Browsing by Author "Yin, Peng"
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Item DyNAMiC Workbench: an integrated development environment for dynamic DNA nanotechnology(The Royal Society, 2015) Grun, Casey; Werfel, Justin; Zhang, David Yu; Yin, PengDynamic DNA nanotechnology provides a promising avenue for implementing sophisticated assembly processes, mechanical behaviours, sensing and computation at the nanoscale. However, design of these systems is complex and error-prone, because the need to control the kinetic pathway of a system greatly increases the number of design constraints and possible failure modes for the system. Previous tools have automated some parts of the design workflow, but an integrated solution is lacking. Here, we present software implementing a three ‘tier’ design process: a high-level visual programming language is used to describe systems, a molecular compiler builds a DNA implementation and nucleotide sequences are generated and optimized. Additionally, our software includes tools for analysing and ‘debugging’ the designs in silico, and for importing/exporting designs to other commonly used software systems. The software we present is built on many existing pieces of software, but is integrated into a single package—accessible using a Web-based interface at http://molecular-systems.net/workbench. We hope that the deep integration between tools and the flexibility of this design process will lead to better experimental results, fewer experimental design iterations and the development of more complex DNA nanosystems.Item Ultraspecific and Highly Sensitive Nucleic Acid Detection by Integrating a DNA Catalytic Network with a Label-Free Microcavity(Wiley, 2014) Wu, Yuqiang; Zhang, David Yu; Yin, Peng; Vollmer, FrankNucleic acid detection with label-free biosensors circumvents costly fluorophore functionalization steps associated with conventional assays by utilizing transducers of impressive ultimate detection limits. Despite this technological prowess, molecular recognition at a surface limits the biosensors' sensitivity, specificity, and reusability. It is therefore imperative to integrate novel molecular approaches with existing label-free transducers to overcome those limitations. Here, we demonstrate this concept by integrating a DNA strand displacement circuit with a micron-scale whispering gallery mode (WGM) microsphere biosensor. The integrated biosensor exhibits at least 25-fold improved nucleic acid sensitivity, and sets a new record for label-free microcavity biosensors by detecting 80 pM (32 fmol) of a 22nt oligomer; this improvement results from the catalytic behavior of the circuit. Furthermore, the integrated sensor exhibits extremely high specificity; single nucleotide variants yield 40- to 100-fold lower signal. Finally, the same physical sensor was demonstrated to alternatingly detect 2 different nucleic acid sequences through 5 cycles of detection, showcasing both its reusability and its versatility.Item Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling(Public Library of Science, 2018) Nir, Guy; Farabella, Irene; Estrada, Cynthia Pérez; Ebeling, Carl G.; Beliveau, Brian J.; Sasaki, Hiroshi M.; Lee, S. Dean; Nguyen, Son C.; McCole, Ruth B.; Chattoraj, Shyamtanu; Erceg, Jelena; Abed, Jumana AlHaj; Martins, Nuno M.C.; Nguyen, Huy Q.; Hannan, Mohammed A.; Russell, Sheikh; Durand, Neva C.; Rao, Suhas S.P.; Kishi, Jocelyn Y.; Soler-Vila, Paula; Pierro, Michele Di; Onuchic, José N.; Callahan, Steven P.; Schreiner, John M.; Stuckey, Jeff A.; Yin, Peng; Aiden, Erez Lieberman; Marti-Renom, Marc A.; Wu, C.-tingChromosome organization is crucial for genome function. Here, we present a method for visualizing chromosomal DNA at super-resolution and then integrating Hi-C data to produce three-dimensional models of chromosome organization. Using the super-resolution microscopy methods of OligoSTORM and OligoDNA-PAINT, we trace 8 megabases of human chromosome 19, visualizing structures ranging in size from a few kilobases to over a megabase. Focusing on chromosomal regions that contribute to compartments, we discover distinct structures that, in spite of considerable variability, can predict whether such regions correspond to active (A-type) or inactive (B-type) compartments. Imaging through the depths of entire nuclei, we capture pairs of homologous regions in diploid cells, obtaining evidence that maternal and paternal homologous regions can be differentially organized. Finally, using restraint-based modeling to integrate imaging and Hi-C data, we implement a method-integrative modeling of genomic regions (IMGR)-to increase the genomic resolution of our traces to 10 kb.