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Biomedical subjects

Keith M Berland

Publications and source records attributed to Keith M Berland.

7 recordsLinked to original sources

Nuclear localization signal receptor affinity correlates with in vivo localization in Saccharomyces cerevisiae.

Nuclear localization signals (NLSs) target proteins into the nucleus through mediating interactions with nuclear import receptors. Here, we perform a quantitative analysis of the correlation between NLS receptor affinity and the steady-state distribution of NLS-bearing cargo proteins between the cytoplasm and the nucleus of live yeast, which reflects the relative import rates of various NLS sequences. We find that there is a complicated, but monotonic quantitative relationship between the affinity of an NLS for the import receptor, importin alpha, and the steady-state accumulation of the cargo in the nucleus. This analysis takes into consideration the impact of protein size. In addition, the hypothetical upper limit to an NLS affinity for the receptors is explored through genetic approaches. Overall, our results indicate that there is a correlation between the binding affinity of an NLS cargo for the NLS receptor, importin alpha, and the import rate for this cargo. This correlation, however, is not maintained for cargoes that bind to the NLS receptor with very weak or very strong affinity.

Active Transport, Cell Nucleus↗

Observation volumes and {gamma}-factors in two-photon fluorescence fluctuation spectroscopy.

Fluorescence fluctuation spectroscopy has become an important measurement tool for investigating molecular dynamics, molecular interactions, and chemical kinetics in biological systems. Although the basic theory of fluctuation spectroscopy is well established, it is not widely recognized that saturation of the fluorescence excitation can dramatically alter the size and profile of the fluorescence observation volume from which fluorescence fluctuations are measured, even at relatively modest excitation levels. A precise model for these changes is needed for accurate analysis and interpretation of fluctuation spectroscopy data. We here introduce a combined analytical and computational approach to characterize the observation volume under saturating conditions and demonstrate how the variation in the volume is important in two-photon fluorescence correlation spectroscopy. We introduce a simple approach for analysis of fluorescence correlation spectroscopy data that can fully account for the effects of saturation, and demonstrate its success for characterizing the observed changes in both the amplitude and relaxation timescale of measured correlation curves. We also discuss how a quantitative model for the observed phenomena may be of broader importance in fluorescence fluctuation spectroscopy.

Biophysics↗

Saturation modified point spread functions in two-photon microscopy.

Excitation saturation can dramatically alter the effective imaging point spread function (PSF) in two-photon fluorescence microscopy. The saturation-modified PSF can have important implications for resolution in fluorescence imaging as saturation leads to both an increased fluorescence observation volume and an altered spatial profile for the PSF. We introduce here a computational approach to accurately quantify molecular excitation profiles that represent the modified imaging PSF in two-photon microscopy under the influence of excitation saturation. An analytical model that accounts for pulsed laser excitation is developed to calculate the influence of saturation at any location within the excitation laser profile. The overall saturation modified molecular excitation profiles are then evaluated numerically. Our results demonstrate that saturation can play an important role in two-photon fluorescence microscopy even with relatively modest excitation levels.

Fluorescent Dyes↗

Detection of specific DNA sequences using dual-color two-photon fluorescence correlation spectroscopy.

Fluorescence correlation spectroscopy (FCS) is rapidly growing in popularity as a biomedical research tool. FCS measurements can produce an accurate characterization of the chemical, physical, and kinetic properties of a biological system. They can also serve as a diagnostic, detecting particular molecular species with high sensitivity and specificity. We here demonstrate that dual-color FCS measurements can be applied to detect and quantify the concentration of specific non-fluorescent molecular species without requiring any modifications to the molecule of interest. We demonstrate this capability by applying dual-color two-photon fluorescence cross-correlation spectroscopy to detect single stranded gamma tubulin DNA in solution with high sensitivity. This quantification is independent of molecular size, and the methods introduced can be extended to measurements in complex environments such as within living cells.

Algorithms↗

Fluorescence correlation spectroscopy: a new tool for quantification of molecular interactions.

Fluorescence correlation spectroscopy (FCS) provides a powerful method to measure molecular dynamics and interactions in a wide variety of experimental systems and environments. In this article we focus on the use of FCS methods to quantify molecular interactions, including the use of diffusion analysis and molecular counting. Both autocorrelation and cross-correlation FCS measurements are discussed.

Microscopy, Fluorescence, Multiphoton↗

Characterizing observation volumes and the role of excitation saturation in one-photon fluorescence fluctuation spectroscopy.

Fluorescence correlation spectroscopy (FCS) and related distribution analysis techniques have become extremely important and widely used research tools for analyzing the dynamics, kinetics, interactions, and mobility of biomolecules. However, it is not widely recognized that photophysical dynamics can dramatically influence the calibration of fluctuation spectroscopy instrumentation. While the basic theories for fluctuation spectroscopy methods are well established, there have not been quantitative models to characterize the photophysical-induced variations observed in measured fluctuation spectroscopy data under varied excitation conditions. We introduce quantitative models to characterize how the fluorescence observation volumes in one-photon confocal microscopy are modified by excitation saturation as well as corresponding models for the effect of the volume changes in FCS. We introduce a simple curve fitting procedure to model the role of saturation in FCS measurements and demonstrate its accuracy in fitting measured correlation curves over a wide range of excitation conditions.

Algorithms↗