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

In-situ Hybridization

In-situ Hybridization

In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...

You might also read

Related Articles

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

Sort by

Same author

Association between L-α-glycerylphosphorylcholine use and risk of kidney cancer: A nationwide representative retrospective cohort study.

Cancer epidemiology·2026

Same author

Body mass index variability and pancreatic cancer risk in South Korean adults: a nationwide cohort study.

Korean journal of family medicine·2026

Same author

Comparison of Broad-Spectrum Antibiotic Use According to Hospice Utilization Among Patients with Cancer at the End of Life in South Korea: A Nationwide Analysis.

Journal of hospice and palliative care·2026

Same author

Artificial sweeteners and risk of cardiometabolic outcomes and mortality: a systematic review and meta-analysis.

Nutrition research and practice·2026

Same author

Status of Establishment of the Implementation Plan according to the First National Injury Prevention and Control Plan.

Public health weekly report·2026

Same author

Polytrichastrum alpinum methanol extract induces cell cycle arrest and apoptosis in mammary tumor cells of companion dogs.

Genes & genomics·2026

Search research articles

Related Experiment Video

Updated: May 6, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

HISSTA: a human in situ single-cell transcriptome atlas.

Jiwon Yu¹, Jiwoo Moon¹, Minseo Kim²

¹Department of Life Science, Ewha Womans University, Seoul 03760, Republic of Korea.

Bioinformatics (Oxford, England)

|March 31, 2025

Summary

HISSTA is a new database for analyzing spatial transcriptomics data at single-cell resolution. It offers comprehensive data and tools to advance cancer diagnosis and precision medicine.

More Related Videos

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

Author Spotlight: Integrating Single-Cell Transcriptomics with Organoid Cultures for Advanced Research and Therapeutic Insights

Author Spotlight: Integrating Single-Cell Transcriptomics with Organoid Cultures for Advanced Research and Therapeutic Insights

Published on: June 28, 2024

Related Experiment Videos

Last Updated: May 6, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

Author Spotlight: Integrating Single-Cell Transcriptomics with Organoid Cultures for Advanced Research and Therapeutic Insights

Author Spotlight: Integrating Single-Cell Transcriptomics with Organoid Cultures for Advanced Research and Therapeutic Insights

Published on: June 28, 2024

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Spatial transcriptomics enables gene expression profiling with spatial context.
High-throughput in situ imaging technologies provide single-cell resolution data.
A need exists for comprehensive databases for spatial transcriptomics analysis.

Purpose of the Study:

To introduce the Human In Situ Single-cell Transcriptome Atlas (HISSTA) database.
To facilitate the archival and analysis of in situ transcriptome data at single-cell resolution.
To provide user-friendly interfaces for exploring spatial gene expression.

Main Methods:

Collected and annotated spatial transcriptome data from MERFISH, CosMx SMI, and Xenium.
Integrated data from 112 samples, 28 million cells, and 16 human tissue types.
Implemented tools for cell type annotation, spatial colocalization, and cellular communication analysis.

Main Results:

HISSTA provides interactive access to 112 spatial transcriptomics datasets via Vitessce.
Advanced analysis tools enable detailed examination of gene expression and spatial relationships.
The database supports cancer diagnosis, precision medicine, and digital pathology.

Conclusions:

HISSTA is a unique resource for managing and analyzing large-scale single-cell spatial transcriptomics data.
Interactive visualization and analysis tools empower researchers in various biological fields.
The database is expected to significantly impact future medical and biological research.