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Wen-Pin Hu
Department of Bioinformatics and Medical Engineering, Asia University, Taichung City 41354, Taiwan

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Journal article
Published: 08 March 2021 in Sustainability
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The past decade has seen the emergence of numerous new wearable devices, including many that have been widely adopted by both physicians and consumers. In this paper, we discuss the design and application of smart insoles to measure gait and plantar pressure. Herein, we investigate the potential applications of insoles with fewer sensing spots and the consequent reduction in the amount of data acquired from both feet. The main purpose is to discuss the influence of the layout of these pressure sensing points of the insole design on the center of pressure (COP) calculation. The insole used in this study has 89 pressure sensing spots, and we used data from 36, 29, 20, and 11 sensing points in simplified calculation types. Among these four simplified calculation types, Type 1 exhibited the best accuracy of the COP calculation, and Type 4 obtained the worst results. Type 2 and Type 3 exhibited inferior accuracy of the COP calculation, but they still sufficed for applications that did not require high accuracy. Aside from the factor of the number of sensing spots used in the calculation, we also demonstrated that the location of selected sensors could influence the accuracy of COP calculation in the analyses by using the different combinations of metatarsal areas and other areas (heel, central, lateral toes, and hallux). The results of this research could be a reference for making a simplified form of pressure sensing Internet-of-Health Things (IoHT) insole with a reduced product cost.

ACS Style

Li-Wei Chou; Jun-Hong Shen; Hui-Ting Lin; Yi-Tung Yang; Wen-Pin Hu. A Study on the Influence of Number/Distribution of Sensing Points of the Smart Insoles on the Center of Pressure Estimation for the Internet of Things Applications. Sustainability 2021, 13, 2934 .

AMA Style

Li-Wei Chou, Jun-Hong Shen, Hui-Ting Lin, Yi-Tung Yang, Wen-Pin Hu. A Study on the Influence of Number/Distribution of Sensing Points of the Smart Insoles on the Center of Pressure Estimation for the Internet of Things Applications. Sustainability. 2021; 13 (5):2934.

Chicago/Turabian Style

Li-Wei Chou; Jun-Hong Shen; Hui-Ting Lin; Yi-Tung Yang; Wen-Pin Hu. 2021. "A Study on the Influence of Number/Distribution of Sensing Points of the Smart Insoles on the Center of Pressure Estimation for the Internet of Things Applications." Sustainability 13, no. 5: 2934.

Journal article
Published: 03 December 2020 in Scientific Reports
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In clinical applications of miRNAs, the purity and quality of the testing samples are very critical, especially the obtained tissue sample volume is limited. If the extracted miRNAs are contaminated or different in quality before analysis, it will increase the variance of the analysis result and make the medical information judgment incorrect and cannot be portable. Herein, we improved the commercially extraction kit by realizing the fundamental mechanism and hoped to serve finding optimal procedures for increasing the recovery of miRNAs extracted from cultured cells. In the adsorption process, the factors, like increasing the ethanol concentration or adding Ca2+, could influence the RNA adsorption were investigated. For the elution process, the effect caused by raising the elution temperature and raising the pH value of elution buffer was studied. Finally, the conditions for miRNA extraction are optimal modified by using a 65% (v/v) solution of ethanol in the adsorption process, and using TE buffer with the pH value of 8.0 and raising the temperature to 55 °C in the elution. According to the quantified results, the improved extraction kit can promote the recovery of endogenous miR-21 by about 6 times by using the optimal extraction conditions comparing with the miRNeasy Mini Kit.

ACS Style

Wen-Pin Hu; Yu-Chi Chen; Wen-Yih Chen. Improve sample preparation process for miRNA isolation from the culture cells by using silica fiber membrane. Scientific Reports 2020, 10, 1 -9.

AMA Style

Wen-Pin Hu, Yu-Chi Chen, Wen-Yih Chen. Improve sample preparation process for miRNA isolation from the culture cells by using silica fiber membrane. Scientific Reports. 2020; 10 (1):1-9.

