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Related Concept Videos

Proteomics01:33

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...

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Updated: May 31, 2026

Digital Microfluidics for Automated Proteomic Processing
10:55

Digital Microfluidics for Automated Proteomic Processing

Published on: November 6, 2009

Integrated multifunctional microfluidics for automated proteome analyses.

John K Osiri1, Hamed Shadpour, Małgorzata A Witek

  • 1Department of Chemistry, Louisiana State University, Baton Rouge, LA 70817, USA.

Topics in Current Chemistry
|June 17, 2011
PubMed
Summary
This summary is machine-generated.

Fully integrated microfluidic systems for proteomics face challenges due to complex samples. This review explores microfluidic devices for individual and integrated proteome processing steps.

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Last Updated: May 31, 2026

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Area of Science:

  • Proteomics
  • Microfluidics
  • Analytical Chemistry

Background:

  • Proteomics presents significant challenges for integrated microfluidic systems due to sample complexity, including vast numbers of protein types, wide dynamic ranges, and diverse chemical properties.
  • The human proteome alone contains over 10^6 components with a dynamic range exceeding 10^10, complicating analysis.
  • Current proteomics workflows involve protein extraction, multidimensional separation, proteolytic digestion, and mass spectrometry-based identification (top-down or bottom-up).

Purpose of the Study:

  • To review the challenges and current state of microfluidic devices and systems for front-end proteome processing.
  • To discuss the integration of individual microfluidic devices into autonomous systems for complete proteome analysis.
  • To highlight approaches for overcoming integration challenges in microfluidic proteomics.

Main Methods:

  • Review of existing literature on microfluidic devices for individual proteomics steps, including multidimensional electrophoresis, solid-phase enzymatic digestion, and solid-phase extraction.
  • Analysis of microfluidic systems, defined as autonomous assemblies of two or more devices for proteome processing.
  • Discussion of challenges and strategies for integrating multiple processing steps within microfluidic platforms.

Main Results:

  • Numerous microfluidic devices have been developed for individual proteomics processing steps, demonstrating the potential of microfluidic platforms.
  • Fully integrated microfluidic systems for complete proteome processing remain largely unrealized, despite advancements in individual components.
  • Various approaches exist for device integration, but significant challenges persist in creating seamless autonomous systems.

Conclusions:

  • Microfluidics offers a promising platform for advancing proteomics analysis, with successful implementations of individual processing steps.
  • The integration of these steps into fully autonomous microfluidic systems is a critical bottleneck for comprehensive proteome processing.
  • Further research into device integration strategies is essential to realize the full potential of microfluidic systems in proteomics.