• 식품기술
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• 제18권1호
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• pp.3-15
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• 2005

최근 들어 게놈기능연구는 주요국가의 새로운 국가적 연구표적으로 지정되면서 유전자기반 생물산업의 핵심으로 부각되고 있다. 이러한 발전은인간(2001년 2월 인간 게놈의 초안 발표)을 비롯한 생물체의 게놈구조가 규명되어 이 유전자구조정보를 web상에서 쉽게 알아낼 수 있는데서 비롯된다. 포스트게놈시대의 게놈기능연구를 총괄적으로 '기능유전체학 (Functional Genomics)'이라고하며 여기에는 핵산(DNA나 RNA)을 표적으로 게놈기능을 연구하는 genomics(유전체학, RNA발현을 대상으로 하는 transcriptomics(전사체학) 포함), 총체적인 단백체를 대상으로 유전자기능을 연구하는 proteomics(단백질체학) 및 대사물질을 대상으로 하는 metabolomics(대사체학), 이들 분야를 공통적으로 지원하는 bioinformatics(생물정보학)로 구분된다. 본 고에서는 프로테오믹스 분야를 중심으로 소개하고자 한다.

• Molecules and Cells
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• 제42권3호
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• pp.189-199
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• 2019

Cell-to-cell variability in gene expression exists even in a homogeneous population of cells. Dissecting such cellular heterogeneity within a biological system is a prerequisite for understanding how a biological system is developed, homeostatically regulated, and responds to external perturbations. Single-cell RNA sequencing (scRNA-seq) allows the quantitative and unbiased characterization of cellular heterogeneity by providing genome-wide molecular profiles from tens of thousands of individual cells. A major question in analyzing scRNA-seq data is how to account for the observed cell-to-cell variability. In this review, we provide an overview of scRNA-seq protocols, computational approaches for dissecting cellular heterogeneity, and future directions of single-cell transcriptomic analysis.

• 한국발생생물학회지:발생과생식
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• 제27권1호
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• pp.9-24
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• 2023

The advancement in high-throughput sequencing (HTS) technology has revolutionized the field of biology, including genomics, epigenomics, transcriptomics, and metagenomics. This technology has become a crucial tool in many areas of research, allowing scientists to generate vast amounts of genetic data at a much faster pace than traditional methods. With this increased speed and scale of data generation, researchers can now address critical questions and gain new insights into the inner workings of living organisms, as well as the underlying causes of various diseases. Although the first HTS technology have been introduced about two decades ago, it can still be challenging for those new to the field to understand and use effectively. This review aims to provide a comprehensive overview of commonly used HTS technologies these days and their applications in terms of genome sequencing, transcriptome, DNA methylation, DNA-protein interaction, chromatin accessibility, three-dimensional genome organization, and microbiome.

• Journal of Plant Biotechnology
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• 제37권1호
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• pp.12-24
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• 2010

식물 대사체 (plant metabolomics) 연구는 식물 세포 및 조직에 존재하는 모든 대사산물의 시간적, 공간적 변화를 추적 조사함으로써 식물의 복잡한 생리 현상을 총체적으로 이해하는 연구이다. 이와 같은 식물 대사체 연구는 최근 개발이 이루어지고 있는 여러 오믹스 연구 분야의 하나로 시스템생물학의 한 분야이다. 식물 대사체 연구는 시료로부터 순수 화합물 또는 복합물을 정제하거나 또는 정제가 이루어지지 않은 혼합액으로부터 대사체 스펙트럼 정보를 확보하여 분석이 이루어지므로 추출액 제조 및 얻어진 대사체 데이터의 분석과정의 표준화가 필수적으로 이루어져야 한다. 이는 대사체 분석 결과의 해상도 및 재현성의 확보의 핵심 요소 이다. 식물 대사체 연구는 기능유전체학의 연구 수단은 물론 식물의 종, 품종, 더 나아가 GM 식물의 식별, 대사조절 기작 규명, 유용물질 생산, 식물의 외부 환경 스트레스 요인에 대한 다양한 생리적 반응 이해 등 다양한 연구 분야에서 활용이 이루어지고 있다. 최근 식물 대사체 연구는 모델식물(벼, 애기장대)의 유전체 정보와 연계하여 돌연변이주의 분석을 통해 유전자의 기능 정의 수단으로 활용되고 있다. 따라서 향후 유전체 정보와 대사체 정보의 연계를 통해 복잡한 대사경로 규명이나 다양한 생리 현상 해석 연구가 더욱 활발하게 진행될 것으로 전망된다.

• The Plant Pathology Journal
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• 제24권4호
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• pp.384-391
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• 2008

Rice blast disease, caused by the pathogenic fungus Magnaporthe grisea, is a serious issue in rice (Oryza sativa L.) growing regions of the world. Transcript profiling in rice inoculated with the fungus has been investigated using the transcriptomics technology, serial analysis of gene expression (SAGE). Short sequence tags containing sufficient information which are ten base-pairs representing the unique transcripts were identified by SAGE technology. We identified a total of 910 tag sequences via the GenBank database, and the resulting genes were shown to be up-regulated in all functional categories under the fungal biotic stress. Compared to the compatible interaction, the stress and defense genes in the incompatible interaction appear to be more up-regulated. Particularly, thaumatin-like gene (TLP) was investigated in determining the gene and protein expression level utilizing Northern and Western blotting analyses, resulting in an increase in both the gene and the protein expression level which arose earlier in the incompatible interaction than in the compatible interaction.