Chicago/Turabian Style

Wen-Pin Hu; Yu-Chi Chen; Wen-Yih Chen. 2020. "Improve sample preparation process for miRNA isolation from the culture cells by using silica fiber membrane." Scientific Reports 10, no. 1: 1-9.

Conference paper
Published: 26 February 2020 in Lecture Notes in Electrical Engineering
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Uncharged DNA analogues are frequently used to be synthesized as oligomers or combined with nucleic acids to synthesize chimeric oligomers. Owing to their special structures and the uncharged property, the oligomers with DNA analogues are useful in many applications, like fluorescence in situ hybridization (FISH), biosensors, gene chips, etc. In this study, we try to investigate the effect of an uncharged phosphate-methylated nucleotide embedded on the aptamer sequence with high affinity to IgG1 by using the computational approach. The simulation results predict that the embedded phosphate-methylated nucleotide can cause the changes in the tertiary structure and spatial charge distribution of aptamer and further influence the binding between the aptamer and IgG1. From this study, we obtain an aptamer modified with the phosphate-methylated nucleotide, named as Apt8#n10, can have an improved binding affinity to IgG1. According to these consequences, the embedded phosphate-methylated nucleotide can play a role in the aptamer sequence for tuning the binding affinity of the aptamer to its target molecule.

ACS Style

Wen-Pin Hu; Hui-Ting Lin; Wen-Yih Chen; Jeffrey J. P. Tsai. A Study on the Effect of an Aptamer with an Embedded Phosphate-Methylated Nucleotide on the Binding of a Target Molecule Using Molecular Simulation. Lecture Notes in Electrical Engineering 2020, 31 -38.

AMA Style

Wen-Pin Hu, Hui-Ting Lin, Wen-Yih Chen, Jeffrey J. P. Tsai. A Study on the Effect of an Aptamer with an Embedded Phosphate-Methylated Nucleotide on the Binding of a Target Molecule Using Molecular Simulation. Lecture Notes in Electrical Engineering. 2020; ():31-38.

Chicago/Turabian Style

Wen-Pin Hu; Hui-Ting Lin; Wen-Yih Chen; Jeffrey J. P. Tsai. 2020. "A Study on the Effect of an Aptamer with an Embedded Phosphate-Methylated Nucleotide on the Binding of a Target Molecule Using Molecular Simulation." Lecture Notes in Electrical Engineering , no. : 31-38.

Research article
Published: 06 September 2019 in ACS Omega
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Silicon nanowire field-effect transistors (SiNW-FETs) have been demonstrated as a highly sensitive platform for label-free detection of a variety of biological and chemical entities. However, detecting signal from immunoassays by nano-FETs is severely hindered by the distribution of different charged groups of targeted entities, their binding orientation, and distances to the surface of the FET. Aptamers have been widely applied as a recognition element for plentiful biosensors because of small molecular sizes and moderate to high specific binding affinity with different types of molecules. In this study, we propose an effective approach to enhance the electrical responses of both direct (6×-histidine) and sandwich (amyloid β 1–42) immunoassays in SiNW-FETs with R18, a highly negative charged RNA aptamer against rabbit immunoglobulin G (IgG). Empirical results presented that the immunosensors targeted with R18 expressed a significantly stabilized and amplified signal compared to the ones without this aptamer. The research outcome provides applicability of the highly negative charged aptamer as a bioamplifier for immunoassays by FETs.

ACS Style

Cao-An Vu; Wen-Pin Hu; Yuh-Shyong Yang; Hardy Wai-Hong Chan; Wen-Yih Chen. Signal Enhancement of Silicon Nanowire Field-Effect Transistor Immunosensors by RNA Aptamer. ACS Omega 2019, 4, 14765 -14771.

