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

The Retinoblastoma Gene01:20

The Retinoblastoma Gene

4.1K
Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
The first-ever tumor suppressor gene called Rb was identified in retinoblastoma - a rare eye tumor in children. In inherited forms of the disease, a child inherits one defective copy of the Rb gene, which predisposes them to retinoblastoma. However,...
4.1K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

7.4K
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...
7.4K

You might also read

Related Articles

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

Sort by
Same author

Mapping of class II HLA restriction of SepSecS-specific CD4 T cell epitopes in autoimmune hepatitis.

JHEP reports : innovation in hepatology·2026
Same author

AETA peptide contributes to Alzheimer's disease signature of synapse dysfunction.

Acta neuropathologica·2026
Same author

Tanycytic degeneration impairs tau clearance and contributes to Alzheimer's disease pathology.

Cell press blue·2026
Same author

Addendum: Post-transcriptional gene silencing mediated by microRNAs is controlled by nucleoplasmic Sfpq.

Nature communications·2026
Same author

A single-cell and spatial atlas of early human olfactory development.

Nature communications·2026
Same author

Linear structure unfolding : application to mouse brain in spatial transcriptomics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Related Experiment Video

Updated: Jun 26, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K

Identifying Candidate Gene Drivers Associated with Relapse in Pediatric T-Cell Acute Lymphoblastic Leukemia Using a

Anthony Kypraios1,2, Juba Bennour1,2, Véronique Imbert1,2

  • 1Université Côte d'Azur, Inserm C3M, 06200 Nice, France.

Cancers
|May 11, 2024
PubMed
Summary

New gene signatures identify relapse in pediatric T-cell Acute Lymphoblastic Leukemia (T-ALL). This research highlights potential therapeutic targets and biomarkers for improved outcomes in T-ALL relapse patients.

Keywords:
candidate gene driversgene co-expression networkshub genespediatric T-cell acute lymphoblastic leukemiarelapsesingle-cell RNAseqtreatment resistance

More Related Videos

Expression of Exogenous Cytokine in Patient-derived Xenografts via Injection with a Cytokine-transduced Stromal Cell Line
12:58

Expression of Exogenous Cytokine in Patient-derived Xenografts via Injection with a Cytokine-transduced Stromal Cell Line

Published on: May 10, 2017

9.3K
Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

6.5K

Related Experiment Videos

Last Updated: Jun 26, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
Expression of Exogenous Cytokine in Patient-derived Xenografts via Injection with a Cytokine-transduced Stromal Cell Line
12:58

Expression of Exogenous Cytokine in Patient-derived Xenografts via Injection with a Cytokine-transduced Stromal Cell Line

Published on: May 10, 2017

9.3K
Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

6.5K

Area of Science:

  • Oncology
  • Genomics
  • Immunology

Background:

  • Pediatric T-cell Acute Lymphoblastic Leukemia (T-ALL) relapse carries a poor prognosis, necessitating novel therapeutic targets and relapse biomarkers.
  • Identifying molecular drivers of relapse is crucial for improving patient outcomes.

Purpose of the Study:

  • To identify novel relapse-associated genes and develop predictive gene signatures for pediatric T-ALL relapse.
  • To explore the molecular mechanisms underlying T-ALL relapse using advanced bioinformatics approaches.

Main Methods:

  • Single-cell RNA sequencing (scRNAseq) on paired diagnosis and relapse samples.
  • High-dimensional weighted gene co-expression network analysis (hdWGCNA) to identify relapse-associated hub genes.
  • Sparse partial least squares discriminant analysis and Cox regression modeling on TARGET-ALL data to generate predictive gene signatures.

Main Results:

  • Several gene co-expression networks (GCNs) were identified, highlighting relapse-associated hub genes involved in antigen presentation, cytoskeleton remodeling, translation, immune response, stress response, metabolism, and transcriptional remodeling.
  • Patient-specific discriminant gene sets were selected, ranging from 31 to 44 genes.
  • Three distinct model gene signatures were generated, effectively identifying relapsed patients within the TARGET-ALL AALL0434 cohort.
  • These signatures were associated with lower survival rates in high-scoring patients.

Conclusions:

  • The study identified novel potential relapse-associated genes in pediatric T-ALL.
  • Three validated gene signatures can predict T-ALL relapse and are linked to patient survival, offering potential for clinical application.