A harmonized atlas of spinal cord cell types and their computational classification
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ABSTRACT:
PROVIDER: PRJNA665041 | ENA |
REPOSITORIES: ENA
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Project description:Single cell sequencing is transforming many fields of science but the vast amount of data it creates has the potential to both illuminate and obscure underlying biology. To harness the exciting potential of single cell data for the study of the mouse spinal cord, we have created a harmonized atlas of spinal cord transcriptomic cell types that unifies six independent and disparate studies into one common analysis. With the power of this large and diverse dataset, we reveal spinal cord cell type organization, validate a combinatorial set of markers for in-tissue spatial gene expression analysis, and optimize the computational classification of spinal cord cell types based on transcriptomic data. This work provides a comprehensive resource with unprecedented resolution of spinal cord cell types and charts a path forward for how to utilize transcriptomic data to expand our knowledge of spinal cord biology.
2020-12-31 | GSE158380 | GEO
Project description:Despite the recognized importance of the spinal cord in sensory processing, motor behaviors, and/or neural diseases, the underlying organization of neuronal clusters remain elusive. Recently, several studies have attempted to define the neuronal types and functional heterogeneity in the spinal cord using single-cell and/or single-nucleus RNA-sequencing in various animal models. However, molecular evidence of neuronal heterogeneity in the human spinal cord has not yet been established. Here, we sought to classify spinal cord neurons from human donors using high-throughput single-nucleus RNA-sequencing. The functional heterogeneity among the identified cell types and signaling pathways that connect neuronal subtypes were explored. Moreover, we compared the transcriptional patterns obtained in human samples with previously published single-cell transcriptomic profiles of the mouse spinal cord. As a result, we generated the first comprehensive transcriptomic atlas of human spinal cord neurons and defined 18 neuronal clusters. In addition to identifying new and functionally distinct neuronal subtypes, our results also provide novel marker genes for previously described neuronal types. The comparison with mouse transcriptomic profiles revealed an overall similarity in the cellular composition of the spinal cord between the two species, while simultaneously highlighting some degree of heterogeneity. In summary, these results illustrate the complexity and diversity of neuronal types in the human spinal cord and provide an important resource for future research to explore the molecular mechanisms underlying spinal cord physiology and diseases.
2022-11-07 | GSE188255 | GEO
Project description:After spinal cord injury, tissue distal to the lesion contains undamaged cells that could support or augment recovery. Targeting these cells requires a clearer understanding of their injury responses and capacity for repair. Here, we use single nucleus RNA sequencing to profile how each cell type in the lumbar spinal cord changes after a thoracic injury in mice. We present an atlas of these dynamic responses across dozens of cell types in the acute, subacute, and chronically injured spinal cord. Using this resource, we find rare spinal neurons that express a signature of regeneration in response to injury, including a major population that represent spinocerebellar projection neurons. We characterize these cells anatomically and observed axonal sparing, outgrowth, and remodeling in the spinal cord and cerebellum. Together, this work provides a key resource for studying cellular responses to injury and uncovers the spontaneous plasticity of spinocerebellar neurons, uncovering a potential candidate for targeted therapy.
2022-08-01 | GSE172167 | GEO
Project description:The human spinal cord contains diverse cell types, governed by a series of spatiotemporal events for tissue assembly and functions. However, the regulation of cell fate specification in the human developing spinal cord remains largely unknown. By performing single-cell and spatial multi-omics methods, we integrated the datasets and created a comprehensive human developmental atlas of the first trimester spinal cord. Unexpectedly, we discovered unique events in human spinal cord development, including early loss of active neural stem cells, simultaneous occurrence of neurogenesis and gliogenesis, and distinct spatiotemporal genetic regulations of fate choices. We also identified distinct regulations of cancer stem cells in ependymomas from our atlas. Thus, we demonstrate spatiotemporal genetic regulation of human spinal cord development and its potential to understand novel disease mechanisms.
2023-04-25 | GSE219121 | GEO
Project description:The human spinal cord contains diverse cell types, governed by a series of spatiotemporal events for tissue assembly and functions. However, the regulation of cell fate specification in the human developing spinal cord remains largely unknown. By performing single-cell and spatial multi-omics methods, we integrated the datasets and created a comprehensive human developmental atlas of the first trimester spinal cord. Unexpectedly, we discovered unique events in human spinal cord development, including early loss of active neural stem cells, simultaneous occurrence of neurogenesis and gliogenesis, and distinct spatiotemporal genetic regulations of fate choices. We also identified distinct regulations of cancer stem cells in ependymomas from our atlas. Thus, we demonstrate spatiotemporal genetic regulation of human spinal cord development and its potential to understand novel disease mechanisms.