AMA Style

Cao-An Vu, Wen-Pin Hu, Yuh-Shyong Yang, Hardy Wai-Hong Chan, Wen-Yih Chen. Signal Enhancement of Silicon Nanowire Field-Effect Transistor Immunosensors by RNA Aptamer. ACS Omega. 2019; 4 (12):14765-14771.

Chicago/Turabian Style

Cao-An Vu; Wen-Pin Hu; Yuh-Shyong Yang; Hardy Wai-Hong Chan; Wen-Yih Chen. 2019. "Signal Enhancement of Silicon Nanowire Field-Effect Transistor Immunosensors by RNA Aptamer." ACS Omega 4, no. 12: 14765-14771.

Journal article
Published: 30 July 2019 in Scientific Reports
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Silicon nanowire (SiNW) field-effect transistors (FETs) is a powerful tool in genetic molecule analysis because of their high sensitivity, short detection time, and label-free detection. In nucleic acid detection, GC-rich nucleic acid sequences form self- and cross-dimers and stem-loop structures, which can easily obtain data containing signals from nonspecific DNA binding. The features of GC-rich nucleic acid sequences cause inaccuracies in nucleic acid detection and hinder the development of precision medicine. To improve the inaccurate detection results, we used phosphate-methylated (neutral) nucleotides to synthesize the neutralized chimeric DNA oligomer probe. The probe fragment originated from a primer for the detection of hepatitis C virus (HCV) genotype 3b, and single-mismatched and perfect-matched targets were designed for single nucleotide polymorphisms (SNP) detection on the SiNW FET device. Experimental results revealed that the HCV-3b chimeric neutralized DNA (nDNA) probe exhibited better performance for SNP discrimination in 10 mM bis-tris propane buffer at 25 °C than a regular DNA probe. The SNP discrimination of the nDNA probe could be further improved at 40 °C on the FET device. Consequently, the neutralized chimeric DNA probe could successfully distinguish SNP in the detection of GC-rich target sequences under optimal operating conditions on the SiNW FET device.

ACS Style

Wei-Cheng Chou; Wen-Pin Hu; Yuh-Shyong Yang; Hardy Wai-Hong Chan; Wen-Yih Chen. Neutralized chimeric DNA probe for the improvement of GC-rich RNA detection specificity on the nanowire field-effect transistor. Scientific Reports 2019, 9, 1 -10.

AMA Style

Wei-Cheng Chou, Wen-Pin Hu, Yuh-Shyong Yang, Hardy Wai-Hong Chan, Wen-Yih Chen. Neutralized chimeric DNA probe for the improvement of GC-rich RNA detection specificity on the nanowire field-effect transistor. Scientific Reports. 2019; 9 (1):1-10.

Chicago/Turabian Style

Wei-Cheng Chou; Wen-Pin Hu; Yuh-Shyong Yang; Hardy Wai-Hong Chan; Wen-Yih Chen. 2019. "Neutralized chimeric DNA probe for the improvement of GC-rich RNA detection specificity on the nanowire field-effect transistor." Scientific Reports 9, no. 1: 1-10.

Review
Published: 04 June 2019 in Journal of Clinical Medicine
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To assess the effects of virtual reality on patients with musculoskeletal disorders by means of a scoping review of randomized controlled trials (RCTs). The databases included PubMed, IEEE, and the MEDLINE database. Articles involving RCTs with higher than five points on the Physiotherapy Evidence Database (PEDro) scale were reviewed for suitability and inclusion. The methodological quality of the included RCT was evaluated using the PEDro scale. The three reviewers extracted relevant information from the included studies. Fourteen RCT articles were included. When compared with simple usual care or other forms of treatment, there was significant pain relief, increased functional capacity, reduced symptoms of the disorder, and increased joint angles for the virtual reality treatment of chronic musculoskeletal disorders. Furthermore, burn patients with acute pain were able to experience a significant therapeutic effect on pain relief. However, virtual reality treatment of patients with non-chronic pain such as total knee replacement, ankle sprains, as well as those who went through very short virtual reality treatments, did not show a significant difference in parameters, as compared with simple usual care and other forms of treatment. Current evidence supports VR treatment as having a significant effect on pain relief, increased joint mobility, or motor function of patients with chronic musculoskeletal disorders. VR seems quite effective in relieving the pain of patients with acute burns as well.

