• 제목/요약/키워드: High-throughput analysis

검색결과 555건 처리시간 0.036초

Validation of exercise-response genes in skeletal muscle cells of Thoroughbred racing horses

  • Kim, Doh Hoon;Lee, Hyo Gun;Sp, Nipin;Kang, Dong Young;Jang, Kyoung-Jin;Lee, Hak Kyo;Cho, Byung-Wook;Yang, Young Mok
    • Animal Bioscience
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    • 제34권1호
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    • pp.134-142
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    • 2021
  • Objective: To understand the athletic characteristics of Thoroughbreds, high-throughput analysis has been conducted using horse muscle tissue. However, an in vitro system has been lacking for studying and validating genes from in silico data. The aim of this study is to validate genes from differentially expressed genes (DEGs) of our previous RNA-sequencing data in vitro. Also, we investigated the effects of exercise-induced stress including heat, oxidative, hypoxic and cortisol stress on horse skeletal muscle derived cells with the top six upregulated genes of DEGs. Methods: Enriched pathway analysis was conducted using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool with upregulated genes in horse skeletal muscle tissue after exercise. Among the candidates, the top six genes were analysed through geneMANIA to investigate gene networks. Muscle cells derived from neonatal horse skeletal tissue were maintained and subjected to exercise-related stressors. Transcriptional changes in the top six genes followed by stressors were investigated using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Results: The inflammation response pathway was the most commonly upregulated pathway after horse exercise. Under non-cytotoxic conditions of exercise-related stressors, the transcriptional response of the top six genes was different among types of stress. Oxidative stress yielded the most similar expression pattern to DEGs. Conclusion: Our results indicate that transcriptional change after horse exercise in skeletal muscle tissue strongly relates to stress response. The qRT-PCR results showed that stressors contribute differently to the transcriptional regulation. These results would be valuable information to understand horse exercise in the stress aspect.

Comparative Microbiome Analysis of Three Species of Laboratory-Reared Periplaneta Cockroaches

  • Lee, Seogwon;Kim, Ju Yeong;Yi, Myung-hee;Lee, In-Yong;Lee, Won-Ja;Moon, Hye Su;Yong, Dongeun;Yong, Tai-Soon
    • Parasites, Hosts and Diseases
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    • 제58권5호
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    • pp.537-542
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    • 2020
  • Cockroaches inhabit various habitats, which will influence their microbiome. Although the microbiome can be influenced by the diet and environmental factors, it can also differ between species. Therefore, we conducted 16S rDNA-targeted high-throughput sequencing to evaluate the overall bacterial composition of the microbiomes of 3 cockroach species, Periplaneta americana, P. japonica, and P. fuliginosa, raised in laboratory for several generations under the same conditions. The experiments were conducted using male adult cockroaches. The number of operational taxonomic units (OTUs) was not significantly different among the 3 species. With regard to the Shannon and Pielou indexes, higher microbiome values were noted in P. americana than in P. japonica and P. fuliginosa. Microbiome composition was also evaluated, with endosymbionts accounting for over half of all OTUs in P. japonica and P. fuliginosa. Beta diversity analysis further showed that P. japonica and P. fuliginosa had similar microbiome composition, which differed from that of P. americana. However, we also identified that P. japonica and P. fuliginosa host distinct OTUs. Thus, although microbiome compositions may vary based on multiple conditions, it is possible to identify distinct microbiome compositions among different Periplaneta cockroach species, even when the individuals are reared under the same conditions.

