Abstract

Acute Respiratory Distress Syndrome (ARDS) is a devastating cause of hypoxic respiratory failure, which continues to have high mortality. It is expected that a comprehensive systems- level approach will identify global and complex changes that contribute to the development of ARDS and subsequent repair of the damaged lung. In the last decade, powerful genome-wide analytical and informatics tools have been developed, that have provided valuable insights into the mechanisms of complex diseases such as ARDS. These tools include the rapid and precise measure of gene expression at the proteomic level. This article reviews the contemporary proteomics platforms that are available for comprehensive studies in ARDS. The challenges of various biofluids that could be investigated and some of the studies performed are also discussed.Electronic supplementary materialThe online version of this article (doi:10.1186/s40169-014-0034-1) contains supplementary material, which is available to authorized users.

Highlights

  • Biological systems function via intricate orchestrated cellular processes in which various cellular entities participate in a tightly regulated manner

  • Some of these reviews have described the principles of electrophoresis, the gel based methodologies and basic principles of mass spectrometry (MS) [7]

  • Separation methods Prior to MS protein identification and measurement peptide mixtures such as a protein from excised gel band could be separated by I-D liquid chromatography (LC) [39]. 2D- LC is used for fractionation of complex peptide mixtures such as tissue or cellular proteins [29]

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Summary

Introduction

Biological systems function via intricate orchestrated cellular processes in which various cellular entities participate in a tightly regulated manner. ‘Bottom-up’ proteomics studies are typically implemented for discovery-based experiments that provide protein identification and can provide relative and absolute protein quantitative measurements with the appropriate experimental design.

Results
Conclusion
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