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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Updated: Jun 16, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

UDA-seq:基于微流体的普遍滴滴组合索引,用于大规模的多模式单细胞测序.

Yun Li^1,2,3, Zheng Huang^1,2,3, Lubin Xu⁴

¹China National Center for Bioinformation, Beijing, China.

|January 20, 2025

概括

UDA-seq是使用滴滴微流体学进行单细胞多式序列的通用工作流. 这种方法通过能够对多种细胞类型和临床样本进行可靠的分析来提高吞吐量和临床适用性.

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Last Updated: Jun 16, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

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Published on: January 10, 2019

科学领域:

单细胞基因组学单细胞基因组学
生物技术是生物技术.
微流体学微流体学

背景情况:

滴滴微流体能够实现可扩展的单细胞测序,但通常需要特定的模式协议,阻碍自动化和临床使用.
现有的方法缺乏统一的方法来整合多样化的单细胞数据.
量身定制的协议限制了当前单细胞多模式测序的自动化潜力和临床适用性.

研究的目的:

开发一个通用的工作流程,UDA-seq,用于可适应和高通量单细胞多式联络测序.
通过整合后索引步骤来克服现有方法的局限性,以提高兼容性.
为了从临床样本中实现强大的和可扩展的多式单细胞分析.

主要方法:

UDA-seq采用了一种通用工作流程,用于基于滴滴的单细胞多式定量测试的后索引步骤.
该方法在各种组织和细胞类型中进行了对RNA,VDJ,染色质和CRISPR扰动联合测试的基准测试.
从使用单通道滴滴微流体的临床活检样本生成单细胞数据集的高通量生成.

主要成果:

UDA-seq成功地从临床活检中生成了超过10万个高质量的单细胞数据集.
该工作流在常见的多式联络分析中表现出稳健性,包括RNA-VDJ,RNA-染色素和RNA-CRISPR.
确定了与临床表型相关的罕见细胞亚群,并探索了癌细胞的脆弱性.

结论:

UDA-seq为单细胞多式联络分析提供了一个通用,可扩展和强大的平台.
该工作流显著提高了基于滴滴测序的吞吐量和临床适用性.
UDA-seq通过分析罕见细胞群和癌症脆弱性来促进临床研究中的发现.