Revealing induced pluripotent stem cells' potential as a better alternative to embryonic stem cells for Parkinson's disease treatment based on single-cell RNA-seq

胚胎干细胞 诱导多能干细胞 干细胞 帕金森病 细胞生物学 生物 疾病 医学 病理 遗传学 基因
作者
Sen Zhang,Xing Jiang,Min Yan,Z. CHENG,Jun Bi,Qinglu Wang,Ying Luo,Xuewen Tian
出处
期刊:Brazilian Journal of Medical and Biological Research [Associação Brasileira de Divulgação Científica]
卷期号:57
标识
DOI:10.1590/1414-431x2024e13482
摘要

Both embryonic stem cells (ESCs) and the successful reprogramming of induced pluripotent stem cells (iPSCs) offer an unprecedented therapeutic potential for Parkinson's disease (PD), allowing for the replacement of depleted neurons in PD-affected brain regions, thereby achieving therapeutic goals. This study explored the differences in cell types between iPSCs and ESCs in the PD brain to provide a feasible theoretical basis for the improved use of iPSCs as a replacement for ESCs in treating PD. Signal cell RNA sequencing data and microarray data of ESCs and iPSCs were collected from the GEO database. scRNA-seq data were subjected to quality control, clustering, and identification using the Seurat R package to determine cell types and proportions in ESCs and iPSCs. Differential expression analysis was performed to identify differentially expressed genes between ESCs and iPSCs, and PPI network analysis was conducted using String. Based on scRNA-seq data, we identified 13 cell clusters in ESCs and 13 cell clusters in iPSCs. iPSCs were predominantly composed of immune cells and lacked astrocytes, neurons, and dopamine neurons compared to ESCs. iPSCs also exhibited lower cell type diversity compared to ESCs. At the gene level, iPSCs lacked key genes, such as TH and GAP43 for nerve growth and development. At the metabolic level, the difference between ESCs and iPSC was mainly reflected in nerve cells and was closely related to the tumor-proliferation signature. iPSCs can be promoted to differentiate into cell types closer to or even replace ESCs, providing a better therapeutic option for PD treatment.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
热心市民蚂蚱殿下完成签到,获得积分10
刚刚
忧郁的沁发布了新的文献求助10
刚刚
1秒前
超级龙猫完成签到,获得积分20
1秒前
夏初序完成签到,获得积分20
1秒前
HOMO完成签到,获得积分10
2秒前
ding应助健康的墨镜采纳,获得10
3秒前
Phineas发布了新的文献求助10
4秒前
5秒前
arniu2008应助夏初序采纳,获得20
5秒前
jaeger发布了新的文献求助10
5秒前
安详岱周发布了新的文献求助10
6秒前
7秒前
10秒前
奋斗的铅笔完成签到 ,获得积分10
10秒前
11秒前
机智麦片发布了新的文献求助10
11秒前
Kaylee发布了新的文献求助10
12秒前
香蕉觅云应助lcx采纳,获得10
12秒前
张坤发布了新的文献求助10
13秒前
可爱的函函应助Phineas采纳,获得10
13秒前
13秒前
cgq发布了新的文献求助10
14秒前
hj发布了新的文献求助10
15秒前
16秒前
安详岱周完成签到,获得积分20
16秒前
16秒前
友好的发夹完成签到,获得积分10
17秒前
怕孤单的凌瑶完成签到,获得积分10
17秒前
17秒前
搜集达人应助芒果椰椰采纳,获得10
17秒前
18秒前
小鲨鱼发布了新的文献求助10
19秒前
顽主发布了新的文献求助10
20秒前
微笑子慧完成签到,获得积分10
20秒前
21秒前
22秒前
ybf完成签到,获得积分10
23秒前
乐乐应助呵浅陌采纳,获得10
23秒前
小鸭嘎嘎发布了新的文献求助10
23秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7243200
求助须知:如何正确求助?哪些是违规求助? 8867526
关于积分的说明 18705744
捐赠科研通 6917411
什么是DOI,文献DOI怎么找? 3196524
关于科研通互助平台的介绍 2370105
邀请新用户注册赠送积分活动 2171177