Sci. Aging Knowl. Environ., 11 June 2003
Vol. 2003, Issue 23, p. pe14
[DOI: 10.1126/sageke.2003.23.pe14]

PERSPECTIVES

Monitoring Proteins in Intact Cells

Oksana Berezovska, Brian J. Bacskai, and Bradley T. Hyman

The authors are at the Alzheimer's Disease Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA. E-mail: oberezovska{at}partners.org (O.B.)

http://sageke.sciencemag.org/cgi/content/full/sageke;2003/23/pe14

Key Words: neurodegenerative disease • protein-protein interaction • protein conformation • fluorescence resonance energy transfer • fluorescence lifetime imaging microscopy • presenilin • amyloid precursor protein

Abstract: In the past decade, tremendous progress has been made in understanding the molecular mechanisms that underlie many neurodegenerative disorders, and common aspects of the pathological processes that lead to neuronal cell death have emerged. Nearly all of these advances have come from genetic, molecular, and biochemical studies that point to alterations in protein folding or protein-protein interactions as the fundamental mechanism behind these disorders. New microscopy/imaging technologies for detecting protein-protein interactions are now poised to contribute to progress in this field. Here we describe a novel technique based on fluorescence resonance energy transfer, called fluorescence lifetime imaging microscopy (FLIM), which allows monitoring of protein conformation and protein-protein interactions in intact cells. For example, using FLIM, we have studied the interaction of two proteins related to Alzheimer's disease: amyloid precursor protein (APP) and presenilin (PS-1). By measuring the lifetime of a donor fluorophore linked to PS-1, we show, with high subcellular resolution, localization of the PS-1-APP interaction within neurons. This approach may have widespread applicability in studies of neurodegenerative disease mechanisms.

Citation: O. Berezovska, B. J. Bacskai, B. T. Hyman, Monitoring Proteins in Intact Cells. Sci. SAGE KE 2003, pe14 (11 June 2003)
http://sageke.sciencemag.org/cgi/content/full/sageke;2003/23/pe14

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Science of Aging Knowledge Environment. ISSN 1539-6150