• Title/Summary/Keyword: GCN

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The regulation of stress induced genes by yeast transcription factor GCN4

  • Seong Kimoon;Lee Jae Yung;Kim Joon
    • Proceedings of the Microbiological Society of Korea Conference
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    • 2002.10a
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    • pp.135-139
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    • 2002
  • Yeast cells respond to condition of amino acid starvation by synthesizing GCN4, a typical eukaryotic transcriptional activator, which regulates the expression of many amino acids biosynthetic genes. By introducing point mutations in the DNA binding domain of GCN4, mutants with normal DNA binding activity but defective in transcriptional activity were isolated to identify unknown proteins that could suppress the mutant phenotype under an amino acid depletion condition. As a result, SSB(Stress-Seventy B) subfamily proteins were identified as suppressors of mutant GCN4. SSB proteins were known as a member of yeast hsp70 family that probably aids passage of nascent chain through ribosomes. Among them, the mechanism of suppression by SSB2 on the defective GCN4 mutant strains is under investigation. Gcn4p directly interacts with Ssb2p through the basic DNA binding domain of GCN4. It suggests the possibility that physical interaction might induce the transcriptional activation of Gcn4p.

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Elucidation of Function and Isolation of Trans-acting Factors Regulating the Basal Level Expression of Eukaryotic Genes (진핵세포 유전자의 기초대사 발현을 조절하는 trans 작용인자의 기능해석과 새로운 인자의 분리)

  • 황용일
    • Microbiology and Biotechnology Letters
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    • v.19 no.1
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    • pp.37-44
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    • 1991
  • - I aimed to isolate trans-acting factors involved in the basal expression level of eukaryotic genes. One of the yeast histidine biosynthetic gene, HIS5 was taken as a model for this study. HIS5 gene has a substantial basal level in amino acid rich medium and is derepressed if starved for any single amino acid. The derepression is mediated by cis-acting DNA sequences 5'-TGACTC-3' found in 5' non-transcribed region of the gene and trans-acting factors including GCN4 as positive factor and its negative factor GCDI 7, and GCNZ as a negative factor of GCD17. I first investigated the role of these trans-acting factors in HIS5 basal expression level by using HIS5-pH05 fusion in which expression of pH05 gene encoding inorganic phosphate-repressible acid phosphatase (APase) is regulated by HIS5 promoter. Strain with gcn2 or gcn4 mutation showed 3 to 4 fold lower APase activity than wild type. The level of APase activity was similar in gcn2 and gcn4 mutants. Trans-acting factors involved in basal level were identified by isolating 14 mutants showing increased expression of HISSPH05 fusion from gcn4 background. All the mutants carry a single nuclear recessive mutation and fall into four complementation groups, designated as bell (basal expression level), be12, be23 and be14.

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Direct Interaction Between Akt1 and Gcn5 and its Plausible Function on Hox Gene Expression in Mouse Embryonic Fibroblast Cells

  • Oh, Ji Hoon;Lee, Youra;Kong, Kyoung-Ah;Kim, Myoung Hee
    • Biomedical Science Letters
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    • v.19 no.3
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    • pp.266-269
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    • 2013
  • Hox genes encode transcription factors important for anterior-posterior body patterning at early stages of embryonic development. However, the precise mechanisms by which signal pathways are stimulated to regulate Hox gene expression are not clear. In the previous study, protein kinase B alpha (Akt1) has been identified as a putative upstream regulator of Hox genes, and Akt1 has shown to regulate Gcn5, a prototypical histone acetyltransferase (HAT), in a negative way in mouse embryonic fibroblast (MEF) cells. Since the activity of HAT such as the CBP/p300, and PCAF (a Gcn5 homolog), was down-regulated by Akt through a phosphorylation at the Akt consensus substrate motif (RXRXXS/T), the amino acid sequence of Gcn5 protein was analyzed. Mouse Gcn5 contains an Akt consensus substrate motif as RQRSQS sequence while human Gcn5 does not have it. In order to see whether Akt1 directly binds to Gcn5, immunoprecipitation with anti-Akt1 antibody was carried out in wild-type (WT) mouse embryonic fibroblast (MEF) cells, and then western blot analysis was performed with anti-Akt1 and anti-Gcn5 antibodies. Gcn5 protein was detected in the Akt1 immunoprecipitated samples of MEFs. This result demonstrates that Akt1 directly binds to Gcn5, which might have contributed the down regulation of the 5' Hoxc gene expressions in wild type MEF cells.

