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Dive into the research topics where Keith M. Berland is active.

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Featured researches published by Keith M. Berland.


Journal of Biological Chemistry | 2006

Nuclear Localization Signal Receptor Affinity Correlates with in Vivo Localization in Saccharomyces cerevisiae

Alec E. Hodel; Michelle T. Harreman; Kanika F. Pulliam; Mary Elizabeth Harben; Jordan S. Holmes; Mary R. Hodel; Keith M. Berland; Anita H. Corbett

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 α, 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 α, 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.


Journal of the American Chemical Society | 2010

Direct observation of nucleation and growth in amyloid self-assembly.

Yan Liang; David G. Lynn; Keith M. Berland

Access to native protein structure depends on precise polypeptide folding and assembly pathways. Identifying folding missteps that may lead to the nearly 40 protein misfolding diseases could feature prominently in the development of intervention strategies. Accordingly, we have investigated the earliest steps of assembly by the folding nucleus of the Alzheimers disease Abeta peptide with real-time imaging and fluorescence correlation spectroscopy. These analyses reveal the immediate formation of large micrometer size clusters maintaining properties of intermolecular molten globules. These dynamic unstructured aggregates serve as the nucleating sites for amyloid growth and, as with native protein folding, appear important for backbone desolvation. The resulting amyloid nucleus however is able to template monomer addition from solution at rates from 2K peptides/s at millimolar peptide concentrations. This direct observation of amyloid assembly unifies several divergent models that currently exist for protein misfolding.


Proceedings of the National Academy of Sciences of the United States of America | 2007

Recognition of polyadenosine RNA by zinc finger proteins

Seth M. Kelly; Suzette A. Pabit; Chad M. Kitchen; Peng Guo; Kavita A. Marfatia; T. J. Murphy; Anita H. Corbett; Keith M. Berland

Messenger RNA transcripts are coated from cap to tail with a dynamic combination of RNA binding proteins that process, package, and ultimately regulate the fate of mature transcripts. One class of RNA binding proteins essential for multiple aspects of mRNA metabolism consists of the poly(A) binding proteins. Previous studies have concentrated on the canonical RNA recognition motif-containing poly(A) binding proteins as the sole family of poly(A)-specific RNA binding proteins. In this study, we present evidence for a previously uncharacterized poly(A) recognition motif consisting of tandem CCCH zinc fingers. We have probed the nucleic acid binding properties of a yeast protein, Nab2, that contains this zinc finger motif. Results of this study reveal that the seven tandem CCCH zinc fingers of Nab2 specifically bind to polyadenosine RNA with high affinity. Furthermore, we demonstrate that a human protein, ZC3H14, which contains CCCH zinc fingers homologous to those found in Nab2, also specifically binds polyadenosine RNA. Thus, we propose that these proteins are members of an evolutionarily conserved family of poly(A) RNA binding proteins that recognize poly(A) RNA through a fundamentally different mechanism than previously characterized RNA recognition motif-containing poly(A) binding proteins.


Biophysical Journal | 2008

Propagators and Time-Dependent Diffusion Coefficients for Anomalous Diffusion

Jianrong Wu; Keith M. Berland

Complex diffusive dynamics are often observed when one is investigating the mobility of macromolecules in living cells and other complex environments, yet the underlying physical or chemical causes of anomalous diffusion are often not fully understood and are thus a topic of ongoing research interest. Theoretical models capturing anomalous dynamics are widely used to analyze mobility data from fluorescence correlation spectroscopy and other experimental measurements, yet there is significant confusion regarding these models because published versions are not entirely consistent and in some cases do not appear to satisfy the diffusion equation. Further confusion is introduced through variations in how fitting parameters are reported. A clear definition of fitting parameters and their physical significance is essential for accurate interpretation of experimental data and comparison of results from different studies acquired under varied experimental conditions. This article aims to clarify the physical meaning of the time-dependent diffusion coefficients associated with commonly used fitting models to facilitate their use for investigating the underlying causes of anomalous diffusion. We discuss a propagator for anomalous diffusion that captures the power law dependence of the mean-square displacement and can be shown to rigorously satisfy the extended diffusion equation provided one correctly defines the time-dependent diffusion coefficient. We also clarify explicitly the relation between the time-dependent diffusion coefficient and fitting parameters in fluorescence correlation spectroscopy.


Applied Optics | 2003

Excitation saturation in two-photon fluorescence correlation spectroscopy

Keith M. Berland; Guoqing Shen

Fluorescence correlation spectroscopy (FCS) has become a powerful and sensitive research tool for the study of molecular dynamics at the single-molecule level. Because photophysical dynamics often dramatically influence FCS measurements, the role of various photophysical processes in FCS measurements must be understood to accurately interpret FCS data. We describe the role of excitation saturation in two-photon fluorescence correlation measurements. We introduce a physical model that characterizes the effects of excitation saturation on the size and shape of the two-photon fluorescence observation volume and derive a new analytical expression for fluorescence correlation functions that includes the influence of saturation. With this model, we can accurately describe both the temporal decay and the amplitude of measured fluorescence correlation functions over a wide range of illumination powers.


