We have engineered a nanosensor for sequence-specific detection of single nucleic acid molecules across a lipid bilayer. The sensor is composed of a protein channel nanopore (alpha-hemolysin) housing a DNA probe with an avidin anchor at the 5' end and a nucleotide sequence designed to noncovalently bind a specific single-stranded oligonucleotide at the 3' end. The 3' end of the DNA probe is driven to the opposite side of the pore by an applied electric potential, where it can specifically bind to oligonucleotides. Reversal of the applied potential withdraws the probe from the pore, dissociating it from a bound oligonucleotide. The time required for dissociation of the probe-oligonucleotide duplex under this force yields identifying characteristics of the oligonucleotide. We demonstrate transmembrane detection of individual oligonucleotides, discriminate between molecules differing by a single nucleotide, and investigate the relationship between dissociation time and hybridization energy of the probe and analyte molecules. The detection method presented in this article is a candidate for in vivo single-molecule detection and, through parallelization in a synthetic device, for genotyping and global transcription profiling from small samples.
In an effort to increase throughput and decrease the cost of electrophoretic separation of DNA and proteins, various groups are developing highly parallel, miniaturized separation devices based on capillaries etched into silicon, glass or plastic substrates. To date, these miniaturized devices have relied on optical detectors, thus placing a lower limit on instrument size, and complicating the incorporation of an entire DNA analyzer instrument on a chip. To address this limitation, we are evaluating nanopores as candidate Coulter counters for purely electronic detection of analytes in miniaturized electrophoresis and similar separation devices. To establish feasibility of this detection scheme, we have investigated the detection sensitivity of a nanopore sensor through experiments with the alpha-hemolysin (alpha-HL) ion channel, and through a Monte Carlo (MC) model of polymer capture rate with a cylindrical nanopore under an applied voltage. Experimental and model results are extrapolated to predict the capture rate of synthetic pores operating at higher voltages than presently achievable with protein pores.
In the past decade, nanometre-scale pores have been explored as the basis for technologies to analyse and sequence single nucleic acid molecules. Most approaches involve using such a pore to localize single macromolecules and interact with them to garner some information on their composition. Though nanopore sensors cannot yet claim success at deoxyribonucleic acid (DNA) sequencing, nanopore-based technologies offer one of the most promising approaches to single molecule detection and analysis. The majority of experimental work with nanopore detection of nucleic acids has involved the α-haemolysin (alpha-HL) ion channel-a heptameric protein with a ∼2 nm diameter inner pore which allows translocation of single-stranded DNA. Analysis of externally induced ion current through the pore during its interaction with DNA can provide information about the DNA molecule, including length and base composition. This review focuses on alpha-HL and its applications to single-molecule detection. Modified alpha-HL and other biological and synthetic pores for macromolecule detection are also discussed, along with a brief summary of relevant theoretical work and numerical modelling of polymer-pore interaction.
A large fraction of the cost of DNA sequencing and other DNA-analysis processes results from the reagent costs incurred during cycle sequencing or PCR. In particular, the high cost of the enzymes and dyes used in these processes often results in thermal cycling costs exceeding $0.50 per sample. In the case of high-throughput DNA sequencing, this is a significant and unnecessary expense. Improved detection efficiency of new sequencing instrumentation allows the reaction volumes for cycle sequencing to be scaled down to one-tenth of presently used volumes, resulting in at least a 10-fold decrease in the cost of this process. However, commercially available thermal cyclers and automated reaction setup devices have inherent design limitations which make handling volumes of <1 µL extremely difficult. In this paper, we describe a method for thermal cycling aimed at reliable, automated cycling of submicroliter reaction volumes.
This paper describes development and deployment of an online interactive ethical decision-making simulation. This tool was piloted in a first-year introduction to engineering course at the University of British Columbia. It used a “choose your own adventure” style of decision-making and narrative to add realism and engagement to what was otherwise viewed by students as dry, uninteresting content. After storyboarding using sticky notes and Visio, the final tool used by students was implemented and deployed using a survey tool (Qualtrics). It featured a scenario with initially incomplete information and the appearance of unethical behaviour by others. It included decision-based branching, but also randomization such that different groups had the story unfold differently, even if they made the same initial decisions. Student feedback on this tool was very positive, suggesting this style of interactive online ethics simulation could be an effective tool for enhancing engagement and learning.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.