English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Rapid characterization of green fluorescent protein fusion proteins on the molecular and cellular level by fluorescence correlation microscopy

MPS-Authors
/persons/resource/persons14897

Brock,  R.
Department of Molecular Biology, MPI for biophysical chemistry, Max Planck Society;

/persons/resource/persons15951

Vereb,  G.
Department of Molecular Biology, MPI for biophysical chemistry, Max Planck Society;

Jovin,  T. M.
Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Brock, R., Vamosi, G., Vereb, G., & Jovin, T. M. (1999). Rapid characterization of green fluorescent protein fusion proteins on the molecular and cellular level by fluorescence correlation microscopy. Proceedings of the National Academy of Sciences USA, 96, 10123-10128.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-FA3E-C
Abstract
Fluorescence correlation microscopy (FCM) was applied to characterize fusion proteins of the green fluorescent protein (GFP) on the cellular as well as molecular level within seconds in an integrated instrument. FCM combines the inherent sensitivity and high spatial resolution of fluorescence correlation spectroscopy with fluorescence imaging and micropositioning, thereby providing a spectrum of molecular information in the cellular context. Signatures of characteristic parameters derived from the autocorrelation functions served to distinguish a GFP fusion protein of the epidermal growth factor receptor from GFP fluorescence in the endoplasmic reticulum and cytoplasm. Diffusion constants measured for free transiently expressed GFP reproduced values reported previously with other techniques. The accessible concentration range extends from millions to only a few thousand molecules per cell, with single molecule detectability in the femtoliter detection volume. The detailed molecular characterization offered by FCM is fully compatible with automation in sample identification and detection, offering new possibilities for highly integrated high-throughput screening.