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

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

ERG orchestrates a dedifferentiation-senescence-inflammation triad in prostate cancer.

Molecular cancer research : MCR·2026
Same author

High folate receptor expression is associated with aggressive features in prostate cancer with low prostate-specific membrane antigen expression.

BJUI compass·2026
Same author

Neoadjuvant Sacituzumab Govitecan in Patients With Muscle-Invasive Bladder Cancer: Primary Results of the SURE-01 Trial.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026
Same author

Characterizing the Activity of Inflammasome-Related Genes and Their Association With Oncological Outcomes in Prostate Cancer.

The Prostate·2026
Same author

Development of an extended version of GALEAS bladder: Detection of FGFR3 fusions in urine and associations between genomic alterations and gene expression.

Bladder cancer (Amsterdam, Netherlands)·2026
Same author

The role of HAI-1 in urothelial bladder cancer: Tissue expression, ectodomain shedding and clinical outcomes.

Biochemistry and biophysics reports·2026
Same journal

Epigenetic CD4+ T-Cell Quantification from Dried Blood Spots Using a qPCR-Based Assay.

The Journal of molecular diagnostics : JMD·2026
Same journal

Segmental Copy Number Variant Detection Using an Amplicon-based NGS Panel for Integrated Glioma Classification.

The Journal of molecular diagnostics : JMD·2026
Same journal

Clinical Validation of the Roche cobas and cobas 4800 Human Papillomavirus Tests on Self-Collected Vaginal Dry Swabs versus Practitioner-Collected Cervical Specimens Using the VALHUDES Protocol.

The Journal of molecular diagnostics : JMD·2026
Same journal

Long-Read Nanopore Sequencing Enhances BRCA1/2 Variant Detection Compared with Ion Torrent Analysis.

The Journal of molecular diagnostics : JMD·2026
Same journal

Endonuclease-Assisted Selective Exponential Amplification for Ultrasensitive Enrichment and Detection of Low-Abundance Mutant Alleles in Lung Cancer.

The Journal of molecular diagnostics : JMD·2026
Same journal

Validation of NTRK Fusion Detection Using an Ultrarapid, Fully Automated Cartridge-Based PCR Assay.

The Journal of molecular diagnostics : JMD·2026
See all related articles

Related Experiment Video

Updated: Jun 12, 2026

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
09:20

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

Published on: September 2, 2013

Quantitative expression profiling in formalin-fixed paraffin-embedded samples by affymetrix microarrays.

Diana Abdueva1, Michele Wing, Betty Schaub

  • 1Department of Pathology, Children's Hospital Los Angeles, Research Institute and Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

The Journal of Molecular Diagnostics : JMD
|June 5, 2010
PubMed
Summary
This summary is machine-generated.

Archived FFPE samples yield reliable microarray gene expression data, comparable to fresh-frozen tissues. This study validates FFPE for expression profiling and differential analysis.

More Related Videos

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Related Experiment Videos

Last Updated: Jun 12, 2026

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
09:20

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue

Published on: September 2, 2013

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Systematic characterization of microarray gene expression signal performance using degraded RNA from formalin-fixed, paraffin-embedded (FFPE) tissues versus intact RNA from fresh-frozen (FF) specimens is limited.
  • Understanding RNA quality impact on gene expression profiling is crucial for utilizing archived samples.

Purpose of the Study:

  • To systematically compare microarray gene expression signal performance between FFPE and FF tissues.
  • To evaluate the impact of RNA degradation on probe-level and gene-level expression data.
  • To establish guidelines for using FFPE samples in expression profiling studies.

Main Methods:

  • RNA extraction and isolation from paired tumor and normal kidney, lung, and colon tissue specimens (FFPE and FF).
  • Microarray signal dynamics evaluation at raw probe and probeset levels.
  • Development of a contrast metric to compare FFPE and FF microarray signals.
  • Comparison of gene-level summaries to determine expression profile overlap.

Main Results:

  • RNA from FFPE tissues was more degraded and fragmented than from FF tissues, leading to a reduced dynamic range of expression signal.
  • Probe performance was not uniform, declining significantly toward the 5' end of genes.
  • Key differences between FFPE and FF signals were consistent across tissue types and enriched with ribosomal genes.

Conclusions:

  • Archived FFPE samples are suitable for profiling expression signatures and assessing differential expression, similar to FF tissues.
  • FFPE-derived expression data can be reliably used for discovery, validation, and clinical applications.
  • The study provides essential guidelines for effective microarray expression profiling with FFPE material.