Literature DB >> 19003870

Serum biomarker discovery in renal cancer using 2-DE and prefractionation by immunodepletion and isoelectric focusing; increasing coverage or more of the same?

Naveen S Vasudev1, Roisean E Ferguson, David A Cairns, Anthea J Stanley, Peter J Selby, Rosamonde E Banks.   

Abstract

As an initial screen for novel markers of renal cancer and to minimise background heterogeneity, we have compared the within-patient profiles of serum samples from seven patients pre- and post-nephrectomy. Samples were depleted of six of the most abundant proteins using Agilent's multiple affinity removal system (MARS) followed by solution-phase IEF prior to separation by 2-DE using narrow range IPG Strips, with a total of 84 gels. The reproducibility of the various steps was demonstrated and an approximate two-fold increase (from 374 to 779) in the number of protein spots observed in the pH region 4.6-7.0 was obtained. However, the majority of additional proteins seen were further isoforms of existing proteins due to the higher resolution and the majority of protein spots identified were still moderate to highly abundant species. Only one protein spot (as yet unidentified) was found to change significantly in the same direction in at least four patients. Although this powerful prefractionation and analysis strategy allows the visualisation of multiple protein isoforms, it is insufficient to allow detection of lower abundance proteins in serum without the implementation of further strategies.

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Year:  2008        PMID: 19003870     DOI: 10.1002/pmic.200800497

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  11 in total

1.  High abundance proteins depletion vs low abundance proteins enrichment: comparison of methods to reduce the plasma proteome complexity.

Authors:  Renato Millioni; Serena Tolin; Lucia Puricelli; Stefano Sbrignadello; Gian Paolo Fadini; Paolo Tessari; Giorgio Arrigoni
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

2.  A systematic analysis of the effects of increasing degrees of serum immunodepletion in terms of depth of coverage and other key aspects in top-down and bottom-up proteomic analyses.

Authors:  Matthew P Welberry Smith; Steven L Wood; Alexandre Zougman; Jenny T C Ho; Jianhe Peng; David Jackson; David A Cairns; Andrew J P Lewington; Peter J Selby; Rosamonde E Banks
Journal:  Proteomics       Date:  2011-05-05       Impact factor: 3.984

Review 3.  Human Urine Proteomics: Analytical Techniques and Clinical Applications in Renal Diseases.

Authors:  Shiva Kalantari; Ameneh Jafari; Raheleh Moradpoor; Elmira Ghasemi; Ensieh Khalkhal
Journal:  Int J Proteomics       Date:  2015-11-29

4.  Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics.

Authors:  Dong An; Xiaowei Wei; Hui Li; Hui Gu; Tianchu Huang; Guifeng Zhao; Bo Liu; Weilin Wang; Lizhu Chen; Wei Ma; Henan Zhang; Songying Cao; Zhengwei Yuan
Journal:  Sci Rep       Date:  2015-12-22       Impact factor: 4.379

5.  PGRMC1 Is a Novel Potential Tumor Biomarker of Human Renal Cell Carcinoma Based on Quantitative Proteomic and Integrative Biological Assessments.

Authors:  Dan Zhang; Xiangying Xia; Xixi Wang; Peng Zhang; Weiliang Lu; Yamei Yu; Shi Deng; Hanshuo Yang; Hongxia Zhu; Ningzhi Xu; Shufang Liang
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

6.  5D proteomic approach for the biomarker search in plasma: Acute myeloid leukaemia as a case study.

Authors:  Syed Kashif Raza; Mahwish Saleem; Tahir Shamsi; M Iqbal Choudhary; Syed Ghulam Musharraf
Journal:  Sci Rep       Date:  2017-11-27       Impact factor: 4.379

7.  Identification of a Novel Serum Biomarker for Tuberculosis Infection in Chinese HIV Patients by iTRAQ-Based Quantitative Proteomics.

Authors:  Cong Chen; Tao Yan; Liguo Liu; Jianmin Wang; Qi Jin
Journal:  Front Microbiol       Date:  2018-02-26       Impact factor: 5.640

8.  Pre-operative urinary cathepsin D is associated with survival in patients with renal cell carcinoma.

Authors:  N S Vasudev; S Sim; D A Cairns; R E Ferguson; R A Craven; A Stanley; J Cartledge; D Thompson; P J Selby; R E Banks
Journal:  Br J Cancer       Date:  2009-10-06       Impact factor: 7.640

9.  Complementary serum proteomic analysis of autoimmune hepatitis in mice and patients.

Authors:  Hongbin Li; Guoshun Li; Xinyu Zhao; Yongkang Wu; Wen Ma; Yuling Liu; Fengming Gong; Shufang Liang
Journal:  J Transl Med       Date:  2013-06-13       Impact factor: 5.531

Review 10.  Proteomic approaches for characterizing renal cell carcinoma.

Authors:  David J Clark; Hui Zhang
Journal:  Clin Proteomics       Date:  2020-07-29       Impact factor: 3.988

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