• Title/Summary/Keyword: Network biology

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An Analysis of Urban Green Network using Nearest Features Model in Korean Metropolitan Cities (최근린사상법을 활용한 6대 광역시 녹지네트워크 경향 분석)

  • Oh, Jeong-Hak;Jang, Gab-Sue;Kim, Yong-Bum
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.13 no.5
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    • pp.135-145
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    • 2010
  • This study was carried out to investigate the current urban forest network and future plan of forest framework using nearest features program where stepping stones within 5km from the core forest were selected in the program. We found several conclusions as follows: First, we found that cities in inland area including Daegu, Dajeon and Gwangju have quite different types of forest network with comparing to the cities nearby coastline including Busan, Incheon and Ulsan. The cities in inland area have large mountain patch around each city. However they have small and lower number of island forests within their urban area. Otherwise, cities nearby coastline have more forest patches than in the cities in inland area, and Busan and Incheon especially have strong forest network using various size of forest patches. Second, Daegu and Daejeon have much smaller forest patches distributed in each urban area. So additional forest patches should be added to have highly strong forest network within urban area. Third, Ulsan and Gwangju have most stepping-stone forests close to the large mountain patches in suburban area, which are not able to connect to the forest patches in the central area of each city So additional forest patches are needed to be added in the central area of each city for reinforcing the effect of stepping stone in the central area. Though there should be an addition approach except for forest size and its isolation to construct the ecological network in an urban area, this indices can be a good method to check an environmental and ecological status in an urban area.

Network pharmacology-based prediction of efficacy and mechanism of Myrrha acting on Allergic Rhinitis (네트워크 약리학을 활용한 알레르기 비염에서의 몰약의 치료 효능 및 기전 예측)

  • Yebin Lim;Bitna Kweon;Dong-Uk Kim;Gi-Sang Bae
    • The Journal of Korean Medicine
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    • v.45 no.1
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    • pp.114-125
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    • 2024
  • Objectives: Network pharmacology is an analysis method that explores drug-centered efficacy and mechanism by constructing a compound-target-disease network based on system biology, and is attracting attention as a methodology for studying herbal medicine that has the characteristics for multi-compound therapeutics. Thus, we investigated the potential functions and pathways of Myrrha on Allergic Rhinitis (AR) via network pharmacology analysis and molecular docking. Methods: Using public databases and PubChem database, compounds of Myrrha and their target genes were collected. The putative target genes of Myrrha and known target genes of AR were compared and found the correlation. Then, the network was constructed using STRING database, and functional enrichment analysis was conducted based on the Gene Ontology (GO) Biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathways. Binding-Docking stimulation was performed using CB-Dock. Results: The result showed that total 3 compounds and 55 related genes were gathered from Myrrha. 33 genes were interacted with AR gene set, suggesting that the effects of Myrrha are closely related to AR. Target genes of Myrrha are considerably associated with various pathways including 'Fc epsilon RI signaling pathway' and 'JAK-STAT signaling pathway'. As a result of blinding docking, AKT1, which is involved in both mechanisms, had high binding energies for abietic acid and dehydroabietic acid, which are components of Myrrha. Conclusion: Through a network pharmacological method, Myrrha was predicted to have high relevance with AR by regulating AKT1. This study could be used as a basis for studying therapeutic effects of Myrrha on AR.

Humanized (SCID) Mice as a Model to Study human Leukemia

  • Lee, Yoon;Kim, Donghyun Curt;Kim, Hee-Je
    • Biomedical Science Letters
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    • v.21 no.2
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    • pp.51-59
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    • 2015
  • A humanized mice (hu-mice) model is extremely valuable to verify human cell activity in vivo condition and is regarded as an important tool in examining multimodal therapies and drug screening in tumor biology. Moreover, hu-mice models that simply received human $CD34^+$ blood cells and tissue transplants are also overwhelmingly useful in immunology and stem cell biology. Because generated hu-mice harboring a human immune system have displayed phenotype of human $CD45^+$ hematopoietic cells and when played partly with functional immune network, it could be used to evaluate human cell properties in vivo. Although the hu-mice model does not completely recapitulate human condition, it is a key methodological factor in studying human hematological malignancies with impaired immune cells. Also, an advanced humanized leukemic mice (hu-leukemic-mice) model has been developed by improving immunodeficient mice. In this review, we briefly described the history of development on immunodeficient SCID strain mice for hu-and hu-leukemic-mice model for immunologic and tumor microenviromental study while inferring the potential benefits of hu-leukemic-mice in cancer biology.