Long non-coding RNAs in Sus scrofa ileum under starvation stress

  • Wang, Shu;Ma, Yi Jia;Li, Yong Shi;Ge, Xu Sheng;Lu, Chang;Cai, Chun Bo;Yang, Yang;Zhao, Yan;Liang, Guo Ming;Guo, Xiao Hong;Cao, Guo Qing;Li, Bu Gao;Gao, Peng Fei
    • Animal Bioscience
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    • 제35권7호
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    • pp.975-988
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    • 2022
  • Objective: In this study, we aimed to identify long non-coding RNAs (lncRNAs) that play important roles in starvation stress, analyze their functions, and discover potential molecular targets to alleviate starvation stress to provide a theoretical reference for subsequent in-depth research. Methods: We generated a piglet starvation stress animal model. Nine Yorkshire weaned piglets were randomly divided into a long-term starvation stress group (starved for 72 h), short-term starvation stress group (starved for 48 h), and the control group. LncRNA libraries were constructed using high-throughput sequencing of piglet ileums. Results: We obtained 11,792 lncRNAs, among which, 2,500 lncRNAs were novel. In total, 509 differentially expressed (DE)lncRNAs were identified in this study. Target genes of DElncRNAs were predicted via cis and trans interactions, and functional and pathway analyses were performed. Gene ontology functions and Kyoto encyclopedia of genes and genomes analysis revealed that lncRNA-targeted genes mainly participated in metabolic pathways, cellular processes, immune system processes, digestive systems, and transport activities. To reveal the mechanism underlying starvation stress, the interaction network between lncRNAs and their targets was constructed based on 26 DElncRNAs and 72 DEmRNAs. We performed an interaction network analysis of 121 DElncRNA-DEmRNA pairs with a Pearson correlation coefficient greater than 0.99. Conclusion: We found that MSTRG.19894.13, MSTRG.16726.3, and MSTRG.12176.1 might play important roles in starvation stress. This study not only generated a library of enriched lncRNAs in piglets, but its outcomes also provide a strong foundation to screen key lncRNAs involved in starvation stress and a reference for subsequent in-depth research.

Transcriptome Analysis of Antrodia cinnamomea Mycelia from Different Wood Substrates

  • Jiao-Jiao Chen;Zhang Zhang;Yi Wang;Xiao-Long Yuan;Juan Wang;Yu-Ming Yang;Yuan Zheng
    • Mycobiology
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    • 제51권1호
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    • pp.49-59
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    • 2023
  • Antrodia cinnamomea, an edible and medicinal fungus with significant economic value and application prospects, is rich in terpenoids, benzenoids, lignans, polysaccharides, and benzoquinone, succinic and maleic derivatives. In this study, the transcriptome of A. cinnamomea cultured on the wood substrates of Cinnamomum glanduliferum (YZM), C. camphora (XZM), and C. kanehirae (NZM) was sequenced using the high-throughput sequencing technology Illumina HiSeq 2000, and the data were assembled by de novo strategy to obtain 78,729 Unigenes with an N50 of 4,463 bp. Compared with public databases, about 11,435, 6,947, and 5,994 Unigenes were annotated to the Non-Redundant (NR), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genome (KEGG), respectively. The comprehensive analysis of the mycelium terpene biosynthesis-related genes in A. cinnamomea revealed that the expression of acetyl-CoA acetyltransferase (AACT), acyl-CoA dehydrogenase (MCAD), 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA), mevalonate pyrophosphate decarboxylase (MVD), and isopentenyl diphosphate isomerase (IDI) was significantly higher on NZM compared to the other two wood substrates. Similarly, the expression of geranylgeranyltransferase (GGT) was significantly higher on YZM compared to NZM and XZM, and the expression of farnesyl transferase (FTase) was significantly higher on XZM. Furthermore, the expressions of 2,3-oxidized squalene cyclase (OCS), squalene synthase (SQS), and squalene epoxidase (SE) were significantly higher on NZM. Overall, this study provides a potential approach to explore the molecular regulation mechanism of terpenoid biosynthesis in A. cinnamomea.

고속/고집적 ATM Switching MCM 구현을 위한 설계 Library 구축 밀 시험성 확보 (Generation of Testability on High Density /Speed ATM MCM and Its Library Build-up using BCB Thin Film Substrate)

