Project description:Despite much work, subcellular neurons of Caenorhabditis elegans have not been studied at nanometer resolution with millisecond time resolution. Nor has there been an effective way to immobilize C. elegans. Here we show that, without using anesthetic or paralyzing agents, fluorescence imaging with one-nanometer accuracy (FIONA) can be successfully applied to fluorescently labeled molecules within C. elegans nerves. GFP- and DENDRA2-labeled ELKS punctae can be localized with sub-10 nm accuracy in approximately 5 ms. Our results show that the protein ELKS is occasionally transferred by microtubule-based motors. This is the first example of FIONA applied to a living organism.
Project description:Bennett lesions, also known as "thrower's exostosis" of the shoulder, involve ossification of the posteroinferior glenoid and are not uncommon in overhead throwing athletes. The literature surrounding the optimal operative management of the symptomatic Bennett lesion is limited. The purpose of this article is to describe the arthroscopic surgical technique for the visualization and excision of the symptomatic extra-articular pathologic ossification involving the posteroinferior glenoid. Because many surgeons may not be familiar with this problem or procedure, we present a straightforward method that allows for identification and excision of the exostosis through an arthroscopic posterior arthrotomy.
Project description:Multi-protein complexes are ubiquitous and play essential roles in many biological mechanisms. Single molecule imaging techniques such as electron microscopy (EM) and atomic force microscopy (AFM) are powerful methods for characterizing the structural properties of multi-protein and multi-protein-DNA complexes. However, a significant limitation to these techniques is the ability to distinguish different proteins from one another. Here, we combine high resolution fluorescence microscopy and AFM (FIONA-AFM) to allow the identification of different proteins in such complexes. Using quantum dots as fiducial markers in addition to fluorescently labeled proteins, we are able to align fluorescence and AFM information to ?8nm accuracy. This accuracy is sufficient to identify individual fluorescently labeled proteins in most multi-protein complexes. We investigate the limitations of localization precision and accuracy in fluorescence and AFM images separately and their effects on the overall registration accuracy of FIONA-AFM hybrid images. This combination of the two orthogonal techniques (FIONA and AFM) opens a wide spectrum of possible applications to the study of protein interactions, because AFM can yield high resolution (5-10nm) information about the conformational properties of multi-protein complexes and the fluorescence can indicate spatial relationships of the proteins in the complexes.
Project description:The multistate Bennett acceptance ratio method (MBAR) and unbinned weighted histogram analysis method (UWHAM) are widely employed approaches to calculate relative free energies of multiple thermodynamic states that gain statistical precision by employing free energy contributions from configurations sampled at each of the simulated λ states. With the increasing availability of high throughput computing resources, a large number of configurations can be sampled from hundreds or even thousands of states. Combining sampled configurations from all states to calculate relative free energies requires the iterative solution of large scale MBAR/UWHAM equations. In the current work, we describe the development of a fast solver to iteratively solve these large scale MBAR/UWHAM equations utilizing our previous findings that the MBAR/UWHAM equations can be derived as a Rao-Blackwell estimator. The solver is implemented and distributed as a Python module called FastMBAR. Our benchmark results show that FastMBAR is more than 2 times faster than the widely used solver pymbar, when it runs on a central processing unit (CPU) and more than 100 times faster than pymbar when it runs on a graphical processing unit (GPU). The significant speedup achieved by FastMBAR running on a GPU is useful not only for solving large scale MBAR/UWHAM equations but also for estimating uncertainty of calculated free energies using bootstrapping where the MBAR/UWHAM equations need to be solved multiple times.
Project description:We report the first two-photon (2P) microscopy of individual quantum dots (QDs) in an aqueous environment with both widefield and point-scan excitations at nanometer accuracy. Thiol-containing reductants suppress QD blinking and enable measurement of the 36 nm step size of individual Myosin V motors in vitro. We localize QDs with an accuracy of 2-3 nm in all three dimensions by using a 9 × 9 matrix excitation hologram and an array detector, which also increases the 3D scan imaging rate by 80-fold. With this 3D microscopy we validate the LamB receptor distribution on E. coli and the endocytosis of EGF-receptors in breast cancer cells.
Project description:The Bennett lesion is an extra-articular ossification at the posteroinferior glenoid rim that is common among overhead-throwing athletes. While the majority of these exostoses are asymptomatic, some may cause posterior shoulder pain during throwing motion and frequently have concomitant posterior labral tears. Multiple approaches to Bennett lesion resection have been described, and there is debate regarding the need for capsulotomy, posterior labral repair, and capsular repair. The purpose of this article is to describe our preferred surgical technique for arthroscopic Bennett lesion resection and posterior labral repair using knotless all-suture anchors.