• Title/Summary/Keyword: functional sequence

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Functional Metagenomics using Stable Isotope Probing: a Review

  • Vo, Nguyen Xuan Que;Kang, Ho-Jeong;Park, Joon-Hong
    • Environmental Engineering Research
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    • v.12 no.5
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    • pp.231-237
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    • 2007
  • The microbial eco-physiology has been the vital key of microbial ecological research. Unfortunately, available methods for direct identity of microorganisms and for the investigation of their activity in complicated community dynamics are limited. In this study, metagenomics was considered as a promising functional genomics tool for improving our understanding of microbial eco-physiology. Its potential applications and challenges were also reviewed. Because of tremendous diversity in microbial populations in environment, sequence analysis for whole metagenomic libraries from environmental samples seems to be unrealistic to most of environmental engineering researchers. When a target function is of interest, however, sequence analysis for whole metagenomic libraries would not be necessary. For this case, nucleic acids of active populations of interest can be selectively gained using another cutting-edge functional genomic tool, SIP (stable isotope probing) technique. If functional genomes isolated by SIP can be transferred into metagenomic library, sequence analysis for such selected functional genomes would be feasible because the reduced size of clone library may become adequate for sequencing analysis. Herein, integration of metagenomics with SIP was suggested as a novel functional genomics approach to study microbial eco-physiology in environment.

Bioinformatics for the Korean Functional Genomics Project

  • Kim, Sang-Soo
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2000.11a
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    • pp.45-52
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    • 2000
  • Genomic approach produces massive amount of data within a short time period, New high-throughput automatic sequencers can generate over a million nucleotide sequence information overnight. A typical DNA chip experiment produces tens of thousands expression information, not to mention the tens of megabyte image files, These data must be handled automatically by computer and stored in electronic database, Thus there is a need for systematic approach of data collection, processing, and analysis. DNA sequence information is translated into amino acid sequence and is analyzed for key motif related to its biological and/or biochemical function. Functional genomics will play a significant role in identifying novel drug targets and diagnostic markers for serious diseases. As an enabling technology for functional genomics, bioinformatics is in great need worldwide, In Korea, a new functional genomics project has been recently launched and it focuses on identi☞ing genes associated with cancers prevalent in Korea, namely gastric and hepatic cancers, This involves gene discovery by high throughput sequencing of cancer cDNA libraries, gene expression profiling by DNA microarray and proteomics, and SNP profiling in Korea patient population, Our bioinformatics team will support all these activities by collecting, processing and analyzing these data.

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On the Functional Central Limit Theorem of Negatively Associated Processes

  • Baek Jong Il;Park Sung Tae;Lee Gil Hwan
    • Communications for Statistical Applications and Methods
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    • v.12 no.1
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    • pp.117-123
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    • 2005
  • A functional central limit theorem is obtained for a stationary linear process of the form $X_{t}= \sum\limits_{j=0}^\infty{a_{j}x_{t-j}}$, where {x_t} is a strictly stationary sequence of negatively associated random variables with suitable conditions and {a_j} is a sequence of real numbers with $\sum\limits_{j=0}^\infty|a_{j}|<\infty$.

Perspectives on Functional Genomics

  • Song, Kyuyoung
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.5 no.5
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    • pp.307-312
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    • 2000
  • As the first assembly of the human genome was announced on June 26, 2000, we have entered post genome era. The genome sequence represents a new starting point for science and medicine with possible impact on research across the life sciences. In this review I tried to offer brief summaries of history and progress of the Human Genome Project and two major challenges ahead, functional genomics and DNA sequence variation research.

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Generation of Protein Lineages with new Sequence Spaces by Functional Salvage Screen

  • Kim, Geun-Joong;Cheon, Young-Hoon;Park, Min-Soon;Park, Hee-Sung;Kim, Hak-Sung
    • Proceedings of the Korean Society for Applied Microbiology Conference
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    • 2001.06a
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    • pp.77-80
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    • 2001
  • A variety of different methods to generate diverse proteins, including random mutagenesis and recombination, are currently available, and most of them accumulate the mutations on the target gene of a protein, whose sequence space remains unchanged. On the other hand, a pool of diverse genes, which is generated by random insertions, deletions, and exchange of the homologous domains with different lengths in the target gene, would present the protein lineages resulting in new fitness landscapes. Here we report a method to generate a pool of protein variants with different sequence spaces by employing green fluorescent protein (GFP) as a model protein. This process, designated functional salvage screen (FSS), comprises the following procedures: a defective GFP template expressing no fluorescence is firstly constructed by genetically disrupting a predetermined region(s) of the protein, and a library of GFP variants is generated from the defective template by incorporating the randomly fragmented genomic DNA from E. coli into the defined region(s) of the target gene, followed by screening of the functionally salvaged, fluorescence-emitting GFPs. Two approaches, sequence-directed and PCR-coupled methods, were attempted to generate the library of GFP variants with new sequences derived from the genomic segments of E. coli. The functionally salvaged GFPs were selected and analyzed in terms of the sequence space and functional property. The results demonstrate that the functional salvage process not only can be a simple and effective method to create protein lineages with new sequence spaces, but also can be useful in elucidating the involvement of a specific region(s) or domain(s) in the structure and function of protein.

