Literature DB >> 24403597

Advancing the high throughput identification of liver fibrosis protein signatures using multiplexed ion mobility spectrometry.

Erin Shammel Baker1, Kristin E Burnum-Johnson, Jon M Jacobs, Deborah L Diamond, Roslyn N Brown, Yehia M Ibrahim, Daniel J Orton, Paul D Piehowski, David E Purdy, Ronald J Moore, William F Danielson, Matthew E Monroe, Kevin L Crowell, Gordon W Slysz, Marina A Gritsenko, John D Sandoval, Brian L Lamarche, Melissa M Matzke, Bobbie-Jo M Webb-Robertson, Brenna C Simons, Brian J McMahon, Renuka Bhattacharya, James D Perkins, Robert L Carithers, Susan Strom, Steven G Self, Michael G Katze, Gordon A Anderson, Richard D Smith.   

Abstract

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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Year:  2014        PMID: 24403597      PMCID: PMC3977189          DOI: 10.1074/mcp.M113.034595

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  32 in total

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4.  Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.

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Review 5.  Selected reaction monitoring applied to proteomics.

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Review 7.  Non-invasive assessment of chronic liver and gastric diseases.

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Journal:  Clin Chim Acta       Date:  2007-02-20       Impact factor: 3.786

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Authors:  Sandeep Mukherjee; Michael F Sorrell
Journal:  Semin Liver Dis       Date:  2006-11       Impact factor: 6.115

9.  Galectin-3-binding protein: a serological and histological assessment in accordance with hepatitis C-related liver fibrosis.

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Review 10.  Hepatitis C virus infection.

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  29 in total

1.  Enhancing bottom-up and top-down proteomic measurements with ion mobility separations.

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Journal:  Proteomics       Date:  2015-07-03       Impact factor: 3.984

2.  Muscle Segment Homeobox Genes Direct Embryonic Diapause by Limiting Inflammation in the Uterus.

Authors:  Jeeyeon Cha; Kristin E Burnum-Johnson; Amanda Bartos; Yingju Li; Erin S Baker; Susan C Tilton; Bobbie-Jo M Webb-Robertson; Paul D Piehowski; Matthew E Monroe; Anil G Jegga; Shigeo Murata; Yasushi Hirota; Sudhansu K Dey
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3.  Identification of Hip BMD Loss and Fracture Risk Markers Through Population-Based Serum Proteomics.

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Journal:  J Bone Miner Res       Date:  2017-04-06       Impact factor: 6.741

4.  Improved Sensitivity and Separations for Phosphopeptides using Online Liquid Chromotography Coupled with Structures for Lossless Ion Manipulations Ion Mobility-Mass Spectrometry.

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Review 7.  Proteomics analysis of bodily fluids in pancreatic cancer.

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Journal:  Proteomics       Date:  2015-04-27       Impact factor: 3.984

8.  Longitudinal proteomics analysis in the immediate microenvironment of islet allografts during progression of rejection.

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Authors:  Lily Khadempour; Kristin E Burnum-Johnson; Erin S Baker; Carrie D Nicora; Bobbie-Jo M Webb-Robertson; Richard A White; Matthew E Monroe; Eric L Huang; Richard D Smith; Cameron R Currie
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Review 10.  Targeting the untargeted in molecular phenomics with structurally-selective ion mobility-mass spectrometry.

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Journal:  Curr Opin Biotechnol       Date:  2016-04-29       Impact factor: 9.740

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