Literature DB >> 20412053

Protein-protein interactions and selection: array-based techniques for screening disease-associated biomarkers in predictive/early diagnosis.

Kin-ya Tomizaki1, Kenji Usui, Hisakazu Mihara.   

Abstract

There has been considerable interest in recent years in the development of miniaturized and parallelized array technology for protein-protein interaction analysis and protein profiling, namely 'protein-detecting microarrays'. Protein-detecting microarrays utilize a wide variety of capture agents (antibodies, fusion proteins, DNA/RNA aptamers, synthetic peptides, carbohydrates, and small molecules) immobilized at high spatial density on a solid surface. Each capture agent binds selectively to its target protein in a complex mixture, such as serum or cell lysate samples. Captured proteins are subsequently detected and quantified in a high-throughput fashion, with minimal sample consumption. Protein-detecting microarrays were first described by MacBeath and Schreiber in 2000, and the number of publications involving this technology is rapidly increasing. Furthermore, the first multiplex immunoassay systems have been cleared by the US Food and Drug Administration, signaling recognition of the usefulness of miniaturized and parallelized array technology for protein detection in predictive/early diagnosis. Although genetic tests still predominate, with further development protein-based diagnosis will become common in clinical use within a few years.

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Year:  2010        PMID: 20412053     DOI: 10.1111/j.1742-4658.2010.07626.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  11 in total

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Journal:  Mol Cell Proteomics       Date:  2012-05-10       Impact factor: 5.911

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Review 3.  A 'biomarker signature' for tolerance in transplantation.

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Journal:  Nat Rev Nephrol       Date:  2010-08-17       Impact factor: 28.314

4.  Leptospiral outer membrane protein microarray, a novel approach to identification of host ligand-binding proteins.

Authors:  Marija Pinne; James Matsunaga; David A Haake
Journal:  J Bacteriol       Date:  2012-09-07       Impact factor: 3.490

Review 5.  Biomarker discovery by novel sensors based on nanoproteomics approaches.

Authors:  Noelia Dasilva; Paula Díez; Sergio Matarraz; María González-González; Sara Paradinas; Alberto Orfao; Manuel Fuentes
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

Review 6.  Protein microarrays and biomarkers of infectious disease.

Authors:  Mohan Natesan; Robert G Ulrich
Journal:  Int J Mol Sci       Date:  2010-12-16       Impact factor: 5.923

7.  BioPen: direct writing of functional materials at the point of care.

Authors:  Yu Long Han; Jie Hu; Guy M Genin; Tian Jian Lu; Feng Xu
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Review 8.  Label and Label-Free Detection Techniques for Protein Microarrays.

Authors:  Amir Syahir; Kenji Usui; Kin-Ya Tomizaki; Kotaro Kajikawa; Hisakazu Mihara
Journal:  Microarrays (Basel)       Date:  2015-04-24

Review 9.  Interacting partners of FEN1 and its role in the development of anticancer therapeutics.

Authors:  Chandrasekhar Kathera; Jing Zhang; Avilala Janardhan; Hongfang Sun; Wajid Ali; Xiaolong Zhou; Lingfeng He; Zhigang Guo
Journal:  Oncotarget       Date:  2017-04-18

10.  Both Intrinsic Substrate Preference and Network Context Contribute to Substrate Selection of Classical Tyrosine Phosphatases.

Authors:  Anita Palma; Michele Tinti; Serena Paoluzi; Elena Santonico; Bernd Willem Brandt; Rob Hooft van Huijsduijnen; Antonia Masch; Jaap Heringa; Mike Schutkowski; Luisa Castagnoli; Gianni Cesareni
Journal:  J Biol Chem       Date:  2017-02-03       Impact factor: 5.157

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