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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: Jul 17, 2025

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

条形码多重位移放大用于空间基因组学中的高覆盖测序.

Jinhyun Kim¹, Sungsik Kim², Huiran Yeom³

¹Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Republic of Korea.

Nature communications

|August 29, 2023

概括

此摘要是机器生成的。

条形码多重位移放大 (bMDA) 通过同时对多个样本进行高覆盖度DNA分析来增强空间基因组学. 这种可扩展的技术有助于理解特定组织微环境中的癌细胞进化.

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Competitive Genomic Screens of Barcoded Yeast Libraries

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Published on: August 11, 2011

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

相关实验视频

Last Updated: Jul 17, 2025

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Competitive Genomic Screens of Barcoded Yeast Libraries

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

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

科学领域:

基因组学就是基因组学.
癌症研究癌症研究
分子生物学分子生物学

背景情况:

了解瘤内遗传突变的空间分布对于破译细胞异质性和瘤进化至关重要.
像多重位移放大 (MDA) 这样的现有方法提供了高基因组覆盖率,但缺乏大型空间基因组研究的多重复合能力.

研究的目的:

引入带条码的多重位移放大 (bMDA),这是一种用于对低输入DNA进行高覆盖基因组分析的新技术,具有增强的多重复合能力.
通过简化图书馆准备用于同时分析多个样本来克服空间基因组学的瓶.

主要方法:

开发和实施条形码多重位移放大 (bMDA),将单元条形码直接集成到MDA过程中.
用bMDA应用于三阴性乳腺癌组织进行综合空间分析.
综合分析基因组变化,包括拷贝数变化,单核酸变化,结构变化和空间微小区内的kataegis签名.

主要成果:

bMDA成功地从低输入的DNA样本中实现了高覆盖率的基因组分析.
该技术显著提高了多重复合能力,使多个空间区域的同时分析成为可能.
对三阴性乳腺癌的综合空间分析揭示了不同微观领域内的亚克隆进化关系.

结论:

bMDA是一种可扩展的技术,可以克服当前空间基因组学方法的关键局限性.
这种方法可以在空间背景下对基因组变化和亚克隆架构进行详细的评估.
bMDA具有显著的潜力,可以推进空间基因组学和癌症研究领域.