Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

14.4K
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...
14.4K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

9.3K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
9.3K
Cancer Stem Cells and Tumor Maintenance02:40

Cancer Stem Cells and Tumor Maintenance

5.8K
Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
5.8K
Cancer02:18

Cancer

53.2K
Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
53.2K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

6.8K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
6.8K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

11.0K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
11.0K

You might also read

Related Articles

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

Sort by
Same author

Characteristics and Clinical Outcomes of De Novo and Acquired Uncommon Compound EGFR Mutations in Patients With Advanced Non-Small Cell Lung Cancer: A Brief Report.

Clinical lung cancer·2026
Same author

Mullerian Adenosarcomas with Extrauterine Involvement, Sarcomatous Overgrowth and <i>MDM2</i> Amplification: A Diagnostic Challenge.

International journal of surgical pathology·2026
Same author

Validation of a machine learning model for predicting early deterioration in the emergency department.

The American journal of emergency medicine·2026
Same author

An X-linked long non-coding RNA, PTCHD1-AS, and the core features of autism.

Nature·2026
Same author

Serine-16 Phosphorylation, C-Terminal Truncation, and Ion-Specific Interactions Coordinate Amelogenin Nanoribbon Formation.

Calcified tissue international·2026
Same author

Neural self-organization during episodic encoding: deep recurrent effective connectivity from source-localized EEG.

Frontiers in psychology·2026
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
See all related articles

Related Experiment Video

Updated: Dec 20, 2025

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

722

CReSCENT: CanceR Single Cell ExpressioN Toolkit.

Suluxan Mohanraj1, J Javier Díaz-Mejía1, Martin D Pham2

  • 1Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 0A3, Canada.

Nucleic Acids Research
|June 2, 2020
PubMed
Summary
This summary is machine-generated.

CReSCENT is a user-friendly toolkit for analyzing cancer single-cell RNA sequencing data. It simplifies complex bioinformatics pipelines, making advanced cancer research accessible to non-experts.

More Related Videos

A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
10:13

A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells

Published on: July 3, 2013

11.5K
Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
09:45

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Published on: November 14, 2025

370

Related Experiment Videos

Last Updated: Dec 20, 2025

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

722
A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
10:13

A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells

Published on: July 3, 2013

11.5K
Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
09:45

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Published on: November 14, 2025

370

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Single-cell RNA sequencing (scRNA-seq) generates valuable data for tumor specimen analysis.
  • Analyzing scRNA-seq data requires significant computational resources and specialized expertise.
  • Tailoring analysis for cancer biology presents unique challenges.

Purpose of the Study:

  • To introduce CReSCENT (CanceR Single Cell ExpressioN Toolkit), a web portal for standardized scRNA-seq data analysis.
  • To provide an accessible and scalable platform for researchers, including non-experts in computational biology.
  • To facilitate the analysis, interpretation, and sharing of cancer scRNA-seq data.

Main Methods:

  • Development of an intuitive and scalable web portal.
  • Integration of a containerized pipeline execution engine for standardized analysis.
  • Utilizing public datasets and preconfigured, user-editable pipelines.
  • Allowing users to upload their own scRNA-seq data for private or shared analysis.

Main Results:

  • CReSCENT offers a standardized approach to scRNA-seq data analysis.
  • The toolkit is accessible to computational biology non-experts.
  • Pipelines are user-editable for optimization and reanalysis.
  • Enables private or shared analysis of user-uploaded data.

Conclusions:

  • CReSCENT democratizes scRNA-seq data analysis in cancer research.
  • It lowers the barrier to entry for complex bioinformatics tasks.
  • Facilitates reproducible and collaborative cancer single-cell studies.