Rpn10p is a Receptor for Ubiquitinated Gcn4p in Proteasomal Proteolysis

  • Seong, Ki Moon;Baek, Je-Hyun;Ahn, Byung-Yoon;Yu, Myeong-Hee;Kim, Joon
    • Molecules and Cells
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    • v.24 no.2
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    • pp.194-199
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    • 2007
  • GCN4 is a typical eukaryotic transcriptional activator that is implicated in the expression of many genes involved in amino acids and purine biosyntheses under stress conditions. It is degraded by 26S proteasomes following ubiquitination. However, the immediate receptor for ubiquitinated Gcn4p has not yet been identified. We investigated whether ubiquitinated Gcn4p binds directly to Rpn10p as the ubiquitinated substrate receptor of the 26S proteasome. We found that the level of Gcn4p increased in cells deleted for Rpn10p but not in cells deleted for RAD23 and DSK2, the other ubiquitinated substrate receptors and, unlike Rpn10p, neither of these proteins recognized ubiquitinated Gcn4p. These results suggest that Rpn10p is the receptor that binds the polyubiquitin chain during ubiquitin-dependent proteolysis of Gcn4p.

A Study on GPGPU Performance Improvement Technique on GCN Architecture Using OpenCL API (GCN 아키텍쳐 상에서의 OpenCL을 이용한 GPGPU 성능향상 기법 연구)

  • Woo, DongHee;Kim, YoonHo
    • The Journal of Society for e-Business Studies
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    • v.23 no.1
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    • pp.37-45
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    • 2018
  • The current system upon which a variety of programs are in operation has continuously expanded its domain from conventional single-core and multi-core system to many-core and heterogeneous system. However, existing researches have focused mostly on parallelizing programs based CUDA framework and rarely on AMD based GCN-GPU optimization. In light of the aforementioned problems, our study focuses on the optimization techniques of the GCN architecture in a GPGPU environment and achieves a performance improvement. Specifically, by using performance techniques we propose, we have reduced more then 30% of the computation time of matrix multiplication and convolution algorithm in GPGPU. Also, we increase the kernel throughput by more then 40%.

Post-transcriptional Regulation of Gcn5, a Putative Regulator of Hox in Mouse Embryonic Fibroblast Cells

  • Lee, You-Ra;Oh, Ji-Hoon;Kong, Kyoung-Ah;Kim, Myoung-Hee
    • Biomedical Science Letters
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    • v.18 no.2
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    • pp.165-168
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    • 2012
  • Hox proteins containing DNA-binding homedomain act as transcription factors important for anteroposterior body patterning during vertebrate embryogenesis. However, the precise mechanisms by which signal pathways are transduced to regulate the Hox gene expression are not clear. In the course of an attempt to isolate an upstream regulatory factor(s) controlling Hox genes, protein kinase B alpha (Akt1) has been identified as a putative regulator of Hox genes through in silico analysis (GEO profile). In the Gene Expression Omnibus (GEO) dataset GDS1784 at the NCBI (National Center for Biotechnology Information) site, Hox genes were differentially expressed depending on the presence or absence of Akt1. Since it was not well known how Akt1 regulates the specific Hox genes, whose transcription was reported to be regulated by epigenetic modifications such as histone acetylation, methylation etc., the expression of Gcn5, a histone acetyltransferase (HAT), was analyzed in wild type (WT) as well as in $Akt1^{-/-}$ mouse embryonic fibroblast (MEF) cells. RT-PCR analysis revealed that the amount of Gcn5 mRNA was similar in both WT and $Akt1^{-/-}$ MEFs. However, the protein level of Gcn5 was significantly increased in $Akt1^{-/-}$ MEF cells. The half life of Gcn5 was 1 hour in wild type whereas 8 hours in $Akt1^{-/-}$ MEF. These data all together, indicate that Gcn5 is post-transcriptionally down-regulated and the protein stability is negatively regulated by Akt1 in MEF cells.

