A parylene-based dual channel micro-electrophoresis system for rapid mutation detection via heteroduplex analysis

A new dual channel micro-electrophoresis system for rapid mutation detection based on heteroduplex analysis was designed and implemented. Mutation detection was successfully achieved in a total separation length of 250 pm in less than 3 min for a 590 by DNA sample harboring a 3 bp mutation causing an amino acid change. Parylene-C was used as the structural material for fabricating the micro-channels as it provides conformal deposition, transparency, biocompatibility, and low background fluorescence without any surface treatment. A new dual channel architecture was derived from the traditional cross-channel layout by forming two identical channels with independent sample loading and waste reservoirs. The control of injected sample volume was accomplished by a new u-turn injection technique with pull-back method. The use of heteroduplex analysis as a mutation detection method on a cross-linked polyacrylamide medium provided accurate mutation detection in an extremely short length and time. The presence of two channels on the microchip offers the opportunity of comparing the sample to be tested with a desired control sample rapidly, which is very critical for the accuracy and reliability of the mutation analyses, especially for clinical and research purposes.


Robust background normalization method for one-channel microarrays
AKAL, TÜLAY; Purutçuoğlu Gazi, Vilda; Weber, Gerhard-Wilhelm (Walter de Gruyter GmbH, 2017-04-01)
Background: Microarray technology, aims to measure the amount of changes in transcripted messages for each gene by RNA via quantifying the colour intensity on the arrays. But due to the different experimental conditions, these measurements can include both systematic and random erroneous signals. For this reason, we present a novel gene expression index, called multi-RGX (Multiple-probe Robust Gene Expression Index) for one-channel microarrays.
An Implantable Multichannel Digital Neural Recording System for a Micromachined Sieve Electrode
Akın, Tayfun; Bradley, R.M. (1995-06-29)
This paper reports the development of an implantable, fully integrated, single-chip, multichannel neural recording system, which is powered and communicated with using an RF telemetry link. The system allows recording of /spl plusmn/500/spl mu/V neural signals from axons regenerated through a micromachined silicon sieve electrode. These signals are amplified using on-chip 100Hz to 3.IkHz bandlimited amplifiers, multiplexed, and digitized with a low-power, high speed current-mode 8-bit ADC, and then transmit...
Advanced Models for Predicting Aggregate Rutting Behavior
Ceylan, Halil; Güçlü, Alper; Tutumluer, Erol; Pekcan, Onur (null; 2005-06-29)
Artificial neural network (ANN) based advanced aggregate rutting models have been developed and compared for performance using laboratory test data. The primary goal has been to properly characterize the loading stress path dependent permanent deformation behavior from advanced repeated load triaxial tests that can simulate in the laboratory the varying stress states under actual moving wheel load conditions. The aggregate specimens tested were the Federal Aviation Administration (FAA) specified P209 base a...
A parylene based double-channel micro-electrophoresis system for rapid mutation detection
Külah, Haluk; Erson Bensan, Ayşe Elif; Sert, Cüneyt (null; 2007-10-08)
This paper presents the design and implementation of a double-channel micro-electrophoresis system for rapid mutation detection using heteroduplex analysis (HDA) method. The reported system implements two identical parylene channels located side-by-side, and allows HDA to be performed within a short separation length and time.
A digital neuron realization for the random neural network model
CERKEZ, CUNEYT; AYBAY, HADİ IŞIK; Halıcı, Uğur (1997-06-12)
In this study the neuron of the random neural network (RNN) model (Gelenbe 1989) is designed using digital circuitry. In the RNN model, each neuron accumulates arriving pulses and can fire if its potential at a given instant of time is strictly positive. Firing occurs at random, the intervals between successive firing instants following an exponential distribution of constant rate. When a neuron fires, it routes the generated pulses to the appropriate output lines in accordance with the connection probabili...
Citation Formats
S. SUKAS, A. E. Erson Bensan, C. Sert, and H. Külah, “A parylene-based dual channel micro-electrophoresis system for rapid mutation detection via heteroduplex analysis,” ELECTROPHORESIS, pp. 3752–3758, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/45873.