• Title/Summary/Keyword: high-throughput sequencing

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The Principles and Applications of High-Throughput Sequencing Technologies

  • Jun-Yeong Lee
    • Development and Reproduction
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    • v.27 no.1
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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.

Novel High-Throughput DNA Part Characterization Technique for Synthetic Biology

  • Bak, Seong-Kun;Seong, Wonjae;Rha, Eugene;Lee, Hyewon;Kim, Seong Keun;Kwon, Kil Koang;Kim, Haseong;Lee, Seung-Goo
    • Journal of Microbiology and Biotechnology
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    • v.32 no.8
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    • pp.1026-1033
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    • 2022
  • This study presents a novel DNA part characterization technique that increases throughput by combinatorial DNA part assembly, solid plate-based quantitative fluorescence assay for phenotyping, and barcode tagging-based long-read sequencing for genotyping. We confirmed that the fluorescence intensities of colonies on plates were comparable to fluorescence at the single-cell level from a high-end, flow-cytometry device and developed a high-throughput image analysis pipeline. The barcode tagging-based long-read sequencing technique enabled rapid identification of all DNA parts and their combinations with a single sequencing experiment. Using our techniques, forty-four DNA parts (21 promoters and 23 RBSs) were successfully characterized in 72 h without any automated equipment. We anticipate that this high-throughput and easy-to-use part characterization technique will contribute to increasing part diversity and be useful for building genetic circuits and metabolic pathways in synthetic biology.

New Lung Cancer Panel for High-Throughput Targeted Resequencing

  • Kim, Eun-Hye;Lee, Sunghoon;Park, Jongsun;Lee, Kyusang;Bhak, Jong;Kim, Byung Chul
    • Genomics & Informatics
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    • v.12 no.2
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    • pp.50-57
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    • 2014
  • We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently in lung adenocarcinoma. The total length of the target regions is 107 kb, and a capture assay was designed to cover 99% of it. This method exhibited about 97% mean coverage at $30{\times}$ sequencing depth and 42% average specificity when sequencing of more than 3.25 Gb was carried out for the normal sample. We discovered 513 variations from targeted exome sequencing of lung cancer cells, which is 3.9-fold higher than in the normal sample. The variations in cancer cells included previously reported somatic mutations in the COSMIC database, such as variations in TP53, KRAS, and STK11 of sample H-23 and in EGFR of sample H-1650, especially with more than $1,000{\times}$ coverage. Among the somatic mutations, up to 91% of single nucleotide polymorphisms from the two cancer samples were validated by DNA microarray-based genotyping. Our results demonstrated the feasibility of high-throughput mutation profiling with lung adenocarcinoma samples, and the profiling method can be used as a robust and effective protocol for somatic variant screening.

Analyses of alternative polyadenylation: from old school biochemistry to high-throughput technologies

  • Yeh, Hsin-Sung;Zhang, Wei;Yong, Jeongsik
    • BMB Reports
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    • v.50 no.4
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    • pp.201-207
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    • 2017
  • Alternations in usage of polyadenylation sites during transcription termination yield transcript isoforms from a gene. Recent findings of transcriptome-wide alternative polyadenylation (APA) as a molecular response to changes in biology position APA not only as a molecular event of early transcriptional termination but also as a cellular regulatory step affecting various biological pathways. With the development of high-throughput profiling technologies at a single nucleotide level and their applications targeted to the 3'-end of mRNAs, dynamics in the landscape of mRNA 3'-end is measureable at a global scale. In this review, methods and technologies that have been adopted to study APA events are discussed. In addition, various bioinformatics algorithms for APA isoform analysis using publicly available RNA-seq datasets are introduced.

A Primer for Disease Gene Prioritization Using Next-Generation Sequencing Data

  • Wang, Shuoguo;Xing, Jinchuan
    • Genomics & Informatics
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    • v.11 no.4
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    • pp.191-199
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    • 2013
  • High-throughput next-generation sequencing (NGS) technology produces a tremendous amount of raw sequence data. The challenges for researchers are to process the raw data, to map the sequences to genome, to discover variants that are different from the reference genome, and to prioritize/rank the variants for the question of interest. The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. However, the NGS data analysis is complex and could be overwhelming for researchers who are not familiar with the process. Here, we outline the analysis pipeline and describe some of the most commonly used principles and tools for analyzing NGS data for disease gene identification.

