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

Optimization and clinical validation of a pathogen detection microarray.

Christopher W Wong1, Charlie Lee Wah Heng, Leong Wan Yee

  • 1Genomic Technologies, Genome Institute of Singapore, Republic of Singapore. wongc@gis.a-star.edu.sg

Genome Biology
|May 29, 2007
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

ASO Visual Abstract: Next-Generation Sequencing Identifies Key Targetable Mutations in the Treatment of Appendiceal Neoplasms.

Annals of surgical oncology·2026
Same author

The contribution of stem cell factor and its receptor c-Kit to cancer-induced bone pain.

JCI insight·2026
Same author

Hyaluronan-Based Glioblastoma Tumor Constructs Maintain Patient Tumor Drug Responses and Genomic Parity.

Micromachines·2026
Same author

MyD88-mediated chimaeric antigen receptor macrophages suppress brain metastasis using target-specific phagocytosis.

Nature biomedical engineering·2026
Same author

Enhancing Patient Lymphocyte Response to Peritoneal Malignancies Using a Personalized Immunocompetent Microfluidic Co-Culture Platform.

bioRxiv : the preprint server for biology·2026
Same author

TLR5 versus TLR7/8 agonist-dependent modulation of the early gene expression response to inactivated influenza virus vaccine in newborn nonhuman primates.

Vaccine·2026

This study developed a novel microarray platform for accurate pathogen identification. The platform overcomes limitations in DNA amplification and analysis, achieving high accuracy in clinical diagnostics.

Area of Science:

  • Molecular Biology
  • Clinical Diagnostics
  • Bioinformatics

Background:

  • DNA microarrays show promise for clinical diagnostics but face challenges like PCR amplification bias and cross-hybridization.
  • Accurate detection of pathogens is crucial for effective clinical diagnosis and treatment.

Purpose of the Study:

  • To develop and validate a customized microarray platform for robust and accurate pathogen identification.
  • To address limitations in DNA amplification bias and improve target-probe specificity in microarray analysis.

Main Methods:

  • Developed a customized microarray platform with a novel algorithm to predict and correct PCR bias.
  • Implemented a statistical method for pathogen identification based on probe recognition signatures.
  • Compared microarray performance against real-time PCR using patient specimens.

Related Experiment Videos

Main Results:

  • The microarray platform demonstrated 94% accuracy in identifying pathogens across 36 patient samples.
  • Achieved 76% sensitivity and 100% specificity in pathogen detection.
  • The developed algorithm effectively predicted PCR bias, improving primer design.

Conclusions:

  • The customized microarray platform offers a robust solution for accurate pathogen diagnosis.
  • This technology enhances the reliability and specificity of clinical diagnostic tools.
  • Microarray technology is substantiated for broader use in clinical diagnostics.