• 제목/요약/키워드: Ribonucleic acids

검색결과 18건 처리시간 0.025초

검정곰팡이의 분화에 따르는 모노뉴클레오티드 성분의 분포 변동에 관한 연구 (Studies on the Distribution of the Mononucleotides in Aspergillus niger during Differentiation)

  • 김분래;김종협
    • 한국균학회지
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    • 제13권2호
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    • pp.65-74
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    • 1985
  • 1. 분화과정에 따른 균체로부터 추출한 총 RNA량은 포자형성 직전에 증가함을 알았다. 2. 추출한 RNA를 가수분해하여 P.E.I. Cellulose TLC를 전개한 결과 AMP유도체와 IMP가 존재함을 확인하였다. 3. 포자형성을 전후하여 IMP와 AMP의 RNA에 대한 함량비율은 일정함을 알았다. 4. 포자형성 전기의 균체에 아데노신, 구아노신, 이노신, 크산토신을 처리한바 포자형성이 10배 이상 촉진되었다. 5. 포자형성 전기의 균체에 A. bisporus, F. velutipes, L. edodes의 열수추출액을 처리한바 포자형성이 $1.5{\sim}2$배 촉진되었다.

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영지(靈芝)의 모노뉴크레오티드 성분의 분포에 관한 연구 (Studies on Distribution of the Mononucleotides in Ganoderma lucidum)

  • 김종협;남정숙
    • 한국균학회지
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    • 제12권3호
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    • pp.111-116
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    • 1984
  • Ganoderma lucidum (Fr.) Karsten을 실험재료로 하여 자실체형성 전후의 RNA를 추출 정량하였다. 버섯의 자실체 형성 전후에 걸쳐 총 RNA함량에 차이가 있었으며 자실체 형성 전에 총 RNA함량이 두드러지게 많았다. 버섯의 추출물인 RNA를 알카리가수분해한 것을 P.E.I. cellulose TLC로 전개한 결과 GMP와 XMP가 확인되었으며 미확인물질로서 한개의 spot가 나타났다. 이것은 위치로 보아 CMP가 아닌가 생각된다. 영지의 RNA추출물을 HPLC로 분석한 결과는 XMP와 GMP가 확인되었으며 그 함량은 각각, 자실체 형성 전의 GMP는 7.l9mg%, XMP는 8.43mg%, 형성후의 GMP는 4.02mg%, XMP는 3.67mg%의 함량분포를 나타내었다.

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염색체 말단부위 (Back to the Ends: Chromosomal DNA)

  • 이미형;서동철
    • Childhood Kidney Diseases
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    • 제12권1호
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    • pp.1-10
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    • 2008
  • Nucleic scids transfer the genetic information for serving a central biological purpose. The nucleic acids are polymers of nucleotides and they are mainly ribonucleic acid(RNA) and deoxyribonucleic acid(DNA). The nucleotides are stoichiometrically composed of five-carbon sugars, nitrogeneous bases, and phosphoric acids. The chemistry of nucleic acids and characteristics of different genomes are decribed for further study. Most of DNA genomes tend to be circular including bacterial genomes and eukaryotic mitochondrial DNA. Eukaryotic chromosomes in cells, in contrast, are generally linear. The ends of linear chromosomes are called telomeres. The genomes of different species, such as mammals, plants, invertebrates can be compared with the chromosome ends. The telomeric complex allows cells to distinguish the random DNA breaks and natural chromosomal ends. The very ends of chromosomes cannot be replicated by any ordinary mechanisms. The shortening of telomeric DNA templates in semiconservative replication is occurred with each cell division. The short telomere length is critically related to aging, tumors and dieases.

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고등식물에 미치는 항생물질의 영향 (제4보) - 대두 Aminoacid metabolism에 미치는 항생물질의 영향에 대하여

