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Table 5.3 Listing of validated targeting sequences for biosenseur subcellular
compartimentation
Subcellular targeted
location
Targeting sequences
References
Gallegos
et al.
102
Cytosol
LALKLAGLDI
(at C-terminal)
Gallegos
et al.
102
Ananthanarayanan
et al.
136
Nucleus
PKKRKVEDA
(at C-terminal)
Sasaki
et al.
137
Gallegos
et al.
102
Golgi
33 amino residues of eNOS
(at N-terminal)
Palmer
et al.
138
Endoplasmic reticulum MLLPVLLLGLLGAAAD
(at N-terminal)
รพ
KDEL
(at C-terminal)
MGCIKSK (at N-terminal) Violin
et al.
103
Kunkel
et al.
126
Gallegos
et al.
102
Plasma membrane
References
102,103,126,136-138
.
Adapted from Refs.
4
.
remains the bottleneck through which every biosensor has to pass. Charac-
terization is a crucial step, as it determines the efficiency of new FRET-based
biosensors and thus requires several considerations. The results should pro-
vide evidence that the sensor generated is specific to the kinase of interest
and should assess the dynamic range of the biosensor in the presence of
the activator and/or inhibitor. This step usually relies on pharmacological
agents, the availability and specificity of which can be limited.
6.6.1 In vitro characterization
Upon expression of biosensors, in a bacterial system, for instance, lysates are
subjected to stringent purification procedures to retrieve only full-length
protein from the truncated protein produced as a result of proteolytic deg-
radation. Now, in solution (see Chapter 4) with the purified protein kinase
of interest and ATP, in a 96-well plate screening format or in a spectropho-
tometer cuvette, the properties of the biosensor are evaluated. Ratiometric
measurement methods (see
Section 4.1.1
for details) are then employed un-
der different experimental conditions: before and after addition of ATP and
purified kinase, and control wells for baseline ratio determination.
In addition, phosphorylation levels of the biosensor expressed in mam-
malian cells can be estimated by immunoprecipitation and detected by
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