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

Interpretation, design, and analysis of gene array expression experiments.

R A Miller1, A Galecki, R J Shmookler-Reis

  • 1Department of Pathology and Geriatrics Center, University of Michigan, Ann Arbor 48109-0940, USA. millerr@umich.edu

The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
|February 24, 2001
PubMed
Summary

Biogerontology research using gene expression arrays needs robust statistical methods. This study highlights flaws in ratio-based analyses and proposes a two-stage design for reliable gene expression data interpretation.

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

Effect of age and neurovascular grafting on the mechanical function of medial gastrocnemius muscles of Fischer 344 rats.

The journals of gerontology. Series A, Biological sciences and medical sciences·2008
Same author

Accelerated dysfunction among the very oldest-old in nursing homes.

The journals of gerontology. Series A, Biological sciences and medical sciences·2000
Same author

Nitric oxide biomarkers increase during exercise-induced vasodilation in the forearm.

International journal of sports medicine·2000
Same author

Exotic mice as models for aging research: polemic and prospectus.

Neurobiology of aging·1999
Same author

Multiple-trait quantitative trait loci analysis using a large mouse sibship.

Genetics·1999
Same author

Genetics of aging and immunity.

Aging (Milan, Italy)·1998

Area of Science:

  • Biogerontology
  • Molecular Biology
  • Genomics

Background:

  • Gene expression arrays are increasingly used in biogerontology research.
  • Reliable interpretation of gene expression data requires advanced statistical methods.
  • Current studies often rely on flawed ratio calculations and overlook multiple comparison issues.

Purpose of the Study:

  • To identify limitations in current statistical approaches for analyzing gene expression data in biogerontology.
  • To propose an improved experimental design for more accurate conclusions.
  • To address the challenges of multiple comparisons in high-throughput gene expression studies.

Main Methods:

  • Discussion of logical flaws in ratio-based analyses.
  • Review of multiple comparison problems in high-throughput gene expression studies.

Related Experiment Videos

  • Advocacy for a two-stage experimental design incorporating significance testing.

    • Main Results:

    • Ratio calculations alone are insufficient for drawing reliable conclusions from gene expression data.
    • High-throughput systems present significant challenges due to numerous simultaneous mRNA tests.
    • A two-stage design enhances the reliability of findings by separating exploratory and hypothesis-testing phases.

    Conclusions:

    • Careful statistical methodology is crucial for valid biogerontology research using gene expression arrays.
    • A two-stage design, including significance testing for exploratory data, improves the accuracy of gene expression analysis.
    • This approach helps distinguish true biological differences from chance events in complex datasets.