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

Technology insight: Identification of biomarkers with tissue microarray technology.

Jena M Giltnane1, David L Rimm

  • 1Yale University School of Medicine, Department of Experimental Pathology, New Haven, CT 06520-8023, USA.

Nature Clinical Practice. Oncology
|November 3, 2005
PubMed
Summary

High-throughput technologies accelerate biomedical research and target discovery. Automated analysis of tissue microarrays enhances validation for clinical translation of biomarkers.

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

Quantification of Antibody-Drug Conjugate Targets in Head and Neck Squamous Cell Carcinoma.

Molecular cancer therapeutics·2026
Same author

Temperature-Dependent Long-term and Short-term Stability of Human Epidermal Growth Factor 2 Antigenicity on Pathology Slides.

Archives of pathology & laboratory medicine·2026
Same author

Pathological response to herceptin-containing neoadjuvant therapy in HER2 IHC2+/ISH+ and IHC3+ early-stage invasive ductal carcinoma.

Human pathology·2026
Same author

Quantitative HER2 tissue and plasma profiling predicts the activity of trastuzumab deruxtecan for breast cancer.

NPJ precision oncology·2026
Same author

Quantitative Assays for TROP2 Measurement in Breast Cancer and Comparison to H-Score.

Applied immunohistochemistry & molecular morphology : AIMM·2026
Same author

Metabolic characterization of tumor-immune interactions by multiplexed immunofluorescence reveals spatial mechanisms of immunotherapy response in non-small cell lung carcinoma (NSCLC).

Nature communications·2026

Area of Science:

  • Biomedical research
  • Translational science
  • Oncology

Background:

  • High-throughput technologies aim to speed up biomedical research and clinical translation.
  • Gene expression microarrays identify potential cancer targets, necessitating rapid validation.
  • Tissue microarrays (TMA) are crucial for validating protein expression and clinical outcomes.

Purpose of the Study:

  • To highlight the role of tissue microarrays in target validation.
  • To emphasize the importance of automated quantitative analysis in TMA technology.
  • To discuss the integration of TMA and automated analysis for biomarker translation.

Main Methods:

  • Utilizing gene expression microarrays for initial target identification.
  • Employing tissue microarrays for measuring tumor-specific protein expression.

Related Experiment Videos

  • Implementing automated quantitative analysis for TMA spot evaluation.

    • Main Results:

    • Tissue microarrays enable validation of potential targets identified by gene expression arrays.
    • Automated quantitative analysis reduces observer bias and improves quality control in TMA studies.
    • The combination of TMA and automated analysis offers potential for high-throughput validation.

    Conclusions:

    • Automated quantitative analysis significantly advances tissue microarray technology.
    • The synergy between tissue microarrays and automated analysis is vital for biomarker translation.
    • This integrated approach is essential for moving tissue biomarkers from research to clinical application.