Evidence of Intrusion of a Rare Species, Peristedion liorhynchus, into Korean Waters Based on High-throughput Sequencing of the Mixed Fish Eggs (희귀종 남방황성대(Peristedion liorhynchus)의 한국해 유입 증거 혼합 어란의 대용량 염기서열 분석법(high-throughput sequencing)으로 발견)

  • Choi, Hae-young;Chin, Byung-sun;Park, Gyung-soo;Kim, Sung
    • Korean Journal of Ichthyology
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    • v.34 no.1
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    • pp.8-15
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    • 2022
  • The appearance of larvae of a rare species, Peristedion liorhynchus, in Korean waters is suggestive of spawning or adult intrusion. We conducted high-throughput sequencing (HTS) on 31,776 pelagic fish eggs collected from 123 stations off the Korean Peninsula during May to August in 2013, 2014 and 2017. A total of 21,621,874 HTS reads were mapped onto the P. liorhynchus COX1 reference sequence. Three consensus sequences (313 bp) were constructed from the three samples, respectively, off Uljin and Goeje Islands in May and off Ulsan in July. These samples were formed a clade with P. liorhynchus in the maximum likelihood tree of Peristedion. The average genetic distance within the P. liorhynchus clade (0.0054±0.0046) was less than that among clades (0.1475±0.0396). The results indicate that the HTS analysis of mixed fish eggs is useful for monitoring the intrusion of rare species such as P. liorhynchus in Korean waters.

High-throughput identification of chrysanthemum gene function and expression: An overview and an effective proposition

  • Nguyen, Toan Khac;Lim, Jin Hee
    • Journal of Plant Biotechnology
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    • v.48 no.3
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    • pp.139-147
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    • 2021
  • Since whole-genome duplication (WGD) of diploid Chrysanthemum nankingense and de novo assembly whole-genome of C. seticuspe have been obtained, they have afforded to perceive the diversity evolution and gene discovery in the improved investigation of chrysanthemum breeding. The robust tools of high-throughput identification and analysis of gene function and expression produce their vast importance in chrysanthemum genomics. However, the gigantic genome size and heterozygosity are also mentioned as the major obstacles preventing the chrysanthemum breeding practices and functional genomics analysis. Nonetheless, some of technological contemporaries provide scientific efficient and promising solutions to diminish the drawbacks and investigate the high proficient methods for generous phenotyping data obtaining and system progress in future perspectives. This review provides valuable strategies for a broad overview about the high-throughput identification, and molecular analysis of gene function and expression in chrysanthemum. We also contribute the efficient proposition about specific protocols for considering chrysanthemum genes. In further perspective, the proper high-throughput identification will continue to advance rapidly and advertise the next generation in chrysanthemum breeding.

A Visualization Tool for Computational Analysis of DNA Methylation Level Using Bisulfite Sequencing Data

  • Tae, Hong-Seok
    • Genomics & Informatics
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    • v.9 no.3
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    • pp.136-137
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    • 2011
  • Methylation of cytosine is a post-synthesis modification that does not affect the primary DNA sequence but greatly influences gene expression level and phenotypes of an organism. As high-throughput sequencing of bisulfite-treated DNA is the most efficient method to identify methylated sites, several tools to map sequencing reads on a reference are available. But tools to visualize and to interpret the methylation level of methylation sites are currently insufficient. Herein, we present a novel tool to visualize the methylation level of CpG sites.

Recent Advances in the Clinical Application of Next-Generation Sequencing

  • Ki, Chang-Seok
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.24 no.1
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    • pp.1-6
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    • 2021
  • Next-generation sequencing (NGS) technologies have changed the process of genetic diagnosis from a gene-by-gene approach to syndrome-based diagnostic gene panel sequencing (DPS), diagnostic exome sequencing (DES), and diagnostic genome sequencing (DGS). A priori information on the causative genes that might underlie a genetic condition is a prerequisite for genetic diagnosis before conducting clinical NGS tests. Theoretically, DPS, DES, and DGS do not require any information on specific candidate genes. Therefore, clinical NGS tests sometimes detect disease-related pathogenic variants in genes underlying different conditions from the initial diagnosis. These clinical NGS tests are expensive, but they can be a cost-effective approach for the rapid diagnosis of rare disorders with genetic heterogeneity, such as the glycogen storage disease, familial intrahepatic cholestasis, lysosomal storage disease, and primary immunodeficiency. In addition, DES or DGS may find novel genes that that were previously not linked to human diseases.