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Hyung Suk Baik 5 Articles
Molecular epidemiology of norovirus in asymptomatic food handlers in Busan, Korea, and emergence of genotype GII.17
Hee Soo Koo , Mi Ok Lee , Pyeong Tae Ku , Su Jeong Hwang , Dong Ju Park , Hyung Suk Baik
J. Microbiol. 2016;54(10):686-694.   Published online September 30, 2016
DOI: https://doi.org/10.1007/s12275-016-6312-4
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AbstractAbstract PDF
The molecular epidemiology of norovirus infections was studied in food handlers without any symptoms from January to December 2015 in Busan city, Korea. A total of 2,174 fecal specimens from asymptomatic food handlers were analyzed, and 2.3% (49/2,174) were norovirus-positive. Fourteen of 335 samples (4.2%) were positive in January; fifteen of 299 samples (5.0%) in February, and seven of 189 samples (3.7%) in December. However, norovirus was rarely detected in other months. From sequencing analysis, 11 genotypes (five GI and six GII genotypes) were detected. Among the 42 capid gene sequences identified, 14 were from the GI genogroup, while 28 were from the GII genogroup. The most commonly detected genotype was GII.17, comprising 15 (35.7%) of positive samples. From January 2012 to December 2015, 5,138 samples were collected from gastroenteritis patients and outbreaks in Busan. The most detected genotype in 2012, 2013, and 2014 was GII.4 (121, 24, and 12 cases, respectively), but in 2015, GII.17 (25 cases) was the most common. The GII.4 genotype was the major cause of acute gastroenteritis from 2012 to 2014, but the GII.17 genotype became the most prevalent cause in 2015. Continued epidemiological surveillance of GII.17 is needed, together with assessment of the risk of norovirus infection.

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  • Molecular Epidemiology of Norovirus Outbreaks in Food-Catering Facilities in Busan, 2021–2024
    Hee-Soo Koo, Hyeon-Jin Kim, Seon-Young Kim, Jung-Hye Choi, Byung-Jun Kim
    Journal of Bacteriology and Virology.2025; 55(4): 360.     CrossRef
  • Global prevalence of norovirus gastroenteritis after emergence of the GII.4 Sydney 2012 variant: a systematic review and meta-analysis
    Pan Zhang, Cai Hao, Xie Di, Xue Chuizhao, Li Jinsong, Zheng Guisen, Liu Hui, Duan Zhaojun
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Norovirus antivirals: Where are we now?
    Natalie E. Netzler, Daniel Enosi Tuipulotu, Peter A. White
    Medicinal Research Reviews.2019; 39(3): 860.     CrossRef
  • Antiviral activity of Schizonepeta tenuifolia Briquet against noroviruses via induction of antiviral interferons
    Yee Ching Ng, Ye Won Kim, Jeong-Su Lee, Sung Joon Lee, Moon Jung Song
    Journal of Microbiology.2018; 56(9): 683.     CrossRef
  • Emerging recombinant noroviruses identified by clinical and waste water screening
    Jennifer H. