Single Molecule Detection Technologies in Miniaturized High Throughput Screening: Fluorescence Correlation Spectroscopy

Moore, Keith J. M.; Turconi, Sandra; Ashman, Stephen; Ruediger, Martin; Haupts, Ulrich; Emerick, Victoria L.; Pope, Andrew J.

doi:10.1177/108705719900400609

Cited by 64 publications

(35 citation statements)

References 24 publications

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“…A variety of novel approaches based on single molecule analysis are being investigated to provide revolutionary approaches for DNA sequencing and analysis (Davis et al 1991;Chen and Dovichi 1996;Fernandes 1998;Haab and Mathies 1998;Nie and Zare 1998;Rich 1998;Akeson et al 1999;Herrick and Bensimon 1999;Ishikawa 1999;Moore et al 1999;Yeung 1999;Bustamante et al 2000;Deamer and Akeson 2000;Jett et al 2000;Krylov and Dovichi 2000;Van Craenenbroeck and Engelborghs 2000). One example is the research by Dr. Deamer at the University of California, Santa Cruz and Dr. Branton at Harvard University to develop single molecule electrophoresis (Akeson et al 1999;Akeson and Deamer 1999;Deamer and Akeson 2000;Service 2000).…”

Section: Single Molecule Analysismentioning

confidence: 99%

Automation for Genomics, Part Two: Sequencers, Microarrays, and Future Trends

Meldrum¹

2000

Genome Res.

116

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Automation for genomics has enabled a 43-fold increase in the total finished human genomic sequence in the world in the past four years. This is the second half of a two-part, noncomprehensive review that presents an overview of different types of automation equipment used in genome sequencing. The first part of the review, published in the previous issue, focused on automated procedures used to prepare DNA for sequencing or analysis. This second part of the review presents a look at available DNA sequencers and array technology and concludes with a look at future technologies. Alternate sequencing technologies including mass spectrometry, biochips, and single molecule analysis are included in this review.Sequencing data, essential for many of the medical breakthroughs of today and tomorrow, is currently accumulating at an exponential rate, largely because of advances in sequencing methods and laboratory automation. Instruments are available that can automate nearly every step in the large-scale sequencing process.The first article in this two-part review (Meldrum 2000) presented a description of automation designed for isolating DNA, cloning or amplifying DNA, preparing enzymatic sequencing reactions, and purifying DNA. Part one of the review also showed that the majority of genome centers use both in-house automation and commercial automation (Collins et al. 1998;Wendl et al. 1998;Mullikin and McMurragy 1999;Spurr et al. 1999; see http://www.genome.org for a supplementary table providing a snapshot view of automation used at a number of different genome centers).In this, the second part of the review, the focus is on automation after DNA preparation and sequencing reactions-on obtaining the sequence and its analysis. A discussion of future technologies for DNA sequencing projects is also included. (See the web sites referenced for photos or further details on the instruments presented.)

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Section: Single Molecule Analysismentioning

confidence: 99%

Automation for Genomics, Part Two: Sequencers, Microarrays, and Future Trends

Meldrum¹

2000

Genome Res.

116

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“…To be giving useful results G(τ) is generally evaluated for a total range of several microseconds [25].…”

Section: Fluorescence Correlation Spectroscopymentioning

confidence: 99%

Highly Sensitive Arrays of Nano-sized Single-Photon Avalanche Diodes for Industrial and Bio Imaging

Charbon

2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. In this paper we present a review of recent advances in the field of ultra-sensitive imagers with ultra fast detection capability. Photon counting capability in these sensors is generally available, along with time-of-arrival analysis, thus enabling an increasingly broad range of diagnostics applications. The current trend is to migrate the designs with nanometric feature sizes and to push integration to new highs, so as to enable placing more functionality and more processing on pixel and on chip. Examples of these new trends are given in the context of industrial and bio applications.

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“…In order to test thousands of different drug-like compounds, including non-fluorescent compounds, with the same assay, a competitive binding strategy is generally employed [28]. First, a ligand that is known to bind to the target biomolecule must be fluorescently labeled.…”

Section: Fluorescence Diagnostics For Pharma-ceutical Compound Screeningmentioning

confidence: 99%

Data Reduction Methods for Application of Fluorescence Correlation Spectroscopy to Pharmaceutical Drug Discovery

Davis¹,

Williams²,

Swift³

et al. 2003

CPB

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Fluorescence methods are commonly used in pharmaceutical drug discovery to assay the binding of drug-like compounds to signaling proteins and other bio-particles. For binding studies of non-fluorescent compounds, a competitive format may be used in which the binding of the compound results in displacement of another fluorescently labeled ligand. Highly-sensitive measurements within nano-liter sized open probe volumes can be accomplished using a confocal epiillumination geometry and thus key tools for such drug-binding studies include fluorescence correlation spectroscopy (FCS) and its related techniques. This paper reviews the general protocol for application of FCS to biomolecular compound-binding assays and it focuses on methods for the reduction of experimental photon count data to obtain the normalized autocorrelation function (ACF), on theoretical models of the ACF, and on statistical and systematic errors in the experimental ACF. Results from a detailed Monte Carlo simulation of FCS, which are useful for testing theoretical models and validating short-duration assay capabilities, are discussed. An illustrative example is presented on the use of FCS to assay binding of Alexa-488-labeled Bak peptide with Bcl-x L , which is an intracellular protein that acts to protect against programmed cell death.

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Single Molecule Detection Technologies in Miniaturized High Throughput Screening: Fluorescence Correlation Spectroscopy

Cited by 64 publications

References 24 publications

Automation for Genomics, Part Two: Sequencers, Microarrays, and Future Trends

Automation for Genomics, Part Two: Sequencers, Microarrays, and Future Trends

Highly Sensitive Arrays of Nano-sized Single-Photon Avalanche Diodes for Industrial and Bio Imaging

Data Reduction Methods for Application of Fluorescence Correlation Spectroscopy to Pharmaceutical Drug Discovery

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