Literature DB >> 20023212

Antibody-array interaction mapping, a new method to detect protein complexes applied to the discovery and study of serum amyloid P interactions with kininogen in human plasma.

Derek Bergsma1, Songming Chen, John Buchweitz, Robert Gerszten, Brian B Haab.   

Abstract

Protein-protein interactions are fundamentally important in biological processes, but the existing analytical tools have limited ability to sensitively and precisely measure the dynamic composition of protein complexes in biological samples. We report here the development of antibody-array interaction mapping (AAIM) to address that need. We used AAIM to probe interactions among a set of 48 proteins in serum and found several known interactions as well potentially novel interactions, including multiprotein clusters of interactions. A novel interaction initially identified between the innate immune system protein C-reactive protein and the inflammatory protein kininogen (KNG) was confirmed in subsequent experiments to involve serum amyloid P instead of its highly related family member, C-reactive protein. AAIM was used in a variety of formats to further study this interaction. In vitro studies confirmed the ability of the purified proteins to interact and revealed a zinc dependence of the interaction. Studies using plasma samples collected longitudinally following a controlled myocardial infarction revealed no consistent changes in the serum amyloid P-KNG interaction levels but consistent changes in KNG activation and interactions with plasma prekallikrein. These results demonstrate a versatile platform for measuring the dynamic composition of protein complexes in biological samples that should have value for studies of normal and disease-related signaling networks, multiprotein clusters, or enzymatic cascades.

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Year:  2009        PMID: 20023212      PMCID: PMC2849714          DOI: 10.1074/mcp.M900418-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  35 in total

Review 1.  Examining multiprotein signaling complexes from all angles.

Authors:  Jon C D Houtman; Mira Barda-Saad; Lawrence E Samelson
Journal:  FEBS J       Date:  2005-11       Impact factor: 5.542

2.  Antibody microarray profiling reveals individual and combined serum proteins associated with pancreatic cancer.

Authors:  Randal Orchekowski; Darren Hamelinck; Lin Li; Ewa Gliwa; Matt vanBrocklin; Jorge A Marrero; George F Vande Woude; Ziding Feng; Randall Brand; Brian B Haab
Journal:  Cancer Res       Date:  2005-12-01       Impact factor: 12.701

Review 3.  Computational prediction of protein-protein interactions.

Authors:  Lucy Skrabanek; Harpreet K Saini; Gary D Bader; Anton J Enright
Journal:  Mol Biotechnol       Date:  2007-08-14       Impact factor: 2.695

Review 4.  Fifty years of research on the plasma kallikrein-kinin system: from protein structure and function to cell biology and in-vivo pathophysiology.

Authors:  Irma M Sainz; Robin A Pixley; Robert W Colman
Journal:  Thromb Haemost       Date:  2007-07       Impact factor: 5.249

Review 5.  Extracting interactions between proteins from the literature.

Authors:  Deyu Zhou; Yulan He
Journal:  J Biomed Inform       Date:  2007-12-15       Impact factor: 6.317

Review 6.  Two faces of high-molecular-weight kininogen (HK) in angiogenesis: bradykinin turns it on and cleaved HK (HKa) turns it off.

Authors:  Y-L Guo; R W Colman
Journal:  J Thromb Haemost       Date:  2005-02-23       Impact factor: 5.824

7.  An internally controlled peripheral biomarker for Alzheimer's disease: Erk1 and Erk2 responses to the inflammatory signal bradykinin.

Authors:  Tapan K Khan; Daniel L Alkon
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-18       Impact factor: 11.205

8.  Platelet factor 4 and interleukin-8 CXC chemokine heterodimer formation modulates function at the quaternary structural level.

Authors:  Irina V Nesmelova; Yuk Sham; Arkadiusz Z Dudek; Loes I van Eijk; Guoping Wu; Arne Slungaard; Frank Mortari; Arjan W Griffioen; Kevin H Mayo
Journal:  J Biol Chem       Date:  2004-11-05       Impact factor: 5.157

Review 9.  C-reactive protein comes of age.

Authors:  Subodh Verma; Paul E Szmitko; Paul M Ridker
Journal:  Nat Clin Pract Cardiovasc Med       Date:  2005-01

Review 10.  The plasma kallikrein-kinin system: its evolution from contact activation.

Authors:  A H Schmaier; K R McCrae
Journal:  J Thromb Haemost       Date:  2007-09-19       Impact factor: 5.824

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  7 in total

1.  Sensitive single-molecule protein quantification and protein complex detection in a microarray format.

Authors:  Lee A Tessler; Robi D Mitra
Journal:  Proteomics       Date:  2011-11-23       Impact factor: 3.984

Review 2.  Investigation of stable and transient protein-protein interactions: Past, present, and future.

Authors:  Armand G Ngounou Wetie; Izabela Sokolowska; Alisa G Woods; Urmi Roy; Joseph A Loo; Costel C Darie
Journal:  Proteomics       Date:  2013-01-18       Impact factor: 3.984

3.  Aleuria Aurantia Lectin (AAL)-reactive immunoglobulin G rapidly appears in sera of animals following antigen exposure.

Authors:  Songming Chen; Chen Lu; Hongbo Gu; Anand Mehta; Jianwei Li; Patrick B Romano; David Horn; D Craig Hooper; Carthene R Bazemore-Walker; Timothy Block
Journal:  PLoS One       Date:  2012-09-14       Impact factor: 3.240

4.  Antibody colocalization microarray: a scalable technology for multiplex protein analysis in complex samples.

Authors:  M Pla-Roca; R F Leulmi; S Tourekhanova; S Bergeron; V Laforte; E Moreau; S J C Gosline; N Bertos; M Hallett; M Park; D Juncker
Journal:  Mol Cell Proteomics       Date:  2011-12-14       Impact factor: 5.911

Review 5.  Current applications of antibody microarrays.

Authors:  Ziqing Chen; Tea Dodig-Crnković; Jochen M Schwenk; Sheng-Ce Tao
Journal:  Clin Proteomics       Date:  2018-02-28       Impact factor: 3.988

6.  Effects of berberine hydrochloride on immune response in the crab Charybdis japonica.

Authors:  Tian-Heng Gao; Ming-Ming Han; Hui Zhou; Chen-Xi Zhu; Ying Yang; Zakaria Zuraini; Yan-Xia Guo; Qi-Chen Jiang
Journal:  BMC Genomics       Date:  2022-08-11       Impact factor: 4.547

7.  The Marker State Space (MSS) method for classifying clinical samples.

Authors:  Brian P Fallon; Bryan Curnutte; Kevin A Maupin; Katie Partyka; Sunguk Choi; Randall E Brand; Christopher J Langmead; Waibhav Tembe; Brian B Haab
Journal:  PLoS One       Date:  2013-06-04       Impact factor: 3.240

  7 in total

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