• 제목/요약/키워드: Multi-omics analysis

검색결과 29건 처리시간 0.026초

Estimation of high-dimensional sparse cross correlation matrix

  • Yin, Cao;Kwangok, Seo;Soohyun, Ahn;Johan, Lim
    • Communications for Statistical Applications and Methods
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    • 제29권6호
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    • pp.655-664
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    • 2022
  • On the motivation by an integrative study of multi-omics data, we are interested in estimating the structure of the sparse cross correlation matrix of two high-dimensional random vectors. We rewrite the problem as a multiple testing problem and propose a new method to estimate the sparse structure of the cross correlation matrix. To do so, we test the correlation coefficients simultaneously and threshold the correlation coefficients by controlling FRD at a predetermined level α. Further, we apply the proposed method and an alternative adaptive thresholding procedure by Cai and Liu (2016) to the integrative analysis of the protein expression data (X) and the mRNA expression data (Y) in TCGA breast cancer cohort. By varying the FDR level α, we show that the new procedure is consistently more efficient in estimating the sparse structure of cross correlation matrix than the alternative one.

Development of bioinformatics and multi-omics analyses in organoids

  • Doyeon Ha;JungHo Kong;Donghyo Kim;Kwanghwan Lee;Juhun Lee;Minhyuk Park;Hyunsoo Ahn;Youngchul Oh;Sanguk Kim
    • BMB Reports
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    • 제56권1호
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    • pp.43-48
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    • 2023
  • Pre-clinical models are critical in gaining mechanistic and biological insights into disease progression. Recently, patient-derived organoid models have been developed to facilitate our understanding of disease development and to improve the discovery of therapeutic options by faithfully recapitulating in vivo tissues or organs. As technological developments of organoid models are rapidly growing, computational methods are gaining attention in organoid researchers to improve the ability to systematically analyze experimental results. In this review, we summarize the recent advances in organoid models to recapitulate human diseases and computational advancements to analyze experimental results from organoids.

DC23, a Triazolothione Resorcinol Analogue, Is Extensively Metabolized to Glucuronide Conjugates in Human Liver Microsomes

  • Shon, Jong Cheol;Joo, Jeongmin;Lee, Taeho;Kim, Nam Doo;Liu, Kwang-Hyeon
    • Mass Spectrometry Letters
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    • 제9권1호
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    • pp.24-29
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    • 2018
  • DC23, a triazolothione resorcinol analogue, is known to inhibit heat shock protein 90 and pyruvate dehydrogenase kinase which are up-regulated in cancer and diabetes, respectively. This study was performed to elucidate the metabolism of DC23 in human liver microsomes (HLMs). HLMs incubated with DC23 in the presence of uridine 5'-diphosphoglucuronic acid (UDPGA) and/or ${\beta}$-nicotinamide adenine dinucleotide phosphate (NADPH) resulted in the formation of four metabolites, M1-M4. M1 was identified as DC23-N-Oxide, on the basis of LC-MS/MS analysis. DC23 was further metabolized to its glucuronide conjugates (M2, M3, and M4). In vitro metabolic stability studies conducted with DC23 in HLMs revealed significant glucuronide conjugation with a $t_{1/2}$ value of 1.3 min. The inhibitory potency of DC23 on five human cytochrome P450s was also investigated in HLMs. In these experiments, DC23 inhibited CYP2C9-mediated tolbutamide hydroxylase activity with an $IC_{50}$ value of $8.7{\mu}M$, which could have implications for drug interactions.

Discovery to Human Disease Research: Proteo-Metabolomics Analysis

  • Minjoong Joo;Jeong-Hun Mok;Van-An Duong;Jong-Moon Park;Hookeun Lee
    • Mass Spectrometry Letters
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    • 제15권2호
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    • pp.69 -78
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    • 2024
  • The advancement of high-throughput omics technologies and systems biology is essential for understanding complex biological mechanisms and diseases. The integration of proteomics and metabolomics provides comprehensive insights into cellular functions and disease pathology, driven by developments in mass spectrometry (MS) technologies, including electrospray ionization (ESI). These advancements are crucial for interpreting biological systems effectively. However, integrating these technologies poses challenges. Compared to genomic, proteomics and metabolomics have limitations in throughput, and data integration. This review examines developments in MS equipped electrospray ionization (ESI), and their importance in the effective interpretation of biological mechanisms. The review also discusses developments in sample preparation, such as Simultaneous Metabolite, Protein, Lipid Extraction (SIMPLEX), analytical techniques, and data analysis, highlighting the application of these technologies in the study of cancer or Huntington's disease, underscoring the potential for personalized medicine and diagnostic accuracy. Efforts by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and integrative data analysis methods such as O2PLS and OnPLS extract statistical similarities between metabolomic and proteomic data. System modeling techniques that mathematically explain and predict system responses are also covered. This practical application also shows significant improvements in cancer research, diagnostic accuracy and therapeutic targeting for diseases like pancreatic ductal adenocarcinoma, non-small cell lung cancer, and Huntington's disease. These approaches enable researchers to develop standardized protocols, and interoperable software and databases, expanding multi-omics research application in clinical practice.

