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DNA Microarrays

DNA Microarrays

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...

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Related Experiment Video

Updated: Apr 8, 2026

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 10, 2009

DNA microarray integromics analysis platform.

Tomasz Waller¹, Tomasz Gubała², Krzysztof Sarapata³

¹Institute of Computer Science, Division of Biomedical Computer Systems, University of Silesia, Katowice, Poland ; Academic Computer Centre CYFRONET, AGH University of Science and Technology, Kraków, Poland.

|June 26, 2015

Summary

This summary is machine-generated.

The DNA Microarray Integromics Analysis Platform offers integrated analysis of multi-omics data, including transcriptomics and lipidomics. This web tool aids researchers in complex molecular biology studies.

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Last Updated: Apr 8, 2026

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 10, 2009

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning

Published on: March 15, 2011

Performing Custom MicroRNA Microarray Experiments

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

Area of Science:

Molecular Biology
Bioinformatics
Genomics
Lipidomics
Transcriptomics

Background:

Analyzing interactions between diverse biochemical families (e.g., lipids, nucleic acids) necessitates specialized computational methods.
The integration of multi-omics data presents a significant challenge in modern biological research.

Purpose of the Study:

To introduce the DNA Microarray Integromics Analysis Platform, a novel web application for computational integration and analysis of multi-omics data.
To showcase the platform's capabilities in handling complex biological data, including DNA microarray, transcriptomics, and lipidomics.

Main Methods:

Development and implementation of a web-based graphical user interface for multi-omics data management.
Integration of diverse analytical workflows, including DNA microarray analysis (low- and high-level), transcriptomics-lipidomics integration, and miRNA-mRNA interaction inference.
Validation of the platform using two distinct test cases: the nutrimouse dataset and miRNA-mRNA interactions in virus-infected cells.

Main Results:

Demonstration of the platform's utility in analyzing the nutrimouse dataset, revealing insights into gene expression and hepatic fatty acid concentrations.
Successful application of the platform to infer miRNA-mRNA interactions in human dermal fibroblasts under specific experimental conditions.
Validation of the platform's capacity for integrated analysis of transcriptomics and lipidomics data.

Conclusions:

The DNA Microarray Integromics Analysis Platform provides an intuitive and effective web-based solution for multi-omics data management and analysis.
The platform's comprehensive workflows support various molecular biology research needs, facilitating complex data integration and interpretation.
The tool is accessible at https://lifescience.plgrid.pl/ for researchers.