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 microarray-based...

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 helps...

You might also read

Related Articles

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

Sort by

Same author

Direct RNA Sequencing reveals epitranscriptomic regulation of brain cells and Alzheimer's Disease pathology.

bioRxiv : the preprint server for biology·2026

Same author

Systematic assessment of diverse RNA modifications using nanopore direct RNA sequencing.

Nucleic acids research·2026

Same author

Fibroblastic FLT3L supports lymph node dendritic cells in the interfollicular niche.

Nature immunology·2025

Same author

Correspondence on "Fukushima Contaminated Water Risk Factor: Global Implications".

Environmental science & technology·2025

Same author

Acute Respiratory Distress Syndrome Molecular Phenotypes Have Distinct Lower Respiratory Tract Transcriptomes.

American journal of respiratory and critical care medicine·2025

Same author

SMAdd-seq: probing chromatin accessibility with small molecule DNA intercalation and nanopore sequencing.

Nucleic acids research·2025

Same journal

Correction: The efficacy of angiogenesis inhibitors combined with chemotherapy in advanced breast cancer: a systematic review and meta-analysis.

Frontiers in oncology·2026

Same journal

DNA damage response inhibitors in pancreatic cancer: progress and challenges.

Frontiers in oncology·2026

Same journal

Intracranial angiomatoid fibrous histiocytoma in a 2-month-old infant: a rare case report.

Frontiers in oncology·2026

Same journal

Surgical treatment and prognosis in patients with intestinal metastases originated from advanced epithelial ovarian cancer.

Frontiers in oncology·2026

Same journal

Is leptomeningeal dissemination in oligodendroglioma predictable? Evidence from a scoping review.

Frontiers in oncology·2026

Same journal

Adrenal metastases of differentiated thyroid cancer: clinicopathological characteristics and prognostic factors.

Frontiers in oncology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 16, 2026

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

Beyond counting: how single-cell long-read sequencing turns transcriptome complexity into precision targets.

Ashley Byrne¹, Colette Felton², William Stephenson¹

¹Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, United States.

Frontiers in Oncology

|June 15, 2026

Summary

This summary is machine-generated.

Single-cell long-read sequencing (scLRS) overcomes short-read limitations in cancer research. This technology reveals full-length transcriptomes, enabling precise identification of tumor variants and development of targeted therapies.

Keywords:

alternative splicing driver variants long-read sequencing precision oncology single cell spatial sequencing transcriptomics

More Related Videos

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Related Experiment Videos

Last Updated: Jun 16, 2026

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

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Oncology
Genomics
Transcriptomics

Background:

Short-read single-cell RNA sequencing (scRNA-seq) provides gene expression but misses full transcriptome complexity.
Limitations include inability to detect single nucleotide variants (SNVs), structural variants (SVs), and aberrant splicing crucial for tumor development.
Understanding transcriptomic heterogeneity at the single-cell level is critical for cancer research.

Purpose of the Study:

To review how single-cell long-read sequencing (scLRS) addresses limitations of short-read platforms in cancer research.
To highlight applications of scLRS in identifying tumor-specific alterations and developing targeted therapies.
To discuss the current state, challenges, and future directions of scLRS in oncology.

Main Methods:

Review of existing literature on single-cell long-read sequencing (scLRS) technologies and their applications in oncology.
Analysis of how scLRS provides full-length transcript information.
Discussion of multimodal analysis integrating scLRS with other omics data.

Main Results:

scLRS enables identification of novel tumor-specific neo-antigens and fusion genes.
It facilitates tracing tumor clone subtypes and clonal evolution using isoform profiles and SNV variation.
scLRS supports multimodal analysis for comprehensive tumor microenvironment profiling.

Conclusions:

scLRS overcomes short-read limitations, offering deeper insights into cancer transcriptomic complexity.
It holds potential for developing highly specific, isoform-selective therapies and accelerating precision oncology.
Addressing technological and computational challenges will establish scLRS as an indispensable tool in cancer research.