• Title/Summary/Keyword: Transcriptome profile

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Transcriptome Profiling and In Silico Analysis of the Antimicrobial Peptides of the Grasshopper Oxya chinensis sinuosa

  • Kim, In-Woo;Markkandan, Kesavan;Lee, Joon Ha;Subramaniyam, Sathiyamoorthy;Yoo, Seungil;Park, Junhyung;Hwang, Jae Sam
    • Journal of Microbiology and Biotechnology
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    • v.26 no.11
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    • pp.1863-1870
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    • 2016
  • Antimicrobial peptides/proteins (AMPs) are present in all types of organisms, from microbes and plants to vertebrates and invertebrates such as insects. The grasshopper Oxya chinensis sinuosa is an insect species that is widely consumed around the world for its broad medicinal value. However, the lack of available genetic information for this species is an obstacle to understanding the full potential of its AMPs. Analysis of the O. chinensis sinuosa transcriptome and expression profile is essential for extending the available genetic information resources. In this study, we determined the whole-body transcriptome of O. chinensis sinuosa and analyzed the potential AMPs induced by bacterial immunization. A high-throughput RNA-Seq approach generated 94,348 contigs and 66,555 unigenes. Of these unigenes, 36,032 (54.14%) matched known proteins in the NCBI database in a BLAST search. Functional analysis demonstrated that 38,219 unigenes were clustered into 5,499 gene ontology terms. In addition, 26 cDNAs encoding novel AMPs were identified by an in silico approach using public databases. Our transcriptome dataset and AMP profile greatly improve our understanding of O. chinensis sinuosa genetics and provide a huge number of gene sequences for further study, including genes of known importance and genes of unknown function.

Initial Transcriptome Profile of Rainbow Trout (Oncorhynchus mykiss) Liver

  • Kim Soonhag
    • Fisheries and Aquatic Sciences
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    • v.6 no.1
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    • pp.41-44
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    • 2003
  • Ninety nine random complementary DNA clones from rainbow trout (Oncorhynchus mykiss) liver cDNA library were partially sequenced as one approach to analyze the transcribed sequences of its genome. Of the sequence generated, $64.0\%$ of the ESTs were represented by 29 known genes. Thirty six clones of the unknown gene products potentially represent 31 unique genes. Serum albumin $(16.1\%)$ was the most abundant in the liver. The structural genes in the liver $(19\%)$ were the highly expressed functional category. This research is helpful to understand tissue specific gene expression profile and basic relationship between tissue and functional categories of the genes.

Sequencing and Characterization of Divergent Marbling Levels in the Beef Cattle (Longissimus dorsi Muscle) Transcriptome

  • Chen, Dong;Li, Wufeng;Du, Min;Wu, Meng;Cao, Binghai
    • Asian-Australasian Journal of Animal Sciences
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    • v.28 no.2
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    • pp.158-165
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    • 2015
  • Marbling is an important trait regarding the quality of beef. Analysis of beef cattle transcriptome and its expression profile data are essential to extend the genetic information resources and would support further studies on beef cattle. RNA sequencing was performed in beef cattle using the Illumina High-Seq2000 platform. Approximately 251.58 million clean reads were generated from a high marbling (H) group and low marbling (L) group. Approximately 80.12% of the 19,994 bovine genes (protein coding) were detected in all samples, and 749 genes exhibited differential expression between the H and L groups based on fold change (>1.5-fold, p<0.05). Multiple gene ontology terms and biological pathways were found significantly enriched among the differentially expressed genes. The transcriptome data will facilitate future functional studies on marbling formation in beef cattle and may be applied to improve breeding programs for cattle and closely related mammals.

