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基于 10× 单细胞转录组测序技术的创伤后癫痫和遗传性癫痫的分子机制分析。

Molecular mechanism analyses of post-traumatic epilepsy and hereditary epilepsy based on 10× single-cell transcriptome sequencing technology.

机构信息

Department of Neurology, The Second Xiang-Ya Hospital of Central South University, Changsha, Hunan, China.

Department of Neurosurgery, The Second Xiang-Ya Hospital of Central South University, Changsha, Hunan, China.

出版信息

CNS Neurosci Ther. 2024 Apr;30(4):e14702. doi: 10.1111/cns.14702.

DOI:10.1111/cns.14702
PMID:38572804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10993349/
Abstract

BACKGROUND

Single-cell RNA sequencing analysis has been usually conducted on post-traumatic epilepsy (PET) and hereditary epilepsy (HE) patients; however, the transcriptome of patients with traumatic temporal lobe epilepsy has rarely been studied.

MATERIALS AND METHODS

Hippocampus tissues isolated from one patient with PTE and one patient with HE were used in the present study. Single cell isolates were prepared and captured using a 10× Genomics Chromium Single-Cell 3' kit (V3) according to the manufacturer's instructions. The libraries were sequenced on an Illumina NovaSeq 6000 sequencing system. Raw data were processed, and the cells were filtered and classified using the Seurat R package. Uniform Manifold Approximation and Projection was used for visualization. Differentially expressed genes (DEGs) were identified based on a p-value ≤0.01 and log fold change (FC) ≥0.25. Gene Ontology (GO, http://geneontology.org/) and KEGG (Kyoto Encyclopedia of Genes and Genomes, www.genome.jp/kegg) analyses were performed on the DEGs for enrichment analysis.

RESULTS

The reads obtained from the 10× genomic platform for PTE and HE were 39.56 M and 30.08 M, respectively. The Q30 score of the RNA reads was >91.6%. After filtering, 7479 PTE cells and 9357 HE cells remained for further study. More than 96.4% of the reads were mapped to GRCh38/GRCm38. The cells were differentially distributed in two groups, with higher numbers of oligodendrocytes (6522 vs. 2532) and astrocytes (133 vs. 52), and lower numbers of microglial cells (2242 vs. 3811), and neurons (3 vs. 203) present in the HE group than in the PTE group. The DEGs in four cell clusters were identified, with 25 being in oligodendrocytes (13 upregulated and 12 downregulated), 87 in microglia cells (42 upregulated and 45 downregulated), 222 in astrocytes (115 upregulated and 107 downregulated), and 393 in neurons (305 upregulated and 88 downregulated). The genes MTND1P23 (downregulated), XIST (downregulated), and RPS4Y1 (upregulated) were commonly expressed in all four cell clusters. The DEGs in microglial cells and astrocytes were enriched in the IL-17 signaling pathway.

CONCLUSION

Our study explored differences in cells found in a patient with PE compared to a patient with HE, and the transcriptome in the different cells was analyzed for the first time. Studying inflammatory and immune functions might be the best approach for investigating traumatic temporal lobe epilepsy in neurons.

摘要

背景

单细胞 RNA 测序分析通常在创伤后癫痫 (PET) 和遗传性癫痫 (HE) 患者中进行;然而,创伤性颞叶癫痫患者的转录组很少被研究。

材料和方法

本研究使用了一名 PTE 患者和一名 HE 患者的海马组织。根据制造商的说明,使用 10× Genomics Chromium Single-Cell 3'试剂盒 (V3) 制备和捕获单细胞分离物。文库在 Illumina NovaSeq 6000 测序系统上进行测序。使用 Seurat R 包处理原始数据,并过滤和分类细胞。采用一致流形逼近和投影进行可视化。基于 p 值≤0.01 和对数倍数变化 (FC)≥0.25,鉴定差异表达基因 (DEGs)。对 DEGs 进行基因本体论 (GO,http://geneontology.org/) 和京都基因与基因组百科全书 (KEGG,www.genome.jp/kegg) 分析,以进行富集分析。

结果

来自 10×基因组平台的 PTE 和 HE 的读数分别为 39.56M 和 30.08M。RNA 读数的 Q30 分数>91.6%。过滤后,7479 个 PTE 细胞和 9357 个 HE 细胞用于进一步研究。超过 96.4%的读数映射到 GRCh38/GRCm38。细胞在两组中差异分布,HE 组的少突胶质细胞 (6522 比 2532) 和星形胶质细胞 (133 比 52) 较多,微胶质细胞 (2242 比 3811) 和神经元 (3 比 203) 较少。在四个细胞簇中鉴定出差异表达基因,其中 25 个在少突胶质细胞中 (13 个上调,12 个下调),87 个在小胶质细胞中 (42 个上调,45 个下调),222 个在星形胶质细胞中 (115 个上调,107 个下调),393 个在神经元中 (305 个上调,88 个下调)。MTND1P23(下调)、XIST(下调)和 RPS4Y1(上调)基因在所有四个细胞簇中均有表达。小胶质细胞和星形胶质细胞中的差异表达基因在 IL-17 信号通路中富集。

结论

本研究探讨了与 HE 患者相比,PE 患者中发现的细胞差异,并首次分析了不同细胞中的转录组。研究炎症和免疫功能可能是研究神经元创伤性颞叶癫痫的最佳方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/409fed4b8857/CNS-30-e14702-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/534058781cbd/CNS-30-e14702-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/d272f2004394/CNS-30-e14702-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/409fed4b8857/CNS-30-e14702-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/534058781cbd/CNS-30-e14702-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/dbeeddd455ae/CNS-30-e14702-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/433c684522d1/CNS-30-e14702-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4a/10993349/81a5694f71bd/CNS-30-e14702-g001.jpg
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