• Psychiatry investigation
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• 제15권11호
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• pp.1011-1018
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• 2018

The analysis of extracellular vesicles has been accelerated because of the technological advancements in omics methods in recent decades. Extracellular vesicles provide multifaceted information regarding the functional status of the cells. This information would be critical in case of central nervous system cells, which are confined in a relatively sealed biological compartment. This obstacle is more dramatic in psychiatric disorders since their diagnosis primarily depend on the symptoms and signs of the patients. In this paper, we reviewed this rapidly advancing field by discussing definition of extracellular vesicles, their biogenesis and potential use as clinical biomarkers. Then we focused on their potential use in psychiatric disorders in the context of diagnosis and treatment of these disorders. Finally, we tried to combine the RDoC (Research Domain Criteria) with the use of extracellular vesicles in psychiatry research and practice. This review may offer new insights in both basic and translational research focusing on psychiatric disorders.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.242-242
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• 2022

As the aging population increases and interest in well-being increases, the importance of developing special crops increases. Natural medicine based on the special crops has been mainly used as an adjunct therapy for many diseases and symptoms based on culture, traditional medicine, and experience. In particular, it is attracting attention as a new resource to develop new drugs such as Artemisinin, a treatment for malaria. In order to efficiently use crops, it is essential to establish omics data such as genomes, transcriptomes, and metabolites of special-purpose crops. However, many special-purpose crops have large, heterogeneous and polyploid genomes that require high cost and long time to reference genome sequencing. Therefore, we built an inexpensive, fast, but very usefill reference transcriptome as the first step. We constructed high-quality reference transcriptom sets of Codonopsis lanceolata and Ixeridium dentatum with PacBio data. Our team will continue to construct reference transcriptoms of more special-purpose crops, and the data will be released by the National Agricultural Biotechnology Information Center (NABIC) in order to be widely used in agricultural as well as medical R&D.

• Animal Bioscience
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• 제37권2_spc호
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• pp.346-359
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• 2024

Advanced and innovative breeding and management of meat-producing animals are needed to address the global food security and sustainability challenges. Beef production is an important industry for securing animal protein resources in the world and meat quality significantly contributes to the economic values and human needs. Improvement of cattle feed efficiency has become an urgent task as it can lower the environmental burden of methane gas emissions and the reduce the consumption of human edible cereal grains. Cattle depend on their symbiotic microbiome and its activity in the rumen and gut to maintain growth and health. Recent developments in high-throughput omics analysis (metagenome, metatranscriptome, metabolome, metaproteome and so on) have made it possible to comprehensively analyze microbiome, hosts and their interactions and to define their roles in affecting cattle biology. In this review, we focus on the relationships among gut microbiome and beef meat quality, feed efficiency, methane emission as well as host genetics in beef cattle, aiming to determine the current knowledge gaps for the development of the strategies to improve the sustainability of beef production.

• Journal of applied mathematics & informatics
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• 제42권3호
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• pp.709-723
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• 2024

We study the distributions of waiting times in variations of the geometric distribution of order k. Variation imposes length on the runs of successes and failures. We study two types of waiting time random variables. First, we consider the waiting time for a run of k consecutive successes the first time no sequence of consecutive k failures occurs prior, denoted by T^(k). Next, we consider the waiting time for a run of k consecutive failures the first time no sequence of k consecutive successes occurred prior, denoted by J^(k). In addition, we study the distribution of the weighted average. The exact formulae of the probability mass function, mean, and variance of distributions are also obtained.

• Kyungpook Mathematical Journal
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• 제64권2호
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• pp.287-301
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• 2024

From the mathematical and statistical point of view, a segment of a DNA strand can be viewed as a sequence of four-state (A, C, G, T) trials. Herein, we consider the distributions of runs and patterns related to the run lengths of multi-state sequences, especially for four states (A, B, C, D). Let X₁, X₂, . . . be a sequence of four state independent and identically distributed trials taking values in the set 𝒢 = {A, B, C, D}. In this study, we obtain exact formulas for the probability distribution function for the discrete distribution of runs of B's of order k. We obtain longest run statistics, shortest run statistics, and determine the distributions of waiting times and run lengths.