De novo Assembly and Analysis of Amur Sturgeon (Acipenser schrenckii) Transcriptome in Response to Mycobacterium Marinum Infection to Identify Putative Genes Involved in Immunity

  • Zhang, Qianqian;Wang, Xiehao;Zhang, Defeng;Long, Meng;Wu, Zhenbing;Feng, Yuqing;Hao, Jingwen;Wang, Shuyi;Liao, Qian;Li, Aihua
    • Journal of Microbiology and Biotechnology
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    • v.29 no.8
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    • pp.1324-1334
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    • 2019
  • Fish mycobacteriosis is a common bacterial disease in many species of freshwater and marine fish and has caused severe loss of fish production. Mycobacterium marinum has been the most prevalent pathogen observed in several outbreaks of mycobacteriosis of farmed sturgeons in China. However, the immune responses and pathology of sturgeons in mycobacterial infection are rarely studied. Therefore, we used the Illumina RNA-seq method to analyze the transcriptome profile of Acipenser schrenckii challenged with Mycobacterium marinum. To begin, 168,220 non-redundant contigs were acquired from the infection and control groups, and among these, 33,225 contigs have acquired annotations. A total of 4,043 differently expressed (DE) contigs between the two groups were identified, and among these, 2479 were up-regulated and 1564 were down-regulated in the infected fish. A total of 1,340 DE contigs with acquired annotations in KEGG were enriched for 124 pathways including the TNF signaling pathway, and the Toll-like receptor signaling pathway. The roles of DE genes involved in significant pathways and other processes were discussed. The 2,209 DE contigs that have yet to acquire proper annotation may represent candidate genes associated with infection in sturgeons and are expected to serve as immunogenetic resources for further study. To our best knowledge, this is the first transcriptome study on sturgeons under bacterial infection.

Effect of dietary betaine supplementation on the liver transcriptome profile in broiler chickens under heat stress conditions

  • Deok Yun Kim;Gi Ppeum Han;Chiwoong Lim;Jun-Mo Kim;Dong Yong Kil
    • Animal Bioscience
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    • v.36 no.11
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    • pp.1632-1646
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    • 2023
  • Objective: The objective of the present study was to investigate the effect of dietary betaine (BT) supplementation on the hepatic transcriptome profiles in broiler chickens raised under heat stress (HS) conditions. Methods: A total of 180 (21-d-old) Ross 308 male broiler chicks were allotted to 1 of 3 treatment groups with 6 replicated cages in a completely randomized design. One group was kept under thermoneutral conditions at all times and was fed a basal diet (PC). Other 2 groups were exposed to a cyclic heat stress condition. One of the 2 groups under heat stress conditions was fed the basal diet as a negative control (NC), whereas the other group was fed the basal diet supplemented with 0.2% BT. All chickens were provided with diets and water ad libitum for 21 d. Following the experiment, the liver samples were collected for RNA sequencing analysis. Results: Broiler chickens in NC and BT group had decreased (p<0.05) growth performance. In the transcriptome analysis, the number of differentially expressed genes were identified in the liver by HS conditions and dietary BT supplementation. In the comparison between NC and PC treatments, genes related to energy and nucleic acid metabolism, amino acid metabolism, and immune system were altered by HS, which support the reason why heat-stressed poultry had decreased growth performance. In the comparison between NC and BT treatments, genes related to lipid metabolism, carbohydrate metabolism, and immune system were differently expressed under HS conditions. Conclusion: HS negatively impacts various physiological processes, including DNA replication, metabolism of amino acids, lipids, and carbohydrates, and cell cycle progression in broiler chickens. Dietary BT supplementation, however, offers potential counteractive effects by modulating liver function, facilitating gluconeogenesis, and enhancing immune systems. These findings provide a basis for understanding molecular responses by HS and the possible benefits of dietary BT supplementation in broiler chickens exposed to HS.