Recently Emerging Signaling Landscape of Ataxia-Telangiectasia Mutated (ATM) Kinase

  • Farooqi, Ammad Ahmad;Attar, Rukset;Arslan, Belkis Atasever;Romero, Mirna Azalea;ul Haq, Muhammad Fahim;Qadir, Muhammad Imran
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.16
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    • pp.6485-6488
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    • 2014
  • Research over the years has progressively and sequentially provided near complete resolution of regulators of the DNA repair pathways which are so important for cancer prevention. Ataxia-telangiectasia mutated kinase (ATM), a high-molecular-weight PI3K-family kinase has emerged as a master regulator of DNA damage signaling and extensive cross-talk between ATM and downstream proteins forms an interlaced signaling network. There is rapidly growing scientific evidence emphasizing newly emerging paradigms in ATM biology. In this review, we provide latest information regarding how oxidative stress induced activation of ATM can be utilized as a therapeutic target in different cancer cell lines and in xenografted mice. Moreover, crosstalk between autophagy and ATM is also discussed with focus on how autophagy inhibition induces apoptosis in cancer cells.

Telomerase: Key to Mortal or Immortal Road

  • Yang, Eun-Young;Sung, Young Hoon;Lee, Han-Woong
    • IMMUNE NETWORK
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    • v.2 no.4
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    • pp.183-188
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    • 2002
  • Gradual attrition of telomere to a critical short length elicits successive cellular response of cellular senescence and crisis. Cancer cells evade this process by maintaining functional telomeres via one of two known mechanisms of telomere maintenance. The first and most frequent mechanism involves reactivation of enzyme activity of telomerase, a ribonucleoprotein complex mainly via transcriptional up-regulation of TERT, a catalytic subunit of telomerase complex. The second mechanism utilizes telomerase-independent way termed ALT (for Alternative Lengthening of Telomere), which possibly involves recombination pathways. Thus master key for cellular immortalization is supposed to possess adequate telomere reserves. Indeed, telomerase can alone induce the immortalization under culture on feeder cell layers without generally known inactivation mechanism of tumor suppressor genes. Including this phenomena, this review will focus on telomerase and telomere-associated proteins, thereby implication of these proteins for cellular immortalization processes.

Molecular and Cellular Basis of Neurodegeneration in Alzheimer's Disease

  • Jeong, Sangyun
    • Molecules and Cells
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    • v.40 no.9
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    • pp.613-620
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    • 2017
  • The most common form of senile dementia is Alzheimer's disease (AD), which is characterized by the extracellular deposition of amyloid ${\beta}-peptide$ ($A{\beta}$) plaques and the intracellular formation of neurofibrillary tangles (NFTs) in the cerebral cortex. Tau abnormalities are commonly observed in many neurodegenerative diseases including AD, Parkinson's disease, and Pick's disease. Interestingly, tau-mediated formation of NFTs in AD brains shows better correlation with cognitive impairment than $A{\beta}$ plaque accumulation; pathological tau alone is sufficient to elicit frontotemporal dementia, but it does not cause AD. A growing amount of evidence suggests that soluble $A{\beta}$ oligomers in concert with hyperphosphorylated tau (pTau) serve as the major pathogenic drivers of neurodegeneration in AD. Increased $A{\beta}$ oligomers trigger neuronal dysfunction and network alternations in learning and memory circuitry prior to clinical onset of AD, leading to cognitive decline. Furthermore, accumulated damage to mitochondria in the course of aging, which is the best-known nongenetic risk factor for AD, may collaborate with soluble $A{\beta}$ and pTau to induce synapse loss and cognitive impairment in AD. In this review, I summarize and discuss the current knowledge of the molecular and cellular biology of AD and also the mechanisms that underlie $A{\beta}-mediated$ neurodegeneration.

