Brett Gyarfas
Arizona State University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Brett Gyarfas.
Nature Nanotechnology | 2014
Yanan Zhao; Brian Ashcroft; Peiming Zhang; Hao Liu; Suman Sen; Weisi Song; JongOne Im; Brett Gyarfas; Saikat Manna; Sovan Biswas; Chad R. Borges; Stuart Lindsay
The human proteome has millions of protein variants due to alternative RNA splicing and post-translational modifications, and variants that are related to diseases are frequently present in minute concentrations. For DNA and RNA, low concentrations can be amplified using the polymerase chain reaction, but there is no such reaction for proteins. Therefore, the development of single molecule protein sequencing is a critical step in the search for protein biomarkers. Here we show that single amino acids can be identified by trapping the molecules between two electrodes that are coated with a layer of recognition molecules and measuring the electron tunneling current across the junction. A given molecule can bind in more than one way in the junction, and we therefore use a machine-learning algorithm to distinguish between the sets of electronic ‘fingerprints’ associated with each binding motif. With this recognition tunneling technique, we are able to identify D, L enantiomers, a methylated amino acid, isobaric isomers, and short peptides. The results suggest that direct electronic sequencing of single proteins could be possible by sequentially measuring the products of processive exopeptidase digestion, or by using a molecular motor to pull proteins through a tunnel junction integrated with a nanopore.
Nanotechnology | 2012
Shuai Chang; Shuo Huang; Hao Liu; Peiming Zhang; Feng Liang; Rena Akahori; Shengqin Li; Brett Gyarfas; John Shumway; Brian Ashcroft; Jin He; Stuart Lindsay
4(5)-(2-mercaptoethyl)-1H-imidazole-2-carboxamide is a molecule that has multiple hydrogen bonding sites and a short flexible linker. When tethered to a pair of electrodes, it traps target molecules in a tunnel junction. Surprisingly large recognition-tunneling signals are generated for all naturally occurring DNA bases A, C, G, T and 5-methyl-cytosine. Tunnel current spikes are stochastic and broadly distributed, but characteristic enough so that individual bases can be identified as a tunneling probe is scanned over DNA oligomers. Each base yields a recognizable burst of signal, the duration of which is controlled entirely by the probe speed, down to speeds of 1 nm s -1, implying a maximum off-rate of 3 s -1 for the recognition complex. The same measurements yield a lower bound on the on-rate of 1 M -1 s -1. Despite the stochastic nature of the signals, an optimized multiparameter fit allows base calling from a single signal peak with an accuracy that can exceed 80% when a single type of nucleotide is present in the junction, meaning that recognition-tunneling is capable of true single-molecule analysis. The accuracy increases to 95% when multiple spikes in a signal cluster are analyzed.
ACS Nano | 2013
Padmini Krishnakumar; Brett Gyarfas; Weisi Song; Suman Sen; Peiming Zhang; Predrag S. Krstic; Stuart Lindsay
Nanopores were fabricated with an integrated microscale Pd electrode coated with either a hydrogen-bonding or hydrophobic monolayer. Bare pores, or those coated with octanethiol, translocated single-stranded DNA with times of a few microseconds per base. Pores functionalized with 4(5)-(2-mercaptoethyl)-1H-imidazole-2-carboxamide slowed average translocation times, calculated as the duration of the event divided by the number of bases translocated, to about 100 μs per base at biases in the range of 50 to 80 mV.
Journal of the American Chemical Society | 2011
Shuai Chang; Jin He; Peiming Zhang; Brett Gyarfas; Stuart Lindsay
The distance between electrodes in a tunnel junction cannot be determined from the external movement applied to the electrodes because of interfacial forces that distort the electrode geometry at the nanoscale. These distortions become particularly complex when molecules are present in the junction, as demonstrated here by measurements of the AC response of a molecular junction over a range of conductivities from microsiemens to picosiemens. Specific chemical interactions within the junction lead to distinct features in break-junction data, and these have been used to determine the electrode separation in a junction functionalized with 4(5)-(2-mercaptoethyl)-1H-imidazole-2-carboxamide, a reagent developed for reading DNA sequences.
Nanotechnology | 2012
Shuai Chang; Suman Sen; Peiming Zhang; Brett Gyarfas; Brian Ashcroft; Steven Lefkowitz; Hongbo Peng; Stuart Lindsay
Gold has been the metal of choice for research on molecular tunneling junctions, but it is incompatible with complementary metal-oxide-semiconductor fabrication because it forms deep level traps in silicon. Palladium electrodes do not contaminate silicon, and also give higher tunnel current signals in the molecular tunnel junctions that we have studied. The result is cleaner signals in a recognition-tunneling junction that recognizes the four natural DNA bases as well as 5-methyl cytosine, with no spurious background signals. More than 75% of all the recorded signal peaks indicate the base correctly.
Nanotechnology | 2012
Jae Hyun Park; Jin He; Brett Gyarfas; Stuart Lindsay; Predrag S. Krstic
Translocation of DNA through a narrow, single-walled carbon nanotube can be accompanied by large increases in ion current, recently observed in contrast to the ion current blockade. We use molecular dynamics simulations to show that large electro-osmotic flow can be turned into a large net current via ion-selective filtering by a DNA molecule inside the carbon nanotube.
Archive | 2013
Stuart Lindsay; Peiming Zhang; Brett Gyarfas; Suman Sen; Shuai Chang; Steven Lefkowitz; Hongbo Peng
Archive | 2014
Stuart Lindsay; Brett Gyarfas; Predrag Krstic; Padmini Krishnakumar
Archive | 2013
Brett Gyarfas; Stuart Lindsay; Pei Pang
Archive | 2013
Pei Pang; Brett Gyarfas; Stuart Lindsay