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Updated: May 14, 2026

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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Affinity-based microarrays for proteomic analysis of cancer tissues
Jörg D Hoheisel1, Mohamed S S Alhamdani, Christoph Schröder
1Division of Functional Genome Analysis, Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 580, Heidelberg, Germany. j.hoheisel@dkfz.de
Proteomics. Clinical Applications
|January 24, 2013
Summary
Antibody microarrays now enable detailed human proteome analysis. This review covers methods for robust, sensitive protein profiling in tissues and body fluids, advancing personalized medicine.
Area of Science:
- Biochemistry
- Proteomics
- Biotechnology
Background:
- Antibody microarray technology has advanced significantly over the past decade.
- Technical challenges in proteome analysis, including kinetic and mass transport limitations, have been addressed.
- Developments in protein extraction ensure good solubilization, reproducible yields, and preservation of native protein conformation.
Purpose of the Study:
- To review methodological aspects of antibody microarray analysis for biomedical applications.
- To highlight the potential of proteomic studies for personalized medicine.
- To discuss the feasibility of high-quality tissue proteome analysis for clinical use.
Main Methods:
- Utilizing antibody microarrays for simultaneous, global investigations of the human proteome.
- Implementing robust protein extraction procedures.
- Overcoming technical limitations in microarray assay performance.
Main Results:
- The overall analysis process is robust, reproducible, and highly sensitive, reaching single-molecule detection levels.
- Simultaneous analysis of multiple parameters across numerous molecules is achievable.
- Tissue proteome analysis can now meet clinical application standards.
Conclusions:
- Antibody microarrays provide powerful tools for detailed proteomic investigations.
- Methodological advancements facilitate high-quality analysis of cellular and tissue samples.
- These techniques hold significant promise for advancing personalized medicine approaches.
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