Cargando…

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

The sensitive measurement of biomolecular interactions has use in many fields and industries such as basic biology and microbiology, environmental/agricultural/biodefense monitoring, nanobiotechnology, and more. For diagnostic applications, monitoring (detecting) the presence, absence, or abnormal e...

Descripción completa

Detalles Bibliográficos
Autores principales: Lopez, Carlos A., Daaboul, George G., Ahn, Sunmin, Reddington, Alexander P., Monroe, Margo R., Zhang, Xirui, Irani, Rostem J., Yu, Chunxiao, Genco, Caroline A., Cretich, Marina, Chiari, Marcella, Goldberg, Bennett B., Connor, John H., Ünlü, M. Selim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MyJove Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3197112/
https://www.ncbi.nlm.nih.gov/pubmed/21587155
http://dx.doi.org/10.3791/2694
_version_ 1782214276751032320
author Lopez, Carlos A.
Daaboul, George G.
Ahn, Sunmin
Reddington, Alexander P.
Monroe, Margo R.
Zhang, Xirui
Irani, Rostem J.
Yu, Chunxiao
Genco, Caroline A.
Cretich, Marina
Chiari, Marcella
Goldberg, Bennett B.
Connor, John H.
Ünlü, M. Selim
author_facet Lopez, Carlos A.
Daaboul, George G.
Ahn, Sunmin
Reddington, Alexander P.
Monroe, Margo R.
Zhang, Xirui
Irani, Rostem J.
Yu, Chunxiao
Genco, Caroline A.
Cretich, Marina
Chiari, Marcella
Goldberg, Bennett B.
Connor, John H.
Ünlü, M. Selim
author_sort Lopez, Carlos A.
collection PubMed
description The sensitive measurement of biomolecular interactions has use in many fields and industries such as basic biology and microbiology, environmental/agricultural/biodefense monitoring, nanobiotechnology, and more. For diagnostic applications, monitoring (detecting) the presence, absence, or abnormal expression of targeted proteomic or genomic biomarkers found in patient samples can be used to determine treatment approaches or therapy efficacy. In the research arena, information on molecular affinities and specificities are useful for fully characterizing the systems under investigation. Many of the current systems employed to determine molecular concentrations or affinities rely on the use of labels. Examples of these systems include immunoassays such as the enzyme-linked immunosorbent assay (ELISA), polymerase chain reaction (PCR) techniques, gel electrophoresis assays, and mass spectrometry (MS). Generally, these labels are fluorescent, radiological, or colorimetric in nature and are directly or indirectly attached to the molecular target of interest. Though the use of labels is widely accepted and has some benefits, there are drawbacks which are stimulating the development of new label-free methods for measuring these interactions. These drawbacks include practical facets such as increased assay cost, reagent lifespan and usability, storage and safety concerns, wasted time and effort in labelling, and variability among the different reagents due to the labelling processes or labels themselves. On a scientific research basis, the use of these labels can also introduce difficulties such as concerns with effects on protein functionality/structure due to the presence of the attached labels and the inability to directly measure the interactions in real time. Presented here is the use of a new label-free optical biosensor that is amenable to microarray studies, termed the Interferometric Reflectance Imaging Sensor (IRIS), for detecting proteins, DNA, antigenic material, whole pathogens (virions) and other biological material. The IRIS system has been demonstrated to have high sensitivity, precision, and reproducibility for different biomolecular interactions [1-3]. Benefits include multiplex imaging capacity, real time and endpoint measurement capabilities, and other high-throughput attributes such as reduced reagent consumption and a reduction in assay times. Additionally, the IRIS platform is simple to use, requires inexpensive equipment, and utilizes silicon-based solid phase assay components making it compatible with many contemporary surface chemistry approaches. Here, we present the use of the IRIS system from preparation of probe arrays to incubation and measurement of target binding to analysis of the results in an endpoint format. The model system will be the capture of target antibodies which are specific for human serum albumin (HSA) on HSA-spotted substrates.
format Online
Article
Text
id pubmed-3197112
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher MyJove Corporation
record_format MEDLINE/PubMed
