• 제목/요약/키워드: Transcriptome analysis

검색결과 333건 처리시간 0.026초

Global Functional Analysis of Butanol-Sensitive Escherichia coli and Its Evolved Butanol-Tolerant Strain

  • Jeong, Haeyoung;Lee, Seung-Won;Kim, Sun Hong;Kim, Eun-Youn;Kim, Sinyeon;Yoon, Sung Ho
    • Journal of Microbiology and Biotechnology
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    • 제27권6호
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    • pp.1171-1179
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    • 2017
  • Butanol is a promising alternative to ethanol and is desirable for use in transportation fuels and additives to gasoline and diesel fuels. Microbial production of butanol is challenging primarily because of its toxicity and low titer of production. Herein, we compared the transcriptome and phenome of wild-type Escherichia coli and its butanol-tolerant evolved strain to understand the global cellular physiology and metabolism responsible for butanol tolerance. When the ancestral butanol-sensitive E. coli was exposed to butanol, gene activities involved in respiratory mechanisms and oxidative stress were highly perturbed. Intriguingly, the evolved butanol-tolerant strain behaved similarly in both the absence and presence of butanol. Among the mutations occurring in the evolved strain, cis-regulatory mutations may be the cause of butanol tolerance. This study provides a foundation for the rational design of the metabolic and regulatory pathways for enhanced biofuel production.

Prevention of Hyperuricemia by Clerodendrum trichotomum Leaf Extract in Potassium Oxonate-Induced Mice

  • Jang, Mi Gyeong;Song, Hana;Kim, Ji Hye;Oh, Jung Min;Park, Jung Young;Ko, Hee Chul;Hur, Sung-Pyo;Kim, Se-Jae
    • 한국발생생물학회지:발생과생식
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    • 제24권2호
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    • pp.89-100
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    • 2020
  • Clerodendrum trichotomum is a folk medicine exhibiting anti-hypertension, anti-arthritis, and anti-rheumatism properties. However, little is known about whether the material might prevent hyperuricemia and associated inflammation. In this study, we explored whether C. trichotomum leaf extract (CTE) prevented hyperuricemia induced by potassium oxonate (PO) in mice. CTE (400 mg/kg body weight) significantly reduced the serum uric acid (UA), blood urea nitrogen (BUN), and serum creatinine levels and increased urine UA and creatinine levels. CTE ameliorated PO-induced inflammation and apoptosis by reducing the levels of relevant proteins in kidney tissues. Also, CTE ameliorated both UA-induced inflammatory response in RAW 263.7 cells and UA-induced cytotoxicity in HK-2 cells. In addition, liver transcriptome analysis showed that CTE enriched mainly the genes for mediating positive regulation of MAPK cascade and apoptotic signaling pathways. Together, the results show that CTE effectively prevents hyperuricemia and associated inflammation in PO-induced mice.

RNA-Seq Analysis of the Arabidopsis Transcriptome in Pluripotent Calli

  • Lee, Kyounghee;Park, Ok-Sun;Seo, Pil Joon
    • Molecules and Cells
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    • 제39권6호
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    • pp.484-494
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    • 2016
  • Plant cells have a remarkable ability to induce pluripotent cell masses and regenerate whole plant organs under the appropriate culture conditions. Although the in vitro regeneration system is widely applied to manipulate agronomic traits, an understanding of the molecular mechanisms underlying callus formation is starting to emerge. Here, we performed genome-wide transcriptome profiling of wild-type leaves and leaf explant-derived calli for comparison and identified 10,405 differentially expressed genes (> two-fold change). In addition to the well-defined signaling pathways involved in callus formation, we uncovered additional biological processes that may contribute to robust cellular dedifferentiation. Particular emphasis is placed on molecular components involved in leaf development, circadian clock, stress and hormone signaling, carbohydrate metabolism, and chromatin organization. Genetic and pharmacological analyses further supported that homeostasis of clock activity and stress signaling is crucial for proper callus induction. In addition, gibberellic acid (GA) and brassinosteroid (BR) signaling also participates in intricate cellular reprogramming. Collectively, our findings indicate that multiple signaling pathways are intertwined to allow reversible transition of cellular differentiation and dedifferentiation.

