Literature DB >> 21329428

Protein microarrays and novel detection platforms.

Harini Chandra1, Panga Jaipal Reddy, Sanjeeva Srivastava.   

Abstract

The field of proteomics has undergone rapid advancements over the last decade and protein microarrays have emerged as a promising technological platform for the challenging task of studying complex proteomes. This gel-free approach has found an increasing number of applications due to its ability to rapidly and efficiently study thousands of proteins simultaneously. Different protein microarrays, including capture arrays, reverse-phase arrays, tissue microarrays, lectin microarrays and cell-free expression microarrays, have emerged, which have demonstrated numerous applications for proteomics studies including biomarker discovery, protein interaction studies, enzyme-substrate profiling, immunological profiling and vaccine development, among many others. The need to detect extremely low-abundance proteins in complex mixtures has provided motivation for the development of sensitive, real-time and multiplexed detection platforms. Conventional label-based approaches like fluorescence, chemiluminescence and use of radioactive isotopes have witnessed substantial advancements, with techniques like quantum dots, gold nanoparticles, dye-doped nanoparticles and several bead-based methods now being employed for protein microarray studies. In order to overcome the limitations posed by label-based technologies, several label-free approaches like surface plasmon resonance, carbon nanotubes and nanowires, and microcantilevers, among others, have also advanced in recent years, and these methods detect the query molecule itself. The scope of this article is to outline the protein microarray techniques that are currently being used for analytical and function-based proteomics and to provide a detailed analysis of the key technological advances and applications of various detection systems that are commonly used with microarrays.

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Year:  2011        PMID: 21329428     DOI: 10.1586/epr.10.99

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  30 in total

1.  Combined gene expression and protein interaction analysis of dynamic modularity in glioma prognosis.

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Journal:  J Neurooncol       Date:  2011-11-10       Impact factor: 4.130

2.  Personalized Medicine in the Age of Pharmacoproteomics: A Close up on India and Need for Social Science Engagement for Responsible Innovation in Post-Proteomic Biology.

Authors:  Panga Jaipal Reddy; Rekha Jain; Young-Ki Paik; Robin Downey; Adam S Ptolemy; Vural Ozdemir; Sanjeeva Srivastava
Journal:  Curr Pharmacogenomics Person Med       Date:  2011-03-01

3.  Infrared spectroscopy and microscopy in cancer research and diagnosis.

Authors:  Giuseppe Bellisola; Claudio Sorio
Journal:  Am J Cancer Res       Date:  2011-11-22       Impact factor: 6.166

4.  Large-Scale, Quantitative Protein Assays on a High-Throughput DNA Sequencing Chip.

Authors:  Curtis J Layton; Peter L McMahon; William J Greenleaf
Journal:  Mol Cell       Date:  2019-03-07       Impact factor: 17.970

Review 5.  Latest developments in experimental and computational approaches to characterize protein-lipid interactions.

Authors:  Hyunju Cho; Ming Wu; Betul Bilgin; S Patrick Walton; Christina Chan
Journal:  Proteomics       Date:  2012-11       Impact factor: 3.984

Review 6.  Protein array diagnostics for guiding therapy in rheumatoid arthritis.

Authors:  Peter Szodoray; Philip Alex
Journal:  Mol Diagn Ther       Date:  2011-10-01       Impact factor: 4.074

Review 7.  Systems vaccinology: its promise and challenge for HIV vaccine development.

Authors:  Helder I Nakaya; Bali Pulendran
Journal:  Curr Opin HIV AIDS       Date:  2012-01       Impact factor: 4.283

8.  Antibody microarrays utilizing site-specific antibody-oligonucleotide conjugates.

Authors:  Erik D Wold; Ryan McBride; Jun Y Axup; Stephanie A Kazane; Vaughn V Smider
Journal:  Bioconjug Chem       Date:  2015-04-30       Impact factor: 4.774

Review 9.  Cell biology of infection by Legionella pneumophila.

Authors:  Li Xu; Zhao-Qing Luo
Journal:  Microbes Infect       Date:  2012-11-14       Impact factor: 2.700

10.  Protein Microarray-Based Proteomics for Disease Analysis.

Authors:  Rodrigo Barderas; Sanjeeva Srivastava; Joshua LaBaer
Journal:  Methods Mol Biol       Date:  2021
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