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...

You might also read

Related Articles

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

Sort by

Same author

Comparison of Measured 24-Hour Urinary Salt Excretion With Spot Urine and 24-Hour Dietary Recall Estimates Among Adolescents and Parents: Cross-Sectional Study.

JMIR public health and surveillance·2026

Same author

A Rare Case of Lyme Neuroborreliosis Presenting as Bannwarth Syndrome in Texas.

Cureus·2026

Same author

Training and Communication Package for Acute Fever Case Management and Antibiotic Prescriptions: A Qualitative Exploration into Changing Behaviors of Healthcare Workers, Patients, and Caregivers in Chandigarh, India.

Indian journal of public health·2026

Same author

Integrating Immunotherapy Into Head and Neck Surgery: Bridging Tumor Biology to Perioperative Decision-Making, a Review.

Head & neck·2026

Same author

Superior Labial Artery Mucosal Flap (SLAM) for Reconstruction of Major Lower Lip Mucosal Defects.

Head & neck·2026

Same author

Mandibular Fracture Fixation Using Various Plate Designs: A Finite Element Analysis.

Annals of African medicine·2026

Same journal

Within-sibling attenuation of polygenic risk score accuracy: investigating the effects of principal component analysis, LD score regression, and mixed model association in the UK Biobank.

Human genetics·2026

Same journal

Long-read genome sequencing resolves a de novo complex 18q12.1q21.2 triplication causing partial tetrasomy and reveals its underlying mechanism.

Human genetics·2026

Same journal

A genetic variant of adenylate cyclase 7 associated with ulcerative colitis shows impaired function and G-protein-coupled receptor signaling.

Human genetics·2026

Same journal

AI in variant analysis: fast track to genetic diagnoses.

Human genetics·2026

Same journal

Combined family-based association and linkage analyses in families affected by attention-deficit hyperactivity disorder.

Human genetics·2026

Same journal

Investigating the shared genetic architecture between selective immunoglobulin A deficiency and autoimmune diseases.

Human genetics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 25, 2025

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

Advances in long-read single-cell transcriptomics.

Pallawi Kumari¹, Manmeet Kaur¹, Kiran Dindhoria¹

¹Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India.

|May 24, 2024

Summary

This summary is machine-generated.

Long-read single-cell RNA sequencing (scRNA-Seq) now offers full-length transcript analysis, overcoming limitations of short-read methods. Advances in accuracy and cost make long-read scRNA-Seq a powerful tool for disease research.

More Related Videos

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

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

Related Experiment Videos

Last Updated: Jun 25, 2025

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

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

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

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Traditional short-read scRNA-Seq has limitations in transcript coverage, isoform resolution, and novel transcript identification.
Long-read sequencing platforms enable full-length transcript characterization, addressing these limitations.
Early long-read scRNA-Seq faced accuracy challenges but has significantly improved.

Purpose of the Study:

To review recent advances in long-read single-cell RNA sequencing (scRNA-Seq).
To highlight improvements in library preparation protocols for long-read scRNA-Seq.
To discuss downstream bioinformatics analysis tools for long-read scRNA-Seq data.

Main Methods:

Review of current literature on long-read sequencing technologies applied to single-cell transcriptomics.
Analysis of library preparation methods enabling full-length transcript capture.
Evaluation of bioinformatics pipelines for processing and analyzing long-read scRNA-Seq data.

Main Results:

Long-read scRNA-Seq provides comprehensive transcript information, including isoforms and novel transcripts.
Improvements in accuracy, accessibility, and cost-effectiveness are increasing the adoption of long-read scRNA-Seq.
Specialized library preparation and bioinformatics tools are crucial for effective long-read scRNA-Seq analysis.

Conclusions:

Long-read scRNA-Seq is revolutionizing the study of cellular heterogeneity in disease.
The technology overcomes key limitations of short-read scRNA-Seq, offering deeper biological insights.
Continued development in protocols and analysis tools will further enhance the utility of long-read scRNA-Seq.