Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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...

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Direct probabilistic quantification of mosaic loss of chromosome Y from sequencing data.

bioRxiv : the preprint server for biology·2026

Same author

An Essential Role for Senescent Cells in Optimal Wound Healing through Secretion of PDGF-AA.

Developmental cell·2026

Same author

How long can humans live? All evidence points to a maximum of 125 years.

Nature·2026

Same author

Single-molecule imaging reveals RNA polymerase II dynamics and TAF1-dependent promoter-proximal pause release.

Nature communications·2026

Same author

Mutagen-induced somatic mutation rate in primary mammalian cells in relation to maximum life span.

Geromedicine·2026

Same author

The aging genome exhibits organized vulnerability to somatic mutations.

bioRxiv : the preprint server for biology·2026

Search research articles

Related Experiment Video

Updated: Jun 13, 2025

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Concurrent analysis of genome and transcriptome in one single cell.

Johanna Heid^1,2, Ronald Cutler³, Moonsook Lee³

¹Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. johanna.heid@nyulangone.org.

BMC Research Notes

|September 16, 2024

Summary

Researchers developed a simple method to analyze both DNA and RNA from single cells. This technique enables simultaneous whole-genome and whole-transcriptome studies, linking mutations to gene expression.

Keywords:

DNA mutation analysis MRNA expression Single cell

More Related Videos

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Reusable Single Cell for Iterative Epigenomic Analyses

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

Related Experiment Videos

Last Updated: Jun 13, 2025

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Reusable Single Cell for Iterative Epigenomic Analyses

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

Area of Science:

Molecular Biology
Genomics
Single-cell analysis

Background:

Existing single-cell analysis methods lack a simple tool for simultaneous whole-genome and whole-transcriptome profiling.
Analyzing DNA and RNA from the same cell is crucial for understanding gene regulation and mutation relationships.

Purpose of the Study:

To develop and validate a simple, effective method for simultaneous DNA and RNA analysis from individual cells.
To enable comprehensive studies of the genome and transcriptome at the single-cell level.

Main Methods:

A three-step method involving cell immobilization, hypotonic lysis, and physical separation of cytoplasmic RNA from the nucleus.
Extraction of DNA and RNA from the separated components of single cells.

Main Results:

The extracted DNA and RNA are suitable for downstream sequencing applications.
Genome and transcriptome sequencing coverage is comparable to methods without prior separation.
The separation procedure does not introduce bias in mutational load or spectra.

Conclusions:

The developed method provides a simple tool for simultaneous complex analysis of the genome and transcriptome in single cells.
This technique facilitates the study of relationships between somatic mutations and gene expression regulation.