  • 이민재;이영록
    • 약학회지
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    • 제3권1호
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    • pp.4-9
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    • 1957
  • Effects of antibioties on micro-organism have been reported by many scientists, such as Krampitz and Werkman, Fisher, Gale and Rodwell, Klimick Cavalito and Bailey, Umbreit, etc. On the mechanism by which penicillin act, Fisher(1947), Platt(1947), and Cavallito, considered that penicillin might act on bacteria by inhibiting with the normal function of SH-group of glutathione in the metabolism of the cell. Resenbrance of penicillin to gultathione in structure and the inactivation of penicillin by cysteine make us approve of the above inhibiting theory of SH-group. Galland (1947) and Schmidt (1947) reported that penicillin inhibited the activity of ribonuclease, Phosphatase, and mononucleotidase. Gale (1948) discovered that the gram positive bacteria had lost the power to uptake glutamic acid by ribonucleic acid in the medium contained penicillin: growth of gram positive organism was inhibited by the results that penicillin inhibited the uptake of amino acid byribonucleic acid, acting on ribonucleic acid of gram positive bacteria. Hotchkiss (1950) cultured S. aureus in the medium contained glucose and amino acids, and studied the effect of penicillin on protein synthesis. Peptide formation in living cells was inhibited by penicillin, while amono acid was utilized as before the addition of penicillin. On the otherhand, Binkley (1951) found penicillin interfered hydrolase of glutath one, and Hans (1950) reported penicillin inhibited the transpeptidation. On the machanism by which streptomycin acts. Cohen (1947) reported steptomycin made a irreversible complex with desoxyribonucleic acid, by the fact that desoxyribonucleic acid formed the precipitates with diguanide group of steptomycin. Zeller (1951) reported, on the other hand, streptomycin inhibited diamine oxidease. Geiger (1947) and Umbreit (1949) reported that steptomycin inhibited condensation of oxaloacetate and pyruvate in E. Coli and Oginsky et al (1949) reported steptomycin inhibited oxaloacetate-pyruvate reaction in Kreb's cycle. On the mechanism by which terramycin acts, Hahn & Wisseman (1951) reported that the formation of adaptive enzyme was inhibited by terramycin in E. Coli cultivated in the medium contained loctose, and that the protein synthesis was inhibited by terramycin. However, effects of antibiotics on amino acid metabolism have not been discussed much in spite of its important role in living cells. Especislly, effects of anitibiotics on higher plants have scarcely been reported. Here, to prove the effect of antibiotics on higher plants, and the mechanism by which, through amino acid metabolism, they promote or inhibit growth of plants, amino acids in bean plants treated with penicillin, streptomycin, and terramycin were analyzed by paper chromatography. And to clarify the antagonis of cysteine (as SH-group) against penicillin, through amino acid metabolism, amino acids in bean plants treated with cystene and penicillin, at the same time, were also analyzed.

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AN IMPROVED ALGORITHM FOR RNA SECONDARY STRUCTURE PREDICTION

  • Namsrai Oyun-Erdene;Jung Kwang Su;Kim Sunshin;Ryu Keun Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.280-282
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    • 2005
  • A ribonucleic acid (RNA) is one of the two types of nucleic acids found in living organisms. An RNA molecule represents a long chain of monomers called nucleotides. The sequence of nucleotides of an RNA molecule constitutes its primary structure, and the pattern of pairing between nucleotides determines the secondary structure of an RNA. Non-coding RNA genes produce transcripts that exert their function without ever producing proteins. Predicting the secondary structure of non-coding RNAs is very important for understanding their functions. We focus on Nussinov's algorithm as useful techniques for predicting RNA secondary structures. We introduce a new traceback matrix and scoring table to improve above algorithm. And the improved algorithm provides better levels of performance than the originals.

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DEGRADATION OF NUCLEIC ACIDS BY CELL-FREE EXTRACT OF MIXED RUMEN PROTOZOA OF BUFFALO RUMEN

  • Sinha, P.R.;Dutta, S.M..
    • Asian-Australasian Journal of Animal Sciences
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    • 제1권4호
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    • pp.219-222
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    • 1988
  • Degradation of deoxyribonucleic acid(DNA) and ribonucleic acid(RNA) by cell-free extract of mixed rumen protozoa of buffalo rumen was investigated. DNA was observed to be degraded rapidly during an initial incubation period of 2 hr with simultaneous appearance of degradation products. RNA on the other hand recorded a rapid degradation during an initial incubation period of 1 hr. RNA degradation products appeared upto an incubation period of 2 hr. DNA was observed to degrade into oligo- and mononucleotides. pyrimidine nucleosides, purine nucleoside adenosine and bases xanthine, hypoxanthine and thymine. Degradation products of RNA comprised of pyrimidine nucleosides, purine nucleoside, adenosine and bases xanthine, hypoxanthine and uracil besides oligo- and mononucleotides.

MicroRNA-Gene Association Prediction Method using Deep Learning Models

  • Seung-Won Yoon;In-Woo Hwang;Kyu-Chul Lee
    • Journal of information and communication convergence engineering
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    • 제21권4호
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    • pp.294-299
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    • 2023
  • Micro ribonucleic acids (miRNAs) can regulate the protein expression levels of genes in the human body and have recently been reported to be closely related to the cause of disease. Determining the genes related to miRNAs will aid in understanding the mechanisms underlying complex miRNAs. However, the identification of miRNA-related genes through wet experiments (in vivo, traditional methods are time- and cost-consuming). To overcome these problems, recent studies have investigated the prediction of miRNA relevance using deep learning models. This study presents a method for predicting the relationships between miRNAs and genes. First, we reconstruct a negative dataset using the proposed method. We then extracted the feature using an autoencoder, after which the feature vector was concatenated with the original data. Thereafter, the concatenated data were used to train a long short-term memory model. Our model exhibited an area under the curve of 0.9609, outperforming previously reported models trained using the same dataset.