Transcriptome Profiling of Kidney Tissue from FGS/kist Mice, the Korean Animal Model of Focal Segmental Glomerulosclerosis (국소성 분절성 사구체 신병증의 동물 모델 (FGS/kist 생쥐) 신 조직의 유전자 발현 양상)

  • Kang, Hee-Gyung;Lee, Byong-Sop;Lee, Chul-Ho;Ha, Il-Soo;Cheong, Hae-Il;Choi, Yong
    • Childhood Kidney Diseases
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    • v.15 no.1
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    • pp.38-48
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    • 2011
  • Purpose: Focal segmental glomerulosclerosis (FSGS) is the most common glomerulopathy causing pediatric renal failure. Since specific treatment targeting the etiology and pathophysiology of primary FSGS is yet elusive, the authors explored the pathophysiology of FSGS by transcriptome analysis of the disease using an animal model. Methods: FGS/kist strain, a mouse model of primary FSGS, and RFM/kist strain, as control and the parent strain of FGS/kist, were used. Kidney tissues were harvested and isolated renal cortex was used to extract mRNA, which was run on AB 1700 mouse microarray chip after reverse transcription to get the transcriptome profile. Results: Sixty two genes were differentially expressed in FGS/kist kidney tissue compared to the control. Those genes were related to cell cycle/cell death, immune reaction, and lipid metabolism/vasculopathy, and the key molecules of their networks were TNF, IL-6/4, IFN${\gamma}$, TP53, and PPAR${\gamma}$. Conclusion: This study confirmed that renal cell death, immune system activation with subsequent fibrosis, and lipid metabolism-related early vasculopathy were involved in the pathophysiology of FSGS. In addition, the relevance of methodology used in this study, namely transcriptome profiling, and Korean animal model of FGS/kist was validated. Further study would reveal novel pathophysiology of FSGS for new therapeutic targets.

Deep Learning Approach Based on Transcriptome Profile for Data Driven Drug Discovery

  • Eun-Ji Kwon;Hyuk-Jin Cha
    • Molecules and Cells
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    • v.46 no.1
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    • pp.65-67
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    • 2023
  • SMILES (simplified molecular-input line-entry system) information of small molecules parsed by one-hot array is passed to a convolutional neural network called black box. Outputs data representing a gene signature is then matched to the genetic signature of a disease to predict the appropriate small molecule. Efficacy of the predicted small molecules is examined by in vivo animal models. GSEA, gene set enrichment analysis.

Stage specific transcriptome profiles at cardiac lineage commitment during cardiomyocyte differentiation from mouse and human pluripotent stem cells

  • Cho, Sung Woo;Kim, Hyoung Kyu;Sung, Ji Hee;Han, Jin
    • BMB Reports
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    • v.54 no.9
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    • pp.464-469
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    • 2021
  • Cardiomyocyte differentiation occurs through complex and finely regulated processes including cardiac lineage commitment and maturation from pluripotent stem cells (PSCs). To gain some insight into the genome-wide characteristics of cardiac lineage commitment, we performed transcriptome analysis on both mouse embryonic stem cells (mESCs) and human induced PSCs (hiPSCs) at specific stages of cardiomyocyte differentiation. Specifically, the gene expression profiles and the protein-protein interaction networks of the mESC-derived platelet-derived growth factor receptor-alpha (PDGFRα)+ cardiac lineage-committed cells (CLCs) and hiPSC-derived kinase insert domain receptor (KDR)+ and PDGFRα+ cardiac progenitor cells (CPCs) at cardiac lineage commitment were compared with those of mesodermal cells and differentiated cardiomyocytes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses revealed that the genes significantly upregulated at cardiac lineage commitment were associated with responses to organic substances and external stimuli, extracellular and myocardial contractile components, receptor binding, gated channel activity, PI3K-AKT signaling, and cardiac hypertrophy and dilation pathways. Protein-protein interaction network analysis revealed that the expression levels of genes that regulate cardiac maturation, heart contraction, and calcium handling showed a consistent increase during cardiac differentiation; however, the expression levels of genes that regulate cell differentiation and multicellular organism development decreased at the cardiac maturation stage following lineage commitment. Additionally, we identified for the first time the protein-protein interaction network connecting cardiac development, the immune system, and metabolism during cardiac lineage commitment in both mESC-derived PDGFRα+ CLCs and hiPSC-derived KDR+PDGFRα+ CPCs. These findings shed light on the regulation of cardiac lineage commitment and the pathogenesis of cardiometabolic diseases.

