Cell Atlas Of The Chick Retina: Single Cell Profiling Identifies 150 Cell Types
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PROVIDER: PRJNA667705 | ENA |
REPOSITORIES: ENA
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Project description:Retinal structure and function have been studied in many vertebrate orders, but molecular characterization has been largely confined to mammals. Here, we used single-cell RNA sequencing (scRNA-seq) to generate a cell atlas of the chick retina. From ~40000 single cell transcriptomes, we identified ~150 cell types distributed among the six classes conserved across vertebrates – photoreceptor, horizontal, bipolar, amacrine, retinal ganglion and glial cells. To match molecular profiles to morphology, we adapted a method for CRISPR-based integration of reporters into selectively expressed genes. For Müller glia, we found that transcriptionally distinct cells were regionally localized along the anterior-posterior, dorsal-ventral and central-peripheral retinal axes. We also identified immature photoreceptor, horizontal cell and oligodendrocyte types that persist into late embryonic stages. Finally, we analyzed relationships among chick, mice and primate retinal cell types. Taken together, our results provide a foundation for anatomical, physiological, evolutionary, and developmental studies of the avian visual system.
2021-01-04 | GSE159107 | GEO
Project description:The microarray analysis was designed to test the effects of Hes5.3 siRNAs, Atoh7 siRNAs and non-targeting siRNAs on gene expression at the periphery of the expanding Hes5.3 domain in embryonic chick retina. For this microarray we collected retina samples 16 hours after electroporation to complete our previous analysis performed on samples collected 36 hours after RNA interference treatment (Chiodini et al., 2013).
2020-08-01 | GSE147258 | GEO
Project description:Retinal structure and function have been studied in many vertebrate orders, but molecular characterization has been largely confined to mammals. We used single-cell RNA sequencing (scRNA-seq) to generate a cell atlas of the chick retina. We identified 136 cell types plus 14 positional or developmental intermediates distributed among the six classes conserved across vertebrates - photoreceptor, horizontal, bipolar, amacrine, retinal ganglion, and glial cells. To assess morphology of molecularly defined types, we adapted a method for CRISPR-based integration of reporters into selectively expressed genes. For Müller glia, we found that transcriptionally distinct cells were regionally localized along the anterior-posterior, dorsal-ventral, and central-peripheral retinal axes. We also identified immature photoreceptor, horizontal cell, and oligodendrocyte types that persist into late embryonic stages. Finally, we analyzed relationships among chick, mouse, and primate retinal cell classes and types. Our results provide a foundation for anatomical, physiological, evolutionary, and developmental studies of the avian visual system.
| S-EPMC7837701 | biostudies-literature
Project description:As the light-sensing part of the visual system, the retina is comprised of five classes of neurons, including photoreceptors, horizontal, amacrine, bipolar, and retinal ganglion cells, along with several non-neuronal cell types such as Muller glia. These major cell classes can be further classified into hundreds of distinct cell subtypes. The development of the retina is under tight temporal control where multipotent progenitor cells differentiate into specific mature cell types in a sequential, but overlapping, order. Additionally, the developmental process is under tight spatial control, with cells at the central retina developing earlier than cells at the periphery. To provide a comprehensive view of the human fetal retina at the molecular level and investigate transcriptional regulatory mechanisms controlling the differentiation process, we profiled more than 300,000 single nuclei of the human fetal retina from 12 donors spanning post conception week 10 and 23 with Multiome RNA-seq and ATAC-seq.
2024-05-30 | GSE268630 | GEO
Project description:The microarray analysis was designed to test the effects of HES5.3 siRNAs, Atoh7 siRNAs and nt siRNAs on gene expression in embryonic chick retina.
