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

Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against specific...

You might also read

Related Articles

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

Sort by
Same author

Soft sensor-driven spatiotemporal-periodic synergistic predictive control for blast furnace gas flow.

ISA transactions·2026
Same author

Mitochondrial mGPDH Modulates Fibroblast Function in Diabetic Wound Healing via the SIRT1-c-Myc-TGF-β1 Axis.

Diabetes·2025
Same author

TNK2 promotes the EMT proliferation and invasion of esophageal squamous cell carcinoma by enhancing FOXO1 through the AKT pathway.

International immunopharmacology·2025
Same author

High-throughput atomic force microscopy measurements reveal mechanical signatures of cell mixtures for liquid biopsy.

Nanoscale·2025
Same author

Correction: Association of human breast cancer CD44<sup>-</sup>/CD24<sup>-</sup> cells with delayed distant metastasis.

eLife·2025
Same author

Erratum to "A highly potent small-molecule antagonist of exportin-1 selectively eliminates CD44<sup>+</sup> CD24- enriched breast cancer stem-like cells" [Drug Resist. Updates 66 (2023) 100903].

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy·2025

Related Experiment Video

Updated: Jun 4, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Integrated bioinformatics analysis for cancer target identification.

Yongliang Yang1, S James Adelstein, Amin I Kassis

  • 1Department of Radiology, Harvard Medical School, Harvard University, Boston, MA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|March 4, 2011
PubMed
Summary

This study presents an integrated bioinformatics strategy for analyzing complex Omics data to identify drug targets. It offers a practical guideline for researchers to navigate challenges in target identification for cancer therapies.

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

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
07:47

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Published on: September 15, 2023

Related Experiment Videos

Last Updated: Jun 4, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

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

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
07:47

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Published on: September 15, 2023

Area of Science:

  • Bioinformatics
  • Genomics
  • Systems Biology

Background:

  • High-throughput Omics data offers potential for drug discovery but presents analysis challenges.
  • Experimentalists often lack the statistical expertise for complex bioinformatics analysis.
  • Analyzing Omics data within molecular networks is crucial for identifying disease targets.

Purpose of the Study:

  • To describe an integrated bioinformatics analysis strategy for Omics data.
  • To provide a practical guideline for identifying drug targets relevant to Enzyme-Mediated Cancer Imaging and Therapy (EMCIT).
  • To explain key bioinformatics concepts like corrected false discovery rate (FDR), Gene Ontology (GO), pathway analysis, and tissue specificity.

Main Methods:

  • Integrated bioinformatics analysis strategy.
  • Application of corrected false discovery rate (FDR) for statistical significance.
  • Utilizing Gene Ontology (GO) and pathway analysis for functional interpretation.
  • Network analysis incorporating tissue specificity.

Main Results:

  • Demonstration of a running example for target identification using the described strategy.
  • Identification of suitable targets for Enzyme-Mediated Cancer Imaging and Therapy (EMCIT).
  • Highlighting popular bioinformatics programs and databases for annotation and network analysis.

Conclusions:

  • The integrated strategy facilitates the analysis of heterogeneous Omics data for drug target identification.
  • The provided guideline empowers researchers to identify clinically relevant targets for cancer therapies.
  • This approach aids in understanding disease mechanisms and advancing drug discovery pipelines.