4.7 Article

Advancing the High Throughput Identification of Liver Fibrosis Protein Signatures Using Multiplexed Ion Mobility Spectrometry*

期刊

MOLECULAR & CELLULAR PROTEOMICS
卷 13, 期 4, 页码 1119-1127

出版社

AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.M113.034595

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资金

  1. Washington State Life Sciences Discovery Fund
  2. National Institute of Health General Medical Sciences Proteomic Center at PNNL [2 P41 GM 103493-11]
  3. National Institute of General Medical Sciences [8 P41 GM103493-10]
  4. National Cancer Institute [R21-CA12619-01, U24-CA-160019-01, Y01-CN-05013-29]
  5. National Institute of Environmental Health Sciences of the National Institutes of Health [R01ES022190]
  6. Entertainment Industry Foundation and its Women's Cancer Research Fund
  7. Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory
  8. Department of Energy Office of Biological and Environmental Research Genome Sciences Program
  9. DOE [DE-AC05-76RLO01830]

向作者/读者索取更多资源

Rapid diagnosis of disease states using less invasive, safer, and more clinically acceptable approaches than presently employed is a crucial direction for the field of medicine. While MS-based proteomics approaches have attempted to meet these objectives, challenges such as the enormous dynamic range of protein concentrations in clinically relevant biofluid samples coupled with the need to address human biodiversity have slowed their employment. Herein, we report on the use of a new instrumental platform that addresses these challenges by coupling technical advances in rapid gas phase multiplexed ion mobility spectrometry separations with liquid chromatography and MS to dramatically increase measurement sensitivity and throughput, further enabling future high throughput MS-based clinical applications. An initial application of the liquid chromatography - ion mobility spectrometry-MS platform analyzing blood serum samples from 60 postliver transplant patients with recurrent fibrosis progression and 60 nontransplant patients illustrates its potential utility for disease characterization.

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