AAV to target a variety of genetically and anatomically defined neural populations expressing Cre recombinase and illustrate the ability of this viral TRAP (vTRAP) approach to recapitulate the molecular profiles obtained by bacTRAP in corticothalamic neurons across multiple serotypes. Furthermore, spatially restricting AAV injections enabled the elucidation of regional differences in gene expression within this cell type. Taken together, these results establish the broad applicability of the vTRAP strategy for the molecular dissection of any CNS or peripheral cell type that can be engineered to express Cre.
Project description:Droplet-based single cell RNA sequencing (scRNA-seq) to classify molecularly distinct neuronal and non-neuronal cell types in the mouse ventral posterior hypothalamus. Cluster analysis of >16,000 single cells revealed 20 neuronal and 18 non-neuronal cell populations, defined by suites of discriminatory markers. We validated differentially expressed genes in a selection of neuronal populations through fluorescence in situ hybridization (FISH). Focusing on the mammillary nuclei, we discovered transcriptionally-distinct clusters that broadly align with neuroanatomical compartments. This single cell transcriptomic analysis of cell types in the VPH provides a resource for interrogating the circuit-level mechanisms underlying the diverse functions of VPH circuits in health and disease.
Project description:Amacrine cells (ACs) are a diverse class of interneurons that modulate input from photoreceptors to retinal ganglion cells (RGCs), rendering each RGC type selectively sensitive to particular visual features, which are then relayed to the brain. While many AC types have been identified morphologically and physiologically, they have not been comprehensively classified or molecularly characterized. We used high-throughput single-cell RNA sequencing (scRNA-seq) to profile >32,000 ACs from mice of both sexes, and applied computational methods to identify 63 AC types. We identified molecular markers for each type, and used them to characterize the morphology of multiple types. We show that they include nearly all previously known AC types as well as many that had not been described. Consistent with previous studies, most of the AC types expressed markers for the canonical inhibitory neurotransmitters GABA or glycine, but several expressed neither or both. In addition, many expressed one or more neuropeptides, and two express glutamatergic markers. We also explored transcriptomic relationships among AC types and identified transcription factors expressed by individual or multiple closely related types. Noteworthy among these were Meis2 and Tcf4, expressed by most GABAergic and most glycinergic types, respectively. Together, these results provide a foundation for developmental and functional studies of ACs, as well as means for genetically accessing them. Along with previous molecular, physiological and morphological analyses, they establish the existence of at least 130 neuronal types and nearly 140 cell types in mouse retina.
Project description:The generation of specific types of neurons from stem cells offers important opportunities in regenerative medicine. However, future applications and proper verification of cell identities will require stringent ways to generate homogenous neuronal cultures. Here we show that under permissive culturing conditions individual transcription factors can induce a desired neuronal lineage from virtually all expressing cells by a mechanism resembling developmental binary cell fate switching. Such efficient selection of cell fate resulted in remarkable cellular enrichment that enabled global gene expression validation of generated neurons and identification of novel features in the studied cell lineages. Several sources of stem cells have a limited competence to differentiate into e.g. dopamine neurons. However, we show that the combination of factors that normally promote either regional or dedicated neuronal specification can overcome limitations in cellular competence and promote efficient reprogramming also in more remote neural contexts, including human neural progenitor cells. We used microarray analysis to verify the identity of several mESC derived neuronal cell types. By genome-wide gene expression comparisons we gained novel insights into molecular properties of several clinical relevant neuronal cell types. Total RNA was extracted from wild-type and transcription-factor induced mESC derived post-mitotic neurons and hybridized on Affymetrix arrays. In total triplicates of 9 different samples were analyzed. Wild-type samples served as control samples.
Project description:Cephalopods have a remarkable visual system, with a camera-type eye, high acuity vision, and a wide range of sophisticated visual behaviors. However, the cephalopod brain is organized dramatically differently from that of vertebrates, as well as other invertebrates, and little is known regarding the cell types and molecular determinants of their visual system organization beyond neuroanatomical descriptions. Here we present a comprehensive single-cell molecular atlas of the octopus optic lobe, which is the primary visual processing structure in the cephalopod brain. We combined single-cell RNA sequencing with RNA fluorescence in situ hybridization to both identify putative molecular cell types and determine their anatomical and spatial organization within the optic lobe. Our results reveal six major neuronal cell classes identified by neurotransmitter/neuropeptide usage, in addition to non-neuronal and immature neuronal populations. Moreover, we find that additional markers divide these neuronal classes into subtypes with distinct anatomical localizations, revealing cell type diversity and a detailed laminar organization within the optic lobe. We also delineate the immature neurons within this continuously growing tissue into subtypes defined by evolutionarily conserved fate specification genes as well as novel cephalopod- and octopus- specific genes. Together, these findings outline the organizational logic of the octopus visual system, based on functional determinants, laminar identity, and developmental markers/pathways. The resulting atlas presented here delineates the “parts list” of the neural circuits used for vision in octopus, providing a platform for investigations into the development and function of the octopus visual system as well as the evolution of visual processing.
Project description:Neurons modify their molecular profiles in response to an animal’s experience. How specific experiences are transduced to modulate gene expression and precisely tune neuronal functions are not fully defined. Here, we describe the molecular profile of a thermosensory neuron pair in C. elegans experiencing different temperature stimuli. We find that distinct salient features of the temperature stimulus including its duration, magnitude of change, and absolute value are encoded in the gene expression program in this single neuron, and identify a novel transmembrane protein and a transcription factor whose specific transcriptional dynamics are essential to drive neuronal, behavioral, and developmental plasticity. Expression changes are driven by broadly expressed activity-dependent transcription factors and corresponding cis-regulatory elements that nevertheless direct neuron- and stimulus-specific gene expression programs. Our results indicate that coupling of defined stimulus characteristics to the gene regulatory logic in individual specialized neuron types can customize neuronal properties to drive precise behavioral adaptation.