  • 김승곤;지성근;우준환;임성완
    • 마이크로전자및패키징학회지
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    • 제6권2호
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    • pp.37-43
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    • 1999
  • 대용량, 고속 정보처리가 요구되는 시스템의 모듈은 데이터 처리의 고속성 및 회로의 고집적이 가능한 MCM의 형태로 구현되어 ATM, GPS 및 PCS 등의 분야에 광범위하게 응용되고 있다. 3개의 칩으로 구성되고 2.48 Gbps의 데이터 처리용량을 가지는 ATM Switching 모듈을 기판 Size 48$\times$48mm2, Cu/PhotoBCB를 이용한 10 Multi-Layer 그리고 491 Pin PBGA 형태의 MCM을 개발하였다. MCM 개발을 위해 요구되는 기술로는 고속신호 특성구현을 위해 Interconnect Characterization을 통한 기판/ 패키지의 설계 파라미터 추출, 고밀도 MCM 에서의 방열처리 그리고 MCM 개발의 가장 난점중의 하나인 시험성 확보를 들 수 있다. ATM Switching MCM 개발을 위해 MCM-D 기판에서의 Interconnect Characterization을 통한 신호지연, 비아특성, 신호간섭(Cross-talk) 파라미터 등을 추출하였다. 고집적 구조에서 15.6Watt의 방열처리를 위해 열 해석을 진행하고 기판에 열 비아 1.108개를 형성하고 패키지 전체에 $85^{\circ}C$ 이하 유지조건의 방열처리를 하였다. 마지막으로 시험성 확보를 위해 미세 간격 프로빙을 통한 기판 검증 및 복잡한 패키지/어셈블리 공정검증을 위해 Boundary Scan Test(BST)를 적용하여 효과적이고 비용 절감형의 제품을 개발하였다.

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Genomic and Proteomic Analysis of Microbial Function in the Gastrointestinal Tract of Ruminants - Review -

  • White, Bryan A.;Morrison, Mark
    • Asian-Australasian Journal of Animal Sciences
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    • 제14권6호
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    • pp.880-884
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    • 2001
  • Rumen microbiology research has undergone several evolutionary steps: the isolation and nutritional characterization of readily cultivated microbes; followed by the cloning and sequence analysis of individual genes relevant to key digestive processes; through to the use of small subunit ribosomal RNA (SSU rRNA) sequences for a cultivation-independent examination of microbial diversity. Our knowledge of rumen microbiology has expanded as a result, but the translation of this information into productive alterations of ruminal function has been rather limited. For instance, the cloning and characterization of cellulase genes in Escherichia coli has yielded some valuable information about this complex enzyme system in ruminal bacteria. SSU rRNA analyses have also confirmed that a considerable amount of the microbial diversity in the rumen is not represented in existing culture collections. However, we still have little idea of whether the key, and potentially rate-limiting, gene products and (or) microbial interactions have been identified. Technologies allowing high throughput nucleotide and protein sequence analysis have led to the emergence of two new fields of investigation, genomics and proteomics. Both disciplines can be further subdivided into functional and comparative lines of investigation. The massive accumulation of microbial DNA and protein sequence data, including complete genome sequences, is revolutionizing the way we examine microbial physiology and diversity. We describe here some examples of our use of genomics- and proteomics-based methods, to analyze the cellulase system of Ruminococcus flavefaciens FD-1 and explore the genome of Ruminococcus albus 8. At Illinois, we are using bacterial artificial chromosome (BAC) vectors to create libraries containing large (>75 kbases), contiguous segments of DNA from R. flavefaciens FD-1. Considering that every bacterium is not a candidate for whole genome sequencing, BAC libraries offer an attractive, alternative method to perform physical and functional analyses of a bacterium's genome. Our first plan is to use these BAC clones to determine whether or not cellulases and accessory genes in R. flavefaciens exist in clusters of orthologous genes (COGs). Proteomics is also being used to complement the BAC library/DNA sequencing approach. Proteins differentially expressed in response to carbon source are being identified by 2-D SDS-PAGE, followed by in-gel-digests and peptide mass mapping by MALDI-TOF Mass Spectrometry, as well as peptide sequencing by Edman degradation. At Ohio State, we have used a combination of functional proteomics, mutational analysis and differential display RT-PCR to obtain evidence suggesting that in addition to a cellulosome-like mechanism, R. albus 8 possesses other mechanisms for adhesion to plant surfaces. Genome walking on either side of these differentially expressed transcripts has also resulted in two interesting observations: i) a relatively large number of genes with no matches in the current databases and; ii) the identification of genes with a high level of sequence identity to those identified, until now, in the archaebacteria. Genomics and proteomics will also accelerate our understanding of microbial interactions, and allow a greater degree of in situ analyses in the future. The challenge is to utilize genomics and proteomics to improve our fundamental understanding of microbial physiology, diversity and ecology, and overcome constraints to ruminal function.

