Far-red fluorescent tags for protein imaging in living tissues
Autor: | Tatiana V. Chepurnykh, Christopher S. Murphy, Dmitry Shcherbo, Elena A. Solovieva, Patrick M. Roche, Vladimir Z. Pletnev, Michael W. Davidson, Andrey G. Zaraisky, Vladislav V. Verkhusha, Aleksandr S. Shcheglov, Galina V. Ermakova, Dmitriy M. Chudakov, Sergey Lukyanov, Kristin L. Hazelwood |
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Rok vydání: | 2009 |
Předmět: |
Diagnostic Imaging
Embryo Nonmammalian genetic structures Molecular Sequence Data Xenopus Biology Biochemistry Fluorescence Article Cell Line Xenopus laevis Animals Humans Amino Acid Sequence Molecular Biology Peptide sequence Fluorescent Dyes Luminescent Proteins Cell Biology biology.organism_classification Protein subcellular localization prediction Molecular biology Fusion protein Biophysics mCherry Sequence Alignment HeLa Cells Fluorescent tag |
Zdroj: | Biochemical Journal. 418:567-574 |
ISSN: | 1470-8728 0264-6021 |
Popis: | A vast colour palette of monomeric fluorescent proteins has been developed to investigate protein localization, motility and interactions. However, low brightness has remained a problem in far-red variants, which hampers multicolour labelling and whole-body imaging techniques. In the present paper, we report mKate2, a monomeric far-red fluorescent protein that is almost 3-fold brighter than the previously reported mKate and is 10-fold brighter than mPlum. The high-brightness, far-red emission spectrum, excellent pH resistance and photostability, coupled with low toxicity demonstrated in transgenic Xenopus laevis embryos, make mKate2 a superior fluorescent tag for imaging in living tissues. We also report tdKatushka2, a tandem far-red tag that performs well in fusions, provides 4-fold brighter near-IR fluorescence compared with mRaspberry or mCherry, and is 20-fold brighter than mPlum. Together, monomeric mKate2 and pseudo-monomeric tdKatushka2 represent the next generation of extra-bright far-red fluorescent probes offering novel possibilities for fluorescent imaging of proteins in living cells and animals. |
Databáze: | OpenAIRE |
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