Bile Ductal Transcriptome Identifies Key Pathways and Hub Genes in Clonorchis sinensis-Infected Sprague-Dawley Rats

  • Yoo, Won Gi;Kang, Jung-Mi;Le, Huong Giang;Pak, Jhang Ho;Hong, Sung-Jong;Sohn, Woon-Mok;Na, Byoung-Kuk
    • Parasites, Hosts and Diseases
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    • v.58 no.5
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    • pp.513-525
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    • 2020
  • Clonorchis sinensis is a food-borne trematode that infects more than 15 million people. The liver fluke causes clonorchiasis and chronical cholangitis, and promotes cholangiocarcinoma. The underlying molecular pathogenesis occurring in the bile duct by the infection is little known. In this study, transcriptome profile in the bile ducts infected with C. sinensis were analyzed using microarray methods. Differentially expressed genes (DEGs) were 1,563 and 1,457 at 2 and 4 weeks after infection. Majority of the DEGs were temporally dysregulated at 2 weeks, but 519 DEGs showed monotonically changing expression patterns that formed seven distinct expression profiles. Protein-protein interaction (PPI) analysis of the DEG products revealed 5 sub-networks and 10 key hub proteins while weighted co-expression network analysis (WGCNA)-derived gene-gene interaction exhibited 16 co-expression modules and 13 key hub genes. The DEGs were significantly enriched in 16 Kyoto Encyclopedia of Genes and Genomes pathways, which were related to original systems, cellular process, environmental information processing, and human diseases. This study uncovered a global picture of gene expression profiles in the bile ducts infected with C. sinensis, and provided a set of potent predictive biomarkers for early diagnosis of clonorchiasis.

Transcriptomic Profile Analysis of Jeju Buckwheat using RNA-Seq Data (NA-Seq를 이용한 제주산 메밀의 발아초기 전사체 프로파일 분석)

  • Han, Song-I;Chung, Sung Jin;Oh, Dae-Ju;Jung, Yong-Hwan;Kim, Chan-Shick;Kim, Jae-hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.537-545
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    • 2018
  • In this study, transcriptome analysis was conducted to collect various information from Fagopyrum esculentum and Fagopyrum tataricum during the early germination stage. Total RNA was extracted from the seeds and at 12, 24, and 36 hrs after germination of Jeju native Fagopyrum esculentum and Fagopyrum tataricum and sequenced using the Illumina Hiseq 2000 platform. Raw data analysis was conducted using the Dynamic Trim and Lengths ORT programs in the SolexaQA package, and assembly and annotation were performed. Based on RNA-seq raw data, we obtained 16.5 Gb and 16.2 Gb of transcriptome data corresponding to about 84.2% and 81.5% of raw data, respectively. De novo assembly and annotation revealed 43,494 representative transcripts corresponding to 47.5Mb. Among them, 23,165 sequences were shown to have similar sequences with annotation DB. Moreover, Gene Ontology (GO) analysis of buckwheat representative transcripts confirmed that the gene is involved in metabolic processes (49.49%) of biological processes, as well as cell function (46.12%) in metabolic process, and catalytic activity (80.43%) in molecular function In the case of gibberellin receptor GID1C, which is related to germination of seeds, the expression levels increased with time after germination in both F. esculentum and F. tataricum. The expression levels of gibberellin 20-oxidase 1 were increased within 12 hrs of gemination in F. esculentum but continuously until 36 hrs in F. tataricum. This buckwheat transcriptome profile analysis of the early germination stage will help to identify the mechanism causing functional and morphological differences between species.