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

HuBMAP Data Portal: A Resource for Multimodal Spatial and Single-Cell Data of Healthy Human Tissues.

ArXiv·2026

Same author

NKG2C <sup>+</sup> CD27 <sup>-</sup> Defines Human CD8 <sup>+</sup> Regulatory T Cells.

bioRxiv : the preprint server for biology·2026

Same author

Editorial: AI in single-cell biology.

Frontiers in bioinformatics·2026

Same author

SpatialQuery: scalable discovery and molecular characterization of multicellular motifs from spatial omics data.

bioRxiv : the preprint server for biology·2026

Same author

Integration of large, complex single-cell datasets with Harmony2.

bioRxiv : the preprint server for biology·2026

Same author

Distinct Malignant Cell States and Myeloid Glutamate Signaling Associated with Aggressive Pancreatic Neuroendocrine Tumors.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026

Same journal

Toward molecular and pathology-confirmed completeness in advanced ovarian cancer cytoreduction: Intraoperative molecular imaging and integrated theranostic strategies.

Molecular aspects of medicine·2026

Same journal

Gut microbiota dysbiosis in chronic liver disease: Mechanisms driving hepatocellular carcinoma progression and therapeutic implications of Chinese medicine.

Molecular aspects of medicine·2026

Same journal

Mechanisms of resistance to androgen deprivation therapy in prostate cancer.

Molecular aspects of medicine·2026

Same journal

Extracellular vesicles and their cargo molecules for peripheral nerve injuries and neuropathies: The composition, properties, and impact.

Molecular aspects of medicine·2026

Same journal

Unravelling the mystery of hypoxia-induced miRNAs in breast cancer: A molecular cross-talk driving tumour progression and therapy resistance.

Molecular aspects of medicine·2026

Same journal

Decoding the dialogue: The vagus nerve at the interface of brain, body, and Tumor.

Molecular aspects of medicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 2, 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

Single-cell and spatial transcriptomics: Bridging current technologies with long-read sequencing.

Chengwei Ulrika Yuan¹, Fu Xiang Quah², Martin Hemberg³

¹Department of Biochemistry, University of Cambridge, Cambridge, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.

Molecular Aspects of Medicine

|February 18, 2024

Summary

This summary is machine-generated.

Recent advances combine single-cell, spatial transcriptomics, and long-read sequencing technologies. This powerful integration enhances understanding of cellular heterogeneity at genomic and transcriptomic levels within tissue context.

More Related Videos

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Related Experiment Videos

Last Updated: Jul 2, 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

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Area of Science:

Biotechnology
Genomics
Transcriptomics

Background:

Single-cell technologies revolutionized biomedical research by enabling cellular heterogeneity analysis at genomic and transcriptomic levels.
Spatial transcriptomics allows for cell profiling within the native tissue microenvironment.
Third-generation sequencing provides long reads, improving detection of large genomic alterations and isoform quantification.

Purpose of the Study:

To explore the synergistic combination of single-cell, spatial transcriptomics, and long-read sequencing technologies.
To highlight novel approaches for comprehensive genome and transcriptome profiling.
To discuss current achievements and future opportunities in integrated omics technologies.

Main Methods:

Integration of single-cell RNA sequencing (scRNA-seq) data.
Application of spatial transcriptomics for tissue context preservation.
Utilization of long-read sequencing for enhanced genomic and transcriptomic characterization.

Main Results:

Demonstrated powerful new approaches by combining these advanced technologies.
Enabled more accurate characterization of functionally relevant cellular heterogeneity.
Facilitated a deeper understanding of both genome and transcriptome.

Conclusions:

The convergence of single-cell, spatial, and long-read technologies offers unprecedented capabilities for biological research.
Significant progress has been made, but challenges and opportunities remain in optimizing these integrated approaches.
Future research will benefit from these combined methods for detailed cellular profiling.