spelling pubmed-31971122011-10-26 Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS) Lopez, Carlos A. Daaboul, George G. Ahn, Sunmin Reddington, Alexander P. Monroe, Margo R. Zhang, Xirui Irani, Rostem J. Yu, Chunxiao Genco, Caroline A. Cretich, Marina Chiari, Marcella Goldberg, Bennett B. Connor, John H. Ünlü, M. Selim J Vis Exp Bioengineering The sensitive measurement of biomolecular interactions has use in many fields and industries such as basic biology and microbiology, environmental/agricultural/biodefense monitoring, nanobiotechnology, and more. For diagnostic applications, monitoring (detecting) the presence, absence, or abnormal expression of targeted proteomic or genomic biomarkers found in patient samples can be used to determine treatment approaches or therapy efficacy. In the research arena, information on molecular affinities and specificities are useful for fully characterizing the systems under investigation. Many of the current systems employed to determine molecular concentrations or affinities rely on the use of labels. Examples of these systems include immunoassays such as the enzyme-linked immunosorbent assay (ELISA), polymerase chain reaction (PCR) techniques, gel electrophoresis assays, and mass spectrometry (MS). Generally, these labels are fluorescent, radiological, or colorimetric in nature and are directly or indirectly attached to the molecular target of interest. Though the use of labels is widely accepted and has some benefits, there are drawbacks which are stimulating the development of new label-free methods for measuring these interactions. These drawbacks include practical facets such as increased assay cost, reagent lifespan and usability, storage and safety concerns, wasted time and effort in labelling, and variability among the different reagents due to the labelling processes or labels themselves. On a scientific research basis, the use of these labels can also introduce difficulties such as concerns with effects on protein functionality/structure due to the presence of the attached labels and the inability to directly measure the interactions in real time. Presented here is the use of a new label-free optical biosensor that is amenable to microarray studies, termed the Interferometric Reflectance Imaging Sensor (IRIS), for detecting proteins, DNA, antigenic material, whole pathogens (virions) and other biological material. The IRIS system has been demonstrated to have high sensitivity, precision, and reproducibility for different biomolecular interactions [1-3]. Benefits include multiplex imaging capacity, real time and endpoint measurement capabilities, and other high-throughput attributes such as reduced reagent consumption and a reduction in assay times. Additionally, the IRIS platform is simple to use, requires inexpensive equipment, and utilizes silicon-based solid phase assay components making it compatible with many contemporary surface chemistry approaches. Here, we present the use of the IRIS system from preparation of probe arrays to incubation and measurement of target binding to analysis of the results in an endpoint format. The model system will be the capture of target antibodies which are specific for human serum albumin (HSA) on HSA-spotted substrates. MyJove Corporation 2011-05-03 /pmc/articles/PMC3197112/ /pubmed/21587155 http://dx.doi.org/10.3791/2694 Text en Copyright © 2011, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Bioengineering
Lopez, Carlos A.
Daaboul, George G.
Ahn, Sunmin
Reddington, Alexander P.
Monroe, Margo R.
Zhang, Xirui
Irani, Rostem J.
Yu, Chunxiao
Genco, Caroline A.
Cretich, Marina
Chiari, Marcella
Goldberg, Bennett B.
Connor, John H.
Ünlü, M. Selim
Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
title Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
title_full Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
title_fullStr Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
title_full_unstemmed Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
title_short Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)
title_sort biomolecular detection employing the interferometric reflectance imaging sensor (iris)
topic Bioengineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3197112/
https://www.ncbi.nlm.nih.gov/pubmed/21587155
http://dx.doi.org/10.3791/2694
work_keys_str_mv AT lopezcarlosa biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT daaboulgeorgeg biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT ahnsunmin biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT reddingtonalexanderp biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT monroemargor biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT zhangxirui biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT iranirostemj biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT yuchunxiao biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT gencocarolinea biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT cretichmarina biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT chiarimarcella biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT goldbergbennettb biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT connorjohnh biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris
AT unlumselim biomoleculardetectionemployingtheinterferometricreflectanceimagingsensoriris