• 제목/요약/키워드: sequencing technology

검색결과 928건 처리시간 0.025초

Next-generation approaches to the microbial ecology of food fermentations

  • Bokulich, Nicholas A.;Mills, David A.
    • BMB Reports
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    • 제45권7호
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    • pp.377-389
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    • 2012
  • Food fermentations have enhanced human health since the dawn of time and remain a prevalent means of food processing and preservation. Due to their cultural and nutritional importance, many of these foods have been studied in detail using molecular tools, leading to enhancements in quality and safety. Furthermore, recent advances in high-throughput sequencing technology are revolutionizing the study of food microbial ecology, deepening insight into complex fermentation systems. This review provides insight into novel applications of select molecular techniques, particularly next-generation sequencing technology, for analysis of microbial communities in fermented foods. We present a guideline for integrated molecular analysis of food microbial ecology and a starting point for implementing next-generation analysis of food systems.

DNA Fingerprinting by Amplified Fragment Length Polymorphism Markers in Rainbow Trout(Oncorhynchus mykiss)

  • Yoon, Jong-Man;Park, Sang-Hoon
    • 한국어업기술학회:학술대회논문집
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    • 한국어업기술학회 2001년도 춘계 수산관련학회 공동학술대회발표요지집
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    • pp.559-560
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    • 2001
  • The objective of the present study was to analyze genetic variation and characteristics in rainbow trout(Oncorhynchus mykiss) using amplified fragment length polymorphism(AFLP) method as molecular genetic technique, to evaluate the usefulness of AFLP as genetic markers, and to compared the efficiency of agarose and polyacrylamide sequencing gels. The amplified products were performed by agarose and sequencing gel electrophoresis to detect AFLP band patterns, respectively. Using 9 primer combinations, total of 141 AFLP bands were produced, 108 bands(82.4%) of which were polymorphic in agarose gels. In sequencing gels, total of 288 bands were generated, and 220 bands (76.4%) were polymorphic. The level of bandsharing(BS) ranged from 0.18 to 0.32 for the 9 primer combinations tested, with a mean of 0.24. Consequently, AFLP markers of these rainbow trout could be used as genetic information such as species identification, genetic relationship or analysis of genome structure, and selection aids for genetic improvement of economically importment traits in fish species.

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What Single Cell RNA Sequencing Has Taught Us about Chronic Obstructive Pulmonary Disease

  • Don D. Sin
    • Tuberculosis and Respiratory Diseases
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    • 제87권3호
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    • pp.252-260
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    • 2024
  • Chronic obstructive pulmonary disease (COPD) affects close to 400 million people worldwide and is the 3rd leading cause of mortality. It is a heterogeneous disorder with multiple endophenotypes, each driven by specific molecular networks and processes. Therapeutic discovery in COPD has lagged behind other disease areas owing to a lack of understanding of its pathobiology and scarcity of biomarkers to guide therapies. Single cell RNA sequencing (scRNA-seq) is a powerful new tool to identify important cellular and molecular networks that play a crucial role in disease pathogenesis. This paper provides an overview of the scRNA-seq technology and its application in COPD and the lessons learned to date from scRNA-seq experiments in COPD.

Muscle differentiation induced up-regulation of calcium-related gene expression in quail myoblasts

  • Park, Jeong-Woong;Lee, Jeong Hyo;Kim, Seo Woo;Han, Ji Seon;Kang, Kyung Soo;Kim, Sung-Jo;Park, Tae Sub
    • Asian-Australasian Journal of Animal Sciences
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    • 제31권9호
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    • pp.1507-1515
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    • 2018
  • Objective: In the poultry industry, the most important economic traits are meat quality and carcass yield. Thus, many studies were conducted to investigate the regulatory pathways during muscle differentiation. To gain insight of muscle differentiation mechanism during growth period, we identified and validated calcium-related genes which were highly expressed during muscle differentiation through mRNA sequencing analysis. Methods: We conducted next-generation-sequencing (NGS) analysis of mRNA from undifferentiated QM7 cells and differentiated QM7 cells (day 1 to day 3 of differentiation periods). Subsequently, we obtained calcium related genes related to muscle differentiation process and examined the expression patterns by quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Results: Through RNA sequencing analysis, we found that the transcription levels of six genes (troponin C1, slow skeletal and cardiac type [TNNC1], myosin light chain 1 [MYL1], MYL3, phospholamban [PLN], caveolin 3 [CAV3], and calsequestrin 2 [CASQ2]) particularly related to calcium regulation were gradually increased according to days of myotube differentiation. Subsequently, we validated the expression patterns of calcium-related genes in quail myoblasts. These results indicated that TNNC1, MYL1, MYL3, PLN, CAV3, CASQ2 responded to differentiation and growth performance in quail muscle. Conclusion: These results indicated that calcium regulation might play a critical role in muscle differentiation. Thus, these findings suggest that further studies would be warranted to investigate the role of calcium ion in muscle differentiation and could provide a useful biomarker for muscle differentiation and growth.