• Journal of Dairy Science and Biotechnology
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• 제33권2호
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• pp.119-127
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• 2015

낙농 미생물학에서 사용하는 주요 분석 방법들에 대한 지속적인 개정이 요구되어지고 있는 것이 사실이다. 현재 이용 가능한 자료들을 바탕으로 균주의 생리 및 대사 특성을 더 깊이 이해할 수 있으며, LAB와 probiotic 생리적 상태를 측정할 수 있는 기술을 개발할 수 있다. 예를 들어, 고유 균주의 생화학 반응으로부터 얻은 생물학적 생리학적 지식을 바탕으로 발색형광배지(chromogenic media)의 개발이 가능하다. 이 기술은 오랫동안 사용되어온 한천 배지보다 사용법이 간단하며, 미생물을 제어할 수 있다. 유망한 유동세포계수법(flow cytometry, FC) 기술은 우유, 요구르트, 그 외 발효 유제품의 혼합 배양의 분석에 뛰어나다. 이 기술은 공정 과정 중에 또는 생산품의 유통 기한 관리에 사용될 수 있지만, 이 기술을 사용하기 위해서는 우유 단백질에 의해서 생성되는 인공 산물을 방지하기 위해 최적화 되어야 한다. 또한 유동세포계수법(flow cytometry, FC)은 정량 한계가 높기 때문에, 현재 사용하고 있는 탐침(probe)은 종 또는 속이 아닌 표적 세포 구성을 분석한다. 따라서 유동세포계수법(flow cytometry, FC)은 특정 물질의 계수보다는 생리적 상태를 측정에 더 적합한 기술이라고 볼 수 있다. Omics 자료를 통해 생리적 상태를 더 신속하게 측정할 수 있는 핵심적인 생체지표 확인이 가능해졌다. PCR은 이미 식품매개 병원균 및 부패균의 검출에 일상적으로 사용되고 있다. 이 기술은 더욱 나아가 발효균 및 probiotic 박테리아 검출에도 사용되어 핵산 추출, PCR 과정, 자료 해석을 표준화 시킬 수 있으며, 또한 다른 기술에 비해 PCR은 표적 발효 균주를 더 신속하게 선택하며, 공정 과정을 최적상태로 유지시킬 수 있을 것이다. LAB와 probiotic의 적응성 및 생리적 상태의 연구에 필요한 기준, 특허품, 상업화된 신속분석장치(kit)는 아직까지 개발되지 않았다. 본 총설 논문에서는 여러 가지 기술을 검토함으로써 이 모든 기술에는 2가지 주요한 요인이 있다. 첫 번째는 낙농업 산업의 특정 요구에 따른 방법의 평가이며, 두 번째는 공식적인 기준에 따른 검증이다. 사실상 식품매개 병원균의 특성 분석에 사용될 수 있는 표준법이 개발되고 검증되었지만, LAB, probiotic 등의 박테리아 분석에 있어서 표준화된 방법과 진단산업과의 연관성이 부족한 것이 사실이다. 낙농 업계에 의해서 수행되어진 품질관리의 양을 고려해 볼 때 이것은 매우 중요하게 인식되어야 할 부분이다.

• Genomics & Informatics
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• 제18권1호
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• pp.8.1-8.10
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• 2020

The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and ensuing computational problems. In Korea, the amount of genomic data has been increasing rapidly in the recent years. Leveraging these big data requires researchers to use large-scale computational resources and analysis pipelines. A promising solution for addressing this computational challenge is cloud computing, where CPUs, memory, storage, and programs are accessible in the form of virtual machines. Here, we present a cloud computing-based system, Bio-Express, that provides user-friendly, cost-effective analysis of massive genomic datasets. Bio-Express is loaded with predefined multi-omics data analysis pipelines, which are divided into genome, transcriptome, epigenome, and metagenome pipelines. Users can employ predefined pipelines or create a new pipeline for analyzing their own omics data. We also developed several web-based services for facilitating downstream analysis of genome data. Bio-Express web service is freely available at https://www. bioexpress.re.kr/.

