Motor myosin V caught on video: Foot stomping in biology

No abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78498/1/21569_ftp.pd

Introductory editorial: Special section on single‐molecule and super‐resolution microscopy of biopolymers

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/133625/1/bip22897.pd

The Interdisciplinary Biophysics Graduate Program at the University of Michigan

The Michigan Biophysics Graduate Program (MBGP) was established in 1949, making it one of the first such programs in the world. The intellectual base of the program was significantly broadened in the 1980 when faculty members from a number of other units on campus were invited to join. Currently over forty faculty members from a variety of disciplines participate as mentors for the Ph.D. students enrolled in the MBGP providing our students with rich opportunities for academic learning and research. The MBGP has two main objectives: 1) to provide graduate students with both the intellectual and technical training in modern biophysics, 2) to sensitize our students to the power and unique opportunities of interdisciplinary work and thinking so as to train them to conduct research that crosses the boundaries between the biological and physical sciences. The program offers students opportunities to conduct research in a variety of areas of contemporary biophysics including structural biology, single molecule spectroscopy, spectroscopy and its applications, computational biology, membrane biophysics, neurobiophysics and enzymology. The MBGP offers a balanced curriculum that aims to provide our students with a strong academic base and, at the same time, accommodate their different academic backgrounds. Judging its past performance through the success of its former students, the MBGP has been highly successful, and there is every reason to believe that strong training in the biophysical sciences, as provided by the MBGP, will become even more valuable in the future both in the academic and the industrial settings. in the academic and the industrial settings. © 2008 Wiley Periodicals, Inc. Biopolymers 89: 256–261, 2008.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/58018/1/20931_ftp.pd

Single‐molecule enzymology à la Michaelis–Menten

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102694/1/febs12663.pd

Intracellular single molecule microscopy reveals two kinetically distinct pathways for microRNA assembly

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102078/1/embr201285-sup-0001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/102078/2/embr201285.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/102078/3/embr201285.reviewer_comments.pd

Beyond DNA origami: the unfolding prospects of nucleic acid nanotechnology

Nucleic acid nanotechnology exploits the programmable molecular recognition properties of natural and synthetic nucleic acids to assemble structures with nanometer‐scale precision. In 2006, DNA origami transformed the field by providing a versatile platform for self‐assembly of arbitrary shapes from one long DNA strand held in place by hundreds of short, site‐specific (spatially addressable) DNA ‘staples’. This revolutionary approach has led to the creation of a multitude of two‐dimensional and three‐dimensional scaffolds that form the basis for functional nanodevices. Not limited to nucleic acids, these nanodevices can incorporate other structural and functional materials, such as proteins and nanoparticles, making them broadly useful for current and future applications in emerging fields such as nanomedicine, nanoelectronics, and alternative energy. WIREs Nanomed Nanobiotechnol 2012, 4:139–152. doi: 10.1002/wnan.170 For further resources related to this article, please visit the WIREs website .Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90282/1/170_ftp.pd

The Shine-Dalgarno sequence of riboswitch-regulated single mRNAs shows ligand-dependent accessibility bursts

In response to intracellular signals in Gram-negative bacteria, translational riboswitches—commonly embedded in messenger RNAs (mRNAs)—regulate gene expression through inhibition of translation initiation. It is generally thought that this regulation originates from occlusion of the Shine-Dalgarno (SD) sequence upon ligand binding; however, little direct evidence exists. Here we develop Single Molecule Kinetic Analysis of RNA Transient Structure (SiM-KARTS) to investigate the ligand-dependent accessibility of the SD sequence of an mRNA hosting the 7-aminomethyl-7-deazaguanine (preQ_1)-sensing riboswitch. Spike train analysis reveals that individual mRNA molecules alternate between two conformational states, distinguished by ‘bursts’ of probe binding associated with increased SD sequence accessibility. Addition of preQ_1 decreases the lifetime of the SD’s high-accessibility (bursting) state and prolongs the time between bursts. In addition, ligand-jump experiments reveal imperfect riboswitching of single mRNA molecules. Such complex ligand sensing by individual mRNA molecules rationalizes the nuanced ligand response observed during bulk mRNA translation

A novel method to accurately locate and count large numbers of steps by photobleaching

Photobleaching event counting is a single-molecule fluorescence technique that is increasingly being used to determine the stoichiometry of protein and RNA complexes composed of many subunits in vivo as well as in vitro. By tagging protein or RNA subunits with fluorophores, activating them, and subsequently observing as the fluorophores photobleach, one obtains information on the number of subunits in a complex. The noise properties in a photobleaching time trace depend on the number of active fluorescent subunits. Thus, as fluorophores stochastically photobleach, noise properties of the time trace change stochastically, and these varying noise properties have created a challenge in identifying photobleaching steps in a time trace. Although photobleaching steps are often detected by eye, this method only works for high individual fluorophore emission signal-to-noise ratios and small numbers of fluorophores. With filtering methods or currently available algorithms, it is possible to reliably identify photobleaching steps for up to 20-30 fluorophores and signal-to-noise ratios down to ∼1. Here we present a new Bayesian method of counting steps in photobleaching time traces that takes into account stochastic noise variation in addition to complications such as overlapping photobleaching events that may arise from fluorophore interactions, as well as on-off blinking. Our method is capable of detecting ≥50 photobleaching steps even for signal-to-noise ratios as low as 0.1, can find up to ≥500 steps for more favorable noise profiles, and is computationally inexpensive

The genomic HDV ribozyme utilizes a previously unnoticed U-turn motif to accomplish fast site-specific catalysis

The genome of the human hepatitis delta virus (HDV) harbors a self-cleaving catalytic RNA motif, the genomic HDV ribozyme, whose crystal structure shows the dangling nucleotides 5′ of the cleavage site projecting away from the catalytic core. This 5′-sequence contains a clinically conserved U − 1 that we find to be essential for fast cleavage, as the order of activity follows U − 1 > C − 1 > A − 1 > G − 1, with a >25-fold activity loss from U − 1 to G − 1. Terbium(III) footprinting detects conformations for the P1.1 stem, the cleavage site wobble pair and the A-minor motif of the catalytic trefoil turn that depend on the identity of the N − 1 base. The most tightly folded catalytic core, resembling that of the reaction product, is found in the U − 1 wild-type precursor. Molecular dynamics simulations demonstrate that a U − 1 forms the most robust kink around the scissile phosphate, exposing it to the catalytic C75 in a previously unnoticed U-turn motif found also, for example, in the hammerhead ribozyme and tRNAs. Strikingly, we find that the common structural U-turn motif serves distinct functions in the HDV and hammerhead ribozymes

Molecular dynamics simulations of RNA: An in silico single molecule approach

RNA molecules are now known to be involved in the processing of genetic information at all levels, taking on a wide variety of central roles in the cell. Understanding how RNA molecules carry out their biological functions will require an understanding of structure and dynamics at the atomistic level, which can be significantly improved by combining computational simulation with experiment. This review provides a critical survey of the state of molecular dynamics (MD) simulations of RNA, including a discussion of important current limitations of the technique and examples of its successful application. Several types of simulations are discussed in detail, including those of structured RNA molecules and their interactions with the surrounding solvent and ions, catalytic RNAs, and RNA–small molecule and RNA–protein complexes. Increased cooperation between theorists and experimentalists will allow expanded judicious use of MD simulations to complement conceptually related single molecule experiments. Such cooperation will open the door to a fundamental understanding of the structure–function relationships in diverse and complex RNA molecules. © 2006 Wiley Periodicals, Inc. Biopolymers 85:169–184, 2007. This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at [email protected] Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/55864/1/20620_ftp.pd