Literature DB >> 19485342

High sensitivity protein assays on microarray silicon slides.

Marina Cretich1, Gabriele di Carlo, Renato Longhi, Cecilia Gotti, Natalia Spinella, Salvatore Coffa, Clelia Galati, Lucio Renna, Marcella Chiari.   

Abstract

In this work, we report on the improvement of microarray sensitivity provided by a crystalline silicon substrate coated with thermal silicon oxide functionalized by a polymeric coating. The improvement is intended for experimental procedures and instrumentations typically involved in microarray technology, such as fluorescence labeling and a confocal laser scanning apparatus. The optimized layer of thermally grown silicon oxide (SiO(2)) of a highly reproducible thickness, low roughness, and fluorescence background provides fluorescence intensification due to the constructive interference between the incident and reflected waves of the fluorescence radiation. The oxide surface is coated by a copolymer of N,N-dimethylacrylamide, N-acryloyloxysuccinimide, and 3-(trimethoxysilyl)propyl methacrylate, copoly(DMA-NAS-MAPS), which forms, by a simple and robust procedure, a functional nanometric film. The polymeric coating with a thickness that does not appreciably alter the optical properties of the silicon oxide confers to the slides optimal binding specificity leading to a high signal-to-noise ratio. The present work aims to demonstrate the great potential that exists by combining an optimized reflective substrate with a high performance surface chemistry. Moreover, the techniques chosen for both the substrate and surface chemistry are simple, inexpensive, and amenable to mass production. The present application highlights their potential use for diagnostic applications of real clinical relevance. The coated silicon slides, tested in protein and peptide microarrays for detection of specific antibodies, lead to a 5-10-fold enhancement of the fluorescence signals in comparison to glass slides.

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Year:  2009        PMID: 19485342     DOI: 10.1021/ac900658c

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  15 in total

1.  Multiplexed method to calibrate and quantitate fluorescence signal for allergen-specific IgE.

Authors:  Margo R Monroe; Alexander P Reddington; Austin D Collins; Craig LaBoda; Marina Cretich; Marcella Chiari; Frédéric F Little; M Selim Unlü
Journal:  Anal Chem       Date:  2011-11-22       Impact factor: 6.986

2.  Silicon biochips for dual label-free and fluorescence detection: Application to protein microarray development.

Authors:  Marina Cretich; Alex Reddington; Margo Monroe; Marta Bagnati; Francesco Damin; Laura Sola; M Selim Unlu; Marcella Chiari
Journal:  Biosens Bioelectron       Date:  2011-04-09       Impact factor: 10.618

3.  IgE allergy diagnostics and other relevant tests in allergy, a World Allergy Organization position paper.

Authors:  Ignacio J Ansotegui; Giovanni Melioli; Giorgio Walter Canonica; Luis Caraballo; Elisa Villa; Motohiro Ebisawa; Giovanni Passalacqua; Eleonora Savi; Didier Ebo; R Maximiliano Gómez; Olga Luengo Sánchez; John J Oppenheimer; Erika Jensen-Jarolim; David A Fischer; Tari Haahtela; Martti Antila; Jean J Bousquet; Victoria Cardona; Wen Chin Chiang; Pascal M Demoly; Lawrence M DuBuske; Marta Ferrer Puga; Roy Gerth van Wijk; Sandra Nora González Díaz; Alexei Gonzalez-Estrada; Edgardo Jares; Ayse Füsun Kalpaklioğlu; Luciana Kase Tanno; Marek L Kowalski; Dennis K Ledford; Olga Patricia Monge Ortega; Mário Morais Almeida; Oliver Pfaar; Lars K Poulsen; Ruby Pawankar; Harald E Renz; Antonino G Romano; Nelson A Rosário Filho; Lanny Rosenwasser; Mario A Sánchez Borges; Enrico Scala; Gian-Enrico Senna; Juan Carlos Sisul; Mimi L K Tang; Bernard Yu-Hor Thong; Rudolf Valenta; Robert A Wood; Torsten Zuberbier
Journal:  World Allergy Organ J       Date:  2020-02-25       Impact factor: 4.084

4.  Multiplexed, rapid point of care platform to quantify allergen-specific IgE.

Authors:  M R Monroe; A P Reddington; M Cretich; M Chiari; F Little; M S Ünlü
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

5.  CovidArray: A Microarray-Based Assay with High Sensitivity for the Detection of Sars-Cov-2 in Nasopharyngeal Swabs.

Authors:  Francesco Damin; Silvia Galbiati; Stella Gagliardi; Cristina Cereda; Francesca Dragoni; Claudio Fenizia; Valeria Savasi; Laura Sola; Marcella Chiari
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

Review 6.  Evaluation of optical detection platforms for multiplexed detection of proteins and the need for point-of-care biosensors for clinical use.

Authors:  Samantha Spindel; Kim E Sapsford
Journal:  Sensors (Basel)       Date:  2014-11-25       Impact factor: 3.576

7.  Strategy to discover full-length amyloid-beta peptide ligands using high-efficiency microarray technology.

Authors:  Clelia Galati; Natalia Spinella; Lucio Renna; Danilo Milardi; Francesco Attanasio; Michele Francesco Maria Sciacca; Corrado Bongiorno
Journal:  Beilstein J Nanotechnol       Date:  2017-11-20       Impact factor: 3.649

8.  Analysis of KRAS, NRAS and BRAF mutational profile by combination of in-tube hybridization and universal tag-microarray in tumor tissue and plasma of colorectal cancer patients.

Authors:  Francesco Damin; Silvia Galbiati; Nadia Soriani; Valentina Burgio; Monica Ronzoni; Maurizio Ferrari; Marcella Chiari
Journal:  PLoS One       Date:  2018-12-18       Impact factor: 3.240

9.  A new microarray substrate for ultra-sensitive genotyping of KRAS and BRAF gene variants in colorectal cancer.

Authors:  Silvia Galbiati; Francesco Damin; Pamela Pinzani; Irene Mancini; Serena Vinci; Marcella Chiari; Claudio Orlando; Laura Cremonesi; Maurizio Ferrari
Journal:  PLoS One       Date:  2013-03-25       Impact factor: 3.240

10.  Evolving serodiagnostics by rationally designed peptide arrays: the Burkholderia paradigm in Cystic Fibrosis.

Authors:  Claudio Peri; Alessandro Gori; Paola Gagni; Laura Sola; Daniela Girelli; Samantha Sottotetti; Lisa Cariani; Marcella Chiari; Marina Cretich; Giorgio Colombo
Journal:  Sci Rep       Date:  2016-09-12       Impact factor: 4.379

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