A Study on Using of Biodiversity Database for Learning of Biodiversity (생물다양성 학습을 위한 생물다양성 DB 활용에 관한 연구)

  • Ahn Bu-Young;Cho Hee-Hyung;Park Jae-Hong
    • Proceedings of the Korea Contents Association Conference
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    • 2005.11a
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    • pp.428-432
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    • 2005
  • This paper has studied the concept and technical factors of e-Learning system to which we intend to apply domestic biodiversity information. This article describes how we analyzed and designed the e-learning system to serve biodiversity information as e-Learning contents. It would be useful for the public and students if this information are organized and provided as e-learning contents especially in our country which has well-established network infrastructure considering the limited land space. It is expected that the establishment of e-Learning system based on this proposed design will help students and public to access and team biodiversity on cyber space.

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Proteomics Data Analysis using Representative Database

  • Kwon, Kyung-Hoon;Park, Gun-Wook;Kim, Jin-Young;Park, Young-Mok;Yoo, Jong-Shin
    • Bioinformatics and Biosystems
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    • v.2 no.2
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    • pp.46-51
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    • 2007
  • In the proteomics research using mass spectrometry, the protein database search gives the protein information from the peptide sequences that show the best match with the tandem mass spectra. The protein sequence database has been a powerful knowledgebase for this protein identification. However, as we accumulate the protein sequence information in the database, the database size gets to be huge. Now it becomes hard to consider all the protein sequences in the database search because it consumes much computing time. For the high-throughput analysis of the proteome, usually we have used the non-redundant refined database such as IPI human database of European Bioinformatics Institute. While the non-redundant database can supply the search result in high speed, it misses the variation of the protein sequences. In this study, we have concerned the proteomics data in the point of protein similarities and used the network analysis tool to build a new analysis method. This method will be able to save the computing time for the database search and keep the sequence variation to catch the modified peptides.

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Microbial linguistics: perspectives and applications of microbial cell-to-cell communication

  • Mitchell, Robert J.;Lee, Sung-Kuk;Kim, Tae-Sung;Ghim, Cheol-Min
    • BMB Reports
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    • v.44 no.1
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    • pp.1-10
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    • 2011
  • Inter-cellular communication via diffusible small molecules is a defining character not only of multicellular forms of life but also of single-celled organisms. A large number of bacterial genes are regulated by the change of chemical milieu mediated by the local population density of its own species or others. The cell density-dependent "autoinducer" molecules regulate the expression of those genes involved in genetic competence, biofilm formation and persistence, virulence, sporulation, bioluminescence, antibiotic production, and many others. Recent innovations in recombinant DNA technology and micro-/nano-fluidics systems render the genetic circuitry responsible for cell-to-cell communication feasible to and malleable via synthetic biological approaches. Here we review the current understanding of the molecular biology of bacterial intercellular communication and the novel experimental protocols and platforms used to investigate this phenomenon. A particular emphasis is given to the genetic regulatory circuits that provide the standard building blocks which constitute the syntax of the biochemical communication network. Thus, this review gives focus to the engineering principles necessary for rewiring bacterial chemo-communication for various applications, ranging from population-level gene expression control to the study of host-pathogen interactions.

Immunopathology and Immunotherapy of Inflammatory Skin Diseases

  • Ahreum Song;Sang Eun Lee;Jong Hoon Kim
    • IMMUNE NETWORK
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    • v.22 no.1
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    • pp.7.1-7.20
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    • 2022
  • Recently, there have been impressive advancements in understanding of the immune mechanisms underlying cutaneous inflammatory diseases. To understand these diseases on a deeper level and clarify the therapeutic targets more precisely, numerous studies including in vitro experiments, animal models, and clinical trials have been conducted. This has resulted in a paradigm shift from non-specific suppression of the immune system to selective, targeted immunotherapies. These approaches target the molecular pathways and cytokines responsible for generating inflammatory conditions and reinforcing feedback mechanisms to aggravate inflammation. Among the numerous types of skin inflammation, psoriasis and atopic dermatitis (AD) are common chronic cutaneous inflammatory diseases. Psoriasis is a IL-17-mediated disease driven by IL-23, while AD is predominantly mediated by Th2 immunity. Autoimmune bullous diseases are autoantibody-mediated blistering disorders, including pemphigus and bullous pemphigoid. Alopecia areata is an organ-specific autoimmune disease mediated by CD8+ T-cells that targets hair follicles. This review will give an updated, comprehensive summary of the pathophysiology and immune mechanisms of inflammatory skin diseases. Moreover, the therapeutic potential of current and upcoming immunotherapies will be discussed.