Systems Biology (Methods in Molecular Biology)

(Tina Sui) #1
from each image its average intensity, as previously
demonstrated [24].


  1. Calculate the spatiotemporal correlation (Eq. 1, G(ξ,χ,τ)).
    Remove G(ξ,χ,0) because the correlation due to the shot
    noise in low-light regime dominatesG(0,0,0). The correlation
    due to the detector dominates theG(1,0,0), and molecular
    movement during the exposure time could deformG(ξ,χ,τ) for
    τ¼0 by producing an apparent increase in the measured PSF
    waist (this effect disappears forτ>0). InterpolateG(ξ,χ,τ)bya
    Gaussian fit (Eq.3) (e.g., by the Matlab “gaussfit” function) to
    recover theiMSD.

  2. Plot the obtained waistσ(τ)^2 (iMSD) as a function of time (see
    Note 8). The first few points can be fitted to extrapolate the
    intercept at zero time delay (σ 02 ) (5 points are usually enough
    but more points can be fitted if they show a linear behavior) and
    compare the obtained value with the previously calibrated value
    of the PSF (seeNote 9).

  3. Transient confinement: the case of TfR-GFP. Many studies
    showed that the cytoplasmic tail of this receptor interacts with
    the membrane-associated F-actin skeleton, which in turn acts
    as a fence for the receptor mobility [15, 25] (Fig.4a). A
    representative TIRF image of a CHO-K1 cell expressing
    TfR-GFP is presented in Fig.2b (seeNote 10). The temporal
    evolution of the correlation function with the corresponding
    Gaussian fit and residues shows the expected decrease in height
    and increase in width of the correlation, due to molecular
    movement (Fig.2c). Also, the autocorrelation plot shows
    that the characteristic time of the fluctuations is shorter than
    the total length of the measurement (arrow) (Fig.2d). Thus,
    immobile fraction removal is a safe operation. As expected, the
    measured diffusion law (Fig.2e, red curve) for TfR-GFP shows
    a first flat behavior below 100 nm, with an averageDappof
    about 0.7μm^2 /s, followed by consequent rapid decrease in
    apparent diffusivity down to 0.2μm^2 /s (the value typically
    measured by diffraction-limited FCS [15]). This result shows
    that our approach can easily measure the average displacement
    of GFP labeled proteins with a resolution of few tens of nan-
    ometers (seeNote 11and ref.26). Moreover, the spatial scale at
    which theiMSD starts to decrease its slope sets the characteris-
    tic spatial scale of protein (partial) spatial confinement induced
    by the membrane skeleton at around 120 nm, in keeping with
    previous estimates [1]. F-actin digestion by Latrunculin B
    (Fig.2f) produces the expected change in the TfR-GFP diffu-
    sion law (Fig.2e, green curve).

  4. Dynamic partitioning: the case of GFP-GPI. The iMSD
    approach has the ability to discriminate between transiently


284 Francesco Cardarelli

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