Recent advances in spatially resolved transcriptomics: challenges and opportunities

  • Lee, Jongwon;Yoo, Minsu;Choi, Jungmin
    • BMB Reports
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    • 제55권3호
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    • pp.113-124
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    • 2022
  • Single-cell RNA sequencing (scRNA-seq) has greatly advanced our understanding of cellular heterogeneity by profiling individual cell transcriptomes. However, cell dissociation from the tissue structure causes a loss of spatial information, which hinders the identification of intercellular communication networks and global transcriptional patterns present in the tissue architecture. To overcome this limitation, novel transcriptomic platforms that preserve spatial information have been actively developed. Significant achievements in imaging technologies have enabled in situ targeted transcriptomic profiling in single cells at single-molecule resolution. In addition, technologies based on mRNA capture followed by sequencing have made possible profiling of the genome-wide transcriptome at the 55-100 ㎛ resolution. Unfortunately, neither imaging-based technology nor capture-based method elucidates a complete picture of the spatial transcriptome in a tissue. Therefore, addressing specific biological questions requires balancing experimental throughput and spatial resolution, mandating the efforts to develop computational algorithms that are pivotal to circumvent technology-specific limitations. In this review, we focus on the current state-of-the-art spatially resolved transcriptomic technologies, describe their applications in a variety of biological domains, and explore recent discoveries demonstrating their enormous potential in biomedical research. We further highlight novel integrative computational methodologies with other data modalities that provide a framework to derive biological insight into heterogeneous and complex tissue organization.

Comprehensive Expression Analysis of Triterpenoid Biosynthesis Genes Using Pac-Bio Sequencing and rnaSPAdes assembly in Codonopsis lanceolata

  • Ji-Nam Kang;Si Myung Lee;Mi-Hwa Choi;Chang-Kug Kim
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.253-253
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    • 2022
  • Codonopsis lanceolata (C. lanceolata) has been widely used in East Asia as a traditional medicine to treat various diseases such as bronchitis, convulsions, cough, obesity, and hepatitis. C. lanceolata belonging to Campanulaceae contains bioactive compounds such as polyphenols, saponins, and steroids. However, despite the pharmacological significance of C. lanceolata, the genetic information of this plant is limited and there are few studies of its transcriptome. In this study, we constructed a unigene set of C. lanceolata using Pac-Bio sequencing. Furthermore, the reads generated from Pac-bio and Illumina sequencing were mixed and assembled using rnaSPAdes. All genes involved in the triterpenoid pathway, a major bioactive compounds of C. lanceolata, were searched from the two unigene sets and the expression profiles of these genes were analyzed. The results showed that lupeol, beta-amyrin, and dammarenediol synthesis genes were activated in the leaves and roots of C. lanceolata. In particular, the expression of genes related to lupeol synthesis was relatively high, suggesting that the main triterpenoid of C. lanceolata is lupeol. Transcriptome studies related to lupeol synthesis in C. lanceolata have been rarely reported. Lupeol has been reported to have pharmacological effects such as anti-inflammatory, anti-cancer, and anti-bacterial. This study suggests the importance of C. lanceolata as a lupeol producing plant.

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Expression profiling of cultured podocytes exposed to nephrotic plasma reveals intrinsic molecular signatures of nephrotic syndrome

  • Panigrahi, Stuti;Pardeshi, Varsha Chhotusing;Chandrasekaran, Karthikeyan;Neelakandan, Karthik;PS, Hari;Vasudevan, Anil
    • Clinical and Experimental Pediatrics
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    • 제64권7호
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    • pp.355-363
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    • 2021
  • Background: Nephrotic syndrome (NS) is a common renal disorder in children attributed to podocyte injury. However, children with the same diagnosis have markedly variable treatment responses, clinical courses, and outcomes, suggesting molecular heterogeneity. Purpose: This study aimed to explore the molecular responses of podocytes to nephrotic plasma to identify specific genes and signaling pathways differentiating various clinical NS groups as well as biological processes that drive injury in normal podocytes. Methods: Transcriptome profiles from immortalized human podocyte cell line exposed to the plasma of 8 subjects (steroid-sensitive nephrotic syndrome [SSNS], n=4; steroid-resistant nephrotic syndrome [SRNS], n=2; and healthy adult individuals [control], n=2) were generated using microarray analysis. Results: Unsupervised hierarchical clustering of global gene expression data was broadly correlated with the clinical classification of NS. Differential gene expression (DGE) analysis of diseased groups (SSNS or SRNS) versus healthy controls identified 105 genes (58 up-regulated, 47 down-regulated) in SSNS and 139 genes (78 up-regulated, 61 down-regulated) in SRNS with 55 common to SSNS and SRNS, while the rest were unique (50 in SSNS, 84 genes in SRNS). Pathway analysis of the significant (P≤0.05, -1≤ log2 FC ≥1) differentially expressed genes identified the transforming growth factor-β and Janus kinase-signal transducer and activator of transcription pathways to be involved in both SSNS and SRNS. DGE analysis of SSNS versus SRNS identified 2,350 genes with values of P≤0.05, and a heatmap of corresponding expression values of these genes in each subject showed clear differences in SSNS and SRNS. Conclusion: Our study observations indicate that, although podocyte injury follows similar pathways in different clinical subgroups, the pathways are modulated differently as evidenced by the heatmap. Such transcriptome profiling with a larger cohort can stratify patients into intrinsic subtypes and provide insight into the molecular mechanisms of podocyte injury.

