Single nucleus RNAseq of mouse astrocytes after traumatic spinal cord injury
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1040813 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR26841339.fastq.gz | Fastqsanger.gz | |||
| SRR26841340.fastq.gz | Fastqsanger.gz | |||
| SRR26841341.fastq.gz | Fastqsanger.gz | |||
| SRR26841342.fastq.gz | Fastqsanger.gz | |||
| SRR26841343.fastq.gz | Fastqsanger.gz |
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Project description:We conducted snRNAseq of mouse astrocytes after traumatic spinal cord injury (SCI). These data reveal transcriptomic similarities and differences among astrocytes in healthy spinal cord and after spinal cord injury.
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Project description:Human astrocytes have reported to reprogram into neurons, but they have yet to be induced to three-dimensional (3D) neural tissue for neural organogenesis. Here, we demonstrate a remarkable strategy for 3D organoid generation by direct reprogramming human astrocytes. By combining overexpression OCT4, suppression p53 and small molecules CHIR99021, SB431542, RepSox and Y27632, termed as Op53-CSBRY, we successfully reprogramed human astrocytes into neural ectodermal cells and further induced human 3D-brain organoid. Those organoids can be finally induced into spinal cord organoids by activating FGF, SHH and BMP signaling. The grafts of Human astrocyte derived spinal cord organoids (hADSC-Organs) can survived, differentiated into spinal cord neurons, migrated long distance, formed synaptic connectivity with host neurons, bridged complete injury spinal cord tissue in mice. This method indicates that human astrocytes could be directly triggered neural organogenesis, and may hold a great promising to support local astrocytes in situ organogenesis after brain damages, such as stroke and spinal cord injury.
2024-02-01 | GSE168635 | GEO
Project description:Spinal cord injury (SCI) is a common but devastating trauma of the central nerve system. In this study, we reprogrammed cultured spinal-cord reactive astrocytes into neurons by Neurod1 expression. The mechanism of programmed conversion from astrocytes to neurons has not been clarified yet. Thus, we used label-free proteomics to identify differentially expressed proteins in Neurod1 over-expressed astrocytes and control group. A total of 1952 proteins were identified, including 92 significantly changed proteins. Among these proteins, 8 proteins were identified as candidates involving in the process of the reprogramming, based on their biological function and fold change in the bioinformatic analysis. Our study revealed that that Neurod1 can directly reprogram cultured spinal-cord reactive astrocytes into neurons, and several proteins that could play a significant role during the neuronal reprogramming were discovered.
2021-09-08 | PXD016097 | Pride
Project description:To determine whether the expression levels of circular RNAs were altered and lay a foundation for future work, we used high-throughput microarray analysis to screen circular RNAs expression patterns in the spinal cord of adult rats after traumatic spinal cord injury (SCI), finally to evaluate the potential rat models as a platform for the development of novel therapeutic targets for spinal cord injury in future clinical studies. Overall six rats at 3 days post-SCI in two groups were used to perform the microarray.
2018-05-15 | GSE114426 | GEO
Project description:In vivo analysis of gene expression changes in mouse astrocytes after traumatic spinal cord injury
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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.
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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.
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Project description:The goals of this study are to screen differential expression profiles of tRNA-Derived small RNAs (tsRNAs) in rats after traumatic spinal cord injury (SCI) using next-generation sequencing and qRT-PCR.As a result, in rat spinal cord 1 day after contusion, totally 297 tsRNAs differentially expressed were identified. 155 tsRNAs were significantly differentially expressed: 91 were significantly up-regulated, while 64 were significantly down-regulated after SCI (folding change>1.5; P<0.05).Next, four tsRNAs were selected to be verified by qRT-PCR. Taken together,this study explored, for the first time, the significant alteration of tsRNA expression profiles after traumatic SCI in rats and offered deep insights into many possible treatment targets of SCI by regulating tsRNAs.
2020-01-24 | GSE133157 | GEO
Project description:There is emerging evidence that astrocytes exhibit molecular and cellular heterogeneity; however, whether distinct subpopulations perform these diverse roles remains poorly defined. Previous studies used Aldhl1l1 as a bulk astrocyte marker. Here we show that the Lunatic Fringe-GFP (Lfng-GFP) bacteria artificial chromosome mouse line specifically labels astrocyte populations within lamina III and IV of the dorsal spinal cord. We compared the transcriptional profile of Lfng-GFP+ astrocytes with Aldh1l1-GFP astrocytes to identify what is unique about the astrocyte population.
2021-10-25 | GSE186410 | 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.
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