Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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...

You might also read

Related Articles

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

Sort by

Same author

Re-evaluating breast malignant pleural effusion: toward evidence-based, precision-aligned care with organoids.

Frontiers in bioengineering and biotechnology·2026

Same author

Large-scale association study identifies lung cancer susceptibility copy number variants and their potential functional role in genetic instability.

medRxiv : the preprint server for health sciences·2026

Same author

Incidence and lung cancer probability of new nodules in the UK lung screening trial.

European journal of cancer (Oxford, England : 1990)·2026

Same author

The patient journey and guideline-concordant care in colorectal cancer-is current practice enough?

Frontiers in medicine·2026

Same author

Combined occupational exposure to carcinogenic metals/metalloids and risk of lung cancer.

Frontiers in oncology·2026

Same author

Genes associated with genetic and rare lung diseases and the risk of lung cancer.

BMC cancer·2026

Search research articles

Related Experiment Video

Updated: Jul 4, 2026

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Published on: October 10, 2025

Generation of a non-small cell lung cancer transcriptome microarray.

Austin Tanney¹, Gavin R Oliver, Vadim Farztdinov

¹Almac Diagnostics Ltd, 19 Seagoe Industrial Estate, Craigavon, BT63 5QD, UK. Austin.Tanney@almacgroup.com

BMC Medical Genomics

|June 3, 2008

Summary

Researchers developed a novel lung cancer microarray to identify biomarkers for non-small cell lung cancer (NSCLC). This disease-specific tool interrogates thousands of transcripts, improving diagnostic and therapeutic strategies for this leading cancer mortality cause.

More Related Videos

Ultra-Fast Amplicon-Based Next-Generation Sequencing in Non-Squamous Non-Small Cell Lung Cancer

Ultra-Fast Amplicon-Based Next-Generation Sequencing in Non-Squamous Non-Small Cell Lung Cancer

Published on: September 8, 2023

Related Experiment Videos

Last Updated: Jul 4, 2026

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Published on: October 10, 2025

Ultra-Fast Amplicon-Based Next-Generation Sequencing in Non-Squamous Non-Small Cell Lung Cancer

Ultra-Fast Amplicon-Based Next-Generation Sequencing in Non-Squamous Non-Small Cell Lung Cancer

Published on: September 8, 2023

Area of Science:

Oncology
Genomics
Biomarker Discovery

Background:

Non-small cell lung cancer (NSCLC) is the primary cause of cancer-related deaths globally.
Current diagnostic and management strategies for NSCLC lack reliable predictive biomarkers.
Existing microarray platforms lack disease-specific focus, potentially missing crucial information in patient tissues.

Purpose of the Study:

To develop a disease-focused microarray for non-small cell lung cancer (NSCLC) research.
To identify novel biomarkers for improved NSCLC management.
To create a template for developing other disease-specific transcriptome microarrays.

Main Methods:

Utilized large-scale in-house sequencing and gene expression profiling.
Conducted extensive mining of public sequence and gene expression data.
Integrated data to design and generate the Lung Cancer Disease Specific Array (DSA) research tool.

Main Results:

Developed the Lung Cancer DSA, a high-density microarray on the Affymetrix GeneChip platform.
The array enables interrogation of approximately 60,000 transcripts relevant to lung cancer.
Tens of thousands of transcripts on the Lung Cancer DSA are not available on commercial microarrays.

Conclusions:

Successfully developed the first high-density, disease-specific transcriptome microarray for lung cancer.
Demonstrated the utility of the Lung Cancer DSA through experimental validation.
The developed approach provides a model for creating similar microarrays for other diseases, including non-neoplastic conditions.