• The Korean Journal of Blood Transfusion
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• v.23 no.2
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• pp.107-114
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• 2012

Background: Leukocyte reduction filters are widely used to prevent transfusion reactions caused by leukocytes in blood components. Commercial filters are not sufficient for removal of leukocytes for prevention of transfusion associated graft-versus-host disease; therefore, irradiation of blood components was performed using expensive equipment. Techniques using an aptamer substituted for antibody have been developed and are available in clinical areas. The purpose of this study is to develop the aptamer filter system and to evaluate its efficiency and the possibility of its clinical application. Methods: Aptamers targeted to CD45 were selected by the Postech Aptamer Initiative. The aptamer filter in which aptamers attached to beads were bound to leukocytes and removed by magnetic field was developed. Filtration of 14 units of leukoreduction-red blood provided by Korean Red Cross Blood Services was performed using aptamer filters. Leukocyte removal rate and red cell recovery rate were evaluated and bacterial culture was performed. Results: After filtration using the aptamer filters, 45.6% of leukocytes were additionally removed and the red cell recovery rate was 92.8%. No growth in the bacterial culture was observed. Conclusion: In order to apply the cell depletion technique utilizing an aptamer to blood filter system, we developed and evaluated the aptamer filter system. Through improvement of the binding efficiency of the aptamer and the filtering process, and application of the various aptamers for other different cells, we suggest that this technique can be applied in the clinical area, such as a substitution for the irradiation process for TAGVHD prevention.

• Journal of the Korean Electrochemical Society
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• v.19 no.4
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• pp.134-140
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• 2016

An aptamer-based biosensor using a new redox indicator has been examined for the electrochemical detection of thrombin. The aptamer modified primary aliphatic amine was covalently immobilized onto poly-(5,2':5',2"-terthiophene-3'-carboxylic acid) (polyTTCA) layer. Tetrabromophenolphthalein ethyl ester (KTBPE) was interacted to aptamer and used as an electrochemical indicator. Prior to the detection, the oxidation reaction of KTBPE onto aptamer modified layer was also investigated using differential pulse voltammetry. The characterization of the final sensor (KTBPE/aptamer -polyTTCA) was performed by voltammetry, QCM, and ESCA. After binding of thrombin onto KTBPE/aptamer based sensor, the peak signal of KTBPE was gradually decreased. The sensor exhibited a dynamic range between 10.0 and 100.0 nM with the detection limit of $1.0{\pm}0.2nM$.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.6
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• pp.965-971
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• 2011

As the liver cancer in our country cancerous occurrence frequency to be the gastric cancer in the common cancer, If the case which will be discovered in early rising the treatment record was considered seriously about under the early detection. The system which it sees with the system for the early detection of the liver cancer reacts the blood of the control group other than the patient who is confirmed as the liver cancer and the liver cancer to the biochip and aptamer protein biochip profiles mechanical studying leads and it is a system which it classifies. 1149 each other it reacted blood samples of the control group other than the liver cancer patient who is composed of the total 85 samples and the liver cancer which is composed of 310 samples to the biochip which is composed with different oligo from the present paper and it was a data which it makes acquire worker the neural network it led and it analyzes the classification efficiency of the result 95.38 ~ 97.95% which it was visible.

• Safe Food
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• v.2 no.4
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• pp.5-10
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• 2007

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.85-87
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• 2006

압타머칩은 (주)제노프라에서 개발한 새로운 개념의 바이오칩으로서, 압타머(aptamer)를 이용하여 혈액중의 특정 단백질군의 상대적인 양의 변화를 측정할 수 있으며, 질병 진단에 바로 응용할 수 있는 도구이다. 본 논문에서는 압타머칩 데이터 분석을 통해 심혈관 질환 환자의 질병 진행 단계를 예측할 수 있음을 보인다. 정상, 안정/불안정성 협심증, 심근경색의 네 단계로 표지된 환자의 혈액 샘플로부터 제작한 (주)제노프라의 3K 압타머칩 데이터를, 일반 DNA 마이크로어레이 분석과 동일한 과정을 거쳐 분류한 결과, 각 단계별 환자샘플이 확연히 구분되는 것을 확인하였다. 분산분석 결과 P-Value를 이용하여 자질 선택을 수행하고, 분류 알고리즘으로는 신경망, 결정트리, SVM, 베이지안망을 적용한 결과. 각 알고리즘별로 50대 남성환자 31개의 샘플에 대하여 $77{\sim}100%$의 정확도로 심혈관 질환의 단계를 구분해내었다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.22-27
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• 2006