Langmuir | 2012

Phase Networks of Cross-β Peptide Assemblies

W. Seth Childers; Neil R. Anthony; Anil Mehta; Keith M. Berland; David G. Lynn

Recent evidence suggests that simple peptides can access diverse amphiphilic phases, and that these structures underlie the robust and widely distributed assemblies implicated in nearly 40 protein misfolding diseases. Here we exploit a minimal nucleating core of the Aβ peptide of Alzheimers disease to map its morphologically accessible phases that include stable intermolecular molten particles, fibers, twisted and helical ribbons, and nanotubes. Analyses with both fluorescence lifetime imaging microscopy (FLIM) and transmission electron microscopy provide evidence for liquid-liquid phase separations, similar to the coexisting dilute and dense protein-rich liquid phases so critical for the liquid-solid transition in protein crystallization. We show that the observed particles are critical for transitions to the more ordered cross-β peptide phases, which are prevalent in all amyloid assemblies, and identify specific conditions that arrest assembly at the phase boundaries. We have identified a size dependence of the particles in order to transition to the para-crystalline phase and a width of the cross-β assemblies that defines the transition between twisted fibers and helically coiled ribbons. These experimental results reveal an interconnected network of increasing molecularly ordered cross-β transitions, greatly extending the initial computational models for cross-β assemblies.


Methods in Cell Biology | 2003

Fluorescence-lifetime imaging techniques for microscopy

Chen Y. Dong; T. French; Peter T. C. So; Christof Buehler; Keith M. Berland; Enrico Gratton

CHAPTER 21 Fluorescence-Lifetime Imaging Techniques for Microscopy Chen Y. Dong, 1 Todd French, 2 Peter T. C. So, 1 C. Buehler, 1 Keith M. Berland, 3 and Enrico Gratton 1 Laboratory for Fluorescence Dynamics Department of Physics University of Illinois at Urbana-Champaign Urbana, Illinois 61801 Molecular Devices Corporation Sunnyvale, California 94089 Physics Department Emory University Atlanta, Georgia 30322 I. Introduction II. Time-Resolved Fluorescence Methods A. Time-Domain and Frequency-Domain Measurements B. Simultaneous Multiple-Lifetime-Component Measurement C. Photobleaching Effects III. Fluorescence-Lifetime-Resolved Camera A. Instrumentation B. Camera-Based Microscope Examples IV. Two-Photon Fluorescence Lifetime Microscopy A. Instrumentation B. Two-Photon Microscopy Examples V. Pump-Probe Microscopy A. Instrumentation B. Pump-Probe Microscopy Examples VI. Conclusion References METHODS IN CELL BIOLOGY, VOL. 72 Copyright 1998, Elsevier Inc. All rights reserved. 0091-679X/03


Journal of Biomedical Materials Research Part B | 2009

Fibrillogenesis in Continuously Spun Synthetic Collagen Fiber

Jeffrey M. Caves; Vivek A. Kumar; Jing Wen; Wanxing Cui; Adam W. Martinez; Robert P. Apkarian; Julie E. Coats; Keith M. Berland; Elliot L. Chaikof

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Methods of Molecular Biology | 2004

Fluorescence Correlation Spectroscopy

Keith M. Berland

The universal structural role of collagen fiber networks has motivated the development of collagen gels, films, coatings, injectables, and other formulations. However, reported synthetic collagen fiber fabrication schemes have either culminated in short, discontinuous fiber segments at unsuitably low production rates, or have incompletely replicated the internal fibrillar structure that dictates fiber mechanical and biological properties. We report a continuous extrusion system with an off-line phosphate buffer incubation step for the manufacture of synthetic collagen fiber. Fiber with a cross-section of 53+ or - 14 by 21 + or - 3 microm and an ultimate tensile strength of 94 + or - 19 MPa was continuously produced at 60 m/hr from an ultrafiltered monomeric collagen solution. The effect of collagen solution concentration, flow rate, and spinneret size on fiber size was investigated. The fiber was further characterized by microdifferential scanning calorimetry, transmission electron microscopy (TEM), second harmonic generation (SHG) analysis, and in a subcutaneous murine implant model. Calorimetry demonstrated stabilization of the collagen triple helical structure, while TEM and SHG revealed a dense, axially aligned D-periodic fibril structure throughout the fiber cross-section. Implantation of glutaraldehyde crosslinked and noncrosslinked fiber in the subcutaneous tissue of mice demonstrated limited inflammatory response and biodegradation after a 6-week implant period.


Journal of Biomedical Optics | 2005

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

Attila Nagy; Jianrong Wu; Keith M. Berland

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.

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Enrico Gratton

University of California

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Peter T. C. So

Massachusetts Institute of Technology

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