2013-03-01 | E-MTAB-1430 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below. As the light sensing part of the visual system, the human retina is composed of five classes of neuron, including photoreceptors, horizontal cells, amacrine, bipolar, and retinal ganglion cells. Each class of neuron can be further classified into subgroups with the abundance varying three orders of magnitude. Therefore, to capture all cell types in the retina and generate a complete single cell reference atlas, it is essential to scale up from currently published single cell profiling studies to improve the sensitivity. In addition, to gain a better understanding of gene regulation at single cell level, it is important to include sufficient scATAC-seq data in the reference. To fill the gap, we performed snRNA-seq and snATAC-seq for the retina from healthy donors. To further increase the size of the dataset, we then collected and incorporated publicly available datasets. All data underwent a unified preprocessing pipeline and data integration. Multiple integration methods were benchmarked by scIB, and scVI was chosen. To harness the power of multiomics, snATAC-seq datasets were also preprocessed, and scGlue was used to generate co-embeddings between snRNA-seq and snATAC-seq cells. To facilitate the public use of references, we employ CELLxGENE and UCSC Cell Browser for visualization. By combining previously published and newly generated datasets, a single cell atlas of the human retina that is composed of 2.5 million single cells from 48 donors has been generated. As a result, over 90 distinct cell types are identified based on the transcriptomics profile with the rarest cell type accounting for about 0.01% of the cell population. In addition, open chromatin profiling has been generated for over 400K nuclei via single nuclei ATAC-seq, allowing systematic characterization of cis-regulatory elements for individual cell type. Integrative analysis reveals intriguing differences in the transcriptome, chromatin landscape, and gene regulatory network among cell class, subgroup, and type. In addition, changes in cell proportion, gene expression and chromatin openness have been observed between different gender and over age. Accessible through interactive browsers, this study represents the most comprehensive reference cell atlas of the human retina to date. As part of the human cell atlas project, this resource lays the foundation for further research in understanding retina biology and diseases.
2024-04-25 | GSE265801 | GEO
Project description:Here we perform massively parallel single-cell RNA sequencing (scRNA-seq) of human retinas using two independent platforms, and report the single-cell transcriptomic atlas of the human retina. Using a multi-resolution network-based analysis, we identify all major retinal cell types, and their corresponding gene expression signatures.
2019-09-21 | GSE137537 | GEO
Project description:Single cell RNA sequencing (scRNA-seq) has advanced the assessment of cellular heterogeneity at the single-cell resolution by identifying transcriptional similarities and differences. Data resources of scRNA-seq have been largely produced and extensively studied for the mouse retina. They serve as a powerful tool to study cellular components, transcriptome relationships, and regulatory mechanisms underlying various retinal diseases and biological processes. The large volume of mouse retinal scRNA-seq data has been released in separate repositories, limiting their widespread use in mouse retina communities. In this work, we are presenting a unified single-cell atlas for adult wild-type mouse retina using our in-house generated single-cell RNA-seq data complementing public datasets. The collected data account for over 323,000 single cells. After data integration, cell clustering, and cell type annotation, we have annotated 11 major classes and over 120 retinal cell types to form a unified single-cell reference for the mouse retina. To facilitate the public use of the reference, we have deposited it on CELLxGENE, UCSC Cell Browser, and Single Cell Portal for visualization and gene expression exploration. The unified atlas is also released to annotate new mouse retinal cells using scArches utilities. This unified reference serves an easy-to-use data resource of mouse retina communities.
2024-02-15 | GSE243413 | GEO
Project description:One-day old white Leghorn chicks were housed in brooders with a 12 hr light:dark cycle, using General Electric chroma 50 fluorescent lighting with irradiance of approximately 50μW/cm2 at chick eye level. They received Purina Chick Chow food and water ad libitum. At one week of age and at the onset of the light phase, the chicks were anesthetized with inhalation ether, and a unilateral translucent white plastic goggle was glued to the periorbital feathers to induce ipsilateral form-deprivation myopia, alternating between the left or right eye. After either 6 hrs (n=8) or 3 days (n=8) of goggle wear, the chicks were killed by decapitation. The enucleated eyes were opened at the equator, and the retina/RPE was dissected together from both the goggled and control eyes. The tissues were individually frozen and stored in liquid nitrogen until processed Keywords: Gene expression
2007-07-26 | GSE6543 | GEO
Project description:Here we perform massively parallel single-cell RNA sequencing (scRNA-seq) of human retinas using two independent platforms, and report the single-cell transcriptomic atlas of the human retina. Using a multi-resolution network-based analysis, we identify all major retinal cell types, and their corresponding gene expression signatures.
2019-09-23 | GSE137846 | GEO