Comparative co-expression analysis of RNA-Seq transcriptome revealing key genes, miRNA and transcription factor in distinct metabolic pathways in diabetic nerve, eye, and kidney disease

  • Asmy, Veerankutty Subaida Shafna;Natarajan, Jeyakumar
    • Genomics & Informatics
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    • 제20권3호
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    • pp.26.1-26.19
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    • 2022
  • Diabetes and its related complications are associated with long term damage and failure of various organ systems. The microvascular complications of diabetes considered in this study are diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy. The aim is to identify the weighted co-expressed and differentially expressed genes (DEGs), major pathways, and their miRNA, transcription factors (TFs) and drugs interacting in all the three conditions. The primary goal is to identify vital DEGs in all the three conditions. The overlapped five genes (AKT1, NFKB1, MAPK3, PDPK1, and TNF) from the DEGs and the co-expressed genes were defined as key genes, which differentially expressed in all the three cases. Then the protein-protein interaction network and gene set linkage analysis (GSLA) of key genes was performed. GSLA, gene ontology, and pathway enrichment analysis of the key genes elucidates nine major pathways in diabetes. Subsequently, we constructed the miRNA-gene and transcription factor-gene regulatory network of the five gene of interest in the nine major pathways were studied. hsa-mir-34a-5p, a major miRNA that interacted with all the five genes. RELA, FOXO3, PDX1, and SREBF1 were the TFs interacting with the major five gene of interest. Finally, drug-gene interaction network elucidates five potential drugs to treat the genes of interest. This research reveals biomarker genes, miRNA, TFs, and therapeutic drugs in the key signaling pathways, which may help us, understand the processes of all three secondary microvascular problems and aid in disease detection and management.

수직농장에서 자란 케일(Brassica oleracea var. acephala) 품종에 따른 글루코시놀레이트 함량의 변화 및 전사체 분석 (Glucosinolate Content Varies and Transcriptome Analysis in Different Kale Cultivars (Brassica oleracea var. acephala) Grown in a Vertical Farm)

  • 응웬티김로안;이가운;조정수;이준구;이신우;손기호
    • 생물환경조절학회지
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    • 제31권4호
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    • pp.332-342
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    • 2022
  • 케일(Brassica oleracea var. acephala)은 필수 아미노산, 비타민, 미네랄과 같은 수많은 영양소를 함유하고 특히 글루코시놀레이트가 풍부하기 때문에 전 세계적으로 가장 많이 소비되는 잎 채소 중 하나이다. 그러나 케일 품종 간의 글루코시놀레이트 합성과 관련된 유전자 발현에 대한 연구는 미비한 실정이다. 본 연구에서는 전사체 및 대사체 분석을 사용하여 식물공장에서 재배된 녹색(만추 및 맛짱) 및 적색 케일 품종(적곱슬)을 포함한 3 가지 케일 품종에서 글루코시놀레이트를 조사하였다. 재배 후 6주된 녹색 케일 품종의 생육 및 발달이 적색 케일 품종에 비해 높았다. High-performance liquid chromatography (HPLC) 분석에서 7가지 글루코시놀레이트를 분석하였다; 만추 품종에서는 5종의 글루코시놀레이트가, 맛짱과 적곱슬 품종에서는 4종의 글루코시놀레이트가 분류되었다. Glucobrassicin은 3가지 케일 품종에서 가장 높은 글루코시놀레이트 였다. 총 글루코시놀레이트 함량은 적곱슬 품종에서 가장 높았다. 전사체 분석에서는 8개의 유전자가 글루코시놀레이트 합성에 관여됨을 확인할 수 있었다. 이러한 결과는 케일 품종에 따라 글루코시놀레이트 함량과 축적 패턴이 다르다는 것을 시사한다.

