4,375 research outputs found
Nanophotonic waveguide enhanced Raman spectroscopy of biological submonolayers
Characterizing a monolayer of biological molecules has been a major
challenge. We demonstrate nanophotonic wave-guide enhanced Raman spectroscopy
(NWERS) of monolayers in the near-infrared region, enabling real-time
measurements of the hybridization of DNA strands and the density of
sub-monolayers of biotin-streptavidin complex immobilized on top of a photonics
chip. NWERS is based on enhanced evanescent excitation and collection of
spontaneous Raman scattering near nanophotonic waveguides, which for a one
centimeter silicon nitride waveguide delivers a signal that is more than four
orders of magnitude higher in comparison to a confocal Raman microscope. The
reduced acquisition time and specificity of the signal allows for a
quantitative and real-time characterization of surface species, hitherto not
possible using Raman spectroscopy. NWERS provides a direct analytic tool for
monolayer research and also opens a route to compact microscope-less
lab-on-a-chip devices with integrated sources, spectrometers and detectors
fabricated using a mass-producible CMOS technology platform
Structure and mechanical characterization of DNA i-motif nanowires by molecular dynamics simulation
We studied the structure and mechanical properties of DNA i-motif nanowires
by means of molecular dynamics computer simulations. We built up to 230 nm long
nanowires, based on a repeated TC5 sequence from crystallographic data, fully
relaxed and equilibrated in water. The unusual stacked C*C+ stacked structure,
formed by four ssDNA strands arranged in an intercalated tetramer, is here
fully characterized both statically and dynamically. By applying stretching,
compression and bending deformation with the steered molecular dynamics and
umbrella sampling methods, we extract the apparent Young's and bending moduli
of the nanowire, as wel as estimates for the tensile strength and persistence
length. According to our results, the i-motif nanowire shares similarities with
structural proteins, as far as its tensile stiffness, but is closer to nucleic
acids and flexible proteins, as far as its bending rigidity is concerned.
Furthermore, thanks to its very thin cross section, the apparent tensile
toughness is close to that of a metal. Besides their yet to be clarified
biological significance, i-motif nanowires may qualify as interesting
candidates for nanotechnology templates, due to such outstanding mechanical
properties.Comment: 25 pages, 1 table, 7 figures; preprint submitted to Biophysical
Journa
Sequence Dependence of Transcription Factor-Mediated DNA Looping
DNA is subject to large deformations in a wide range of biological processes.
Two key examples illustrate how such deformations influence the readout of the
genetic information: the sequestering of eukaryotic genes by nucleosomes, and
DNA looping in transcriptional regulation in both prokaryotes and eukaryotes.
These kinds of regulatory problems are now becoming amenable to systematic
quantitative dissection with a powerful dialogue between theory and experiment.
Here we use a single-molecule experiment in conjunction with a statistical
mechanical model to test quantitative predictions for the behavior of DNA
looping at short length scales, and to determine how DNA sequence affects
looping at these lengths. We calculate and measure how such looping depends
upon four key biological parameters: the strength of the transcription factor
binding sites, the concentration of the transcription factor, and the length
and sequence of the DNA loop. Our studies lead to the surprising insight that
sequences that are thought to be especially favorable for nucleosome formation
because of high flexibility lead to no systematically detectable effect of
sequence on looping, and begin to provide a picture of the distinctions between
the short length scale mechanics of nucleosome formation and looping.Comment: Nucleic Acids Research (2012); Published version available at
http://nar.oxfordjournals.org/cgi/content/abstract/gks473?
