Literature DB >> 12716133

Comparative urine protein phenotyping using mass spectrometric immunoassay.

Urban A Kiernan1, Kemmons A Tubbs, Dobrin Nedelkov, Eric E Niederkofler, Elizabeth McConnell, Randall W Nelson.   

Abstract

Reported here, human urine samples were analyzed for beta-2-microglobulin (beta2m), transthyretin (TTR), cystatin C, urine protein 1 (UP1), retinol binding protein (RBP), albumin, transferrin, and human neutrophil defensin peptides (HNP) using mass spectrometric immunoassay (MSIA). MSIA is a unique analytical technique, which allows for the generation of distinct protein profiles of specific target proteins from each subject, which may be subsequently used in comparative protein expression profiling between all subjects. Comparative profiling allows for the rapid identification of variations within individual protein expression profiles. Although the majority of analyses performed in this study revealed homology between study participants, roughly one-quarter showed variation in the protein profiles. Some of these observed variants included a point mutation in TTR, absence of wild-type RBP, monomeric forms UP1, a novel beta2m glycated end product and altered HNP ratios. MSIA has been previously used in the analysis of blood proteins, but this study shows how MSIA easily transitions to the analysis, of urine samples. This study displays how qualitative urine protein differentiation is readily achievable with MSIA and is useful in identifying proteomic differences between subjects that might be otherwise overlooked with other analytical techniques due to complexity of the resulting data or insufficient sensitivity.

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Year:  2003        PMID: 12716133     DOI: 10.1021/pr025574c

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


  10 in total

1.  Shortcomings in methodology complicate measurements of serum retinol binding protein (RBP4) in insulin-resistant human subjects.

Authors:  T E Graham; C J Wason; M Blüher; B B Kahn
Journal:  Diabetologia       Date:  2007-02-09       Impact factor: 10.122

Review 2.  Candidate-based proteomics in the search for biomarkers of cardiovascular disease.

Authors:  Leigh Anderson
Journal:  J Physiol       Date:  2004-12-20       Impact factor: 5.182

Review 3.  Human body fluid proteome analysis.

Authors:  Shen Hu; Joseph A Loo; David T Wong
Journal:  Proteomics       Date:  2006-12       Impact factor: 3.984

4.  Glycosylation status of vitamin D binding protein in cancer patients.

Authors:  Douglas S Rehder; Randall W Nelson; Chad R Borges
Journal:  Protein Sci       Date:  2009-10       Impact factor: 6.725

Review 5.  Mass spectrometric immunoassay and MRM as targeted MS-based quantitative approaches in biomarker development: potential applications to cardiovascular disease and diabetes.

Authors:  Hussein Yassine; Chad R Borges; Matthew R Schaab; Dean Billheimer; Craig Stump; Peter Reaven; Serrine S Lau; Randall Nelson
Journal:  Proteomics Clin Appl       Date:  2013-07-09       Impact factor: 3.494

6.  Identification of low-abundance proteins via fractionation of the urine proteome with weak anion exchange chromatography.

Authors:  Chih-Ming Lu; Yu-Jen Wu; Cheng-Chi Chen; Jue-Liang Hsu; Jiing-Chuan Chen; Jeff Yi-Fu Chen; Chun-Hsiung Huang; Ying-Chin Ko
Journal:  Proteome Sci       Date:  2011-04-08       Impact factor: 2.480

7.  Microheterogeneity of transthyretin in serum and ascitic fluid of ovarian cancer patients.

Authors:  Beate Gericke; Jens Raila; Jalid Sehouli; Sophie Haebel; Dominique Könsgen; Alexander Mustea; Florian J Schweigert
Journal:  BMC Cancer       Date:  2005-10-17       Impact factor: 4.430

8.  Unrestrictive identification of post-translational modifications in the urine proteome without enrichment.

Authors:  Liu Liu; Xuejiao Liu; Wei Sun; Mingxi Li; Youhe Gao
Journal:  Proteome Sci       Date:  2013-01-14       Impact factor: 2.480

9.  Characterization of the microheterogeneity of transthyretin in plasma and urine using SELDI-TOF-MS immunoassay.

Authors:  Florian J Schweigert; Kerstin Wirth; Jens Raila
Journal:  Proteome Sci       Date:  2004-09-01       Impact factor: 2.480

10.  A panel of tumor markers, calreticulin, annexin A2, and annexin A3 in upper tract urothelial carcinoma identified by proteomic and immunological analysis.

Authors:  Chih-Ming Lu; Jen-Jie Lin; Han-Hsiang Huang; Ying-Chin Ko; Jue-Liang Hsu; Jiing-Chuan Chen; Zhong-Hao Din; Yu-Jen Wu
Journal:  BMC Cancer       Date:  2014-05-23       Impact factor: 4.430

  10 in total

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