ACS Style

Hui-Ting Lin; Yen-I Li; Wen-Pin Hu; Chun-Cheng Huang; Yi-Chun Du. A Scoping Review of The Efficacy of Virtual Reality and Exergaming on Patients of Musculoskeletal System Disorder. Journal of Clinical Medicine 2019, 8, 791 .

AMA Style

Hui-Ting Lin, Yen-I Li, Wen-Pin Hu, Chun-Cheng Huang, Yi-Chun Du. A Scoping Review of The Efficacy of Virtual Reality and Exergaming on Patients of Musculoskeletal System Disorder. Journal of Clinical Medicine. 2019; 8 (6):791.

Chicago/Turabian Style

Hui-Ting Lin; Yen-I Li; Wen-Pin Hu; Chun-Cheng Huang; Yi-Chun Du. 2019. "A Scoping Review of The Efficacy of Virtual Reality and Exergaming on Patients of Musculoskeletal System Disorder." Journal of Clinical Medicine 8, no. 6: 791.

Conference paper
Published: 19 May 2019 in Lecture Notes in Electrical Engineering
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Aptamers can bind with various kinds of target molecules and therefore they have highly potential for using in the therapeutic, diagnostic, biosensing, purification applications, etc. The aptamer that could specifically bind to the Fc region of antibody is very attractive to the applications of biosensors or diagnostics. Herein, a RNA aptamer specific to the Fc region of human IgG was adopted to convert to a DNA sequence as the template for producing mutated sequences for selection. Computational approaches were applied in the selection processes and then the evaluation results were verified by the ELISA assay. Finally, four new DNA aptamers were discovered and confirmed their binding ability to the Fc region of human IgG. According to experimental results, these DNA aptamers could not generate the binding amounts of antibodies as much as the original RNA sequence. However, these DNA aptamers still have potential to be used for the immobilization of human IgG in the applications of diagnostics or biosensors.

ACS Style

Wen-Pin Hu; Hui-Ting Lin; Wen-Yu Su; Rouh-Mei Hu; Wei Yang; Wen-Yih Chen; Jeffrey J. P. Tsai. The Selection of DNA Aptamers Against the Fc Region of Human IgG. Lecture Notes in Electrical Engineering 2019, 11 -19.

AMA Style

Wen-Pin Hu, Hui-Ting Lin, Wen-Yu Su, Rouh-Mei Hu, Wei Yang, Wen-Yih Chen, Jeffrey J. P. Tsai. The Selection of DNA Aptamers Against the Fc Region of Human IgG. Lecture Notes in Electrical Engineering. 2019; ():11-19.

Chicago/Turabian Style

Wen-Pin Hu; Hui-Ting Lin; Wen-Yu Su; Rouh-Mei Hu; Wei Yang; Wen-Yih Chen; Jeffrey J. P. Tsai. 2019. "The Selection of DNA Aptamers Against the Fc Region of Human IgG." Lecture Notes in Electrical Engineering , no. : 11-19.

Conference paper
Published: 19 April 2018 in Lecture Notes in Electrical Engineering
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Prostate-specific antigen (PSA) test is a commonly used clinical examination to evaluate the risk of prostate cancer, with the antibodies used normally as the recognition molecules for measuring PSA levels in serum. Alternatively, aptamers that are able to bind target molecules with high affinity and specificity similar to antibodies could be generated much easier and cheaper than the production of antibodies. In this study, we used computaional and experimental approaches to select truncated PSA-binding aptamers generated from the sequence information of PSA-binding aptamers previously reported in a literature. Genetic algorithm, the analysis of secondary structure, and molecular simulation were utilized in the in silico analysis. The top 4 ranked sequecnes in silico analysis were evaluated through their PSA-binding ability on the quartz crystal microbalance (QCM) biosensor. Finally, We identified a truncated aptamer obtained from the selection showing a nearly 3.5-fold higher measured signal than the response produced by the best known DNA sequence in the QCM measurement.

