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Encouraging Interest in the Development of Automated Fluorescence Microscopy Systems

The trend towards automated high content assays, particularly for systems biology and drug discovery, has stimulated the development of automated fluorescence microscopy systems to image sample arrays.

Today’s commercially available high content analysis (HCA) instruments predominantly employ fluorescence intensity imaging to map the relative distribution and colocalization of labelled proteins with subcellular resolution.

Although commonplace in biology laboratories, Förster resonant energy transfer (FRET) measurements have not been widely taken up for drug discovery. Conventional (manual) FRET microscopy is too time-consuming and labour-intensive for high throughput applications. One of the most widely used approaches to map FRET is fluorescence lifetime imaging (FLIM).

However, a lack of available FLIM instrumentation for automated multiwell plate readouts is constricting its use in drug discovery. Recently, a team led by Paul M. W. French from Imperial College London developed a system for rapid FLIM and FRET for HCA which has been implemented in the time domain using a gated optical image intensifier to provide wide-field time-gated imaging and incorporated a quasi-wide-field Nipkow (“spinning disc”) microscope unit to provide optical sectioning.

The British scientists now present an automated multiwell plate reader able to perform rapid unsupervised optically sectioned FLIM of fixed and live biological samples. They illustrate its potential to assay protein-protein interactions through application to Gag protein aggregation during the HIV life cycle.

HIV-1 Gag proteins are the molecular machine responsible for orchestrating the assembly of nascent HIV-1 virions at the cell membrane. Upon oligomerisation of two or more Gag proteins, a sequestered myristic acid moiety present in Gag monomers is exposed to the solvent. This ‘myristic switch’ mechanism drives membrane binding – providing an opportunity to interfere with virion formation.

Labeling Gag proteins with fluorescent protein tags enables their distribution to be visualized and formation of viral like particles can be assayed using FLIM-FRET. For their improved FLIM FRET assay of Gag protein aggregation, the researchers chose HeLa cells as a superior biological host.

With help of the new automated FLIM plate reader it was possible to discriminate different biomolecular processes as the HIV-1 Gag protein interactions were manipulated through the use of myristic acid negative mutants that are unable to bind the plasma membrane.

Furthermore the scientists applied an inhibitor of myristoylation to permit, for the first time, a quantitative evaluation of FLIM FRET assay performance using dose response curves and calculation of Z’ factors.

They used this metric to compare the assay performance of hetero-FRET and homo-FRET readouts of the Gag protein interactions. This study is the first FLIM assay of protein aggregation based on homo-FRET (donor and acceptor molecules are the same). The researchers are planning to utilise this new capability to screen for other novel inhibitors of HIV formation with a view to developing therapies for HIV and other viral infections. (Text contributed by K. Maedefessel-Herrmann.)

Alibhai, D., et al; J. Biophotonics 6(5), 398-408 (2013); DOI 10.1002/jbio.201200185

Journal of Biophotonics publishes cutting edge research on interactions between light and biological material, covering research in the fields of physics, chemistry, biology and medicine.

The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for diagnosis of diseases. JBP offers fast publication times: down to 20 days from acceptance to publication. Latest Journal Impact Factor (2011): 4.343 (ISI Journal Citation Reports 2011)


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  1. Adolfo Carloni Adolfo Carloni Italy says:

    You must tell us the price cost, the dimension of the overall instrumentation and the time consumed for a perfect scan.

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