Efficiency to Discovery Transgenic Loci in GM Rice Using Next Generation Sequencing Whole Genome Re-sequencing

  • Park, Doori;Kim, Dongin;Jang, Green;Lim, Jongsung;Shin, Yun-Ji;Kim, Jina;Seo, Mi-Seong;Park, Su-Hyun;Kim, Ju-Kon;Kwon, Tae-Ho;Choi, Ik-Young
    • Genomics & Informatics
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    • 제13권3호
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    • pp.81-85
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    • 2015
  • Molecular characterization technology in genetically modified organisms, in addition to how transgenic biotechnologies are developed now require full transparency to assess the risk to living modified and non-modified organisms. Next generation sequencing (NGS) methodology is suggested as an effective means in genome characterization and detection of transgenic insertion locations. In the present study, we applied NGS to insert transgenic loci, specifically the epidermal growth factor (EGF) in genetically modified rice cells. A total of 29.3 Gb (${\sim}72{\times}coverage$) was sequenced with a $2{\times}150bp$ paired end method by Illumina HiSeq2500, which was consecutively mapped to the rice genome and T-vector sequence. The compatible pairs of reads were successfully mapped to 10 loci on the rice chromosome and vector sequences were validated to the insertion location by polymerase chain reaction (PCR) amplification. The EGF transgenic site was confirmed only on chromosome 4 by PCR. Results of this study demonstrated the success of NGS data to characterize the rice genome. Bioinformatics analyses must be developed in association with NGS data to identify highly accurate transgenic sites.

블록체인 기반 유전자분석 정보플랫폼의 수용에 대한 연구 (A Study on Acceptance of Blockchain-Based Genetic Information Platform)

  • 최인선;박동찬;정두희
    • 경영정보학연구
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    • 제23권3호
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    • pp.97-125
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    • 2021
  • 블록체인은 유전자분석 서비스의 한계점인 개인정보 유출, 데이터 관리 이슈 등을 해결하고 이를 활성화할 핵심기술로 주목받고 있다. 유전자분석 서비스는 지속적 비용 감소와 규제환경 변화로 인해 시장규모가 증대해 왔으며, 뛰어난 보안과 다양한 서비스와 연결이 가능한 블록체인이 결합될 경우, 잠재성이 더욱 커질 것으로 예상된다. 이 연구에서는 기술수용모델(TAM)과 혁신저항이론을 결합해 연구 모형을 제작, 블록체인 속성 중 차세대 유전자분석 서비스의 수용의도와 혁신 저항에 영향을 미치는 요인들을 분석한다. 이러한 분석을 위해 블록체인 및 유전자분석 서비스에 대한 잠재적 사용자가 될 150여 명을 대상으로 설문조사를 진행하였다. 수용의도 및 저항에 영향을 줄 것이라고 추론하는 블록체인의 4자기 속성 즉, 보안성, 투명성, 가용성, 다양성 등을 연구변수로 설정하여 분석을 진행했다. 기술수용 및 혁신저항 변수에는 인지된 유용성, 인지된 위험, 인지된 복잡성 등을 설정하여, 블록체인의 특성이 매개변수를 통해 수용의도와 혁신저항에 미치는 영향을 분석했다. 이러한 분석을 통해 차세대 유전자분석 정보플랫폼의 저항을 줄이고 수용의도를 높이기 위해 중요하게 고려해야할 핵심변수를 가려낸다. 이 연구는 블록체인 기반의 새로운 유전자분석 정보플랫폼을 준비하는 업체에서 서비스 고도화를 위해 고려해야 할 혁신요인을 제시한다는 점에서 의의가 있다.