• Journal of Plant Biotechnology
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• 제45권3호
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• pp.196-206
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• 2018

고구마는 식량뿐만 아니라 전분을 비롯하여 카로티노이드, 비타민C, 비타민E, 안토시아닌과 같은 저분자 항산화물질을 생산하는 중요한 산업용 뿌리작물로 건조 등 조건 불리지역에 적용이 가능한 최고의 전분작물로 각광받고 있다. 이러한 관점에서 중국, 일본을 비롯한 세계 각국에서 오믹스 기반 유용유전자 발굴 및 활용에 대한 연구가 활발히 진행되고 있다. 또한 2014년부터 한 중 일 고구마연구협의회(TRAS)를 중심으로 Xushu 18(6배체) 고구마 유전체 해독 연구가 진행되고 있으며 거의 완성단계에 이르고 있다. 향후 고구마 유전체 해독이 완성되면 오믹스 기반 연구결과와 더불어 전분대사, 항산화물질 대사, 환경스트레스, 기능성 등의 기작에 관여하는 유용유전자 분리 및 활용 연구의 활성화에 기여할 것이며 6배체 고구마 유전체 해독 연구는 식물 유전체 해독에 있어 가장 문제시되는 다배수체 식물의 유전체 해독 문제해결에 가장 큰 기여를 할 것으로 기대 된다. 본 논문은 현재까지 연구된 고구마 생명공학 연구 현황과 조건 불리지역 분자육종 전망에 대해 기술하였다. 이러한 연구 동향 분석은 고구마를 활용한 글로벌 식량, 에너지, 환경문제 해결을 위한 실용화 연구에 도움이 될 것으로 생각된다.

• Molecules and Cells
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• 제37권6호
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• pp.449-456
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• 2014

The use of synovial fluid-derived mesenchymal stem cells (SFMSCs) obtained from patients with degenerative arthropathy may serve as an alternative therapeutic strategy in osteoarthritis (OA) and rheumatoid arthritis (RA). For treatment of OA and RA patients, autologous transplantation of differentiated MSCs has several beneficial effects for cartilage regeneration including immunomodulatory activity. In this study, we induced chondrogenic differentiation of SFMSCs by inhibiting protein kinase A (PKA) with a small molecule and microRNA (miRNA). Chondrogenic differentiation was confirmed by PCR and immunocytochemistry using probes specific for aggrecan, the major cartilaginous proteoglycan gene. Absorbance of alcian blue stain to detect chondrogenic differentiation was increased in H-89 and/or miRNA-23b-transfected cells. Furthermore, expression of matrix metalloproteinase (MMP)-9 and MMP-2 was decreased in treated1 cells. Therefore, differentiation of SFMSCs into chondrocytes through inhibition of PKA signaling may be a therapeutic option for OA or RA patients.

• Genomics & Informatics
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• 제4권1호
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• pp.40-44
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• 2006

Toxicogenomics combines transcriptome, proteome and metabolome profiling with conventional toxicology to investigate the interaction between biological molecules and toxicant or environmental stress in disease caution. Toxicogenomics faces the problems of comparison and integration across different sources of data. Cause of unusual characteristics of toxicogenomic data, researcher should be assisted by data analysis and annotation for getting meaningful information. There are already existing repositories which claim to stand for toxicogenomics database. However, those just contain limited abilities for toxicogenomic research. For supporting toxicologist who comes up against toxicogenomic data flood, now we propose novel toxicogenomics knowledgebase system, XPERANTO-TOX. XPERANTO-TOX is an integrated system for toxicogenomic data management and analysis. It is composed of three distinct but closely connected parts. Firstly, Data Storage System is for reposit many kinds of '-omics' data and conventional toxicology data. Secondly, Data Analysis System consists of analytical modules for integrated toxicogenomics data. At last, Data Annotation System is for giving extensive insight of data to researcher.