ACS Style

Hui-Ting Lin; Wei Yang; Wen-Yu Su; Chun-Ju Chan; Wen-Yih Chen; Jeffrey J. P. Tsai; Wen-Pin Hu. A Study on the Binding Ability of Truncated Aptamers for the Prostate Specific Antigen Using Both Computational and Experimental Approaches. Lecture Notes in Electrical Engineering 2018, 46 -55.

AMA Style

Hui-Ting Lin, Wei Yang, Wen-Yu Su, Chun-Ju Chan, Wen-Yih Chen, Jeffrey J. P. Tsai, Wen-Pin Hu. A Study on the Binding Ability of Truncated Aptamers for the Prostate Specific Antigen Using Both Computational and Experimental Approaches. Lecture Notes in Electrical Engineering. 2018; ():46-55.

Chicago/Turabian Style

Hui-Ting Lin; Wei Yang; Wen-Yu Su; Chun-Ju Chan; Wen-Yih Chen; Jeffrey J. P. Tsai; Wen-Pin Hu. 2018. "A Study on the Binding Ability of Truncated Aptamers for the Prostate Specific Antigen Using Both Computational and Experimental Approaches." Lecture Notes in Electrical Engineering , no. : 46-55.

Book chapter
Published: 07 June 2017 in Computational Methods with Applications in Bioinformatics Analysis
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The following sections are included: Introduction The forces between proteins and nucleic acids Simulations on the interactions between proteins and nucleic acids References

ACS Style

Wen-Pin Hu; Hui-Ting Lin; Jeffrey J. P. Tsai; Wen-Yih Chen; Ka-Lok Ng. Investigating interactions between proteins and nucleic acids by computational approaches. Computational Methods with Applications in Bioinformatics Analysis 2017, 98 -117.

AMA Style

Wen-Pin Hu, Hui-Ting Lin, Jeffrey J. P. Tsai, Wen-Yih Chen, Ka-Lok Ng. Investigating interactions between proteins and nucleic acids by computational approaches. Computational Methods with Applications in Bioinformatics Analysis. 2017; ():98-117.

Chicago/Turabian Style

Wen-Pin Hu; Hui-Ting Lin; Jeffrey J. P. Tsai; Wen-Yih Chen; Ka-Lok Ng. 2017. "Investigating interactions between proteins and nucleic acids by computational approaches." Computational Methods with Applications in Bioinformatics Analysis , no. : 98-117.

Research article
Published: 28 March 2017 in BioMed Research International
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Herein, we report a method of combining bioinformatics and biosensing technologies to select aptamers against prostate specific antigen (PSA). The main objective of this study is to select DNA aptamers with higher binding affinity for PSA by using the proposed method. Based on the five known sequences of PSA-binding aptamers, we adopted the functions of reproduction and crossover in the genetic algorithm to produce next-generation sequences for the computational and experimental analysis. RNAfold web server was utilized to analyze the secondary structures, and the 3-dimensional molecular models of aptamer sequences were generated by using RNAComposer web server. ZRANK scoring function was used to rerank the docking predictions from ZDOCK. The biosensors, the quartz crystal microbalance (QCM) and a surface plasmon resonance (SPR) instrument, were used to verify the binding ability of selected aptamer for PSA. By carrying out the simulations and experiments after two generations, we obtain one aptamer that can have the highest binding affinity with PSA, which generates almost 2-fold and 3-fold greater measured signals than the responses produced by the best known DNA sequence in the QCM and SPR experiments, respectively.