Global Transcriptome-Wide Association Studies (TWAS) Reveal a Gene Regulation Network of Eating and Cooking Quality Traits in Rice

  • Weiguo Zhao;Qiang He;Kyu-Won Kim;Feifei Xu;Thant Zin Maung;Aueangporn Somsri;Min-Young Yoon;Sang-Beom Lee;Seung-Hyun Kim;Joohyun Lee;Soon-Wook Kwon;Gang-Seob Lee;Bhagwat Nawade;Sang-Ho Chu;Wondo Lee;Yoo-Hyun Cho;Chang-Yong Lee;Ill-Min Chung;Jong-Seong Jeon;Yong-Jin Park
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.207-207
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    • 2022
  • Eating and cooking quality (ECQ) is one of the most complex quantitative traits in rice. The understanding of genetic regulation of transcript expression levels attributing to phenotypic variation in ECQ traits is limited. We integrated whole-genome resequencing, transcriptome, and phenotypic variation data from 84 Japonica accessions to build a transcriptome-wide association study (TWAS) based regulatory network. All ECQ traits showed a large phenotypic variation and significant phenotypic correlations among the traits. TWAS analysis identified a total of 285 transcripts significantly associated with six ECQ traits. Genome-wide mapping of ECQ-associated transcripts revealed 66,905 quantitative expression traits (eQTLs), including 21,747 local eQTLs, and 45,158 trans-eQTLs, regulating the expression of 43 genes. The starch synthesis-related genes (SSRGs), starch synthase IV-1 (SSIV-1), starch branching enzyme 1 (SBE1), granule-bound starch synthase 2 (GBSS2), and ADP-glucose pyrophosphorylase small subunit 2a (OsAGPS2a) were found to have eQTLs regulating the expression of ECQ associated transcripts. Further, in co-expression analysis, 130 genes produced at least one network with 22 master regulators. In addition, we developed CRISPR/Cas9-edited glbl mutant lines that confirmed the role of alpha-globulin (glbl) in starch synthesis to validate the co-expression analysis. This study provided novel insights into the genetic regulation of ECQ traits, and transcripts associated with these traits were discovered that could be used in further rice breeding.

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Transcriptomic profiles and their correlations in saliva and gingival tissue biopsy samples from periodontitis and healthy patients

  • Jeon, Yoon-Sun;Cha, Jae-Kook;Choi, Seong-Ho;Lee, Ji-Hyun;Lee, Jung-Seok
    • Journal of Periodontal and Implant Science
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    • 제50권5호
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    • pp.313-326
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    • 2020
  • Purpose: This study was conducted to analyze specific RNA expression profiles in gingival tissue and saliva samples in periodontitis patients and healthy individuals, and to determine their correlations in light of the potential use of microarray-based analyses of saliva samples as a periodontal monitoring tool. Methods: Gingival tissue biopsies and saliva samples from 22 patients (12 with severe periodontitis and 10 with a healthy periodontium) were analyzed using transcriptomic microarray analysis. Differential gene expression was assessed, and pathway and clustering analyses were conducted for the samples. The correlations between the results for the gingival tissue and saliva samples were analyzed at both the gene and pathway levels. Results: There were 621 differentially expressed genes (DEGs; 320 upregulated and 301 downregulated) in the gingival tissue samples of the periodontitis group, and 154 DEGs (44 upregulated and 110 downregulated) in the saliva samples. Nine of these genes overlapped between the sample types. The periodontitis patients formed a distinct cluster group based on gene expression profiles for both the tissue and saliva samples. Database for Annotation, Visualization and Integrated Discovery analysis revealed 159 enriched pathways from the tissue samples of the periodontitis patients, as well as 110 enriched pathways In the saliva samples. Thirty-four pathways overlapped between the sample types. Conclusions: The present results indicate the possibility of using the salivary transcriptome to distinguish periodontitis patients from healthy individuals. Further work is required to enhance the extraction of available RNA from saliva samples.