Mini-Review: Induced pluripotent stem cells and the search for new cell-specific ALS therapeutic targets

诱导多能干细胞 神经科学 肌萎缩侧索硬化 生物 疾病 药物发现 干细胞 电池类型 机制(生物学) 神经系统 神经干细胞 体细胞 细胞 胚胎干细胞 医学 生物信息学 病理 细胞生物学 认识论 哲学 基因 生物化学 遗传学
作者
Laura Ferraiuolo,Nicholas J. Maragakis
出处
期刊:Neuroscience Letters [Elsevier]
卷期号:755: 135911-135911 被引量:24
标识
DOI:10.1016/j.neulet.2021.135911
摘要

Amongst the most important discoveries in ALS pathobiology are the works demonstrating that multiple cell types contribute to disease onset and progression. However, a significant limitation in ALS research is the inability to obtain tissues from ALS patient brain and spinal cord during the course of the disease. In vivo modeling has provided insights into the role of these cell subtypes in disease onset and progression. However, in vivo models also have shortcomings, including the reliance on a limited number of models based upon hereditary forms of the disease. Therefore, using human induced pluripotent stem cells (iPSC) reprogrammed from somatic cells of ALS patients, with both hereditary and sporadic forms of the disease, and differentiated into cell subtypes of both the central nervous system (CNS) and peripheral nervous system (PNS), have become powerful complementary tools for investigating basic mechanisms of disease as well as a platform for drug discovery. Motor neuron and other neuron subtypes, as well as non-neuronal cells have been differentiated from human iPSC and studied for their potential contributions to ALS pathobiology. As iPSC technologies have advanced, 3D modeling with multicellular systems organised in microfluidic chambers or organoids are the next step in validating the pathways and therapeutic targets already identified. Precision medicine approaches with iPSC using either traditional strategies of screening drugs that target a known pathogenic mechanism as well as "blind-to-target" drug screenings that allow for patient stratification based on drug response rather than clinical characteristics are now being employed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
舒服的远望完成签到,获得积分10
2秒前
NAZHA完成签到,获得积分10
3秒前
Three完成签到 ,获得积分10
3秒前
能量球完成签到,获得积分10
3秒前
1111发布了新的文献求助10
4秒前
lili完成签到,获得积分10
4秒前
5秒前
leslie应助肚子饿了采纳,获得10
5秒前
6秒前
7秒前
cyan完成签到,获得积分10
7秒前
一介尘埃完成签到 ,获得积分10
7秒前
沉静海安发布了新的文献求助10
8秒前
傲慢与偏见zz应助suogeob采纳,获得10
8秒前
8秒前
JamesPei应助开放的可冥采纳,获得10
8秒前
juziyaya应助sweetfly采纳,获得30
9秒前
完美世界应助cindy采纳,获得10
10秒前
韩寒发布了新的文献求助10
10秒前
10秒前
陈俊辉发布了新的文献求助10
12秒前
Yeung发布了新的文献求助10
13秒前
juziyaya应助王景采纳,获得30
13秒前
孔涛完成签到,获得积分20
13秒前
xhd2814完成签到,获得积分20
16秒前
学术卡拉米应助废寝忘食采纳,获得20
17秒前
梓泽丘墟应助问津采纳,获得20
17秒前
灿烂sunfly完成签到,获得积分10
17秒前
18秒前
搜集达人应助zzzzzml采纳,获得10
18秒前
19秒前
19秒前
20秒前
陈俊辉完成签到,获得积分10
20秒前
Yeung完成签到,获得积分10
21秒前
21秒前
慕青应助鸣蜩阿六采纳,获得10
22秒前
yrt完成签到,获得积分10
22秒前
22秒前
JamesPei应助高刘田采纳,获得10
22秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Very-high-order BVD Schemes Using β-variable THINC Method 830
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3247916
求助须知:如何正确求助?哪些是违规求助? 2891121
关于积分的说明 8266358
捐赠科研通 2559345
什么是DOI,文献DOI怎么找? 1388162
科研通“疑难数据库(出版商)”最低求助积分说明 650698
邀请新用户注册赠送积分活动 627590