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In Silico Functional Assessment of Sequence Variations: Predicting Phenotypic Functions of Novel Variations

  • Won, Hong-Hee;Kim, Jong-Won
    • Genomics & Informatics
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    • v.6 no.4
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    • pp.166-172
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    • 2008
  • A multitude of protein-coding sequence variations (CVs) in the human genome have been revealed as a result of major initiatives, including the Human Variome Project, the 1000 Genomes Project, and the International Cancer Genome Consortium. This naturally has led to debate over how to accurately assess the functional consequences of CVs, because predicting the functional effects of CVs and their relevance to disease phenotypes is becoming increasingly important. This article surveys and compares variation databases and in silico prediction programs that assess the effects of CVs on protein function. We also introduce a combinatorial approach that uses machine learning algorithms to improve prediction performance.

SSFP Interferometry (SSFPI) Technique Applied to functional MRI - A Fast and Direct Measurement of Magnetic Susceptibility Effect (SSFPI 기법을 이용한 MR 뇌기능 영상 -고 속의 자화율 효과의 직접적인 측정)

  • 정준영
    • Journal of Biomedical Engineering Research
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    • v.17 no.4
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    • pp.525-534
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    • 1996
  • We have developed a fast steady state free precession interferometry (SSFPI) technique which is useful for the fMRl (functional Magnetic Resonance Imaging). As is known, SSFP sequence with a suitable adjustment of Vadient (readeut) allows us to measure precession angle 6 which in tw relates to the field inhomogeneity. Combining the two pulses (known as FID and Echo) in FADE (Fast Acquisition Double Echo) sequence, for example, one can obtain the interference term which is directly related to the precession angle It has been known that a fast high resolution magnetic field mapping is possible by use of the modified FADE sequence or SSFPI, and we have attempted to use the SSFPI technique for the susceptibility-induced fMRl. When the method is applied to the susceptibility effect based functional magnetic resonance imaging (fMRl), it was found that the direct susceptibility effect measurement was possible without perturbations such as the backgrounds and inflow effect. In this paper, simulation results and experimental results obtained with 2.0 Tesla MRI system are presented.

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Molecular Cloning and Expression of Sequence Variants of Manganese Superoxide Dismutase Genes from Wheat

  • Baek, Kwang-Hyun;Skinner, Daniel Z.
    • Korean Journal of Environmental Agriculture
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    • v.29 no.1
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    • pp.77-85
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    • 2010
  • Reactive oxygen species (ROS) are very harmful to living organisms due to the potential oxidation of membrane lipids, DNA, proteins, and carbohydrates. transformed E.coli strain QC 871, superoxide dismutase (SOD) double-mutant, with three sequence variant MnSOD1, MnSOD2, and MnSOD3 manganese superoxide dismutase (MnSOD) gene isolated from wheat. Although all QC 871 transformants grown at $37^{\circ}C$ expressed mRNA of MnSOD variants, only MnSOD2 transformant had functional SOD activity. MnSOD3 expressed active protein when grown at $22^{\circ}C$, however, MnSOD1 did not express functional protein at any growing and induction conditions. The sequence comparison of the wheat MnSOD variants revealed that the only amino acid difference between the sequence MnSOD2 and sequences MnSOD1 and 3 is phenylalanine/serine at position 58 amino acid. We made MnSOD2S58F gene, which was made by altering the phenylalaine to serine at position 58 in MnSOD2. The expressed MnSOD2S58F protein had functional SOD activity, even at higher levels than the original MnSOD2 at all observed temperatures. These data suggest that amino acid variation can result in highly active forms of MnSOD and the MnSOD2S58F gene can be an ideal target used for transforming crops to increase tolerance to environmental stresses.

Development of SCAR Marker for Identification of the Perilla Species

  • Lee, Myoung-Hee;Yang, Ki-Woong;Ha, Tae Joung;Jung, Chan-Sik;Pae, Suk-Bok;Hwang, Chung-Dong;Park, Chang-Hwan;Baek, In-Youl;Kim, Hyeon-Kyeong;Park, Soon-Ki
    • Korean Journal of Breeding Science
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    • v.43 no.4
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    • pp.265-272
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    • 2011
  • This study is to generate SCARs markers for identification of Perilla species. A SCAR is a genomic DNA fragment at a single genetically defined locus that is identified by PCR amplification using a pair of specific oligonucleotide primers. We derived SCARs by sequencing and cloning the both ends of the amplified products of RAPD markers. Sixteen sequence-specific primers were synthesized from eight RAPD markers, which were completely sequenced. We developed the species-specific SCAR markers which could be used successfully in detecting genetic variation in four Perilla species. These markers could be used to verify species-origins of various forms of Perilla germplasms.

Cloning and Characterization of a Gene Encoding 22 kDa Functional Protein of Bacteriophage MB78

  • Gupta, Lalita;Chakravorty, Maharani
    • BMB Reports
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    • v.38 no.2
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    • pp.161-166
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    • 2005
  • Functional protein of MB78 bacteriophage having apparent molecular weight of 22 kDa is expressed from 1.7 kb HindIII G fragment. The nucleotide sequence of this fragment showed two open reading frames of 222 and 196 codons in tail-to-tail orientation separated by a 62-nucleotide intercistronic region. The ORF of 22 kDa protein is present in opposite orientation, i.e. in the complementary strand, preceded by a strong ribosomal binding site and a promoter sequence. Another ORF started from the beginning of the fragment whose promoter region and translational start site lies in the 0.45 kb HincII U fragment which is located next to the HindIII G fragment, that has the sequence for DNA bending. 3' end of the fragment has high sequence homology to the EaA and EaI proteins of bacteriophage P22, a close relative of MB78 phage.