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...

Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

You might also read

Related Articles

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

Sort by

Same author

Outcomes of Talimogene Laherparepvec in Soft Tissue Sarcoma.

Journal of surgical oncology·2026

Same author

Identification of TAP2 protein variants resistant to inhibition by the HSV1 ICP47 protein.

bioRxiv : the preprint server for biology·2024

Same author

A multicenter, randomized, non-comparative, phase II study of nivolumab ± ipilimumab for patients with metastatic sarcoma (Alliance A091401): expansion cohorts and correlative analyses.

Journal for immunotherapy of cancer·2024

Same author

Afamitresgene autoleucel for advanced synovial sarcoma and myxoid round cell liposarcoma (SPEARHEAD-1): an international, open-label, phase 2 trial.

Lancet (London, England)·2024

Same author

Multiplexed assay of variant effect reveals residues of functional importance in the BRCA1 coiled-coil and serine cluster domains.

PloS one·2023

Same author

Sorafenib-Induced Capillary Leak Syndrome.

Case reports in oncology·2023

Search research articles

Related Experiment Video

Updated: May 7, 2026

Fabrication and Use of MicroEnvironment microArrays (MEArrays)

Fabrication and Use of MicroEnvironment microArrays (MEArrays)

Published on: October 11, 2012

MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell

David A Liebner¹, Kun Huang, Jeffrey D Parvin

¹Division of Medical Oncology, Department of Internal Medicine, Department of Biomedical Informatics and Comprehensive Cancer Center, Biomedical Informatics Shared Resource, The Ohio State University, Columbus OH 43210, USA.

Bioinformatics (Oxford, England)

|October 3, 2013

Summary

A new computational method, microarray microdissection with analysis of differences (MMAD), enables in silico tissue microdissection. This approach enhances the detection of differentially expressed genes in complex biological samples.

More Related Videos

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Related Experiment Videos

Last Updated: May 7, 2026

Fabrication and Use of MicroEnvironment microArrays (MEArrays)

Fabrication and Use of MicroEnvironment microArrays (MEArrays)

Published on: October 11, 2012

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Tissue heterogeneity poses a major challenge for developing reliable microarray biomarkers.
Physical cell separation methods are costly, labor-intensive, and hinder the study of cell-cell interactions.

Purpose of the Study:

To develop a computational tool for in silico tissue microdissection.
To overcome limitations of physical cell separation techniques in analyzing heterogeneous tissues.

Main Methods:

Developed microarray microdissection with analysis of differences (MMAD), a novel computational approach.
MMAD performs in silico microdissection, estimating cell fractions and gene expression profiles simultaneously.
The method incorporates adjustments for normalization bias and uses corrected Akaike information criterion to prevent overfitting.

Main Results:

MMAD demonstrated high correlation between predicted and measured gene expression in pure tissues.
Accurate estimation of cell fractions for individual cell types was achieved.
MMAD showed superior performance in detecting differentially expressed genes in mixed tissues compared to existing methods.

Conclusions:

MMAD is a robust computational tool for in silico tissue microdissection.
The developed method improves the detection of differentially expressed genes in heterogeneous samples.
MMAD software is publicly available for use in MATLAB.