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

Mechanisms of germ-soma communication during follicular growth.

Current topics in developmental biology·2026
Same author

Intergenerational effects of the pre-conception period on the number of services required by the daughter in dairy cows.

PloS one·2026
Same author

Bovine EpiMap explorer: an interactive web application for genome-wide DNA methylation analysis in dairy cattle.

BMC bioinformatics·2026
Same author

Alterations in gene expression and DNA methylation in the bovine blastocyst in response to choline supplementation during culture†.

Biology of reproduction·2026
Same author

Manual curation for improved genome annotation of the functionally extinct northern white rhinoceros (Ceratotherium simum cottoni).

PloS one·2026
Same author

Changes in nuclear and mitochondrial DNA methylation in cow blood associated with age and disease.

Epigenetics·2025

Related Experiment Video

Updated: Jun 13, 2026

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform
09:04

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

Published on: January 30, 2017

Providing a stable methodological basis for comparing transcript abundance of developing embryos using microarrays.

Isabelle Gilbert1, Sara Scantland, Eve-Lyne Sylvestre

  • 1Centre de recherche en biologie de la reproduction, Département des Sciences animales, Université Laval, Québec, Canada.

Molecular Human Reproduction
|May 19, 2010
PubMed
Summary
This summary is machine-generated.

Standardizing microarray methods is crucial for integrating high-throughput data, especially in early embryogenesis research. Addressing platform discrepancies and biological variations improves transcript abundance analysis.

More Related Videos

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos
08:37

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos

Published on: October 9, 2020

Metabolic Labeling of the Nascent Transcriptome in Xenopus Early Embryogenesis
06:46

Metabolic Labeling of the Nascent Transcriptome in Xenopus Early Embryogenesis

Published on: March 27, 2026

Related Experiment Videos

Last Updated: Jun 13, 2026

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform
09:04

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

Published on: January 30, 2017

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos
08:37

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos

Published on: October 9, 2020

Metabolic Labeling of the Nascent Transcriptome in Xenopus Early Embryogenesis
06:46

Metabolic Labeling of the Nascent Transcriptome in Xenopus Early Embryogenesis

Published on: March 27, 2026

Area of Science:

  • Genomics
  • Developmental Biology
  • Bioinformatics

Background:

  • High-throughput methods like microarrays generate vast datasets for physiological studies.
  • Integrating published microarray data is beneficial but hindered by platform methodological discrepancies.
  • Transcript management in early embryogenesis presents unique challenges, including fluctuating RNA content and poly(A) tail dynamics.

Purpose of the Study:

  • To identify and address sources of variation in microarray data production.
  • To implement standardized procedures for a research network.
  • To provide insights into microarray data compatibility issues.

Main Methods:

  • Evaluation of five main steps in sample preparation for microarrays.
  • Optimization of post-hybridization validation conditions using quantitative real-time PCR (qRT-PCR).

Main Results:

  • Detailed analysis of variations across microarray data production steps.
  • Identification of critical factors affecting microarray platform performance.
  • Established standardized procedures for research network implementation.

Conclusions:

  • Methodological standardization is essential for overcoming microarray data incompatibility.
  • Understanding intrinsic biological factors in early development is key for accurate transcript profiling.
  • The findings offer solutions for current microarray data integration challenges.