압타머칩은 혈청(serum) 내의 지정된 단백질의 상대적 양을 직접 측정할 수 있는 바이오칩으로서, 의학적 질병 진단에 유용하게 사용할 수 있는 툴이다. 압타머칩 데이터 분석에는 기존의 마이크로어레이 분석기법을 그대로 적용할 수 있다. 본 논문에서는 Potential SVM(PSVM)을 이용하여, 심혈관질환 샘플 기반의 압타머칩 데이터에서 바이오마커 후보 단백질을 선정한 결과를 정리한다. PSVM은 분류 알고리즘으로서 뿐만 아니라 자질 선택(feature selection)에서도 우수한 성능을 보이는 알고리즘으로 알려져 있다. 심혈관 질환의 단계에 따라 구분한 4개 클래스, 135개 샘플로 구성된 3K 압타머칩 데이터에 대해 PSVM을 적용하여 자질을 선택하고 분류성능을 측정한 결과, 마이크로어레이에서의 자질 선택에 많이 사용되는 Gain Ratio 기법과 비교하여 보다 적은 수의 단백질 정보로 보다 나은 분류 성능을 보임을 확인하였다. 더불어, PSVM을 이용해 선택한 단백질군을 심혈관 질환 진단을 위한 바이오마커 후보로 제시한다.

• Journal of the Korean Chemical Society
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• v.50 no.3
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• pp.269-271
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• 2006

• Applied Chemistry for Engineering
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• v.33 no.2
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• pp.173-178
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• 2022

A lateral flow immunoassay (LFIA) method using carbon nanodot@silica as a signaling material was developed for analyzing the concentration of retinol-binding protein 4 (RBP4), one of the lung cancer biomarkers. Instead of antibodies mainly used as bioreceptors in nitrocellulose membranes in LFIA for protein detection, aptamers that are more economical, easy to store for a long time, and have strong affinities toward specific target proteins were used. A 5' terminal of biotin-modified aptamer specific to RBP4 was first reacted with neutravidin followed by spraying the mixture on the membrane in order to immobilize the aptamer in a porous membrane by the strong binding affinity between biotin and neutravidin. Carbon nanodot@silica nanoparticles with blue fluorescent signal covalently conjugated to the RBP4 antibody, and RBP4 were injected in a lateral flow manner on to the surface bound aptamer to form a sandwich complex. Surfactant concentrations, ionic strength, and additional blocking reagents were added to the running buffer solution to optimize the fluorescent signal off from the sandwich complex which was correlated to the concentration of RBP4. A 10 mM Tris (pH 7.4) running buffer containing 150 mM NaCl and 0.05% Tween-20 with 0.6 M ethanolamine as a blocking agent showed the optimum assay condition for carbon nanodot@silica-based LFIA. The results indicate that an aptamer, more economical and easier to store for a long time can be used as an alternative immobilizing probe for antibody in a LFIA device which can be used as a point-of-care diagnosis kit for lung cancer diseases.

• Journal of IKEEE
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• v.22 no.4
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• pp.1093-1098
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• 2018

In this paper, we proposed a methodology for portable disease diagnosis platform using high performance computing. The proposed methodology consists of gathering clinical data, diagnosis and feature selection algorithm, implementation of diagnosis platform. For the algorithm verification, a clinical data which is obtained from 401 people(314 normal subjects and 87 liver cancer patients) using a microarray consists of 1,146 aptamers were used. As the result, we could diagnosis liver cancer with 97.5% accuracy using the 32 selected aptamers. Based on these results, we designed and implemented a portable disease diagnosis platform which has 32 bio-signals as inputs.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.28-32
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• 2006

최근 연구결과에 의하면 심장질환을 포함한 심혈관질환은 성별에 관계없이 미국 및 전 세계적으로 질병사망의 주요 원인으로 조사되었다. 본 연구에서는 보다 효율적으로 진단하기 위해 진단의사 결정 보조시스템에 대해서 다룬다. 개발된 시스템은 혈청 내의 특정 단백질의 상대적 양을 측정할 수 있는 바이오칩인 압타머칩을 이용해 생성한 환자들의 칩 데이터를 Support Vector Machine, Neural Network, Decision Tree, Bayesian Network 등의 총 4가지 기계학습 알고리즘으로 분석하여 질환단계를 예측하고 진단을 위한 보조정보를 제공한다. 논문에서는 총 135개 샘플로 구성된 3K 압타머칩 데이터에 대해 측정된 초기 시스템의 질환단계 분류성능을 제시하고 보다 유용한 진단의사결정 보조 시스템을 구성하기 위한 요소들에 대해서 논의한다.