• Journal of Microbiology and Biotechnology
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• 제19권2호
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• pp.136-139
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• 2009

Avermectin and its analogs are major commercial antiparasitic agents in the fields of animal health, agriculture, and human infections. Previously, comparative transcriptome analysis between the low-producer S. avermitilis ATCC31267 and the high-producer S. avermitilis ATCC31780 using a S. avermitilis whole genome chip revealed that 50 genes were overexpressed at least two-fold higher in S. avermitilis ATCC31780. To verify the biological significance of some of the transcriptomics-guided targets, five putative regulatory genes were individually cloned under the strong-and-constitutive promoter of the Streptomyces expression vector pSE34, followed by the transformation into the low-producer S. avermitilis ATCC31267. Among the putative genes tested, three regulatory genes including SAV213, SAV3818, and SAV4023 exhibited stimulatory effects on avermectin production in S. avermitilis ATCC31267. Moreover, overexpression of SAV3818 also stimulated actinorhodin production in both S. coelicolor M145 and S. lividans TK21, implying that the SAV3818, a putative TetR-family transcriptional regulator, could be a global upregulator acting in antibiotic production in Streptomyces species.

• 한국자기공명학회논문지
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• 제21권3호
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• pp.102-108
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• 2017

Escherichia coli responds to ever-changing external and internal stresses by rapidly adjusting its physiology for better survival. This adjustment occurs at all levels including metabolites as well as mRNAs and proteins. Although there has been many reports describing E. coli's adaptation to various stresses regarding transcriptomics or proteomics, only a few investigations have been reported regarding this adaptation viewed from metabolites' perspective. We applied four different types of stresses at four different doses as imposed by NaCl, sorbitol, ethanol, and pH to investigate the similarities or differences among the stresses, and which stress causes the largest perturbation of the metabolite composition. We profiled the metabolites under such external stresses by using two-dimensional NMR spectroscopy and identified 39 metabolites including amino acids, sugars, organic acids, and nucleic acids. According to our statistical analysis, the osmotic stress caused by sorbitol differentiated itself from others, while NaCl showed the largest dose dependent metabolic perturbations. We hope this work will form a foundation on which an approach to a successful protein production is systematically provided by a favorable metabolic environment by imposing proper external stresses.

• BMB Reports
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• 제47권10호
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• pp.531-539
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• 2014

All living cells release extracellular vesicles having pleiotropic functions in intercellular communication. Mammalian extracellular vesicles, also known as exosomes and microvesicles, are spherical bilayered proteolipids composed of various bioactive molecules, including RNAs, DNAs, proteins, and lipids. Extracellular vesicles directly and indirectly control a diverse range of biological processes by transferring membrane proteins, signaling molecules, mRNAs, and miRNAs, and activating receptors of recipient cells. The active interaction of extracellular vesicles with other cells regulates various physiological and pathological conditions, including cancer, infectious diseases, and neurodegenerative disorders. Recent developments in high-throughput proteomics, transcriptomics, and lipidomics tools have provided ample data on the common and specific components of various types of extracellular vesicles. These studies may contribute to the understanding of the molecular mechanism involved in vesicular cargo sorting and the biogenesis of extracellular vesicles, and, further, to the identification of disease-specific biomarkers. This review focuses on the components, functions, and therapeutic and diagnostic potential of extracellular vesicles under various pathophysiological conditions.

• Asian Pacific Journal of Cancer Prevention
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• 제17권3호
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• pp.1003-1008
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• 2016

Breast cancer is now the leading cause of cancer death in women worldwide. Cancer progression is driven not only by cancer cell intrinsic alterations and interactions with tumor microenvironment, but also by systemic effects. Integration of multiple profiling data may provide insights into the underlying molecular mechanisms of complex systemic processes. We performed a bioinformatic analysis of two public available microarray datasets for breast tumor stroma and peripheral blood mononuclear cells, featuring integrated transcriptomics data, protein-protein interactions (PPIs) and protein subcellular localization, to identify genes and biological pathways that contribute to dialogue between tumor stroma and the peripheral circulation. Genes of the integrin family as well as CXCR4 proved to be hub nodes of the crosstalk network and may play an important role in response to stroma-derived chemoattractants. This study pointed to potential for development of therapeutic strategies that target systemic signals travelling through the circulation and interdict tumor cell recruitment.

• Molecules and Cells
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• 제37권5호
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• pp.357-364
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• 2014

Medulloblastoma, the most common malignant brain tumor in children, is a disease whose mechanisms are now beginning to be uncovered by high-throughput studies of somatic mutations, mRNA expression patterns, and epigenetic profiles of patient tumors. One emerging theme from studies that sequenced the tumor genomes of large cohorts of medulloblastoma patients is frequent mutation of RNA binding proteins. Proteins which bind multiple RNA targets can act as master regulators of gene expression at the post-transcriptional level to co-ordinate cellular processes and alter the phenotype of the cell. Identification of the target genes of RNA binding proteins may highlight essential pathways of medulloblastomagenesis that cannot be detected by study of transcriptomics alone. Furthermore, a subset of RNA binding proteins are attractive drug targets. For example, compounds that are under development as anti-viral targets due to their ability to inhibit RNA helicases could also be tested in novel approaches to medulloblastoma therapy by targeting key RNA binding proteins. In this review, we discuss a number of RNA binding proteins, including Musashi1 (MSI1), DEAD (Asp-Glu-Ala-Asp) box helicase 3 X-linked (DDX3X), DDX31, and cell division cycle and apoptosis regulator 1 (CCAR1), which play potentially critical roles in the growth and/or maintenance of medulloblastoma.