• 제목/요약/키워드: Biological information

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하천수의 생태독성을 파악하기 위한 황산화미생물의 이용가능성 평가 (Assessment of Biological Toxicity Monitoring in Water Using Sulfur Oxidizing Bacteria)

  • 강우창;오상은
    • 한국환경농학회지
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    • 제31권2호
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    • pp.170-174
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    • 2012
  • 일반적으로 실제 하천의 EC 값은 일정하게 유지가 된다. 연속식, 반연속식 운전으로 실험한 결과 정상상태(steady state)를 보였다. 연속운전의 경우 유출수의 EC 값은 1.7 dS/m로 일정하게 유지되었으며(유입 EC = 0.1 dS/m) 반연속식운전의 경우 새로운 유입수가 유입됨으로 인해 초기 EC는 약 0.1 dS/m이고 미생물이 황을 산화함에 따라 황산염 이온이 생성되고 EC가 증가하여 30분 후 EC는 약 0.6 dS/m로 측정되었고 장시간 운전하여도 일정한 트랜드의 안정적인 값이 측정되었다. ${NO_2}^{-}-N$가 주입되면서 미생물이 저해를 받아 EC가 감소하는 경향을 보였으며 이를 통해 독성물질 주입여부를 판별할 수 있었다. 독성이 없는 유입수를 다시 유입시켰을 경우 약 4~5시간 후 반응조 내의 미생물이 원상태를 회복하여 유입 전 EC의 값이 다시 측정되었다. 황을 이용한 독성모니터링방법은 다른 여러 조건의 실험을 통해 문제점 파악 및 보완이 필요하지만 연속식 운전, 반연속식 운전 2가지 방법을 통해 독성물질을 신속하게 탐지할 수 있을 것으로 판단된다.

낙동강 본류 측정소들의 생물학적 산소요구량 수치에 대한 비모수적 회귀분석과 특이점분석 (Lowess and outlier analysis of biological oxygen demand on Nakdong main stream river)

  • 김종태
    • Journal of the Korean Data and Information Science Society
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    • 제25권1호
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    • pp.119-130
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    • 2014
  • 본 연구는 국립환경과학원의 물환경정보시스템에서 제공한 자료를 사용하였다. 자료는 낙동강 본류 (낙본, nb)의 수질측정소 A지역에서 측정소 N지역까지 2003년 1월부터 2013년 8월까지 측정한 월별 수질데이터를 이용하였다. 생물학적 산소요구량 BOD (biological oxygen demand)의 통계학적 수질분석은 월별, 연도별, 지역별로 R 프로그래밍을 이용하여 구체화 하였다. 낙본지역 측정소들의 BOD에 대하여 탐색적 자료분석 (exploratory data analysis) 방법과 비모수 회귀분석방법 중 하나인 Lowess (locally weighted scatter plot smoother) 경향분석법을 이용하여 장기수질경향과 지역별 수질분포의 현황을 분석하였다. 그리고 특이점 (outlier)이 가장 많이 발생하는 시기와 낙본 측정지역들을 분석하였다. 그 결과 낙본하류지역인 부산광역시 강서구 명지동 측정소 nbM의 BOD 수질환경 보다 낙본중류지역인 대구광역시 달성군 구지면의 측정소 nbG와 경상남도 창원시의 측정소 nbI 지역의 수질오염이 보다 심각한 문제점들이 있는 것으로 나타난다.

Prognostically Significant Fusion Oncogenes in Pakistani Patients with Adult Acute Lymphoblastic Leukemia and their Association with Disease Biology and Outcome

  • Sabir, Noreen;Iqbal, Zafar;Aleem, Aamer;Awan, Tashfeen;Naeem, Tahir;Asad, Sultan;Tahir, Ammara H;Absar, Muhammad;Hasanato, Rana MW;Basit, Sulman;Chishti, Muhammad Azhar;Ul-Haque, Muhammad Faiyaz;Khalid, Ahmad Muktar;Sabar, Muhammad Farooq;Rasool, Mahmood;Karim, Sajjad;Khan, Mahwish;Samreen, Baila;Akram, Afia M;Siddiqi, Muhammad Hassan;Shahzadi, Saba;Shahbaz, Sana;Ali, Agha Shabbir
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권7호
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    • pp.3349-3355
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    • 2012
  • Background and objectives: Chromosomal abnormalities play an important role in genesis of acute lymphoblastic leukemia (ALL) and have prognostic implications. Five major risk stratifying fusion genes in ALL are BCR-ABL, MLL-AF4, ETV6-RUNX11, E2A-PBX1 and SIL-TAL1. This work aimed to detect common chromosomal translocations and associated fusion oncogenes in adult ALL patients and study their relationship with clinical features and treatment outcome. Methods: We studied fusion oncogenes in 104 adult ALL patients using RT-PCR and interphase-FISH at diagnosis and their association with clinical characteristics and treatment outcome. Results: Five most common fusion genes i.e. BCR-ABL (t 9; 22), TCF3-PBX1 (t 1; 19), ETV6-RUNX1 (t 12; 21), MLL-AF4 (t 4; 11) and SIL-TAL1 (Del 1p32) were found in 82/104 (79%) patients. TCF3-PBX1 fusion gene was associated with lymphadenopathy, SIL-TAL1 positive patients had frequent organomegaly and usually presented with a platelets count of less than $50{\times}10^9/l$. Survival of patients with fusion gene ETV6-RUNX1 was better when compared to patients harboring other genes. MLL-AF4 and BCR-ABL positivity characterized a subset of adult ALL patients with aggressive clinical behaviour and a poor outcome. Conclusions: This is the first study from Pakistan which investigated the frequency of5 fusion oncogenes in adult ALL patients, and their association with clinical features, treatment response and outcome. Frequencies of some of the oncogenes were different from those reported elsewhere and they appear to be associated with distinct clinical characteristics and treatment outcome. This information will help in the prognostic stratification and risk adapted management of adult ALL patients.

