Literature DB >> 16083256

Utilizing human blood plasma for proteomic biomarker discovery.

Jon M Jacobs1, Joshua N Adkins, Wei-Jun Qian, Tao Liu, Yufeng Shen, David G Camp, Richard D Smith.   

Abstract

Candidate proteomic biomarker discovery from human plasma holds both incredible clinical potential as well as significant challenges. The dynamic range of proteins within plasma is known to exceed 10(10), and many potential biomarkers are likely present at lower protein abundances. At present, proteomic based MS analyses provide a dynamic range typically not exceeding approximately 10(3) in a single spectrum, and approximately 10(4)-10(6) when combined with on-line separations (e.g., reversed-phase gradient liquid chromatography), and thus are generally insufficient for low level biomarker detection directly from human plasma. This limitation is providing an impetus for the development of experimental methodologies and strategies to increase the possible number of detections within this biofluid. Discussed is the diversity of available approaches currently used by our laboratory and others to utilize human plasma as a viable medium for biomarker discovery. Various separation, depletion, enrichment, and quantitative efforts as well as recent improvements in MS capabilities have resulted in measurable improvements in the detection and identification of lower abundance proteins (by approximately 10-10(2)). Despite these improvements, further advances are needed to provide a basis for discovery of candidate biomarkers at very low levels. Continued development of depletion and enrichment techniques, coupled with improved pre-MS separations (both at the protein and peptide level) holds promise in extending the dynamic range of proteomic analysis.

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Year:  2005        PMID: 16083256     DOI: 10.1021/pr0500657

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  82 in total

1.  Delineating diseases by IMS-MS profiling of serum N-linked glycans.

Authors:  Dragan Isailovic; Manolo D Plasencia; Maissa M Gaye; Sarah T Stokes; Ruwan T Kurulugama; Vitara Pungpapong; Min Zhang; Zuzana Kyselova; Radoslav Goldman; Yehia Mechref; Milos V Novotny; David E Clemmer
Journal:  J Proteome Res       Date:  2011-12-30       Impact factor: 4.466

2.  Combining ultracentrifugation and peptide termini group-specific immunoprecipitation for multiplex plasma protein analysis.

Authors:  Sonja Volk; Thomas D Schreiber; David Eisen; Calvin Wiese; Hannes Planatscher; Christopher J Pynn; Dieter Stoll; Markus F Templin; Thomas O Joos; Oliver Pötz
Journal:  Mol Cell Proteomics       Date:  2012-04-23       Impact factor: 5.911

3.  Proteomic technologies for the discovery of type 1 diabetes biomarkers.

Authors:  Wenbo Zhi; Sharad Purohit; Colleen Carey; Meiyao Wang; Jin-Xiong She
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

Review 4.  Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications.

Authors:  Wei-Jun Qian; Jon M Jacobs; Tao Liu; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-08-03       Impact factor: 5.911

5.  Combinatorial peptide ligand library treatment followed by a dual-enzyme, dual-activation approach on a nanoflow liquid chromatography/orbitrap/electron transfer dissociation system for comprehensive analysis of swine plasma proteome.

Authors:  Chengjian Tu; Jun Li; Rebeccah Young; Brian J Page; Frank Engler; Marc S Halfon; John M Canty; Jun Qu
Journal:  Anal Chem       Date:  2011-05-26       Impact factor: 6.986

6.  Proteomic analysis of haptoglobin and amyloid A protein levels in patients with vivax malaria.

Authors:  Young Yil Bahk; Byoung-Kuk Na; Shin-Hyeong Cho; Jung-Yeon Kim; Kook-Jin Lim; Tong-Soo Kim
Journal:  Korean J Parasitol       Date:  2010-09-16       Impact factor: 1.341

7.  An LC-IMS-MS platform providing increased dynamic range for high-throughput proteomic studies.

Authors:  Erin Shammel Baker; Eric A Livesay; Daniel J Orton; Ronald J Moore; William F Danielson; David C Prior; Yehia M Ibrahim; Brian L LaMarche; Anoop M Mayampurath; Athena A Schepmoes; Derek F Hopkins; Keqi Tang; Richard D Smith; Mikhail E Belov
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

8.  Assessment of albumin removal from an immunoaffinity spin column: critical implications for proteomic examination of the albuminome and albumin-depleted samples.

Authors:  Rebekah L Gundry; Melanie Y White; Julie Nogee; Irina Tchernyshyov; Jennifer E Van Eyk
Journal:  Proteomics       Date:  2009-04       Impact factor: 3.984

9.  Identification of five candidate lung cancer biomarkers by proteomics analysis of conditioned media of four lung cancer cell lines.

Authors:  Chris Planque; Vathany Kulasingam; Chris R Smith; Karen Reckamp; Lee Goodglick; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2009-09-23       Impact factor: 5.911

10.  Automated platform for fractionation of human plasma glycoproteome in clinical proteomics.

Authors:  Majlinda Kullolli; William S Hancock; Marina Hincapie
Journal:  Anal Chem       Date:  2010-01-01       Impact factor: 6.986

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