Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-nucleus transcriptomic atlas of spinal cord neuron in human

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE188255 | GEO | 2022/11/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Spatial transcriptomics and single-nucleus RNA-sequencing reveal a transcriptomic atlas of human spinal cord [Spinal snRNA-seq]

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

Spatial transcriptomics and single-nucleus RNA-sequencing reveal a transcriptomic atlas of human spinal cord [Spinal spatial]

2024-01-11 | GSE243074 | GEO

Spatial transcriptomics and single-nucleus RNA-sequencing reveal a transcriptomic atlas of human spinal cord [DRG Spatial]

2024-01-11 | GSE243073 | GEO

Single-cell transcription mapping of neural subtype development in human spinal cord

Project description:The spinal cord possesses precise neural circuitry to transmit messages between the brain and body. Detailed transcriptomic profiling of the developing human spinal cord has not been reported. Here, we performed single cell RNA sequencing of developing human spinal cord cells and compared these data with similar mouse spinal cord RNA sequencing datasets. The differentiation tendency of proliferative neural progenitor cells changed from neuronal to glial cells at gestational week (GW) 8 and we identified a diverse set of excitatory, inhibitory and motor neuron cell types. Human ventral neuronal differentiation occurred earlier than GW7, while DI4/5 interneurons are born between GW7–11. We identified glial cell molecular diversity and revealed that ependymal cell specification occurs before birth. We also demonstrate differences between human and mouse spinal cord, including unique cell subtypes, gene expression, neurotransmitter receptors, and glial differentiation timing. Our results offer insight into human spinal cord development.

2021-10-27 | GSE136719 | GEO

Human motor neurons are rare in the spinal cord and can be transcriptomically divided into known subtypes divided into known subtypes.

Project description:Motor neurons are a rare neuronal subtype in the adult spinal cord. We performed single-nucleus RNA sequencing on nuclei extracted from adult human spinal cord and describe the transcriptional heterogeneity.

2023-04-06 | GSE228778 | GEO

Single-nucleus transcriptomic profiles of glial cells in human dorsal root ganglion and spinal cord

Project description:Glial cells are present throughout the entire nervous system and paly a crucial role in regulating physiological and pathological functions, such as infections, acute injuries and chronic neurodegenerative disorders. The glial cells mainly include astrocytes, microglia, and oligodendrocytes in the central nervous system (CNS), and satellite glial cells (SGCs) in the peripheral nervous system (PNS). Although the glial subtypes and functional heterogeneity is relatively well understood in mice by recent studies using single-cell or single-nucleus RNA-sequencing, no evidence yet has elucidate the transcriptomic profiles of glia cells in PNS and CNS. Here, we used high-throughput single-nucleus RNA-sequencing to map the cellular and functional heterogeneity of SGCs in human dorsal root ganglion (DRG), and astrocytes, microglia, and oligodendrocytes in human spinal cord. In addition, we compared the human findings with previous single-nucleus transcriptomic profiles of glial cells from mouse DRG and spinal cord. This work will comprehensively profile glial cells heterogeneity and will provide a powerful resource for probing the cellular basis of human physiological and pathological conditions related to glial cells.

2022-02-24 | GSE189501 | GEO

Genome-wide analysis of three clonal neural stem cell lines derived from human foetal spinal cord tissue.

Project description:Stem cells have received substantial interest both for their potential as in vitro tools to study development and as potential therapeutic agents in a range of degenerative diseases of the nervous system. We have generated clonal neural stem cell lines from human foetal spinal cord conditionally immortalised with 4-hydroxy tamoxifen inducible cMyc (cMycERTAM), and performed a detailed assessment of their identity in terms of their expression of homeodomain transcription factors and their capacity to generate particular neuronal subtypes of the spinal cord. These lines retain a ventral spinal cord progenitor phenotype and give rise to electrically active neuronal subtypes characteristic of specific ventral progenitor subdomains. Upon grafting into lesioned rat spinal cord these cells differentiate into ChAT+ve motorneurons and show robust survival after 4 months. Total RNA was obtained from three proliferative undifferentiated neural stem cell lines at 75% confluence in culture. Two replicates of each clonal line were generated for microarray analysis.

2012-06-15 | E-GEOD-37282 | biostudies-arrayexpress

A harmonized atlas of spinal cord cell types and their computational classification

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

Genome-wide analysis of three clonal neural stem cell lines derived from human foetal spinal cord tissue.

2012-06-16 | GSE37282 | GEO

Heterogeneity analysis of astrocytes following spinal cord injury at single-cell resolution

Project description:Astrocytes play many important functions in response to spinal cord injury (SCI) in an activated manner, including clearance of necrotic tissue, formation of protective barrier, maintenance of microenvironment balance, interaction with immune cells, and formation of the glial scar. More and more studies have shown that the astrocytes are heterogeneous, such as inflammatory astrocyte 1 (A1) and neuroprotective astrocyte 2 (A2) types. However, the subtypes of astrocyte resulting from SCI have not been clearly defined. In this study, using single-cell RNA sequencing, we constructed the transcriptomic profile of astrocytes from uninjured spinal cord tissue and nearby the lesion epicenter at 0.5, 1, 3, 7, 14, 60, and 90 days after mouse hemisection spinal cord tissue. Our analysis uncovered six transcriptionally distinct astrocyte states, including Atp1b2+, S100a4+, Gpr84+, C3+/G0s2+, GFAP+/Tm4sf1+, and Gss+/Cryab+ astrocytes. We used these new signatures combined with canonical astrocyte markers to determine the distribution of morphological and physiologically distinct for each astrocyte population at injured sites by immunofluorescence staining. Then we identified the dynamic evolution process of each astrocyte subtype following SCI. Finally, we also revealed the evolution of highly expressed genes in these astrocyte subtypes at different phases of SCI. Together, we provided six astrocyte subtypes at single-cell resolution following SCI. These data not only contribute to understanding the heterogeneity of astrocytes during SCI but also help to find new astrocyte subtypes as a target for SCI repair.

2021-11-21 | GSE189070 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data