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

MIAME/Plant - adding value to plant microarrray experiments.

Philip Zimmermann1, Beatrice Schildknecht, David Craigon

  • 1Swiss Federal Institute of Technology - ETH Zurich, ETH Center, CH-8092 Zurich, Switzerland. phz@ethz.ch.

Plant Methods
|January 13, 2006
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

Programmatic access to ICTV virus taxonomy through a public ontology API.

bioRxiv : the preprint server for biology·2026
Same author

Data-driven prioritization of mouse strains for improved preclinical modeling of rare and common disease.

bioRxiv : the preprint server for biology·2026
Same author

Correction: Establishing standardized transthoracic echocardiography reference ranges for mouse models: insights into the impact of anesthesia, sex, and age.

Frontiers in cardiovascular medicine·2026
Same author

A general strategy for generating expert-guided, simplified views of ontologies.

Scientific data·2026
Same author

Establishing standardized transthoracic echocardiography reference ranges for mouse models: insights into the impact of anesthesia, sex, and age.

Frontiers in cardiovascular medicine·2026
Same author

Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study.

JMIR bioinformatics and biotechnology·2025
Same journal

PlasmiDB: an open-source and customizable database for plasmid lifecycle management in multi-user, multi-project plant molecular biology laboratories.

Plant methods·2026
Same journal

Establishment of a protoplast isolation and transient transformation system for tung tree (Vernicia fordii).

Plant methods·2026
Same journal

Deep aerenchyma: a transformer-based pipeline for scalable phenotyping of rice root aerenchyma lacunae across environments.

Plant methods·2026
Same journal

Comparative analysis of SP3 and S-Trap sample preparation protocols for proteomic profiling associated with somatic embryogenesis efficiency in Olea europaea L.

Plant methods·2026
Same journal

DAPR-AM-Net: an end-to-end smart farming system powered by dual-attention progressive refinement and adaptive MixUp for explainable tomato leaf disease classification and forecasting.

Plant methods·2026
Same journal

Deep soil layers show the most pronounced genetic variation in wheat root length.

Plant methods·2026
See all related articles

Plant biologists need more detailed experimental information for microarray data. MIAME/Plant provides a standard for essential biological details, enhancing transcriptome data usability and analysis.

Area of Science:

  • Bioinformatics
  • Plant Science
  • Genomics

Background:

  • Microarray data interpretation requires relevant experimental annotation.
  • The existing Minimal Information About Microarray Experiments (MIAME) guidelines are organism-independent and lack specific biological details crucial for plant research.
  • Plant biologists require specific information on growth conditions, harvest time, and organs for effective use of published microarray data.

Discussion:

  • MIAME/Plant is proposed as a standard to capture essential biological details for plant microarray experiments.
  • This standard aims to improve the systematic annotation of plant transcriptome data.
  • Enhanced annotation will increase the utility and accessibility of existing plant microarray datasets.

Key Insights:

  • Current MIAME guidelines are insufficient for detailed plant microarray experiment interpretation.

Related Experiment Videos

  • MIAME/Plant addresses the need for organism-specific biological annotations in plant science.
  • Systematic annotation significantly boosts the value of transcriptome data.
  • Outlook:

    • Wider adoption of MIAME/Plant is expected to enhance the power of plant transcriptome data warehouses.
    • Improved experimental annotation will facilitate more robust comparative analyses across studies.
    • This initiative aims to maximize the scientific community's use of plant gene expression data.