RNA-seq을 이용한 참당귀의 전사체 분석과 꽃 색 관련 유전자 분석 (Transcriptome and Flower Color Related Gene Analysis in Angelica gigas Nakai Using RNA-Seq)

  • 김남수;정대희;박홍우;박윤미;전권석;김만조
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2019년도 추계학술대회
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    • pp.73-73
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    • 2019
  • Angelica gigas Nakai (Korean danggui), a member of the Umbelliferae family, is a Korean traditional medicinal plant whose roots have been used for treating gynecological diseases. Transcriptomics is the study of the transcriptome, which is the complete set of RNA transcripts that are produced by the genome, using high-throughput methods, such as microarray analysis. In this study, transcriptome analysis of A.gigas Nakai was carried out. Transcriptome sequencing and assembly was carried out by using Illumina Hiseq 2500, Velvet and Oases. A total of 109,591,555 clean reads of A. gigas Nakai was obtained after trimming adaptors. The obtained reads were assembled with an average length of 1,154 bp, a maximum length of 13,166 bp, a minimum length of 200 pb, and N50 of 1,635 bp. Functional annotation and classification was performed using NCBI NR, InterprotScan, KOG, KEGG and GO. Candidate genes for phenylpropanoid biosynthesis were obtanied from A.gigas transcriptome and the genes and its proteins were confirmed through the NCBI homology BLAST searches, revealing high identity with other othologous genes and proteins from various plants pecies. In RNA sequencing analysis using an Illumina Next-Seq2500 sequencer, we identified a total 94,930 transcripts and annotated 71,281 transcripts, which provide basic information for further research in A.gigas Nakai. Our transcriptome data reveal that several differentially expressed genes related to flower color in A.gigas Nakai. The results of this research provide comprehensive information on the A.gigas Nakai genome and enhance our understanding of the flower color related gene pathways in this plant.

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Genome characterization and mutation analysis of human influenza A virus in Thailand

  • Rattanaburi, Somruthai;Sawaswong, Vorthon;Nimsamer, Pattaraporn;Mayuramart, Oraphan;Sivapornnukul, Pavaret;Khamwut, Ariya;Chanchaem, Prangwalai;Kongnomnan, Kritsada;Suntronwong, Nungruthai;Poovorawan, Yong;Payungporn, Sunchai
    • Genomics & Informatics
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    • 제20권2호
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    • pp.21.1-21.14
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    • 2022
  • The influenza A viruses have high mutation rates and cause a serious health problem worldwide. Therefore, this study focused on genome characterization of the viruses isolated from Thai patients based on the next-generation sequencing technology. The nasal swabs were collected from patients with influenza-like illness in Thailand during 2017-2018. Then, the influenza A viruses were detected by reverse transcription-quantitative polymerase chain reaction and isolated by MDCK cells. The viral genomes were amplified and sequenced by Illumina MiSeq platform. Whole genome sequences were used for characterization, phylogenetic construction, mutation analysis and nucleotide diversity of the viruses. The result revealed that 90 samples were positive for the viruses including 44 of A/H1N1 and 46 of A/H3N2. Among these, 43 samples were successfully isolated and then the viral genomes of 25 samples were completely amplified. Finally, 17 whole genomes of the viruses (A/H1N1, n=12 and A/H3N2, n=5) were successfully sequenced with an average of 232,578 mapped reads and 1,720 genome coverage per sample. Phylogenetic analysis demonstrated that the A/H1N1 viruses were distinguishable from the recommended vaccine strains. However, the A/H3N2 viruses from this study were closely related to the recommended vaccine strains. The nonsynonymous mutations were found in all genes of both viruses, especially in hemagglutinin (HA) and neuraminidase (NA) genes. The nucleotide diversity analysis revealed negative selection in the PB1, PA, HA, and NA genes of the A/H1N1 viruses. High-throughput data in this study allow for genetic characterization of circulating influenza viruses which would be crucial for preparation against pandemic and epidemic outbreaks in the future.

