Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

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...

Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

Sanger Sequencing

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Large-scale, spatially resolved panoramic CRISPR screening in native tissue environments using Perturb-DBiT.

Nature biotechnology·2026

Same author

Spatially decoding genotype-associated epigenetic landscapes in human lymphoma FFPE tissues via epi-Patho-DBiT.

Nature communications·2026

Same author

Human Lymph Node Cellular Senescence Atlas Reveals Age-Dependent Alteration in Germinal Center B Cell Function and Niches.

bioRxiv : the preprint server for biology·2026

Same author

Single-cell spatial multi-omics molecular pathology enabled by SuperFocus.

bioRxiv : the preprint server for biology·2026

Same author

Beyond the Sequence: Chemical and Topological Design and Innovations in mRNA Therapeutics.

Chemical reviews·2026

Same author

SenNet Portal: Build, Optimization and Usage.

bioRxiv : the preprint server for biology·2026

Same journal

Co-option of lysosomal machinery shapes the evolution of the intracellular photosymbiosis supporting coral reefs.

Cell·2026

Same journal

LEF1 and niche factors determine T cell stemness across chronic diseases.

Cell·2026

Same journal

Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders.

Cell·2026

Same journal

Four-dimensional molecular mapping from a spatial snapshot reveals the dynamics of hair follicle organogenesis.

Cell·2026

Same journal

Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data.

Cell·2026

Same journal

Systematic discovery of pathogen effector functions across human pathogens and pathways.

Cell·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: Nov 30, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

通过组织中确定性条形码进行高空间分辨率多态序列化

Yang Liu¹, Mingyu Yang¹, Yanxiang Deng¹

¹Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA.

|November 14, 2020

概括

此摘要是机器生成的。

组织中的确定性条形编码用于空间奥米克测序 (DBiT-seq) 可以同时映射固定组织中的mRNA和蛋白质. 这种技术为各种生物研究应用提供高分辨率的空间数据.

关键词:

高空间分辨率在现场编码小鼠胚胎下一代测序空间多态学

更多相关视频

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

相关实验视频

Last Updated: Nov 30, 2025

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Multiplexed Barcoding Image Analysis for Immunoprofiling and Spatial Mapping Characterization in the Single-Cell Analysis of Paraffin Tissue Samples

Published on: April 7, 2023

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

科学领域:

空间奥米克
分子生物学
基因组学

背景情况:

空间奥米克技术对于理解组织架构和细胞异质性至关重要.
在高分辨率下同时绘制多个生物分子 (例如mRNA和蛋白质) 仍然是一个挑战.

研究的目的:

开发一种新的方法,即组织中的确定性条形码用于空间奥米克测序 (DBiT-seq),用于固定组织幻灯片中的mRNA和蛋白质的共同映射.
通过下一代测序 (NGS) 实现高分辨率的空间转录和蛋白质组.

主要方法:

DBiT-seq使用并行微流体通道将DNA条形码传递到组织滑块表面.
两个条形码集 (A和B) 的顺序传递和现场绑定为每个组织像素创建独特的二维条形码.
使用下一代测序 (NGS) 来读取空间数据.

主要成果:

在甲固定小鼠胚胎组织中,DBiT-seq成功地共映射了mRNA和蛋白质.
高分辨率地图显示器官生成过程中的主要组织类型以及微血管和有色表皮等细结构.
来自10μm像素的基因表达特征与单细胞转录组聚集在一起,使得细胞类型和空间分布的快速识别.

结论:

DBiT-seq提供了一个易于使用的空间学方法,可供没有微流体专业知识的研究人员使用.
这种技术在发育生物学,癌症生物学,神经科学和临床病理学方面具有广泛的应用.
DBiT-seq通过在现场进行综合多态分析来推进空间生物学领域.