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 Concept Videos

DNA Microarrays02:34

DNA Microarrays

19.2K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
19.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pathological PNPase variants with altered RNA binding and degradation activity affect the phenotype of bacterial and human cell models.

NAR molecular medicine·2025
Same author

A histone-centric multi-omics study shows that increased H3K4 methylation sustains triple-negative breast cancer phenotypes.

Nature communications·2025
Same author

SOX2 and NR2F1 coordinate the gene expression program of the early postnatal visual thalamus.

Biology open·2025
Same author

Endo-bind-n-seq: identifying RNA motifs of RNA binding proteins isolated from endogenous sources.

Life science alliance·2024
Same author

Mechanism of efficacy of trabectedin against myxoid liposarcoma entails detachment of the FUS-DDIT3 transcription factor from its DNA binding sites.

Journal of experimental & clinical cancer research : CR·2024
Same author

Genomic binding of NF-Y in mouse and human cells.

Genomics·2024
Same journal

RETRACTED: Wang et al. Integrated Analysis of Physiological and Transcriptional Mechanisms in Response to Drought Stress in <i>Scaevola taccada</i> Seedlings. <i>Plants</i> 2026, <i>15</i>, 970.

Plants (Basel, Switzerland)·2026
Same journal

RETRACTED: Russo et al. Chamazulene-Rich <i>Artemisia arborescens</i> Essential Oils Affect the Cell Growth of Human Melanoma Cells. <i>Plants</i> 2020, <i>9</i>, 1000.

Plants (Basel, Switzerland)·2026
Same journal

Correction: Terletskaya et al. Soil-Climatic Drivers of Anatomical and Metabolic Plasticity in <i>Rheum tataricum</i> L.f. Across Arid Landscapes of Kazakhstan. <i>Plants</i> 2026, <i>15</i>, 1025.

Plants (Basel, Switzerland)·2026
Same journal

Correction: Damásio et al. Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach. <i>Plants</i> 2023, <i>12</i>, 4142.

Plants (Basel, Switzerland)·2026
Same journal

Apple Leaf Disease Detection Based on Improved YOLOv11 with DSSA Mechanism.

Plants (Basel, Switzerland)·2026
Same journal

New Pollen Morphological Perspectives into <i>Vernonia</i> (Compositae-Vernonieae) from Madagascar.

Plants (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Oct 30, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

4.8K

Cleaning the Medicago Microarray Database to Improve Gene Function Analysis.

Francesca Marzorati1, Chu Wang2, Giulio Pavesi2

  • 1Department of Environmental Science and Policy, University of Milan, Via Celoria 10, 20133 Milano, Italy.

Plants (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

This study improved the quality of the Medicago truncatula Gene Expression atlas (MtGEA) database by developing a data cleaning method. This enhances the reliability of transcriptomics data analysis for researchers.

Keywords:
MedicagoMtGEAR programmingcorrelation analysisfunctional genomicsmicroarraytranscriptomics

More Related Videos

Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.5K
Fluorescence-microscopy Screening and Next-generation Sequencing: Useful Tools for the Identification of Genes Involved in Organelle Integrity
12:42

Fluorescence-microscopy Screening and Next-generation Sequencing: Useful Tools for the Identification of Genes Involved in Organelle Integrity

Published on: April 13, 2012

12.5K

Related Experiment Videos

Last Updated: Oct 30, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

4.8K
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.5K
Fluorescence-microscopy Screening and Next-generation Sequencing: Useful Tools for the Identification of Genes Involved in Organelle Integrity
12:42

Fluorescence-microscopy Screening and Next-generation Sequencing: Useful Tools for the Identification of Genes Involved in Organelle Integrity

Published on: April 13, 2012

12.5K

Area of Science:

  • Plant Biology
  • Bioinformatics
  • Genomics

Background:

  • Transcriptomics studies rely on microarray and RNA-Seq technologies, generating vast datasets.
  • Data quality variability across datasets hinders reliable combined analysis.
  • The Medicago truncatula Gene Expression atlas (MtGEA) stores publicly accessible microarray data.

Purpose of the Study:

  • To enhance the quality and reliability of the Medicago truncatula Gene Expression atlas (MtGEA) database.
  • To develop a generalizable method for improving plant microarray data quality.

Main Methods:

  • Implemented a data quality assessment method using logical and statistical relationships.
  • Reduced dataset dimensions by evaluating data quality through expression levels and Pearson correlation.
  • Assessed improvements using Pearson correlation and Gene Ontology (GO) enrichment analysis.

Main Results:

  • Reduced the dataset from 716 to 607 columns by filtering low-quality data.
  • Demonstrated significant improvements in data consistency and reduced false positives/negatives.
  • Validated data quality enhancement through correlation and GO enrichment analyses.

Conclusions:

  • The developed method effectively ameliorates the quality of the MtGEA database.
  • The approach offers a generalizable solution for improving plant microarray data.
  • Future work aims to extend this analysis to other plant microarray databases.