Metabolic Regulation of Longevity and Immune Response in Caenorhabditis elegans by Ingestion of Lacticaseibacillus rhamnosus IDCC 3201 Using Multi-Omics Analysis

  • Daniel Junpyo Lee;Ju Young Eor;Min-Jin Kwak;Junbeom Lee;An Na Kang;Daye Mun;Hyejin Choi;Minho Song;Jong Nam Kim;Jun-Mo Kim;Jungwoo Yang;Hyung Wook Kim;Sangnam Oh;Younghoon Kim
    • Journal of Microbiology and Biotechnology
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    • 제34권5호
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    • pp.1109-1118
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    • 2024
  • Probiotics, specifically Lacticaseibacillus rhamnosus, have garnered attention for their potential health benefits. This study focuses on evaluating the probiotic properties of candidate probiotics L. rhamnosus IDCC 3201 (3201) using the Caenorhabditis elegans surrogate animal model, a well-established in vivo system for studying host-bacteria interactions. The adhesive ability to the host's gastrointestinal tract is a crucial criterion for selecting potential probiotic bacteria. Our findings demonstrated that 3201 exhibits significantly higher adhesive capabilities compared with Escherichia coli OP50 (OP50), a standard laboratory food source for C. elegans and is comparable with the widely recognized probiotic L. rhamnosus GG (LGG). In lifespan assay, 3201 significantly increased the longevity of C. elegans compared with OP50. In addition, preconditioning with 3201 enhanced C. elegans immune response against four different foodborne pathogenic bacteria. To uncover the molecular basis of these effects, transcriptome analysis elucidated that 3201 modulates specific gene expression related to the innate immune response in C. elegans. C-type lectin-related genes and lysozyme-related genes, crucial components of the immune system, showed significant upregulation after feeding 3201 compared with OP50. These results suggested that preconditioning with 3201 may enhance the immune response against pathogens. Metabolome analysis revealed increased levels of fumaric acid and succinic acid, metabolites of the citric acid cycle, in C. elegans fed with 3201 compared with OP50. Furthermore, there was an increase in the levels of lactic acid, a well-known antimicrobial compound. This rise in lactic acid levels may have contributed to the robust defense mechanisms against pathogens. In conclusion, this study demonstrated the probiotic properties of the candidate probiotic L. rhamnosus IDCC 3201 by using multi-omics analysis.

Single-Cell Toolkits Opening a New Era for Cell Engineering

  • Lee, Sean;Kim, Jireh;Park, Jong-Eun
    • Molecules and Cells
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    • 제44권3호
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    • pp.127-135
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    • 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.

분광광도계를 이용한 폴리에톡시레이티드 아스코르빈산 분석법 개발 (Analysis of polyethoxylated ascorbic acid using spectrophotometry)

  • 오철학;류광현
    • Journal of Applied Biological Chemistry
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    • 제59권4호
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    • pp.361-364
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    • 2016
  • 본 연구에서는 3-ethyl ascorbic acid를 표준물질로 이용하여, 폴리에톡시레이티드 아스코르빈산의 정량법을 개발하였고, 확립된 시험법으로 시중에서 돼지 및 닭의 면역력 증진과 열에 대한 스트레스 경감제로 유통되고 있는 Poustin-C 검체 내 폴리에톡시레이티드 아스코르빈산의 함량 분석을 실제로 분석하여 시험법의 유효성을 검증하였다. 개발한 분석법의 검증은 직선성, 정확성, 정밀성 및 안정성 시험 등을 통하여 평가하였다. 정밀도 시험은 일내 정밀성과 일간 정밀성으로 나누어 확인하였는데, 일내 및 일간 정밀성은 모두 3.4 % 이내로 매우 우수하였다. 그리고 직선성 실험에서는 상관계수($r^2$)가 0.998 이상으로 우수하였다. 실온에서 6시간까지는 안정하여 실험 도중 분해되지 않음을 확인하였다. 따라서 본 연구에서 개발된 시험법은 검체 내 폴리에톡시레이티드 아스코르빈산의 함량을 분석하기 위한 공정 시험법으로 활용할 수 있을 것으로 사료된다.