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.

Mass-Spectral Identification of an Extracellular Protease from Bacillus subtilis KCCM 10257, a Producer of Antibacterial Peptide Subtilein

  • SONG HYUK-HWAN;GIL MI-JUNG;LEE CHAN
    • Journal of Microbiology and Biotechnology
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    • 제15권5호
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    • pp.1054-1059
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    • 2005
  • An extracellular protease was identified from Bacillus subtilis KCCM 10257 by N-terminal sequencing and mass spectral analysis. The molecular mass of the extracellular protease was estimated to be 28 kDa by SDS-PAGE. Sequencing of the N-terminal of the protease revealed the sequence of A(G,S,R)QXVPYG(A)V(P,L)SQ. The N-terminal sequence exhibited close similarity to the sequence of other proteases from Bacillus sp. A mass list of the monoisotopic peaks in the MALDI-TOF spectrum was searched after peptide fragmentation of the protease. Six peptide sequences exhibiting monoisotopic masses of 1,276.61, 1,513.67, 1,652.81, 1,661.83, 1,252.61, and 1,033.46 were observed from the fragmented protease. These monisotopic masses corresponded to the lytic enzyme L27 from Bacillus subtilis 168, and the Mowse score was found to be 75. A doubly charged Top product (MS) at a m/z of 517.3 exhibiting a molecular mass of 1034.6 was further analyzed by de novo sequencing using a PE Sciex QSTAR Hybrid Quadropole-TOF (MS/MS) mass spectrometer. MS/MS spectra of the Top product (MS) at a m/z of 517.3 obtained from the fragmented peptide mixture of protease with Q-star contained the b-ion series of 114.2, 171.2, 286.2, 357.2, 504.2, 667.4, 830.1, and 887.1 and y-ion series of 147.5, 204.2, 367.2, 530.3, 677.4, 748.4, 863.4, and 920.5. The sequence of analyzed peptide ion was identified as LGDAFYYG from the b- and y-ion series by de novo sequencing and corresponded to the results from the MALDI-TOF spectrum. From these results the extracellular protease from Bacillus subtilis KCCM 10257 was successfully identified with the lytic enzyme L27 from Bacillus subtilis 168.

Comprehensive Characterization of Mutant Pichia stipitis Co-Fermenting Cellobiose and Xylose through Genomic and Transcriptomic Analyses

  • Dae-Hwan Kim;Hyo-Jin Choi;Yu Rim Lee;Soo-Jung Kim;Sangmin Lee;Won-Heong Lee
    • Journal of Microbiology and Biotechnology
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    • 제32권11호
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    • pp.1485-1495
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    • 2022
  • The development of a yeast strain capable of fermenting mixed sugars efficiently is crucial for producing biofuels and value-added materials from cellulosic biomass. Previously, a mutant Pichia stipitis YN14 strain capable of co-fermenting xylose and cellobiose was developed through evolutionary engineering of the wild-type P. stipitis CBS6054 strain, which was incapable of co-fermenting xylose and cellobiose. In this study, through genomic and transcriptomic analyses, we sought to investigate the reasons for the improved sugar metabolic performance of the mutant YN14 strain in comparison with the parental CBS6054 strain. Unfortunately, comparative whole-genome sequencing (WGS) showed no mutation in any of the genes involved in the cellobiose metabolism between the two strains. However, comparative RNA sequencing (RNA-seq) revealed that the YN14 strain had 101.2 times and 5.9 times higher expression levels of HXT2.3 and BGL2 genes involved in cellobiose metabolism, and 6.9 times and 75.9 times lower expression levels of COX17 and SOD2.2 genes involved in respiration, respectively, compared with the CBS6054 strain. This may explain how the YN14 strain enhanced cellobiose metabolic performance and shifted the direction of cellobiose metabolic flux from respiration to fermentation in the presence of cellobiose compared with the CBS6054 strain.