ACS Style

Pi-Chou Hsieh; Hui-Ting Lin; Wen-Yih Chen; Jeffrey J. P. Tsai; Wen-Pin Hu. The Combination of Computational and Biosensing Technologies for Selecting Aptamer against Prostate Specific Antigen. BioMed Research International 2017, 2017, 1 -11.

AMA Style

Pi-Chou Hsieh, Hui-Ting Lin, Wen-Yih Chen, Jeffrey J. P. Tsai, Wen-Pin Hu. The Combination of Computational and Biosensing Technologies for Selecting Aptamer against Prostate Specific Antigen. BioMed Research International. 2017; 2017 ():1-11.

Chicago/Turabian Style

Pi-Chou Hsieh; Hui-Ting Lin; Wen-Yih Chen; Jeffrey J. P. Tsai; Wen-Pin Hu. 2017. "The Combination of Computational and Biosensing Technologies for Selecting Aptamer against Prostate Specific Antigen." BioMed Research International 2017, no. : 1-11.

Research article
Published: 19 March 2015 in BioMed Research International
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Angiogenesis plays a decisive role in the growth and spread of cancer and angiopoietin-2 (Ang2) is in the spotlight of studies for its unique role in modulating angiogenesis. The aim of this study was to introduce a computational simulation approach to screen aptamers with high binding ability for Ang2. We carried out computational simulations of aptamer-protein interactions by using ZDOCK and ZRANK functions in Discovery Studio 3.5 starting from the available information of aptamers generated through the systematic evolution of ligands by exponential enrichment (SELEX) in the literature. From the best of three aptamers on the basis of ZRANK scores, 189 sequences with two-point mutations were created and simulated with Ang2. Then, we used a surface plasmon resonance (SPR) biosensor to test 3 mutant sequences of high ZRANK scores along with a high and a low affinity binding sequence as reported in the literature. We found a selected RNA aptamer has a higher binding affinity and SPR response than a reported sequence with the highest affinity. This is the first study ofin silicoselection of aptamers against Ang2 by using the ZRANK scoring function, which should help to increase the efficiency of selecting aptamers with high target-binding ability.

ACS Style

Wen-Pin Hu; Jangam Vikram Kumar; Chun-Jen Huang; Wen-Yih Chen. Computational Selection of RNA Aptamer against Angiopoietin-2 and Experimental Evaluation. BioMed Research International 2015, 2015, 1 -8.

AMA Style

Wen-Pin Hu, Jangam Vikram Kumar, Chun-Jen Huang, Wen-Yih Chen. Computational Selection of RNA Aptamer against Angiopoietin-2 and Experimental Evaluation. BioMed Research International. 2015; 2015 ():1-8.

Chicago/Turabian Style

Wen-Pin Hu; Jangam Vikram Kumar; Chun-Jen Huang; Wen-Yih Chen. 2015. "Computational Selection of RNA Aptamer against Angiopoietin-2 and Experimental Evaluation." BioMed Research International 2015, no. : 1-8.

Book chapter
Published: 14 July 2013 in Lecture Notes in Electrical Engineering
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To study and compare the simulation methods on the different scoring functions to analyze the consistency of the Docking score between the aptamers and protein. Thrombin is well characterized and has been studied with the thrombin binding aptamer (TBA) and mutated TBA sequences in a previous report, which finds three representative aptamers have best, medium, and worst binding interactions with thrombin. Discovery Studio 3.5 is a useful modeling and simulation software. The ZDOCK in this package incorporates a simple and novel scoring function: Pairwise Shape Complementarity. By using ZDOCK, we also can evaluate the differences in the binding ability between the interactions of the thrombin and aptamers. Basically, our results are consistent with the previous report. From this study, we make sure that the ZDOCK can provide reliable results and able be used as an alternative method in performing in silico selection of aptamer.

ACS Style

Jangam Vikram Kumar; Wen-Yih Chen; Jeffrey J. P. Tsai; Wen-Pin Hu. Molecular Simulation Methods for Selecting Thrombin-Binding Aptamers. Lecture Notes in Electrical Engineering 2013, 253, 743 -749.

