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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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相关实验视频

Updated: Jun 4, 2025

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Published on: June 10, 2017

HIPSD&R-seq能够实现可扩展的基因组拷贝数和转录组分析.

Jan Otoničar^1,2,3, Olga Lazareva^4,5,6, Jan-Philipp Mallm^7,8

¹Group Genome Instability in Tumors, German Cancer Research Center (DKFZ), Heidelberg, Germany.

|December 19, 2024

概括

我们开发了HIPSD&R-seq,这是一种用于高通量单细胞DNA和RNA测序的可扩展测试. 这种方法有效地检测罕见的癌症克隆,同时分析成千上万的细胞.

关键词:

单细胞 DNA 测序单细胞副本编号配置文件一个单细胞多组体.

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Detection of Copy Number Alterations Using Single Cell Sequencing

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相关实验视频

Last Updated: Jun 4, 2025

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma

Published on: June 10, 2017

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
癌症研究癌症研究

背景情况:

单细胞DNA测序 (scDNA-seq) 对于理解体质癌症变异至关重要.
目前的scDNA-seq方法在吞吐量和与转录组测序的集成方面存在局限性.
存在需要可扩展,可访问的测试,以在单细胞水平上对DNA和RNA进行分析.

研究的目的:

引入HIPSD&R-seq (HIgh-throughPut单细胞DNA和Rna-seq),这是一种用于平行低覆盖DNA和RNA分析的新型试验.
为了证明HIPSD&R-seq试验的可扩展性和可访问性.
为了验证测试在检测罕见细胞群体的能力.

主要方法:

修改了10X Genomics平台,用于同时进行scATAC和多原子分析.
在单细胞中开发用于低覆盖率DNA和RNA测序的高通量试验.
应用组合索引来实现大规模的细胞概况.

主要成果:

在数千个细胞中,HIPSD&R-seq成功地平行分析了低覆盖率的DNA和RNA.
该试验在人类细胞模型和初级组织中证明了可行性.
使用HIPSD&R-seq方法有效检测到罕见的克隆.
组合索引允许对超过17000个细胞进行分析.

结论:

HIPSD&R-seq为单细胞DNA和RNA测序提供了一个可扩展,简单和可访问的解决方案.
该试验可以检测罕见的克隆,促进癌症基因组学研究.
HIPSD&R-seq集成了DNA和RNA分析,提供了全面的单细胞洞察力.