ijkey=6m5pPVJgsmNmbof&keytype=re
Monitoring transient elastic energy storage within the rotary motors of single FoF1-ATP synthase by DCO-ALEX FRET
The enzyme FoF1-ATP synthase provides the 'chemical energy currency'
adenosine triphosphate (ATP) for living cells. Catalysis is driven by
mechanochemical coupling of subunit rotation within the enzyme with
conformational changes in the three ATP binding sites. Proton translocation
through the membrane-bound Fo part of ATP synthase powers a 10-step rotary
motion of the ring of c subunits. This rotation is transmitted to the gamma and
epsilon subunits of the F1 part. Because gamma and epsilon subunits rotate in
120 deg steps, we aim to unravel this symmetry mismatch by real time monitoring
subunit rotation using single-molecule Forster resonance energy transfer
(FRET). One fluorophore is attached specifically to the F1 motor, another one
to the Fo motor of the liposome-reconstituted enzyme. Photophysical artifacts
due to spectral fluctuations of the single fluorophores are minimized by a
previously developed duty cycle-optimized alternating laser excitation scheme
(DCO-ALEX). We report the detection of reversible elastic deformations between
the rotor parts of Fo and F1 and estimate the maximum angular displacement
during the load-free rotation using Monte Carlo simulationsComment: 14 pages, 7 figure
Ab initio RNA folding
RNA molecules are essential cellular machines performing a wide variety of
functions for which a specific three-dimensional structure is required. Over
the last several years, experimental determination of RNA structures through
X-ray crystallography and NMR seems to have reached a plateau in the number of
structures resolved each year, but as more and more RNA sequences are being
discovered, need for structure prediction tools to complement experimental data
is strong. Theoretical approaches to RNA folding have been developed since the
late nineties when the first algorithms for secondary structure prediction
appeared. Over the last 10 years a number of prediction methods for 3D
structures have been developed, first based on bioinformatics and data-mining,
and more recently based on a coarse-grained physical representation of the
systems. In this review we are going to present the challenges of RNA structure
prediction and the main ideas behind bioinformatic approaches and physics-based
approaches. We will focus on the description of the more recent physics-based
phenomenological models and on how they are built to include the specificity of
the interactions of RNA bases, whose role is critical in folding. Through
examples from different models, we will point out the strengths of
physics-based approaches, which are able not only to predict equilibrium
structures, but also to investigate dynamical and thermodynamical behavior, and
the open challenges to include more key interactions ruling RNA folding.Comment: 28 pages, 18 figure
Extracting physical chemistry from mechanics: a new approach to investigate DNA interactions with drugs and proteins in single molecule experiments
In this review we focus on the idea of establishing connections between the
mechanical properties of DNAligand complexes and the physical chemistry of
DNA-ligand interactions. This type of connection is interesting because it
opens the possibility of performing a robust characterization of such
interactions by using only one experimental technique: single molecule
stretching. Furthermore, it also opens new possibilities in comparing results
obtained by very different approaches, in special when comparing single
molecule techniques to ensemble-averaging techniques. We start the manuscript
reviewing important concepts of the DNA mechanics, from the basic mechanical
properties to the Worm-Like Chain model. Next we review the basic concepts of
the physical chemistry of DNA-ligand interactions, revisiting the most
important models used to analyze the binding data and discussing their binding
isotherms. Then, we discuss the basic features of the single molecule
techniques most used to stretch the DNA-ligand complexes and to obtain force x
extension data, from which the mechanical properties of the complexes can be
determined. We also discuss the characteristics of the main types of
interactions that can occur between DNA and ligands, from covalent binding to
simple electrostatic driven interactions. Finally, we present a historical
survey on the attempts to connect mechanics to physical chemistry for
DNA-ligand systems, emphasizing a recently developed fitting approach useful to
connect the persistence length of the DNA-ligand complexes to the
physicochemical properties of the interaction. Such approach in principle can
be used for any type of ligand, from drugs to proteins, even if multiple
binding modes are present
Traction force microscopy on soft elastic substrates: a guide to recent computational advances
The measurement of cellular traction forces on soft elastic substrates has
become a standard tool for many labs working on mechanobiology. Here we review
the basic principles and different variants of this approach. In general, the
extraction of the substrate displacement field from image data and the
reconstruction procedure for the forces are closely linked to each other and
limited by the presence of experimental noise. We discuss different strategies
to reconstruct cellular forces as they follow from the foundations of
elasticity theory, including two- versus three-dimensional, inverse versus
direct and linear versus non-linear approaches. We also discuss how biophysical
models can improve force reconstruction and comment on practical issues like
substrate preparation, image processing and the availability of software for
traction force microscopy.Comment: Revtex, 29 pages, 3 PDF figures, 2 tables. BBA - Molecular Cell
Research, online since 27 May 2015, special issue on mechanobiolog
Focus on chirality of HIV-​1 non-​nucleoside reverse transcriptase inhibitors
Chiral HIV-1 non-nucleoside reverse transcriptase inhibitors (NNRTIs) are of great interest since one enantiomer is often more potent than the corresponding counterpart against the HIV-1 wild type (WT) and the HIV-1 drug resistant mutant strains. This review exemplifies the various studies made to investigate the effect of chirality on the antiretroviral activity of top HIV-1 NNRTI compounds, such as nevirapine (NVP), efavirenz (EFV), alkynyl- and alkenylquinazolinone DuPont compounds (DPC), diarylpyrimidine (DAPY), dihydroalkyloxybenzyloxopyrimidine (DABO), phenethylthiazolylthiourea (PETT), indolylarylsulfone (IAS), arylphosphoindole (API) and trifluoromethylated indole (TFMI) The chiral separation, the enantiosynthesis, along with the biological properties of these HIV-1 NNRTIs, are discussed
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