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

You might also read

Related Articles

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

Sort by

Same author

Spatially Resolved Electric-Field Manipulation of Magnetism for CoFeB Mesoscopic Discs on Ferroelectrics.

Advanced functional materials·2019

Same author

Rapid Method for Detection of <i>Staphylococcus aureus</i> in Feces.

Journal of biomedical nanotechnology·2019

Same author

Angiotensin II triggers autophagy and apoptosis in PC12 cell line: An in vitro Alzheimer's disease model.

Brain research·2019

Same author

Taylor's power law and its decomposition in urban facilities.

Royal Society open science·2019

Same author

Silane Cross-Linked Sulfonted Poly(Ether Ketone/Ether Benzimidazole)s for Fuel Cell Applications.

Polymers·2019

Same author

Comparative analysis of sequencing technologies for single-cell transcriptomics.

Genome biology·2019

Same journal

Artificial intelligence for biomarker prediction in gastric cancer: from histopathology to multimodal integration.

Frontiers in oncology·2026

Same journal

Influencing factors of cognitive frailty in older patients with esophageal cancer undergoing chemotherapy: a mixed-methods study.

Frontiers in oncology·2026

Same journal

HDAC1-mediated CDK1 decrotonylation inhibits colorectal cancer proliferation by regulating cell cycle and apoptosis.

Frontiers in oncology·2026

Same journal

Development and validation of a machine learning model to evaluate survival in patients with newly diagnosed breast cancer with liver metastasis.

Frontiers in oncology·2026

Same journal

Primary diffuse large b-cell lymphoma of the lip: a case report and literature review.

Frontiers in oncology·2026

Same journal

A deep learning-based prognostic model for diffuse large B-cell lymphoma incorporating PET/CT imaging features.

Frontiers in oncology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 23, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Spatial transcriptomics technology in cancer research.

Qichao Yu^1,2, Miaomiao Jiang¹, Liang Wu¹

¹Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China.

Frontiers in Oncology

|October 31, 2022

Summary

This summary is machine-generated.

Spatial transcriptomics (ST) advances cancer research by mapping tissue heterogeneity and tumor microenvironments (TMEs). This technology aids pathological diagnosis and identifies new prognostic factors for various cancers.

Keywords:

prognostic factor spatial heterogeneity spatial transcriptomics (ST)tertiary lymphoid structure (TLS)tumor interface tumor microenvironment

More Related Videos

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Related Experiment Videos

Last Updated: Aug 23, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Area of Science:

Biotechnology
Genomics
Cancer Research

Background:

Spatial transcriptomics (ST) technologies have rapidly advanced.
ST is increasingly utilized for spatial tissue atlases and cancer heterogeneity characterization.
ST enables profiling of spatial heterogeneity across diverse cancer types.

Purpose of the Study:

To review recent advances and prospects of spatial transcriptomics applications in cancer research.
To highlight the role of ST in understanding tumor microenvironments (TMEs).
To discuss the potential of ST in improving pathological diagnosis and identifying prognostic factors.

Main Methods:

Review of recent literature on spatial transcriptomics in cancer research.
Analysis of ST applications in identifying specific spatial areas like tumor interfaces and tertiary lymphoid structures (TLSs).

Main Results:

ST effectively profiles spatial heterogeneity in multiple cancer types.
ST aids in identifying and understanding unique TMEs, including tumor interfaces and TLSs.
ST demonstrates significant potential for enhancing pathological diagnosis and discovering novel prognostic factors.

Conclusions:

Spatial transcriptomics is a powerful tool revolutionizing cancer research.
ST offers new avenues for understanding cancer biology, diagnosis, and treatment strategies.
Continued development and application of ST hold immense promise for future cancer studies.