Matrix-assisted laser desorption/ionization mass spectrometry of immobilized duplex DNA probes

Tang, Kai; Fu, Dong-Jing; Kötter, Sven; Cotter, Robert J.; Cantor, Charles R.; Köster, Hubert

doi:10.1093/nar/23.16.3126

Cited by 97 publications

(72 citation statements)

References 22 publications

(18 reference statements)

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“…Light is produced when a luminescence probe is acted upon by the enzyme, which is bound, to the secondary antibody. The second category is termed, indirect or linked detection method, in which the luminescent species indirectly measures the targeted characteristic, usually through an intermediate chemical process [1][2][3][4][5] .…”

Section: Luminescence Light Generation Processesmentioning

confidence: 99%

Modeling and simulation of integrated luminescence detection platforms

et al. 2003

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We developed a simulation model of an integrated CMOS-based imaging platform for use with bioluminescent DNA microarrays. We formulate the complete kinetic model of ATP based assays and luciferase label-based assays. The model first calculates the number of photons generated per unit time, i.e., photon flux, based upon the kinetics of the light generation process of luminescence probes. The photon flux coupled with the system geometry is then used to calculate the number of photons incident on the photodetector plane. Subsequently the characteristics of the imaging array including the photodetector spectral response, its dark current density, and the sensor conversion gain are incorporated. The model also takes into account different noise sources including shot noise, reset noise, readout noise and fixed pattern noise. Finally, signal processing algorithms are applied to the image to enhance detection reliability and hence increase the overall system throughput. We will present simulations and preliminary experimental results.

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Section: Luminescence Light Generation Processesmentioning

confidence: 99%

Modeling and simulation of integrated luminescence detection platforms

et al. 2003

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“…Subsequently, since 1991, commercial instruments have become available [19]. While MALDI-TOF MS was initially introduced in proteomics applications, Tang and colleagues demonstrated the full potential of this technique for DNA analysis in 1995 [20]. This indicates that the general utilisation of MALDI-TOF MS has emerged as an effective analytical tool to study bio-molecules only within the last 15 years.…”

Section: Introductionmentioning

confidence: 99%

“…This indicates that the general utilisation of MALDI-TOF MS has emerged as an effective analytical tool to study bio-molecules only within the last 15 years. Even though a relatively young technology compared to other analytical techniques using mass spectrometry, there has been an enormous increase in the publication of MALDI-TOF MS methods and applications in the literature [5,6,[19][20][21]. Three principal reasons can be attributed to this: i) the growth of proteomics as a discipline, which uses MALDI-TOF MS as a tool for post-separation protein identification; ii) the use of this high-throughput and efficient technique in applications across many life science specialisations; and iii) the promising potential of this analytical platform as a robust tool for disease biomarkers [15].…”

Section: Introductionmentioning

confidence: 99%

Molecular Diagnostics in Transfusion Medicine: MALDI-TOF MS for Blood Bankers- The Alternative Approach for Genotyping

Molan¹

2014

IOSRJPBS

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Although matrix-assisted laser desorption/ionisation, time-of-flight mass spectrometry (MALDI-TOF MS) has been previously reported for high throughput blood group genotyping, those reports are limited to only a few blood group systems. This report is timely as promising preliminary results have recently been published from a large cooperative Swiss-German project that aimed to employ MALDI-TOF MS for the molecular detection of the blood groups

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“…Many different genotyping technologies have been developed, based on mass spectrometry (i.e., MALDI-TOF 1 ), fluorescence (i.e., FRET-based methods 2,3 ) or luminescence (i.e., Pyrosequencing 4 ). Selection of the most appropriate genotyping platform will depend on the specific requirements of each project, taking into account the relative sensitivities and throughputs of the available methods [1][2][3][4] .…”

Section: Introductionmentioning

confidence: 99%