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

Cancers Originate from Somatic Mutations in a Single Cell

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...

You might also read

Related Articles

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

Sort by

Same author

Body mass index threshold for obesity should be personalized based on polygenic score: Analysis of european and east asian biobanks.

American journal of preventive cardiology·2026

Same author

Correction: Kim et al. Identification of <i>GREM-1</i> and <i>GAS6</i> as Specific Biomarkers for Cancer-Associated Fibroblasts Derived from Patients with Non-Small-Cell Lung Cancer. <i>Cancers</i> 2025, <i>17</i>, 2858.

Cancers·2026

Same author

Trio Whole Genome Sequencing for Diagnosis of Neonates with Multiple Congenital Anomalies.

Neonatology·2026

Same author

Human Papillomavirus (HPV) Infected Epithelial Cells and FBLN1+ Fibroreticular Cells Govern the Immunogenic Tumor Microenvironment in HPV-Associated Oropharyngeal Squamous Cell Carcinoma.

Clinical and experimental otorhinolaryngology·2026

Same author

Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI).

International journal of clinical oncology·2026

Same author

Integration of circulating tumor DNA data enhances lung cancer prediction in patients with COPD.

Scientific reports·2026

Search research articles

Related Experiment Video

Updated: Nov 5, 2025

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Published on: August 16, 2024

Single Cell Genomics for Tumor Heterogeneity.

Hae-Ock Lee¹, Woong-Yang Park²

¹Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. haeocklee@catholic.ac.kr.

Advances in Experimental Medicine and Biology

|May 13, 2021

Summary

This summary is machine-generated.

Single cell genomics reveals cellular diversity in normal and cancerous tissues. This powerful tool aids in understanding cancer

Keywords:

Breast cancer Single cell genomics Treatment resistance Tumor evolution Tumor heterogeneity

More Related Videos

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

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Published on: August 25, 2020

Related Experiment Videos

Last Updated: Nov 5, 2025

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Published on: August 16, 2024

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

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq

Published on: August 25, 2020

Area of Science:

Genomics
Cancer Biology
Cellular Heterogeneity

Background:

Single cell genomics is a key technology for investigating cellular diversity.
Cancer is characterized by genomic instability, leading to clonal evolution and intra-tumoral heterogeneity.
Tumor microenvironment alterations are crucial in cancer progression and can be studied using single cell genomics.

Purpose of the Study:

To review the application of single cell genomics in breast cancer research.
To highlight insights into clonal evolution, heterogeneity, and the tumor microenvironment.
To discuss the future potential of single cell genomics in cancer diagnostics and management.

Main Methods:

Analysis of existing single cell genomic studies in breast cancer.
Review of data on cellular diversity, molecular signatures, and tumor microenvironment.

Main Results:

Single cell genomics has elucidated clonal evolution and heterogeneity in breast cancer.
Studies have explored the composition and role of the tumor microenvironment.
Identified molecular signatures contributing to inter- and intra-tumoral heterogeneity.

Conclusions:

Single cell genomics provides deep insights into cancer biology.
This technology holds significant promise for advancing cancer diagnostics and treatment strategies.
Further application of single cell genomics can refine personalized cancer management.