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...

You might also read

Related Articles

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

Sort by

Same author

Polymer-regulated crystallization enables scalable, high-performance heterostructured perovskite luminescent optoelectronic fibers.

Science bulletin·2026

Same author

Confinement-Regulated Crystal Phase Engineering Enables Structured Semiconductor Fiber Systems for Plant Transpiration Dynamics Monitoring.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Carbonized Polymer Dots: A Class of Highly Functionalized Nanoparticles with Polymeric Characteristics.

Polymer science & technology (Washington, D.C.)·2026

Same author

A Wet-and-Dry Research Model: Unveiling Biomechanics in Odontoblast Polarization.

International endodontic journal·2026

Same author

Decker Supramolecular Architecture-Derived Near-Infrared Luminescent Materials for Bioimaging Application.

ACS nano·2026

Same author

Tunnelling Nanotube-Mediated Lysosome Sharing Promotes Osteocyte Survival via Transcellular Autophagy.

Cell proliferation·2026

Same journal

Machine Learning-Assisted Nanopore for Enhanced Fingerprinting Analysis of Functional Glycans.

Analytical chemistry·2026

Same journal

Correction to "Maleylpyruvic Acid-Inducible Gene Expression System and Its Application for the Development of Gentisic Acid Biosensor".

Analytical chemistry·2026

Same journal

Computer-Aided Rational Hapten Design for Broad-Spectrum Monoclonal Antibody Development against Anthraquinones and Its Application in Lateral Flow Immunoassay.

Analytical chemistry·2026

Same journal

One-Step Chemoenzymatic Labeling and Oxime-Reversible Enrichment for O-GlcNAcylation Profiling under Oxidative Stress.

Analytical chemistry·2026

Same journal

Acid/NIR Dual-Responsive Nanoplatform with AND Logic-Gated Controlled Nitric Oxide Release for Companion Theranostics of Tumors.

Analytical chemistry·2026

Same journal

Multicharged Foldable Plasma Membrane Probes for Precise Cancer Cell Discrimination and Fluorescence-Guided Surgery.

Analytical chemistry·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Well-ST-seq: Cost-Effective and Near-Cellular Spatial Transcriptomics Using Deterministic Barcoded Bead Arrays.

Nianzuo Yu^1,2, Zhengyang Jin³, Shoujun Zhu^1,2

¹Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Jilin University, Changchun 130021, P. R. China.

Analytical Chemistry

|June 5, 2026

Summary

This summary is machine-generated.

Well-ST-seq is a new spatial transcriptomics method that uses microwells and microfluidics for cost-effective, near-cellular resolution tissue profiling. This technique rapidly generates spatial barcode arrays, enabling detailed analysis of gene expression within tissues.

More Related Videos

Cost-Efficient Transcriptomic-Based Drug Screening

Cost-Efficient Transcriptomic-Based Drug Screening

Published on: February 23, 2024

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

Related Experiment Videos

Last Updated: Jun 6, 2026

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Cost-Efficient Transcriptomic-Based Drug Screening

Cost-Efficient Transcriptomic-Based Drug Screening

Published on: February 23, 2024

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

Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

Spatial transcriptomics enables detailed tissue analysis but faces challenges in balancing resolution, cost, and sensitivity.
Deterministic probe array methods require optimization for broader research and clinical use.

Purpose of the Study:

To introduce Well-ST-seq, a novel platform for cost-efficient, near-cellular resolution spatial transcriptomics.
To demonstrate the platform's capability for rapid fabrication and high-quality transcript recovery.

Main Methods:

Integration of microwell-assembled hydrogel bead carriers with combinatorial microfluidic indexing.
Utilizing orthogonal microchannels for coordinate indexing and simplified probe construction on bead carriers.
Preparation of spatially barcoded capture arrays within approximately 2 hours.

Main Results:

Achieved a direct consumables cost of ~$0.05-$0.54 per mm² for 10-30 μm spot sizes.
Demonstrated high transcript recovery (3,896 UMIs per spot) in mouse hippocampus using 10 μm arrays.
Enabled delineation of layered organization, region-specific expression, and coherent alignment across serial sections of developing mouse brain.

Conclusions:

Well-ST-seq offers a rapid and cost-efficient method for fabricating deterministic spatial transcriptomics slides.
The platform provides near-cellular spatial tissue profiling capabilities, advancing basic research and clinical applications.