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...

You might also read

Related Articles

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

Sort by
Same author

An Open-Label Phase 1b Study of the Safety, Pharmacokinetics, Pharmacodynamics, and Clinical Activity of ANX005 in Patients with Huntington's Disease.

Movement disorders : official journal of the Movement Disorder Society·2026
Same author

Plasma C4d levels correlate with treatment response and renal activity in proliferative lupus nephritis.

Rheumatology (Oxford, England)·2025
Same author

Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language model.

PLOS digital health·2024
Same author

Base Composition of Poly (A

Development, growth & differentiation·2023
Same author

Impact of long-term ibrutinib treatment on circulating immune cells in previously untreated chronic lymphocytic leukemia.

Leukemia research·2021
Same author

A Bioinformatics 3D Cellular Morphotyping Strategy for Assessing Biomaterial Scaffold Niches.

ACS biomaterials science & engineering·2021
Same journal

Investigating the interactomic landscape of survival motor neuron (SMN) and the SMNΔ7 truncated protein.

BioTechniques·2026
Same journal

Antigen retrieval-immunofluorescence on free floating sections to visualize the liver lobule and its cellular makeup.

BioTechniques·2026
Same journal

Special approach of droplet digital polymerase chain reaction (ddPCR) for transgene stability of a Chinese hamster ovary (CHO) cell line.

BioTechniques·2026
Same journal

Strand-specific quantification of L1 ORF0 and related transcripts by multiplex reverse transcription with tagged primers.

BioTechniques·2026
Same journal

Why and when should we choose digital PCR?

BioTechniques·2026
Same journal

Quantitative and unbiased lung alveolar septum assessment in an LPS experimental mouse model using 2D-spatial correlation image analysis from hematoxylin and eosin slides.

BioTechniques·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2026

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

Assessment of repeated microarray experiments using mixed tissue RNA reference samples.

M Ann Mongan1, Ann Mongan, Marnie Higgins

  • 1Department of Comparative Biology and Safety Sciences, Amgen, Inc., South San Francisco.

Biotechniques
|September 10, 2008
PubMed
Summary
This summary is machine-generated.

Using standard rat-tissue mixtures in gene expression studies ensures data quality. This method monitors microarray performance over time, preventing data inconsistencies in toxicological screening and biological research.

More Related Videos

Performing Custom MicroRNA Microarray Experiments
07:04

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

Retrospective MicroRNA Sequencing: Complementary DNA Library Preparation Protocol Using Formalin-fixed Paraffin-embedded RNA Specimens
12:24

Retrospective MicroRNA Sequencing: Complementary DNA Library Preparation Protocol Using Formalin-fixed Paraffin-embedded RNA Specimens

Published on: May 5, 2018

Related Experiment Videos

Last Updated: Jul 1, 2026

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

Performing Custom MicroRNA Microarray Experiments
07:04

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

Retrospective MicroRNA Sequencing: Complementary DNA Library Preparation Protocol Using Formalin-fixed Paraffin-embedded RNA Specimens
12:24

Retrospective MicroRNA Sequencing: Complementary DNA Library Preparation Protocol Using Formalin-fixed Paraffin-embedded RNA Specimens

Published on: May 5, 2018

Area of Science:

  • Genomics
  • Toxicology
  • Bioinformatics

Background:

  • Genome-scale gene expression technologies are vital for biological research and toxicological screening.
  • Monitoring data quality and process drift is crucial for reliable gene expression analysis.
  • Standardized RNA reference samples facilitate cross-study data comparability.

Purpose of the Study:

  • To evaluate the utility of rat-tissue mixtures as standard samples for monitoring microarray experiment performance over time.
  • To assess the robustness of detection sensitivity and data correlation in gene expression data.
  • To determine if standard samples can identify process drift that may affect data comparability.

Main Methods:

  • Analysis of 21 technical replicates of two mixed-tissue rat samples (brain, liver, kidney, testis) over 12 months.
  • Utilized Affymetrix RAE230_2 GeneChip for microarray experiments.
  • Assessed detection sensitivity (present/absent sequences), data correlation (scatter plots), and Receiver Operating Characteristic (ROC) curves.

Main Results:

  • Detection sensitivity remained robust, with minimal variation in data correlation over the 12-month period.
  • ROC curve analysis indicated consistent sensitivity and specificity, comparable to well-performing arrays.
  • The use of standard samples effectively benchmarked microarray performance and detected no significant process drift.

Conclusions:

  • Incorporating standard samples in microarray experiments is an effective strategy for benchmarking performance and ensuring data quality over time.
  • Standard samples help identify process drift, which is essential for reliable cross-study comparisons in gene expression analysis.
  • This approach enhances the reliability of data generated from toxicological screening and broader biological research.