Single Cell Sequencing and Kidney Organoids Generated from Pluripotent Stem Cells

诱导多能干细胞 类有机物 计算生物学 电池类型 干细胞 计算机科学 胚胎干细胞 生物 细胞 细胞生物学 基因 遗传学
作者
Hao Wu,Benjamin D. Humphreys
出处
期刊:Clinical Journal of The American Society of Nephrology [Lippincott Williams & Wilkins]
卷期号:15 (4): 550-556 被引量:26
标识
DOI:10.2215/cjn.07470619
摘要

Methods to differentiate human pluripotent stem cells into kidney organoids were first introduced about 5 years ago, and since that time, the field has grown substantially. Protocols are producing increasingly complex three-dimensional structures, have been used to model human kidney disease, and have been adapted for high-throughput screening. Over this same time frame, technologies for massively parallel, single-cell RNA sequencing (scRNA-seq) have matured. Now, both of these powerful approaches are being combined to better understand how kidney organoids can be applied to the understanding of kidney development and disease. There are several reasons why this is a synergistic combination. Kidney organoids are complicated and contain many different cell types of variable maturity. scRNA-seq is an unbiased technology that can comprehensively categorize cell types, making it ideally suited to catalog all cell types present in organoids. These same characteristics also make scRNA-seq a powerful approach for quantitative comparisons between protocols, batches, and pluripotent cell lines as it becomes clear that reproducibility and quality can vary across all three variables. Lineage trajectories can be reconstructed using scRNA-seq data, enabling the rational adjustment of differentiation strategies to promote maturation of desired kidney cell types or inhibit differentiation of undesired off-target cell types. Here, we review the ways that scRNA-seq has been successfully applied in the organoid field and predict future applications for this powerful technique. We also review other developing single-cell technologies and discuss how they may be combined, using “multiomic” approaches, to improve our understanding of kidney organoid differentiation and usefulness in modeling development, disease, and toxicity testing.
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
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
刚刚
1秒前
1秒前
小赵发布了新的文献求助10
1秒前
至一完成签到,获得积分10
1秒前
徐丑发布了新的文献求助10
1秒前
2秒前
pathway完成签到,获得积分10
2秒前
年轻的丹亦完成签到,获得积分10
2秒前
2秒前
开朗含海发布了新的文献求助10
2秒前
犹豫的曼卉完成签到,获得积分20
2秒前
lllll完成签到,获得积分10
2秒前
天真的念烟完成签到,获得积分10
2秒前
听海余温发布了新的文献求助10
3秒前
穆泽发布了新的文献求助10
3秒前
佳银完成签到,获得积分10
3秒前
科目三应助苏苏采纳,获得10
3秒前
Owen应助西瓜籽籽采纳,获得10
3秒前
3秒前
cloudy90完成签到,获得积分10
4秒前
ymmmaomao23完成签到,获得积分10
4秒前
4秒前
小鹅完成签到,获得积分10
4秒前
4秒前
sagitar给浪客剑心的求助进行了留言
4秒前
4秒前
4秒前
5秒前
旸羽完成签到,获得积分10
5秒前
Bdk发布了新的文献求助10
5秒前
笨笨骁发布了新的文献求助10
5秒前
Lwssss发布了新的文献求助10
6秒前
张均旗发布了新的文献求助10
6秒前
6秒前
充电宝应助爱吃地锅鱼采纳,获得10
6秒前
6秒前
7秒前
7秒前
7秒前
高分求助中
(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
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 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 7356489
求助须知:如何正确求助?哪些是违规求助? 8967124
关于积分的说明 19053137
捐赠科研通 7004062
什么是DOI,文献DOI怎么找? 3222302
关于科研通互助平台的介绍 2386476
邀请新用户注册赠送积分活动 2202850