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 Experiment Videos

Overview of mRNA expression profiling using microarrays.

Fumiaki Katagiri1, Jane Glazebrook

  • 1University of Minnesota, St. Paul, Minnesota, USA.

Current Protocols in Molecular Biology
|February 12, 2008
PubMed
Summary
This summary is machine-generated.

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

Emergence of isochorismate-based salicylic acid biosynthesis within Brassicales.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

An averaging model for analysis and interpretation of high-order genetic interactions.

PloS one·2024
Same author

Variation in shoot architecture traits and their relationship to canopy coverage and light interception in soybean (Glycine max).

BMC plant biology·2024
Same author

Decomposition of dynamic transcriptomic responses during effector-triggered immunity reveals conserved responses in two distinct plant cell populations.

Plant communications·2024
Same author

Pathogen-driven coevolution across the CBP60 plant immune regulator subfamilies confers resilience on the regulator module.

The New phytologist·2021
Same author

Letter to the Editor: DNA Purification-Free PCR from Plant Tissues.

Plant & cell physiology·2021
Same journal

Nondenaturing Polyacrylamide Gel Electrophoresis: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021
Same journal

Purification and Concentration of DNA from Aqueous Solutions: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021
Same journal

Expression of Proteins Using Semliki Forest Virus Vectors: Protein Expression.

Current protocols in molecular biology·2021
Same journal

Methylation and Uracil Interference Assays for Analysis of Protein-DNA Interactions: DNA-Protein Interactions.

Current protocols in molecular biology·2021
Same journal

Separation of Double- and Single-Stranded Nucleic Acids Using Hydroxylapatite Chromatography: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021
Same journal

Pulsed-Field Gel Electrophoresis: Preparation and Analysis of DNA.

Current protocols in molecular biology·2021
See all related articles

Microarray technology measures thousands of gene mRNA levels, aiding biological research. Careful experimental design and statistical analysis are crucial for interpreting large microarray datasets effectively.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Microarray technology enables simultaneous measurement of mRNA levels for thousands of genes.
  • This powerful tool addresses complex biological questions previously intractable.
  • However, large microarray datasets present challenges in experimental design and statistical analysis for molecular biologists.

Purpose of the Study:

  • To provide an overview of microarray technology applications.
  • To discuss the merits and limitations of various experimental design and statistical analysis methods.
  • To guide investigators in choosing appropriate methods based on scientific goals.

Main Methods:

  • Discussion of experimental design considerations (array type, experiment design, replicates).

Related Experiment Videos

  • Review of statistical methods for microarray data analysis.
  • Comparative analysis of different approaches for common microarray applications.

    • Main Results:

    • Highlights the importance of aligning experimental design and statistical methods with research objectives.
    • Identifies key challenges in managing and analyzing large-scale gene expression data.
    • Compares the strengths and weaknesses of various microarray analysis strategies.

    Conclusions:

    • Effective use of microarray technology requires careful planning of experiments and appropriate statistical analysis.
    • Understanding the limitations of different methods is essential for reliable interpretation of gene expression data.
    • This overview serves as a guide for molecular biologists utilizing microarray technology.