Literature DB >> 19604127

Combinatorial hexapeptide ligand libraries (ProteoMiner): an innovative fractionation tool for differential quantitative clinical proteomics.

Sonja Hartwig1, Akos Czibere, Jorg Kotzka, Waltraud Passlack, Rainer Haas, Jürgen Eckel, Stefan Lehr.   

Abstract

Blood serum samples are the major source for clinical proteomics approaches, which aim to identify diagnostically relevant or treatment-response related proteins. But, the presence of very high-abundance proteins and the enormous dynamic range of protein distribution hinders whole serum analysis. An innovative tool to overcome these limitations, utilizes combinatorial hexapeptide ligand libraries (ProteoMiner). Here, we demonstrate that ProteoMiner can be used for comparative and quantitative analysis of complex proteomes. We spiked serum samples with increasing amounts (3 microg to 300 microg) of whole E. coli lysate, processed it with ProteoMiner and performed quantitative analyses of 2D-gels. We found, that the concentration of the spiked bacteria proteome, reflected by the maintained proportional spot intensities, was not altered by ProteoMiner treatment. Therefore, we conclude that the ProteoMiner technology can be used for quantitative analysis of low abundant proteins in complex biological samples.

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Year:  2009        PMID: 19604127     DOI: 10.1080/13813450903154224

Source DB:  PubMed          Journal:  Arch Physiol Biochem        ISSN: 1381-3455            Impact factor:   4.076


  13 in total

1.  Investigation of plasma biomarkers in HIV-1/HCV mono- and coinfected individuals by multiplex iTRAQ quantitative proteomics.

Authors:  Vivekananda Shetty; Pooja Jain; Zacharie Nickens; Gomathinayagam Sinnathamby; Anand Mehta; Ramila Philip
Journal:  OMICS       Date:  2011-10

2.  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

3.  In-depth exploration of cerebrospinal fluid by combining peptide ligand library treatment and label-free protein quantification.

Authors:  Emmanuelle Mouton-Barbosa; Florence Roux-Dalvai; David Bouyssié; François Berger; Eric Schmidt; Pier Giorgio Righetti; Luc Guerrier; Egisto Boschetti; Odile Burlet-Schiltz; Bernard Monsarrat; Anne Gonzalez de Peredo
Journal:  Mol Cell Proteomics       Date:  2010-01-21       Impact factor: 5.911

4.  Discovery and validation of serum protein changes in type 1 diabetes patients using high throughput two dimensional liquid chromatography-mass spectrometry and immunoassays.

Authors:  Wenbo Zhi; Ashok Sharma; Sharad Purohit; Eric Miller; Bruce Bode; Stephen W Anderson; John Chip Reed; R Dennis Steed; Leigh Steed; Diane Hopkins; Jin-Xiong She
Journal:  Mol Cell Proteomics       Date:  2011-09-06       Impact factor: 5.911

5.  Methods for Proteomics-Based Analysis of the Human Muscle Secretome Using an In Vitro Exercise Model.

Authors:  Cora Weigert; Sonja Hartwig; Stefan Lehr
Journal:  Methods Mol Biol       Date:  2021

6.  Hexapeptide libraries for enhanced protein PTM identification and relative abundance profiling in whole human saliva.

Authors:  Sricharan Bandhakavi; Susan K Van Riper; Pierre N Tawfik; Matthew D Stone; Tufia Haddad; Nelson L Rhodus; John V Carlis; Timothy J Griffin
Journal:  J Proteome Res       Date:  2011-01-14       Impact factor: 4.466

7.  Mass spectrometry in cancer biomarker research: a case for immunodepletion of abundant blood-derived proteins from clinical tissue specimens.

Authors:  Darue A Prieto; Donald J Johann; Bih-Rong Wei; Xiaoying Ye; King C Chan; Dwight V Nissley; R Mark Simpson; Deborah E Citrin; Crystal L Mackall; W Marston Linehan; Josip Blonder
Journal:  Biomark Med       Date:  2014       Impact factor: 2.851

8.  Enriched sera protein profiling for detection of non-small cell lung cancer biomarkers.

Authors:  Emanuela Monari; Christian Casali; Aurora Cuoghi; Jessica Nesci; Elisa Bellei; Stefania Bergamini; Luca I Fantoni; Pamela Natali; Uliano Morandi; Aldo Tomasi
Journal:  Proteome Sci       Date:  2011-09-19       Impact factor: 2.480

Review 9.  Development of biomarkers of genitourinary cancer using mass spectrometry-based clinical proteomics.

Authors:  Yi-Ting Chen; Cheng-Han Tsai; Chien-Lun Chen; Jau-Song Yu; Ying-Hsu Chang
Journal:  J Food Drug Anal       Date:  2018-10-27       Impact factor: 6.157

10.  Identification of novel biomarkers for sepsis prognosis via urinary proteomic analysis using iTRAQ labeling and 2D-LC-MS/MS.

Authors:  Longxiang Su; Lichao Cao; Ruo Zhou; Zhaoxu Jiang; Kun Xiao; Weijing Kong; Huijuan Wang; Jie Deng; Bo Wen; Fengji Tan; Yong Zhang; Lixin Xie
Journal:  PLoS One       Date:  2013-01-23       Impact factor: 3.240

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