2023-04-25 | GSE219120 | GEO
Project description:Despite the recognized importance of the spinal cord in sensory processing, motor behaviors, and neural diseases, the underlying organization of neuronal clusters and their spatial location remain elusive. Recently, several studies have attempted to define the neuronal types and functional heterogeneity in the spinal cord using single-cell or single-nucleus RNA sequencing in animal models or developing humans. However, molecular evidence of cellular heterogeneity in the adult human spinal cord is limited. Here, we classified spinal cord neurons into 21 subclusters and determined their distribution from nine human donors using single-nucleus RNA sequencing and spatial transcriptomics. Moreover, we compared the human findings with previously published single-nucleus data of the mouse adult spinal cord, which revealed an overall similarity in the neuronal composition of the spinal cord between the two species while simultaneously highlighting some degree of heterogeneity. Additionally, we examined the sex differences in the spinal neuronal subclusters. Several genes, such as SCN10A and HCN1, showed sex differences in motor neurons. Finally, we classified human DRG neurons using spatial transcriptomics and explored the putative interactions between DRG and spinal cord neuronal subclusters. In summary, these results illustrate the complexity and diversity of spinal neurons in humans and provide an important resource for future research to explore the molecular mechanisms underlying spinal cord physiology and diseases.
2024-01-11 | GSE243074 | GEO
Project description:To understand the cellular basis of behavior, it is necessary to know the types of cells that exist in the nervous system and their contributions to function. Spinal cord networks are essential for sensory processing and motor behavior; however, the cellular correlates of these functions are not well understood. Here, we developed a massively parallel single nucleus RNA sequencing technique to first create a cell type atlas of the adult mouse spinal cord and then to use the transcriptional signatures of neuronal activity to map the cell types associated with specific behaviors. This approach, which we term Activity-SEQ, provided a broad and unbiased definition of the set of neuronal populations that were active in response to a painful stimulus and during locomotion. In the future, Activity-SEQ could provide a powerful strategy to reveal the molecular and cellular basis for a wide range of behaviors.
2018-02-02 | GSE103892 | GEO
Project description:Despite the recognized importance of the spinal cord in sensory processing, motor behaviors, and neural diseases, the underlying organization of neuronal clusters and their spatial location remain elusive. Recently, several studies have attempted to define the neuronal types and functional heterogeneity in the spinal cord using single-cell or single-nucleus RNA sequencing in animal models or developing humans. However, molecular evidence of cellular heterogeneity in the adult human spinal cord is limited. Here, we classified spinal cord neurons into 21 subclusters and determined their distribution from nine human donors using single-nucleus RNA sequencing and spatial transcriptomics. Moreover, we compared the human findings with previously published single-nucleus data of the mouse adult spinal cord, which revealed an overall similarity in the neuronal composition of the spinal cord between the two species while simultaneously highlighting some degree of heterogeneity. Additionally, we examined the sex differences in the spinal neuronal subclusters. Several genes, such as SCN10A and HCN1, showed sex differences in motor neurons. Finally, we classified human DRG neurons using spatial transcriptomics and explored the putative interactions between DRG and spinal cord neuronal subclusters. In summary, these results illustrate the complexity and diversity of spinal neurons in humans and provide an important resource for future research to explore the molecular mechanisms underlying spinal cord physiology and diseases.
2024-01-11 | GSE243076 | GEO
Project description:Adult zebrafish have the ability to recover from spinal cord injury and exhibit re-growth of descending axons from the brainstem to the spinal cord. We performed gene expression analysis using microarray to find damage-induced genes after spinal cord injury, which shows that Sox11b mRNA is up-regulated at 11 days after injury. However, the functional relevance of Sox11b for regeneration is not known. Here, we report that the up-regulation of Sox11b mRNA after spinal cord injury is mainly localized in ependymal cells lining the central canal and in newly differentiating neuronal precursors or immature neurons. Using an in vivo morpholino-based gene knockout approach, we demonstrate that Sox11b is essential for locomotor recovery after spinal cord injury. In the injured spinal cord, expression of the neural stem cell associated gene, Nestin, and the proneural gene Ascl1a (Mash1a), which are involved in the self-renewal and cell fate specification of endogenous neural stem cells, respectively, is regulated by Sox11b. Our data indicate that Sox11b promotes neuronal determination of endogenous stem cells and regenerative neurogenesis after spinal cord injury in the adult zebrafish. Enhancing Sox11b expression to promote proliferation and neurogenic determination of endogenous neural stem cells after injury may be a promising strategy in restorative therapy after spinal cord injury in mammals. Spinal cord injury or control sham injury was performed on adult zebrafish. After 4, 12, or 264 hrs, a 5 mm segment of spinal cord was dissected and processed (as a pool from 5 animals) in three replicate groups for each time point and treatment.
2010-10-19 | E-GEOD-20460 | biostudies-arrayexpress