AMA Style

Jangam Vikram Kumar, Wen-Yih Chen, Jeffrey J. P. Tsai, Wen-Pin Hu. Molecular Simulation Methods for Selecting Thrombin-Binding Aptamers. Lecture Notes in Electrical Engineering. 2013; 253 ():743-749.

Chicago/Turabian Style

Jangam Vikram Kumar; Wen-Yih Chen; Jeffrey J. P. Tsai; Wen-Pin Hu. 2013. "Molecular Simulation Methods for Selecting Thrombin-Binding Aptamers." Lecture Notes in Electrical Engineering 253, no. : 743-749.

Comparative study
Published: 15 March 2013 in Biosensors and Bioelectronics
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Intensive efforts have been focused on the development of ultrasensitive DNA biosensors capable of quantitative gene expression analysis. Various neutralized nucleic acids have been demonstrated as alternative and attractive probe for the design of a DNA chip. However, the mechanism of the improvements has not been clearly revealed. In this investigation, we used a newly developed neutral ethylated DNA (E-DNA), a DNA analog with the “RO-P-O” backbone (wherein R could be methyl, ethyl, aryl, or alkyl group) obtained from synthetic procedures, and a silicon nanowire (SiNW) field-effect transistor (FET) to evaluate the difference in DNA detection performance while using E-DNA and DNA as probes. It is demonstrated that using the E-DNA probe in the FET measurement could have a significantly enhanced effect upon the detection sensitivity. Surface plasmon resonance imaging (SPRi) was used to evidence the mechanism of the improved detection sensitivity. SPRi analysis showed the amounts of probe immobilization on the sensor surface and the hybridization efficiency were both enhanced with the use of E-DNA. Consequently, neutral ethylated DNA probe hold a great promise for DNA sensing, especially in the electrical-based sensor.

ACS Style

Wen-Yih Chen; Hon-Chen Chen; Yuh-Shyong Yang; Chun-Jen Huang; Hardy Wai-Hong Chan; Wen-Pin Hu. Improved DNA detection by utilizing electrically neutral DNA probe in field-effect transistor measurements as evidenced by surface plasmon resonance imaging. Biosensors and Bioelectronics 2013, 41, 795 -801.

AMA Style

Wen-Yih Chen, Hon-Chen Chen, Yuh-Shyong Yang, Chun-Jen Huang, Hardy Wai-Hong Chan, Wen-Pin Hu. Improved DNA detection by utilizing electrically neutral DNA probe in field-effect transistor measurements as evidenced by surface plasmon resonance imaging. Biosensors and Bioelectronics. 2013; 41 ():795-801.

Chicago/Turabian Style

Wen-Yih Chen; Hon-Chen Chen; Yuh-Shyong Yang; Chun-Jen Huang; Hardy Wai-Hong Chan; Wen-Pin Hu. 2013. "Improved DNA detection by utilizing electrically neutral DNA probe in field-effect transistor measurements as evidenced by surface plasmon resonance imaging." Biosensors and Bioelectronics 41, no. : 795-801.

Journal article
Published: 01 January 2013 in Applied Mechanics and Materials
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A stable and versatile biosensor surface is a desirable feature for any sensor, and the DNA-directed immobilization (DDI) of protein-DNA conjugates on the mixed ssDNA/ Oligo(ethylene glycol) (OEG) self-assembled monolayers (SAMs) offer an alternative choice for preparing various types of protein chips. The patterned DNA chip is suitable for long-term storage and easily converted into a protein chip in one simple step. In our previous study, the experimental results indicated that a 50:1 ratio of OEG: COOH-terminated OEG and DNA sequences with 20 mer are the best conditions or making a protein chip via a DNA-directed immobilization (DDI) method. In this study, we investigate the effect of buffer pH values on the measurement of human serum albumin (HSA) by using the protein chip prepared by DDI method. The results showed that the largest SPR response is found in the detection of HSA with the use of 10 mM MES buffer (150 mM sodium chloride, adjusted to pH 4.0). We suggest that this was a consequence from the contribution of attractive electrostatic force between HSA and the negatively charged sensor surface. The lowest detection limitation of HSA with the use of MES buffer is 0.02 mg/ml. In addition, there is a linear relationship between the SPR signals and HSA concentrations (from 0.02 mg/ml to 0.5 mg/ml). Chip regeneration experiments were also performed in our study with the results showing that the average response for HSA detection on regenerated surface was nearly 92.3% of the response produced by using fresh surface.

