Dataset Information

Development and diversification of retinal amacrine interneurons at single cell resolution.

ABSTRACT: The vertebrate retina uses diverse neuronal cell types arrayed into complex neural circuits to extract, process, and relay information from the visual scene to the higher order processing centers of the brain. Amacrine cells, a class of interneurons, are thought to mediate much of the processing of the visual signal that occurs within the retina. Although amacrine cells display extensive morphological diversity, the molecular nature of this diversity is largely unknown. Furthermore, it is not known how this diversity arises during development. Here, we have combined in vivo genetic labeling, single cell genome-wide expression profiling, and classical birthdating to (i) identify specific molecular types of amacrine cells, (ii) demonstrate the molecular diversity of the amacrine cell class, and (iii) show that amacrine cell diversity arises at least in part through temporal patterning.

SUBMITTER: Cherry TJ

PROVIDER: S-EPMC2686638 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature

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Publications

Development and diversification of retinal amacrine interneurons at single cell resolution.

Cherry Timothy J TJ Trimarchi Jeffrey M JM Stadler Michael B MB Cepko Constance L CL

Proceedings of the National Academy of Sciences of the United States of America 20090526 23

The vertebrate retina uses diverse neuronal cell types arrayed into complex neural circuits to extract, process, and relay information from the visual scene to the higher order processing centers of the brain. Amacrine cells, a class of interneurons, are thought to mediate much of the processing of the visual signal that occurs within the retina. Although amacrine cells display extensive morphological diversity, the molecular nature of this diversity is largely unknown. Furthermore, it is not kn ...[more]

PMID: 19470466

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Project description:The vertebrate retina uses diverse neuronal cell types arrayed into complex neural circuits to extract, process and relay information from the visual scene to the higher order processing centers of the brain. Amacrine cells, a diverse class of inhibitory interneurons, are thought to mediate the majority of the processing of the visual signal that occurs within the retina. Despite morphological characterization, the number of known molecular markers of amacrine cell types is still much smaller than the 26 morphological types that have been identified. Furthermore, it is not known how this diversity arises during development. Here, we have combined in vivo genetic labeling and single cell genome-wide expression profiling to: 1) Identify specific molecular types of amacrine cells; 2) Demonstrate the molecular diversity of the amacrine cell class. It is difficult to identify new markers of amacrine cells, due to the fact that they only comprise a small percentage of the total cells in the retina. Additionally, given that there are at least 26 distinct types of amacrine cells, population based approaches fail to achieve the precision necessary to discover markers of each type. To facilitate the identification of new markers for different amacrine cell classes and to more fully characterize the molecular signatures of these classes, we isolated single amacrine cells. To accomplish this goal, we introduced genetic reporters (pNdrg4::GFP or pSynapsin::GFP) into the developing retina (P0) by either in vivo or ex vivo electroporation. These reporters were observed to label morphologically distinct sets of amacrine cells at the different timepoints harvested in this study. Electroporated retinas were then dissociated at different time points and single retinal amacrine cells were isolated by virtue of their GFP expression and placed in tubes containing lysis buffer. Then, their mRNAs were reverse transcribed, and the resulting cDNAs were PCR amplified for 35 cycles. Labeled cDNA samples were hybridized to Affymetrix 430 2.0 microarrays and the data was normalized using MAS5.0 software.

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 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 expressed 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 morphologic analyses, they establish the existence of at least 130 neuronal types and nearly 140 cell types in the mouse retina.SIGNIFICANCE STATEMENT The mouse retina is a leading model for analyzing the development, structure, function, and pathology of neural circuits. A complete molecular atlas of retinal cell types provides an important foundation for these studies. We used high-throughput single-cell RNA sequencing to characterize the most heterogeneous class of retinal interneurons, amacrine cells, identifying 63 distinct types. The atlas includes types identified previously as well as many novel types. We provide evidence for the use of multiple neurotransmitters and neuropeptides, and identify transcription factors expressed by groups of closely related types. Combining these results with those obtained previously, we proposed that the mouse retina contains ∼130 neuronal types and is therefore comparable in complexity to other regions of the brain.

Dataset Information

Development and diversification of retinal amacrine interneurons at single cell resolution.

Publications

Development and diversification of retinal amacrine interneurons at single cell resolution.

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