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

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...

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...

You might also read

Related Articles

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

Sort by

Same author

A single-cell blueprint for cellular diversity in the Green Lineage.

Current biology : CB·2026

Same author

The Impact of Social Isolation on Treatment Burden Among Community-Dwelling Adults With Disability and Multimorbidity: A Longitudinal Qualitative Study in Urban China.

Health expectations : an international journal of public participation in health care and health policy·2026

Same author

Interventions to prevent and treat multiple long-term conditions and their consequences across the life course: concepts and definitions.

BMC medicine·2026

Same author

Sleep Improvement for Metabolic Health: A Feasibility Trial of a Digital Sleep Treatment in People With Insomnia and Non-Diabetic Hyperglycaemia.

Journal of sleep research·2026

Same author

A multidimensional framework for mapping social need to electronic health records in people with multimorbidity.

Scientific reports·2026

Same author

The SoyBase, LegumeInfo, and PeanutBase databases in support of legume research and crop improvement.

Genetics·2026

Same journal

Nondenaturing Polyacrylamide Gel Electrophoresis: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021

Same journal

Purification and Concentration of DNA from Aqueous Solutions: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021

Same journal

Expression of Proteins Using Semliki Forest Virus Vectors: Protein Expression.

Current protocols in molecular biology·2021

Same journal

Methylation and Uracil Interference Assays for Analysis of Protein-DNA Interactions: DNA-Protein Interactions.

Current protocols in molecular biology·2021

Same journal

Separation of Double- and Single-Stranded Nucleic Acids Using Hydroxylapatite Chromatography: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021

Same journal

Pulsed-Field Gel Electrophoresis: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 13, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Transcriptome Analysis at the Single-Cell Level Using SMART Technology.

Rachel N Fish¹, Magnolia Bostick¹, Alisa Lehman^1,2

¹Takara Bio USA, Inc. (formerly Clontech Laboratories, Inc.), Mountain View, California.

Current Protocols in Molecular Biology

|October 11, 2016

Summary

This summary is machine-generated.

This study presents a sensitive and reproducible RNA sequencing protocol for analyzing single cells. The method efficiently generates cDNA and sequencing libraries from minute RNA amounts, revealing cellular heterogeneity.

Keywords:

RNA-seq gene expression next-generation sequencing single cell transcriptome

More Related Videos

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

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

Related Experiment Videos

Last Updated: Mar 13, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

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

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

Area of Science:

Molecular Biology
Genomics
Cell Biology

Background:

Transcriptome analysis using RNA sequencing (RNA-seq) is crucial for understanding cell states.
Homogenous cell populations can mask significant cellular heterogeneity detectable at the single-cell level.
Analyzing RNA from single cells requires highly sensitive and reproducible methods due to ultra-low RNA quantities.

Purpose of the Study:

To describe an ultra-sensitive and reproducible protocol for transcriptome profiling.
To enable cDNA and sequencing library generation directly from single cells or low RNA inputs (10 pg to 10 ng).
To provide essential considerations for working with minute RNA quantities.

Main Methods:

Development of a sensitive protocol for cDNA synthesis from single cells.
Library preparation optimized for low RNA input amounts (10 pg to 10 ng).
Application of next-generation sequencing (NGS) for transcriptome profiling.

Main Results:

The protocol demonstrates high sensitivity and reproducibility for single-cell RNA analysis.
Successful generation of sequencing libraries from minute RNA inputs.
Enables deciphering molecular signatures of individual cells.

Conclusions:

The described protocol is effective for ultra-sensitive and reproducible single-cell RNA sequencing.
It overcomes challenges associated with analyzing minute RNA quantities.
Facilitates the discovery of cellular heterogeneity through single-cell transcriptome profiling.