Identification and functional prediction of long noncoding RNAs related to intramuscular fat content in Laiwu pigs

  • Wang, Lixue;Xie, Yuhuai;Chen, Wei;Zhang, Yu;Zeng, Yongqing
    • Animal Bioscience
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    • 제35권1호
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    • pp.115-125
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    • 2022
  • Objective: Intramuscular fat (IMF) is a critical economic indicator of pork quality. Studies on IMF among different pig breeds have been performed via high-throughput sequencing, but comparisons within the same pig breed remain unreported. Methods: This study was performed to explore the gene profile and identify candidate long noncoding RNA (lncRNAs) and mRNAs associated with IMF deposition among Laiwu pigs with different IMF contents. Based on the longissimus dorsi muscle IMF content, eight pigs from the same breed and management were selected and divided into two groups: a high IMF (>12%, H) and low IMF group (<5%, L). Whole-transcriptome sequencing was performed to explore the differentially expressed (DE) genes between these two groups. Results: The IMF content varied greatly among Laiwu pig individuals (2.17% to 13.93%). Seventeen DE lncRNAs (11 upregulated and 6 downregulated) and 180 mRNAs (112 upregulated and 68 downregulated) were found. Gene Ontology analysis indicated that the following biological processes played an important role in IMF deposition: fatty acid and lipid biosynthetic processes; the extracellular signal-regulated kinase cascade; and white fat cell differentiation. In addition, the peroxisome proliferator-activated receptor, phosphatidylinositol-3-kinase-protein kinase B, and mammalian target of rapamycin pathways were enriched in the pathway analysis. Intersection analysis of the target genes of DE lncRNAs and mRNAs revealed seven candidate genes associated with IMF accumulation. Five DE lncRNAs and 20 DE mRNAs based on the pig quantitative trait locus database were identified and shown to be related to fat deposition. The expression of five DE lncRNAs and mRNAs was verified by quantitative real time polymerase chain reaction (qRT-PCR). The results of qRT-PCR and RNA-sequencing were consistent. Conclusion: These results demonstrated that the different IMF contents among pig individuals may be due to the DE lncRNAs and mRNAs associated with lipid droplets and fat deposition.

ChIP-seq 라이브러리 제작 및 Galaxy 플랫폼을 이용한 NGS 데이터 분석 (ChIP-seq Library Preparation and NGS Data Analysis Using the Galaxy Platform)

  • 강유진;강진;김예운;김애리
    • 생명과학회지
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    • 제31권4호
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    • pp.410-417
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    • 2021
  • NGS (Next-generation sequencing), 즉 차세대염기서열분석은 유전체 수준의 방대한 DNA를 작은 절편으로 만들어서 그 절편들의 염기서열들을 동시에 읽어내는 기법이다. 현재 다양한 생명체의 유전체 염기서열 분석부터 cDNA (complementary DNA)나 ChIPed DNA (chromatin immunoprecipitated DNA)를 분석하는데 이 NGS 기법을 사용하고 있으며, 이 때 얻어진 데이터를 적절히 처리하고 분석하는 일은 생물학적으로 유의미한 결과를 얻기 위하여 중요하다. 하지만 대용량 데이터의 저장 및 활용, 그리고 컴퓨터 프로그래밍 바탕의 데이터 분석은 실험을 수행하는 일반 생물학자들에게 어려운 일이다. Galaxy 플랫폼은 다양한 NGS 데이터 분석 tool을 무료로 제공하는 웹 서비스이며, 생물정보학이나 프로그래밍에 대한 전문지식이 없는 연구자들에게 웹 브라우저만을 이용하여 데이터를 분석할 수 있는 환경을 제공한다. 본 논문에서는 ChIP-seq (chromatin immunoprecipitation-sequencing) 수행을 위한 라이브러리 제작 과정 및 Galaxy 플랫폼을 이용한 ChIP-seq 데이터 분석 과정을 설명하고, K562 세포주에서 수행한 히스톤 H3K4me1 ChIP-seq 결과가 public 데이터와 일치함을 보여준다. 따라서 Galaxy 플랫폼을 활용한 NGS 데이터 분석은 생물정보학에 대한 손쉬운 접근 방법을 제공할 것으로 기대된다.