Literature DB >> 20414880

A magnetic bead-based serum proteomic fingerprinting method for parallel analytical analysis and micropreparative purification.

Melody Y M Wong1, Karen O Y Yu, Terence C W Poon, Irene L Ang, Man-Ki Law, Kiwi Y W Chan, Eddy W Y Ng, Sai-Ming Ngai, Joseph J Y Sung, Henry L Y Chan.   

Abstract

ProteinChip surface-enhanced laser desorption/ionization technology and magnetic beads-based ClinProt system are commonly used for semi-quantitative profiling of plasma proteome in biomarker discovery. Unfortunately, the proteins/peptides detected by MS are non-recoverable. To obtain the protein identity of a MS peak, additional time-consuming and material-consuming purification steps have to be done. In this study, we developed a magnetic beads-based proteomic fingerprinting method that allowed semi-quantitative proteomic profiling and micropreparative purification of the profiled proteins in parallel. The use of different chromatographic magnetic beads allowed us to obtain different proteomic profiles, which were comparable to those obtained by the ProteinChip surface-enhanced laser desorption/ionization technology. Our assays were semi-quantitative. The normalized peak intensity was proportional to concentration measured by immunoassay. Both intra-assay and inter-assay coefficients of variation of the normalized peak intensities were in the range of 4-30%. Our method only required 2 microL of serum or plasma for generating enough proteins for semi-quantitative profiling by MALDI-TOF-MS as well as for gel electrophoresis and subsequent protein identification. The protein peaks and corresponding gel spots could be easily matched by comparing their intensities and masses. Because of its high efficiency and reproducibility, our method has great potentials in clinical research, especially in biomarker discovery.

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Year:  2010        PMID: 20414880     DOI: 10.1002/elps.200900571

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  9 in total

1.  Microwave & Magnetic (M2) Proteomics of a Mouse Model of Mild Traumatic Brain Injury.

Authors:  Teresa M Evans; Holly Van Remmen; Anjali Purkar; Swetha Mahesula; J Al Gelfond; Marian Sabia; Wenbo Qi; Ai-Ling Lin; Carlos A Jaramillo; William E Haskins
Journal:  Transl Proteom       Date:  2014-06-01

2.  Host-response biomarkers for diagnosis of late-onset septicemia and necrotizing enterocolitis in preterm infants.

Authors:  Pak Cheung Ng; Irene Ling Ang; Rossa Wai Kwun Chiu; Karen Li; Hugh Simon Lam; Raymond Pui On Wong; Kit Man Chui; Hon Ming Cheung; Eddy Wing Yin Ng; Tai Fai Fok; Joseph Jao Yiu Sung; Yuk Ming Dennis Lo; Terence Chuen Wai Poon
Journal:  J Clin Invest       Date:  2010-07-01       Impact factor: 14.808

3.  Microwave and magnetic (M(2) ) proteomics of the experimental autoimmune encephalomyelitis animal model of multiple sclerosis.

Authors:  Itay Raphael; Swetha Mahesula; Karan Kalsaria; Venkat Kotagiri; Anjali B Purkar; Manjushree Anjanappa; Darshit Shah; Vidya Pericherla; Yeshwant Lal Avinash Jadhav; Rekha Raghunathan; Michael Vaynberg; David Noriega; Nazul H Grimaldo; Carola Wenk; Jonathan A L Gelfond; Thomas G Forsthuber; William E Haskins
Journal:  Electrophoresis       Date:  2012-12       Impact factor: 3.535

4.  Proteomic profiling of occupational medicamentosa-like dermatitis induced by trichloroethylene in serum based on MALDI-TOF MS.

Authors:  Wei Liu; Wen-Xu Hong; Yanfang Zhang; Peiwu Huang; Xifei Yang; Xiaohu Ren; Haiyan Huang; Jianjun Liu
Journal:  Clin Exp Med       Date:  2014-12-05       Impact factor: 3.984

5.  A comprehensive peptidome profiling technology for the identification of early detection biomarkers for lung adenocarcinoma.

Authors:  Koji Ueda; Naomi Saichi; Sachiko Takami; Daechun Kang; Atsuhiko Toyama; Yataro Daigo; Nobuhisa Ishikawa; Nobuoki Kohno; Kenji Tamura; Taro Shuin; Masato Nakayama; Taka-Aki Sato; Yusuke Nakamura; Hidewaki Nakagawa
Journal:  PLoS One       Date:  2011-04-12       Impact factor: 3.240

6.  Exploration of Serum Proteomic Profiling and Diagnostic Model That Differentiate Crohn's Disease and Intestinal Tuberculosis.

Authors:  Fenming Zhang; Chengfu Xu; Longgui Ning; Fengling Hu; Guodong Shan; Hongtan Chen; Ming Yang; Wenguo Chen; Jiekai Yu; Guoqiang Xu
Journal:  PLoS One       Date:  2016-12-20       Impact factor: 3.240

7.  Proteomic analysis reveals platelet factor 4 and beta-thromboglobulin as prognostic markers in severe acute respiratory syndrome.

Authors:  Terence C W Poon; Ronald T K Pang; K C Allen Chan; Nelson L S Lee; Rossa W K Chiu; Yu-Kwan Tong; Stephen S C Chim; Sai M Ngai; Joseph J Y Sung; Y M Dennis Lo
Journal:  Electrophoresis       Date:  2012-07       Impact factor: 3.535

8.  A proteomics approach to the identification of plasma biomarkers for latent tuberculosis infection.

Authors:  Xia Zhang; Fei Liu; Qi Li; Hongyan Jia; Liping Pan; Aiying Xing; Shaofa Xu; Zongde Zhang
Journal:  Diagn Microbiol Infect Dis       Date:  2014-04-26       Impact factor: 2.803

Review 9.  Advances in MALDI mass spectrometry in clinical diagnostic applications.

Authors:  Eddy W Y Ng; Melody Y M Wong; Terence C W Poon
Journal:  Top Curr Chem       Date:  2014
  9 in total

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