향상된 다이내믹 프로그래밍 기반 RNA 이차구조 예측 (An Improved algorithm for RNA secondary structure prediction based on dynamic programming algorithm)

  • ;정광수;김선신;류근호
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2005년도 추계학술발표대회 및 정기총회
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    • pp.15-18
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    • 2005
  • A ribonucleic acid (RNA) is one of the two types of nucleic acids found in living organisms. An RNA molecule represents a long chain of monomers called nucleotides. The sequence of nucleotides of an RNA molecule constitutes its primary structure, and the pattern of pairing between nucleotides determines the secondary structure of an RNA. Non-coding RNA genes produce transcripts that exert their function without ever producing proteins. Predicting the secondary structure of non-coding RNAs is very important for understanding their functions. We focus on Nussinov's algorithm as useful techniques for predicting RNA secondary structures. We introduce a new traceback matrix and scoring table to improve above algorithm. And the improved prediction algorithm provides better levels of performance than the originals.

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환상 및 선상감자 걀쪽바이로이드 RNA분자의 전기영동적 분리를 위한 효과적인 조건에 관한 연구 (Determining an Effective Electrophoretic Gel System for Separation of the Circular and Linear Potato Spindle Tuber Viroid RNA Molecules)

  • 이재열;김한집
    • 한국식물병리학회지
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    • 제3권4호
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    • pp.239-244
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    • 1987
  • 감자 걀쪽바이로이드(PSTV) RNA분자를 포함한 저분자량의 식물성 RNA분자에 대해서 0M부터 8M까지의 요소농도구배를 가진 폴리아크릴아마이드겔을 이용하여 1/40, 1/10로 희석한 완충액조건과 $17^{\circ}C,\;37^{\circ}C,\;57^{\circ}C$의 온도조건에서 전기영동을 실시하였다. 바이로이드의 RNA분자가 환상과 선상의 두가지 분자로 나뉘어지는 변성조건에서는 1/40로 희석한 TBE완충액을 포함하는 요소농도구배겔을 $57^{\circ}$에서 전기영동을 실시하는 것이 효과적이었다. 변성된 환상의 바이로이드분자에 대한 전기 영동적 이동성은 주로 요소의 농도에 따라 영향을 받는 것으로 보이는데, 이와 더불어 저 농도의 TBE완충액이 요소농도구배겔에서 환상과 선상바이로이드분자 사이에서 전기영동적 분리를 증가시켜 주었다.

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Anticancer Potency of Terminalia arjuna Bark on N-nitrosodiethylamine-Induced Hepatocellular Carcinoma in Rats

  • Sivalokanathan, Sarveswaran;Ilayaraja, Muthaiyan;Balasubramanian, Maruthaiveeran Periyasamy
    • Natural Product Sciences
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    • 제10권4호
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    • pp.190-195
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    • 2004
  • The anticancer potency of the ethanolic extract of Terminalia arjuna on N-nitrosodiethylamine (DEN) induced hepatocellular carcinoma in Wistar albino rats was studied. Single intraperitoneal injection of DEN was administrated to induce liver cancer. After two weeks, phenobarbital (PB) was given orally for fourteen weeks to promote the cancer. The cancer bearing animals treated with ethanolic extract of T.arjuna (400 mg/kg body weight) for 28 days. Nucleic acids such as deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) were estimated in liver and kidney of control and experimental animals. Certain marker enzymes viz, alanine aminotransaminase (ALT), aspartate aminotransaminase (AST), acid phosphatase (ACP), alkaline phosphatase (ALP), 5'-nucleotidase (5'ND) and lactate dehydrogenase (LDH) were assayed in serum, liver and kidney of control and experimental animals. The levels of DNA and RNA were significantly increased in cancer bearing animals. The activities of ALT, AST, ACP, ALP, 5'ND, and LDH were significantly (P<0.001) increased in serum of cancer bearing animals. On the other hand, the levels of ALT, AST were decreased (P<0.001) and ACP, ALP, 5'ND, and LDH were significantly increased (P<0.001) in liver and kidney. These changes were reversed to near normal in drug treated animals. These observations suggest that the ethanolic extract of T.arjuna possess anticancer activity.