ACS Style

Wen Pin Hu; Li Ya Huang; Wen Yih Chen. Optimal Buffer pH Value on the Detection of HSA by Using a Protein Chip Prepared by DNA-Directed Immobilization. Applied Mechanics and Materials 2013, 284-287, 398 -402.

AMA Style

Wen Pin Hu, Li Ya Huang, Wen Yih Chen. Optimal Buffer pH Value on the Detection of HSA by Using a Protein Chip Prepared by DNA-Directed Immobilization. Applied Mechanics and Materials. 2013; 284-287 ():398-402.

Chicago/Turabian Style

Wen Pin Hu; Li Ya Huang; Wen Yih Chen. 2013. "Optimal Buffer pH Value on the Detection of HSA by Using a Protein Chip Prepared by DNA-Directed Immobilization." Applied Mechanics and Materials 284-287, no. : 398-402.

Journal article
Published: 01 April 2012 in Analytical Biochemistry
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The development of protein chips has suffered from problems regarding long-term protein stability and activity. We present a protein sensor surface for immunodetection that is prepared by a DNA-directed protein immobilization method on a mixed self-assembled monolayer (SAM). By this approach, an immobilized single-stranded DNA (ssDNA) surface can be transferred/modified into a protein chip by flowing in ssDNA-conjugated protein when the protein chip measurement is needed. Therefore, the long-term stability of the protein chip will not be a problem for various applications. We tried various compositions for the SAM layer, the length of the ssDNA spacer, the end-point nucleotide composition, and the processes of ssDNA immobilization of the SAM for an optimized condition for shifting the DNA chip to a protein chip. The evaluations were made by using surface plasmon resonance. Our results indicated that a 50:1 ratio of oligo(ethylene glycol) (OEG)/COOH-terminated OEG and DNA sequences with 20 mer are the best conditions found here for making a protein chip via a DNA-directed immobilization (DDI) method. The designed end-point nucleotide composition contains a few guanines or cytosines, and ssDNA immobilization of the SAM by dehybridizing immobilized double-stranded DNA (dsDNA) can improve the hybridization efficiency.

ACS Style

Wen-Pin Hu; Li-Ya Huang; Tai-Chih Kuo; Wei-Wen Hu; Yung Chang; Chien-Sheng Chen; Hong-Cheng Chen; Wen-Yih Chen. Optimization of DNA-directed immobilization on mixed oligo(ethylene glycol) monolayers for immunodetection. Analytical Biochemistry 2012, 423, 26 -35.

AMA Style

Wen-Pin Hu, Li-Ya Huang, Tai-Chih Kuo, Wei-Wen Hu, Yung Chang, Chien-Sheng Chen, Hong-Cheng Chen, Wen-Yih Chen. Optimization of DNA-directed immobilization on mixed oligo(ethylene glycol) monolayers for immunodetection. Analytical Biochemistry. 2012; 423 (1):26-35.

Chicago/Turabian Style

Wen-Pin Hu; Li-Ya Huang; Tai-Chih Kuo; Wei-Wen Hu; Yung Chang; Chien-Sheng Chen; Hong-Cheng Chen; Wen-Yih Chen. 2012. "Optimization of DNA-directed immobilization on mixed oligo(ethylene glycol) monolayers for immunodetection." Analytical Biochemistry 423, no. 1: 26-35.