Metabolic Pathways Associated with Kimchi, a Traditional Korean Food, Based on In Silico Modeling of Published Data

  • Shin, Ga Hee;Kang, Byeong-Chul;Jang, Dai Ja
    • Genomics & Informatics
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    • 제14권4호
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    • pp.222-229
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    • 2016
  • Kimchi is a traditional Korean food prepared by fermenting vegetables, such as Chinese cabbage and radishes, which are seasoned with various ingredients, including red pepper powder, garlic, ginger, green onion, fermented seafood (Jeotgal), and salt. The various unique microorganisms and bioactive components in kimchi show antioxidant activity and have been associated with an enhanced immune response, as well as anti-cancer and anti-diabetic effects. Red pepper inhibits decay due to microorganisms and prevents food from spoiling. The vast amount of biological information generated by academic and industrial research groups is reflected in a rapidly growing body of scientific literature and expanding data resources. However, the genome, biological pathway, and related disease data are insufficient to explain the health benefits of kimchi because of the varied and heterogeneous data types. Therefore, we have constructed an appropriate semantic data model based on an integrated food knowledge database and analyzed the functional and biological processes associated with kimchi in silico. This complex semantic network of several entities and connections was generalized to answer complex questions, and we demonstrated how specific disease pathways are related to kimchi consumption.

Design, Optimization and Validation of Genomic DNA Microarrays for Examining the Clostridium acetobutylicum Transcriptome

  • Alsaker, Keith V.;Paredes, Carlos J.;Papoutsakis, Eleftherios T.
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제10권5호
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    • pp.432-443
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    • 2005
  • Microarray technology has contributed Significantly to the understanding of bacterial genetics and transcriptional regulation. One neglected aspect of this technology has been optimization of microarray-generated signals and quality of generated information. Full genome microarrays were developed for Clostridium acetobutylicum through spotting of PCR products that were designed with minimal homology with all other genes within the genome. Using statistical analyses it is demonstrated that Signal quality is significantly improved by increasing the hybridization volume. possibly increasing the effective number of transcripts available to bind to a given spot, while changes in labeled probe amounts were found to be less sensitive to improving signal quality. In addition to Q-RT-PCR, array validation was tested by examining the transcriptional program of a mutant (M5) strain lacking the pSOL1 178-gene megaplasmid relative to the wildtype (WT) strain. Under optimal conditions, it is demonstrated that the fraction of false positive genes is 1% when considering differentially expressed genes and 7% when considering all genes with signal above background. To enhance genomic-scale understanding of organismal physiology, using data from these microarrays we estimated that $40{\sim}55%$ of the C. acetobutylicum genome is expressed at any time during batch culture, similar to estimates made for Bacillus subtilis.

인공어초의 최적 배치모델 구축에 관한 연구 (A study on the optimal placement model building of artificial reef)

  • 손병규;정성재
    • 수산해양기술연구
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    • 제53권2호
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    • pp.160-168
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    • 2017
  • In this study, we propose a method of optimal placement technique of artificial reef considering characteristics of sea areas and provide basic data for efficient budget execution. In addition, we will contribute to increasing the economic efficiency by improving the fisheries productivity by suggesting the scientific basis for the policy data and the increase of the catch through the resource creation based on the ecological information about the biology. Especially, in order to establish the effective disposition (optimum separation distance) of artificial reef considering characteristics of biological and engineering factors, it is necessary to review the artificial reef installation management regulations and investigate the biological effects of artificial reef facilities, is needed. Through this, it is expected that the ground data of the direction of the policy promotion will be derived by suggesting the placement condition of the artificial reef complex which can maximize the resource composition effect according to the target fish species.

