Literature DB >> 16414315

Protein depletion from blood plasma using a volatile buffer.

Dmitri Sitnikov1, Donovan Chan, Eric Thibaudeau, Marc Pinard, Joanna M Hunter.   

Abstract

Removal of high abundance proteins is widely used in sample processing for proteomics studies of blood plasma. Immunoaffinity (IA) depletion is currently the most specific method for performing this step. Historically, IA depletion matrices have been designed to be used with inorganic buffers. However, the presence of salts in depleted samples presents a particular problem, and these must be removed in order to make samples compatible with post-depletion processing. Desalting (dialysis, ultrafiltration, size-exclusion, etc.) usually diminishes sample integrity due to labware associated losses. Moreover, these steps require additional labor, increasing the processing time and cost of analysis. In order to avoid these problems, we have developed an IA method using a volatile buffer that can be removed from depleted samples by lyophilization. This method allows the execution of reproducible and efficient depletion of blood plasma in a semi-automated manner.

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Year:  2006        PMID: 16414315     DOI: 10.1016/j.jchromb.2005.12.013

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  4 in total

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Journal:  Proteomics Clin Appl       Date:  2008-07-01       Impact factor: 3.494

3.  Application of mass spectrometry-based proteomics for biomarker discovery in neurological disorders.

Authors:  Abhilash Venugopal; Raghothama Chaerkady; Akhilesh Pandey
Journal:  Ann Indian Acad Neurol       Date:  2009-01       Impact factor: 1.383

4.  Online monitoring of immunoaffinity-based depletion of high-abundance blood proteins by UV spectrophotometry using enhanced green fluorescence protein and FITC-labeled human serum albumin.

Authors:  Kyunggon Kim; Jiyoung Yu; Hophil Min; Hyunsoo Kim; Byungwook Kim; Hyeong Gon Yu; Youngsoo Kim
Journal:  Proteome Sci       Date:  2010-12-01       Impact factor: 2.480

  4 in total

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