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

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...

You might also read

Related Articles

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

Sort by
Same author

Stage-Specific Reconstruction of Genome-Wide Genetic and Epigenetic Regulatory Networks Reveals Mechanistic Insights into Asthma Progression.

International journal of molecular sciences·2026
Same author

Systems Biology Methods via Genome-Wide RNA Sequences to Investigate Pathogenic Mechanisms for Identifying Biomarkers and Constructing a DNN-Based Drug-Target Interaction Model to Predict Potential Molecular Drugs for Treating Atopic Dermatitis.

International journal of molecular sciences·2024
Same author

Genetic and Epigenetic Host-Virus Network to Investigate Pathogenesis and Identify Biomarkers for Drug Repurposing of Human Respiratory Syncytial Virus via Real-World Two-Side RNA-Seq Data: Systems Biology and Deep-Learning Approach.

Biomedicines·2023
Same author

Drug Target Identification and Drug Repurposing in Psoriasis through Systems Biology Approach, DNN-Based DTI Model and Genome-Wide Microarray Data.

International journal of molecular sciences·2023
Same author

Systems Drug Design for Muscle Invasive Bladder Cancer and Advanced Bladder Cancer by Genome-Wide Microarray Data and Deep Learning Method with Drug Design Specifications.

International journal of molecular sciences·2022
Same author

Identifying Drug Targets of Oral Squamous Cell Carcinoma through a Systems Biology Method and Genome-Wide Microarray Data for Drug Discovery by Deep Learning and Drug Design Specifications.

International journal of molecular sciences·2022

Related Experiment Video

Updated: May 14, 2026

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
08:20

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Published on: May 21, 2019

New measurement methods of network robustness and response ability via microarray data.

Chien-Ta Tu1, Bor-Sen Chen

  • 1Laboratory of Control and Systems Biology, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan.

Plos One
|February 6, 2013
PubMed
Summary

New methods, Network Robustness Measurement (NRM) and Response Ability Measurement (RAM), quantify biological network performance. These tools reveal that aging and cancer networks are more robust but less responsive, offering insights for clinical strategies.

More Related Videos

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
07:35

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray

Published on: April 25, 2014

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
09:27

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Related Experiment Videos

Last Updated: May 14, 2026

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
08:20

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Published on: May 21, 2019

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
07:35

Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray

Published on: April 25, 2014

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
09:27

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Area of Science:

  • Systems Biology
  • Network Biology
  • Computational Biology

Background:

  • Biological systems exhibit robustness and response ability, crucial for performance.
  • Direct measurement of these network properties is experimentally challenging.
  • Existing methods lack comprehensive analysis of dynamic system characteristics.

Purpose of the Study:

  • To introduce novel methods for measuring network robustness and response ability.
  • To estimate these properties in gene regulatory networks (GRNs) and protein-protein interaction networks (PPINs).
  • To analyze dynamic system properties using microarray data.

Main Methods:

  • Developed Network Robustness Measurement (NRM) and Response Ability Measurement (RAM).
  • Constructed dynamic network models from microarray data.
  • Applied NRM and RAM to aging-related GRNs and cancer-related PPINs.

Main Results:

  • Aging networks show increased robustness and decreased responsiveness in the elderly.
  • Cancer cell networks exhibit enhanced robustness compared to normal cells.
  • Cancer cell PPINs demonstrate lower response ability than healthy cell PPINs.

Conclusions:

  • NRM and RAM are effective tools for analyzing system-level dynamical properties.
  • These methods provide valuable data for clinical strategy and drug target selection.
  • The findings offer insights for synthetic biology design from a systems perspective.