From proteomics toward systems biology: integration of different types of proteomics data into network models

  • Rho, Sang-Chul;You, Sung-Yong;Kim, Yong-Soo;Hwang, Dae-Hee
    • BMB Reports
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    • 제41권3호
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    • pp.184-193
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    • 2008
  • Living organisms are comprised of various systems at different levels, i.e., organs, tissues, and cells. Each system carries out its diverse functions in response to environmental and genetic perturbations, by utilizing biological networks, in which nodal components, such as, DNA, mRNAs, proteins, and metabolites, closely interact with each other. Systems biology investigates such systems by producing comprehensive global data that represent different levels of biological information, i.e., at the DNA, mRNA, protein, or metabolite levels, and by integrating this data into network models that generate coherent hypotheses for given biological situations. This review presents a systems biology framework, called the 'Integrative Proteomics Data Analysis Pipeline' (IPDAP), which generates mechanistic hypotheses from network models reconstructed by integrating diverse types of proteomic data generated by mass spectrometry-based proteomic analyses. The devised framework includes a serial set of computational and network analysis tools. Here, we demonstrate its functionalities by applying these tools to several conceptual examples.

Determination of the minimum population size for ex situ conservation of water-shield (Brasenia schreberi J.F. Gmelin) inferred from AFLP analysis

  • Kim, Changkyun;Na, Hye Ryun;Jung, Jongduk;Kim, Hojoon;Hyun, Jin-Oh;Shin, Hyunchur;Choi, Hong-Keun
    • Journal of Ecology and Environment
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    • 제35권4호
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    • pp.301-306
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    • 2012
  • Determination of the minimum population size is an important component for the ex situ conservation of an endangered species. Here, we present the identification of collection strategies that most efficiently captured the genetic diversity of Brasenia schreberi J.F. Gmelin (water-shield) in natural populations from the mainland (MGC) and Jeju Island (JNS) of South Korea, using amplified fragment length polymorphism (AFLP) markers. A total of 313 and 383 polymorphic bands were detected in the MGC and JNS populations, respectively. All of the 140 sampled ramets were distinguishable by the presence of distinct AFLP phenotypes. According to the simulation of the individual sampling by maximization sampling, 25 and 28 individuals captured all of the genetic diversity in the MGC population (mainland of South Korea) and the JNS population (Jeju Island), respectively. The level of genetic diversity of the core collections was similar to the entire collection, indicating that the core collections very well represent the diversity of the entire collection. We therefore suggest a management unit of B. schreberi based on the genetic information for assessing the minimum population size for its ex situ conservation.

Cellulose-based Nanocrystals: Sources and Applications via Agricultural Byproducts

  • Seo, Yu-Ri;Kim, Jin-Woo;Hoon, Seonwoo;Kim, Jangho;Chung, Jong Hoon;Lim, Ki-Taek
    • Journal of Biosystems Engineering
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    • 제43권1호
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    • pp.59-71
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    • 2018
  • Purpose: Cellulose nanocrystals (CNCs) are natural polymers that have been promoted as a next generation of new, sustainable materials. CNCs are invaluable as reinforcing materials for composites because they can impart improved mechanical, chemical, and thermal properties and they are biodegradable. The purpose of this review is to provide researchers with information that can assist in the application of CNCs extracted from waste agricultural byproducts (e.g. rice husks, corncobs, pineapple leaves). Methods & Results: This paper presents the unique characteristics of CNCs based on agricultural byproducts, and lists processing methods for manufacturing CNCs from agricultural byproducts. Various mechanical treatments (microfluidization and homogenization) and chemical treatments (alkali treatment, bleaching and hydrolysis) can be performed in order to generate nanocellulose. CNC-based composite properties and various applications are also discussed. Conclusions: CNC-based composites from agricultural byproducts can be combined to meet end-use applications such as sensors, batteries, films, food packaging, and 3D printing by utilizing their properties. The review discusses applications in food engineering, biological engineering, and cellulose-based hydrogels.

Development of a Single Nucleotide Polymorphism DNA Microarray for the Detection and Genotyping of the SARS Coronavirus

  • Guo, Xi;Geng, Peng;Wang, Quan;Cao, Boyang;Liu, Bin
    • Journal of Microbiology and Biotechnology
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    • 제24권10호
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    • pp.1445-1454
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    • 2014
  • Severe acute respiratory syndrome (SARS), a disease that spread widely in the world during late 2002 to 2004, severely threatened public health. Although there have been no reported infections since 2004, the extremely pathogenic SARS coronavirus (SARS-CoV), as the causative agent of SARS, has recently been identified in animals, showing the potential for the re-emergence of this disease. Previous studies showed that 27 single nucleotide polymorphism (SNP) mutations among the spike (S) gene of this virus are correlated closely with the SARS pathogenicity and epidemicity. We have developed a SNP DNA microarray in order to detect and genotype these SNPs, and to obtain related information on the pathogenicity and epidemicity of a given strain. The microarray was hybridized with PCR products amplified from cDNAs obtained from different SARS-CoV strains. We were able to detect 24 SNPs and determine the type of a given strain. The hybridization profile showed that 19 samples were detected and genotyped correctly by using our microarray, with 100% accuracy. Our microarray provides a novel method for the detection and epidemiological surveillance of SARS-CoV.