식품분야에서 Iipidomics 분석 기술의 활용 (Application of Iipidomics in food science)

  • 김현진;장광주;이현정;김보민;오주홍
    • 식품과학과 산업
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    • 제50권1호
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    • pp.16-25
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    • 2017
  • There is no doubt that accumulation of big data using multi-omics technologies will be useful to solve human's long-standing problems such as development of personalized diet and medicine, overcoming diseases, and longevity. However, in the food industry, big data based on omics is scarcely accumulated. In particular, comprehensive analysis of molecular lipid metabolites directly associated with food quality, such as taste, flavor, and texture has been very limited. Moreover, most of food lipidomics studies are applied to analyze lipid components and discriminate authenticity and freshness of limited foods including vegetable and fish oil. However, if lipid big data through food lipidomics research of various foods and materials can be accumulated, lipidomics can be used in the optimization of food processing, production, delivery system, food safety, and storage as well as functional food.

Seed-borne Pathogenic Bacterium Interact with Air-borne Plant Pathogenic Fungus in Rice Fields

  • Jung, Boknam;Park, Jungwook;Kim, Namgyu;Li, Taiying;Kim, Soyeon;Bartley, Laura E.;Kim, Jinnyun;Kim, Inyoung;Kang, Yoonhee;Yun, Ki-Hoon;Choi, Younghae;Lee, Hyun-Hee;Lee, Kwang Sik;Kim, Bo Yeon;Shon, Jong Cheol;Kim, Won Cheol;Liu, Kwang-Hyeon;Yoon, Dahye;Kim, Suhkman;Ji, Sungyeon;Seo, Young Su;Lee, Jungkwan
    • 한국균학회소식:학술대회논문집
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    • 한국균학회 2018년도 춘계학술대회 및 임시총회
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    • pp.33-33
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    • 2018
  • Air-borne plant pathogenic fungus Fusarium graminearum and seed-borne plant pathogenic bacterium Burkholderia glumae are cause similar disease symptoms in rice heads. Here we showed that two pathogens frequently co-isolated in rice heads and F. graminearum is resistant to toxoflavin produced by B. glumae while other fungal genera are sensitive to the toxin. We have tried to clarify the resistant mechanism of F. graminearum against toxoflavin and the ecological reason of co-existence of the two pathogens in rice. We found that F. graminearum carries resistance to toxoflavin as accumulating lipid in fungal cells. Co-cultivation of two pathogens resulted in increased conidia and enhanced chemical attraction and attachment of the bacterial cells to the fungal conidia. Bacteria physically attached to fungal conidia, which protected bacterium cells from UV light and allowed disease dispersal. Chemotaxis analysis showed that bacterial cells moved toward the fungal exudation compared to a control. Even enhanced the production of phytotoxic trichothecene by the fungal under presence of toxoflavin and disease severity on rice heads was significantly increased by co-inoculation rather than single inoculation. This study suggested that the undisclosed potentiality of air-born infection of bacteria using the fungal spores for survival and dispersal.

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Investigation of Herb-Drug Interactions between Korean Red Ginseng Extract and five CYP Substrates by LC-MS/MS

  • Jo, Jung Jae;Lee, Sangkyu
    • Mass Spectrometry Letters
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    • 제8권4호
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    • pp.98-104
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    • 2017
  • Ginseng (Panax ginseng Meyer) is a well-known health functional food used as a traditional herbal drug in Asian countries owing to its diverse pharmacological effects. Herb-drug interactions may cause unexpected side effects of co-administered drugs by the alteration of pharmacokinetics through effects on cytochrome P450 activity. In this study, we investigated the herb-drug interactions between Korean red ginseng extract (KRG) and five CYP-specific probes in mice. The pharmacokinetics of KRG extract induced-drug interactions were studied by cassette dosing of five CYP substrates for CYP1A, 2B, 2C, 2D, and 3A and the LC-MS/MS analysis of the blood concentration of metabolites of each of the five probes. The linearity, precision, and accuracy of the quantification method of the five metabolites were successfully confirmed. The plasma concentrations of five metabolites after co-administration of different doses of the KRG extract (0, 0.5, 1, and 2 g/kg) were quantified by LC-MS/MS and dose-dependent pharmacokinetic parameters were determined. The pharmacokinetic parameters of the five metabolites were not significantly altered by the dose of the KRG extract. In conclusion, the single co-administration of KRG extract up to 2 g/kg in vivo did not cause any significant herb-drug interactions linked to the modulation of CYP activity.