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

GoArrays: highly dynamic and efficient microarray probe design.

Sébastien Rimour1, David Hill, Cécile Militon

  • 1LIMOS UMR CNRS 6158, Blaise Pascal University, Clermont-Ferrand II BP 10125, 63177 Aubiere Cedex, France. rimour@isima.fr

Bioinformatics (Oxford, England)
|November 9, 2004
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

Interleukin-6 stimulates platelet 12-lipoxygenase to drive coagulation in inflammatory arthritis.

Journal of lipid research·2026
Same author

Molecular adhesion assay for biopolymer systems.

The Review of scientific instruments·2026
Same author

Geo-Sense: a portable distributed acoustic sensing (DAS) system for high-resolution seafloor monitoring.

Scientific reports·2026
Same author

Overburdened and understaffed: A national mixed-methods examination of Canadian forensic mental health and fitness to stand trial.

International journal of law and psychiatry·2026
Same author

Omics exploration of deep-sea biodiversity: data from the "Pourquoi Pas les Abysses?" and eDNAbyss projects.

Scientific data·2025
Same author

Characterization of tumour-like inclusions in breast-mimicking phantoms using ultrasound optical tomography.

Scientific reports·2025
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026
Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026
Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026
Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026
See all related articles

Designing oligonucleotide probes for microarrays is challenging, especially for complex biological samples. This study introduces a novel composite oligonucleotide design approach for improved specificity and sensitivity in detecting pathogen transcripts within host cells.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Oligonucleotide microarray design requires careful attention to probe specificity due to complex physicochemical constraints.
  • Existing oligonucleotide design software often relies on similar algorithms with limited variation.
  • Classical probe design methods can be inefficient with complex biological target mixtures.

Purpose of the Study:

  • To develop a novel approach for designing oligonucleotides with enhanced specificity and sensitivity.
  • To address the challenges of discriminating pathogen transcripts from host cell transcripts in mixed samples.
  • To validate a new oligonucleotide design strategy for microarray applications.

Main Methods:

  • Development of a new algorithmic approach for oligonucleotide design.

Related Experiment Videos

  • Creation of composite oligonucleotides.
  • Experimental validation using a microarray targeting *Encephalitozoon cuniculi*.
  • Main Results:

    • Classical oligonucleotide design approaches can be inefficient for complex mixtures.
    • The proposed composite oligonucleotide design strategy demonstrates improved specificity and sensitivity.
    • A specific *E. cuniculi* microarray successfully discriminated parasite from host mRNAs.

    Conclusions:

    • The novel composite oligonucleotide design approach offers a powerful tool for analyzing complex biological samples.
    • Microarray technology, enhanced by optimized oligonucleotide design, can elucidate the lifestyle of intracellular pathogens.
    • This strategy is valuable for distinguishing pathogen and host genetic material in mixed samples.