• 한국콘텐츠학회논문지
• /
• 제10권4호
• /
• pp.19-27
• /
• 2010

최근에 고속 genome-wide RNA 간섭 스크리닝 기술은 복잡한 세포 기능을 이해하는 생명공학 연구의 핵심적인 도구로 자리 잡고 있다. 그러나 관련 연구에서 발생되는 수많은 영상을 수작업을 통해 분석하는 것은 많은 시간과 노력이 요구된다. 따라서 세포영상의 자동분석 기술은 매우 시급히 확보되어야 하는 기술이며, 그 중 영상 분할은 자동분석을 위한 첫 단계로서 가장 중요한 과정이라 할 수 있다. 세포영상의 자동분할에서는 영역의 겹침 현상과 영역별 모양의 다양성 및 영상 특성의 불균일성 등이 정확한 세포 분할을 어렵게 만드는 주원인으로 작용한다. 본 논문에서는 이러한 문제점을 극복하기 위해 영상 특징들의 국부적인 연속성과 특징 벡터 기반의 워터쉐드 알고리즘을 적용한 새로운 자동 세포 분할 알고리즘을 제안한다. 영상 특징들의 연속성을 국부적인 영역으로 제한함으로써 영역별 모양의 다양성 및 영상 특성의 불균일성에 따른 문제점을 극복할 수 있으며, 특징벡터의 사용을 통해 하나의 영상특징만을 고려한 경우 발생되는 겹침 영역에서의 분할 성능 저하를 개선할 수 있다. 세포영상 분석을 위한 소프트웨어 패키지인 Cellprofiler와의 비교/분석 실험을 통해 제안 알고리즘의 효율성을 입증하였다.

• KSBB Journal
• /
• 제22권6호
• /
• pp.393-400
• /
• 2007

현재 많은 대학과 기업에서 다양한 방법으로 상용화가 가능한 protein microarray의 개발을 위해 많은 연구를 집중하고 있다. Protein microarray의 제작 및 분석 조건을 최적화하기 위한 연구도 진행되고 있지만 protein microarray로 부터 얻은 분석 결과를 모든 연구자들이 공유하고 통합하기 위한 노력이 절실한 실정이다. 뿐만 아니라, PCR 같은 무한 확장 방법이 존재하지 않는 단백질의 특성을 고려할 때, 좀 더 실용적인 protein microarray를 많이 만들기 위해서는 수많은 단백질들과 결합할 수 있는 특이성이 높고 결합력이 강한 capture molecule들을 개발하는 것이 필수이다. 그러나 이러한 장애에도 불구하고 protein microarray는 아주 적은 시료량으로 high-throughput assay가 가능하다는 장점 때문에 현재의 생명과학의 발전 추세로 볼 때 앞으로 protein microarray가 조만간 실용화될 것이며 이의 시장성은 매우 클 것으로 기대된다. 보다 빠른 실용화를 위해서는 protein microarray의 개발에 필요한 기반 기술의 개발과 동시에 이를 활용하기 위한 contents의 개발도 절실히 요구된다.

• Molecules and Cells
• /
• 제23권2호
• /
• pp.170-174
• /
• 2007

High-throughput subcellular imaging is a powerful tool for investigating the function of genes. In order to identify novel regulators of apoptosis we transiently transfected HeLa cells with 938 hypothetical genes of unknown function, and captured their nuclear images with an automated fluorescence microscope. We selected genes that induced greater than 3-fold increase in the percentage of apoptotic nuclei compared with vector-transfected cells. The full-length genes C10orf61, MGC 26717, and FLJ13855 were identified as candidate proapoptotic genes, and their apoptotic effects were confirmed by DNA fragmentation ELISAs and Western blotting for caspase-7 and PARP. We conclude that a subcellular image-based apoptotic screen is useful for identifying genes with proapoptotic activity.

• Molecules and Cells
• /
• 제44권3호
• /
• pp.127-135
• /
• 2021

Since the introduction of RNA sequencing (RNA-seq) as a high-throughput mRNA expression analysis tool, this procedure has been increasingly implemented to identify cell-level transcriptome changes in a myriad of model systems. However, early methods processed cell samples in bulk, and therefore the unique transcriptomic patterns of individual cells would be lost due to data averaging. Nonetheless, the recent and continuous development of new single-cell RNA sequencing (scRNA-seq) toolkits has enabled researchers to compare transcriptomes at a single-cell resolution, thus facilitating the analysis of individual cellular features and a deeper understanding of cellular functions. Nonetheless, the rapid evolution of high throughput single-cell "omics" tools has created the need for effective hypothesis verification strategies. Particularly, this issue could be addressed by coupling cell engineering techniques with single-cell sequencing. This approach has been successfully employed to gain further insights into disease pathogenesis and the dynamics of differentiation trajectories. Therefore, this review will discuss the current status of cell engineering toolkits and their contributions to single-cell and genome-wide data collection and analyses.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제12권2호
• /
• pp.167-172
• /
• 2012

