Nanotechniques in proteomics: Protein microarrays and novel detection platforms

González‐González, María; Jara‐Acevedo, Ricardo; Matarraz, Sergio; Jara‐Acevedo, María; Paradinas, Sara Sánchez; Sayagués, José María; Órfão, Alberto; Fuentes, Manuel

doi:10.1016/j.ejps.2011.07.009

Cited by 74 publications

(81 citation statements)

References 48 publications

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“…Also available, but less common, are microsphere bead-based systems where flow cytometry is performed on a suspension of capture agent-coated beads [13]. Though suspension bead arrays might be appropriate for use in a research setting, they are unlikely to be translated to point-of-care applications because they are more expensive and technically demanding than planar microarrays [14].…”

Section: Methods In Proteomicsmentioning

confidence: 99%

Cancer proteomics: developments in technology, clinical use and commercialization

Yeat

Lin

Sager

et al. 2015

Expert Review of Proteomics

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In the last two decades, advances in genomic, transcriptomic and proteomic methods have enabled us to identify and classify cancers by their molecular profiles. Many anticipate that a molecular taxonomy of cancer will not only lead to more effective subtyping of cancers but also earlier diagnoses, more informative prognoses and more targeted treatments. This article reviews recent technological developments in the field of proteomics, recent discoveries in proteomic cancer biomarker research and trends in clinical use. Readers are also informed of examples of successful commercialization, and the future of proteomics in cancer diagnostics.

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Section: Methods In Proteomicsmentioning

confidence: 99%

Cancer proteomics: developments in technology, clinical use and commercialization

Yeat

Lin

Sager

et al. 2015

Expert Review of Proteomics

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“…Advancing beyond the technology of DNA microarrays, protein microarrays, an emerging class of proteomic tools, allow the comprehensive protein analysis of an organism or a sample, and diverse applications in research and diagnostic tests (Zhu and Snyder, 2001;MacBeath, 2002;Reid et al, 2007;Gonzalez-Gonzalez et al, 2012). So far, the impact of protein microarray for disease serodiagnosis has been moderate (Xiu et al, 2002;Bacarese-Hamilton, 2004;List et al, 2010;Aranzamendi et al, 2011).…”

Section: Vi) a Polypeptide Spot-based Microarraymentioning

confidence: 97%

Immunoproteomic technology offers an extraordinary diagnostic approach for Toxoplasma gondii infection

El‐Ashram

Yin

Barta

et al. 2015

Journal of Microbiological Methods

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“…Various label-free detection techniques based on the property measured were developed. These include surface plasmon resonance (SPR), ellipsometry, scanning kelvin nanoprobe and atomic force microscope (AFM) (Gonzalez-Gonzalez et al, 2012;Ray et al, 2010;Hall et al, 2007;Ramachandran et al, 2005). …”

Section: Substratementioning

confidence: 99%

“…The ATR process allows the quantification of specific signals due to binding events on the surface and reduces the contribution of free molecules to the recorded signals. Figure 1.10 Schematic representation of the coupling of the laser in a TIRF setup (Neumann, 2006 Label free detection measures any changes induced by the biochemical interaction in the inherent properties of the molecules itself such as mass, dielectric or optical properties (Gonzalez-Gonzalez et al, 2012;Ray et al, 2010). Various label-free detection techniques based on the property measured were developed.…”

Section: Substratementioning

confidence: 99%

The Impact of Diffusion on Biochemical Assay Kinetics in 3d-Hydrogel Microarrays

Mahmoud¹

2015

JOSHA

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JOSHA is a service that helps scholars, researchers, and students descover, use, and build upon a wide range of content DeclarationI hereby confirm that this master thesis at hand is solely my own written work and that no other sources, than those indicated in the references, were used.All text passages and diagrams, quoted or paraphrased, from these sources have been properly acknowledged as such and fully cited.This thesis has not been submitted in the same, similar or even partial version to another examination board and was not published elsewhere. In the past few years, this technology has developed a lot with the implementation of novel surface chemistries, detection techniques, and different assay formats. 3D-hydrogel microarrays were developed using unique immobilization techniques based on hydrophilic polymer networks. The 3D polymer network attaches and immobilizes the capture molecules onto the surface in form of a spot with molecules immobilized both on the surface and inside the gel matrix. This retains the molecule's natural confirmation and structure and enables higher immobilization efficiency, which allows for higher sensitivity. However, the achieved sensitivities are still far from the theoretical limit and in many cases, long incubation times are required. These limitations are caused by both the resolution of the used detection techniques and the assay kinetics. This hinders the transfer of the technology from the laboratory to routine diagnostics.The kinetics of a biochemical assay in a microarray can be controlled either by the transport of molecules to the spot or by the binding interaction itself. This work focuses on studying the assay kinetics in 3D-hydrogel microarrays in order to understand and characterize the limiting step for signal development. To simulate conditions of high affinity binding partners and therefore reduce the influence of the reaction kinetics, the biotin-streptavidin system was selected as the biological model for this work.A microarray to study the kinetic processes involved in the signal development was designed and the optimum working concentrations for kinetic characterization were defined. To confirm the mass transport limited kinetics, the measured kinetics was compared to the ideal reaction kinetics depending on the affinity parameters for biotin-streptavidin interaction. The ideal reaction kinetics was three orders of magnitude faster than measured kinetics. The two-compartment model, which is widely used to describe the assay kinetics in 2D microarrays, was used to fit the observed kinetics. However, a deviation from the model after the initial phase of signal development was observed. A hypothesis was made that this deviation is due to an additional diffusion step in the hydrogel. Therefore, a microarray model to study this diffusion step was designed. In this model, the microarrays were dip coated with hydrogel layers of various thickness and mesh sizes. This model simulated conditions where the signal development should depend only on the diffusion t...

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Nanotechniques in proteomics: Protein microarrays and novel detection platforms

Cited by 74 publications

References 48 publications

Cancer proteomics: developments in technology, clinical use and commercialization

Cancer proteomics: developments in technology, clinical use and commercialization

Immunoproteomic technology offers an extraordinary diagnostic approach for Toxoplasma gondii infection

The Impact of Diffusion on Biochemical Assay Kinetics in 3d-Hydrogel Microarrays

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