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

You might also read

Related Articles

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

Sort by
Same author

Sequential infection reprograms the immune landscape to shape future responses.

bioRxiv : the preprint server for biology·2026
Same author

Aneuploidy selects for the acquisition of driver genes in breast cancer.

Nature·2026
Same author

The Landscape of Prostate Tumour Methylation.

Cancer discovery·2026
Same author

Giredestrant immobilizes the estrogen receptor to exert potent antitumor efficacy against ER-active breast cancers.

Cell chemical biology·2026
Same author

A complete human pancreatic cancer genome.

bioRxiv : the preprint server for biology·2026
Same author

Therapy-associated mutagenesis at CTCF binding sites is shaped by chromatin context and DNA repair capacity.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Dec 29, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.6K

Integrative pathway enrichment analysis of multivariate omics data.

Marta Paczkowska1, Jonathan Barenboim1, Nardnisa Sintupisut1

  • 1Computational Biology Program, Ontario Institute for Cancer Research, 661 University Ave Suite 510, Toronto, ON, M5G 0A3, Canada.

Nature Communications
|February 7, 2020
PubMed
Summary

ActivePathways integrates multi-omics data to uncover biological pathways and genes in cancer and normal tissues. This method enhances understanding of cellular organization in health and disease by analyzing complex molecular profiles.

More Related Videos

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

829
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.9K

Related Experiment Videos

Last Updated: Dec 29, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.6K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

829
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.9K

Area of Science:

  • Molecular biology
  • Genomics
  • Systems biology

Background:

  • Multi-omics data present interpretation challenges.
  • High-dimensional molecular profiles hinder hypothesis generation.
  • Systems-level understanding requires data integration.

Purpose of the Study:

  • To introduce ActivePathways, an integrative method for multi-omics data analysis.
  • To discover significantly enriched pathways and associated genes across diverse datasets.
  • To rationalize contributing evidence and improve biological interpretation.

Main Methods:

  • Statistical data fusion for integrating multiple omics datasets.
  • Pathway enrichment analysis using curated pathway annotations.
  • Application to Pan-Cancer Analysis of Whole Genomes (PCAWG) data.
  • Integration of genomic, transcriptomic, and ChIP-seq data.

Main Results:

  • Identified frequently mutated pathways and novel cancer genes in 2658 cancers.
  • Revealed prognostic molecular pathways in breast cancer, linked to immune response and anti-apoptosis.
  • Discovered tissue regeneration and stem cell regulation pathways via Hippo pathway analysis.

Conclusions:

  • ActivePathways is a versatile tool for multi-omics data integration and pathway discovery.
  • The method enhances systems-level understanding of cellular processes in health and disease.
  • Facilitates hypothesis generation and identification of novel biological insights from complex molecular data.