In biology the advent of the high-throughput technology for sequencing, probing, or screening has produced huge volume of data which could not be manually handled. Biologists have resorted to software tools in order to effectively handle them. This paper introduces a bioinformatics tool to help biologists find potentially interesting pathway maps from a transcriptome data set in which the expression levels of genes are described for both case and control samples. The tool accepts a transcriptome data set, and then selects and categorizes some of genes into four classes using a fuzzy filtering technique where classes are defined by membership functions. It collects and edits the pathway maps related to those selected genes without analyst' intervention. It invokes a sequence of web service functions from KEGG, which an online pathway database system, in order to retrieve related information, locate pathway maps, and manipulate them. It maintains all retrieved pathway maps in a local database and presents them to the analysts with graphical user interface. The tool has been successfully used in identifying target genes for further analysis in transcriptome study of human cytomegalovirous. The tool is very helpful in that it can considerably save analysts' time and efforts by collecting and presenting the pathway maps that contain some interesting genes, once a transcriptome data set is just given.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제11권1호
• /
• pp.146-170
• /
• 2017

Joint channel assignment and routing is a well-known problem in multi-radio wireless mesh networks for which optimal configurations is required to optimize the overall throughput and fairness. However, other objectives need to be considered in order to provide a high quality service to network users when it deployed with high traffic dynamic. In this paper, we propose a re-configuration optimization model that optimizes the network throughput in addition to reducing the disruption to the mesh clients' traffic due to the re-configuration process. In this multi-objective optimization model, four objective functions are proposed to be minimized namely maximum link-channel utilization, network average contention, channel re-assignment cost, and re-routing cost. The latter two objectives focus on reducing the re-configuration overhead. This is to reduce the amount of disrupted traffic due to the channel switching and path re-routing resulted from applying the new configuration. In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users' mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. The proposed algorithm re-assigns channels to radios and re-configures flows' routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. The ns-2 simulator is used as simulation tool and various metrics are evaluated. These metrics include channel-link utilization, channel re-assignment cost, re-routing cost, throughput, and delay. Simulation results show the good performance of SA-JRCA in term of packet delivery ratio, aggregated throughput and re-configuration overhead. It also shows higher stability to the traffic variation in comparison with other compared algorithms which suffer from performance degradation when high traffic dynamics is applied.

• Genomics & Informatics
• /
• 제15권3호
• /
• pp.82-86
• /
• 2017

Chromosomal microarray (CMA) is a high-resolution, high-throughput method of identifying submicroscopic genomic copy number variations (CNVs). CMA has been established as the first-line diagnostic test for individuals with developmental delay (DD), intellectual disability (ID), autism spectrum disorders (ASDs), and multiple congenital anomalies (MCAs). CMA analysis was performed in 42 Korean patients who had been diagnosed with unexplained DD, ID, ASDs, and MCAs. Clinically relevant CNVs were discovered in 28 patients. Variants of unknown significance were detected in 13 patients. The diagnostic yield was high (66.7%). CMA is a superior diagnostic tool compared with conventional karyotyping and fluorescent in situ hybridization.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2004년도 하계학술대회 논문집 C
• /
• pp.2128-2130
• /
• 2004

High throughput analysis using a DNA chip microarray is powerful tool in the post genome era. Less labor-intensive and lower cost-performance is required. Thus, this paper aims to develop the multi-channel type label-free DNA chip and detect SNP (Single nucleotide polymorphisms). At first, we fabricated a high integrated type DNA chip array by lithography technology. Various probe DNAs were immobilized on the microelectrode array. We succeeded to discriminate of DNA hybridization between target DNA and mismatched DNA on microarray after immobilization of a various probe DNA and hybridization of label-free target DNA on the electrodes simultaneously. This method is based on redox of an electrochemical ligand.

• 한국전기전자재료학회논문지
• /
• 제17권4호
• /
• pp.410-414
• /
• 2004

High throughput analysis using a DNA chip microarray is powerful tool in the post genome era. Less labor-intensive and lower cost-performance is required. Thus, this paper aims to develop the multi-channel type label-free DNA chip and detect SNP (Single nucleotide polymorphisms). At first, we fabricated a high integrated type DNA chip array by lithography technology. Various probe DNAs were immobilized on the microelectrode array. We succeeded to discriminate of DNA hybridization between target DNA and mismatched DNA on microarray after immobilization of a various probe DNA and hybridization of label-free target DNA on the electrodes simultaneously. This method is based on redox of an electrochemical ligand.

• 한국전기전자재료학회:학술대회논문집
• /
• 한국전기전자재료학회 2006년도 하계학술대회 논문집 Vol.7
• /
• pp.410-411
• /
• 2006

High throughput analysis using a DNA chip microarray is powerful tool in the post genome era. Less labor-intensive and lower cost-performance is required. Thus, this paper aims to develop the multi-channel type label-free DNA chip and detect SNP (Single nucleotide polymorphisms). At first, we fabricated a high integrated type DNA chip array by lithography technology. Various probe DNAs were immobilized on the microelectrode array. We succeeded to discriminate of DNA hybridization between target DNA and mismatched DNA on microarray after immobilization of a various probe DNA and hybridization of label-free target DNA on. the electrodes simultaneously. This method is based on redox of an electrochemical ligand.