Arg243, Invariably Critical for the Transcriptional Activation of Yeast Gcn4p

  • Cho, Gyu-Chull;Lee, Jae-Yung;Kim, Joon
    • Journal of Microbiology
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    • v.37 no.3
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    • pp.154-158
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    • 1999
  • The arginine residue at position 243 (Arg 243) of the yeast transcription factor, Gcn4p, is invariably conserved among bZIP transcription factors. Using site-directed oligonucleotide saturation mutagenesis involving two-step polymerase chain reaction (PCR) amplification, random mutations were successfully introduced at the codon of 243 in the basic domain of Gcn4p. This mutant library was transformed ito Gcn4p defective yeast strain and selected for the transcriptionally active colonies. All colonies which were transcriptionally active had arginines in the codon 243. In this study, the strand preference by Taq polymerase during mutagenesis was also tested. Oligonucleotides were specially designed to test whether or not the polymerase was preferred using the strand as a template. A population of randomly mutated products were cloned into an appropriate vector and characterized by DNA sequencing analysis. Saturation mutagenesis which was performed efficiently by this method revealed a strong bias in terms of strand preference of Taq polymerase by an approximate ratio of 3 to 1 in this study.

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Design and implementation of malicious comment classification system using graph structure (그래프 구조를 이용한 악성 댓글 분류 시스템 설계 및 구현)

  • Sung, Ji-Suk;Lim, Heui-Seok
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.23-28
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    • 2020
  • A comment system is essential for communication on the Internet. However, there are also malicious comments such as inappropriate expression of others by exploiting anonymity online. In order to protect users from malicious comments, classification of malicious / normal comments is necessary, and this can be implemented as text classification. Text classification is one of the important topics in natural language processing, and studies using pre-trained models such as BERT and graph structures such as GCN and GAT have been actively conducted. In this study, we implemented a comment classification system using BERT, GCN, and GAT for actual published comments and compared the performance. In this study, the system using the graph-based model showed higher performance than the BERT.

Site-Directed Saturation Mutagenesis of Yeast Gcn4p at Codon 242

  • Lee, Jae-Yung;Bae, Yu-Byung;Kim, Jung-Ae;Song, Jae-Mahn;Choe, Mu-Hyeon;Kim, Ick-Young;Kim, Joon
    • Journal of Microbiology and Biotechnology
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    • v.9 no.1
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    • pp.122-125
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    • 1999
  • Gcn4p, a transcriptional activator protein of the yeast, Sacchromyces cerevisiae, binds to the specific sequence in the promoters of many amino acid biosynthetic genes for general control. The serine residue (Ser 242) of Gcn4p directly contacts the DNA. Here, for inspecting the DNA binding properties and the level of transcriptional activation of Gcn4p, we introduced a polymerase chain reaction (PCR) site-directed saturation mutation library into the Ser 242 site using 2 outside primers and 2 oligonucleotides with its codons fully degenerated. The sequencing analysis of 146 samples revealed the even nucleotide distribution within the experimental error showing 23, 26, 25, and 26% frequency of U, C, A, and G bases, respectively. This method turned out to be a simple, fast, and economical method for constructing a library of all 20 amino acids at specific codon.

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Recognition of Fire Situation Using GCN model (GCN 모델을 이용한 화재 상황인식)

  • Si Jin Kim;Ji Su Park;Jin Gon Shon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.652-655
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    • 2023
  • 우리나라에서는 지난 10년간 매년 4만 건 내외의 화재가 발생하여 많은 인명 피해와 경제적 손실이 발생하고 있다. 화재가 발생했을 때는 화재를 신속히 진압하여 인명 피해와 경제적 손실을 최소화하여야 한다. 또한, 화재 사고를 예방하기 위해 화재의 발화 원인이 무엇인지 알아내야 한다. 기존의 화재 경보 시스템에서는 온도, 연기, 불꽃 센서 등으로 화재를 감지하였으나 오경보나 화재를 인식하지 못하는 문제, 화재 원인을 구분하지 못하는 문제 등이 있었다. 또한, 사람이 화재 발생을 인지하기까지 시간이 많이 소요될 수 있고 부재로 인해 화재 상황인식이 늦어질 수도 있는 문제가 있었다. 이러한 문제를 해결하기 위해 본 논문에서는 GCN(Graph Convolutional Network) 모델을 이용하여 화재 상황에서의 복합 센서 상황을 학습해서 실제 화재 사고가 발생했을 때 화재의 원인을 구분할 수 있는 모델을 제안한다.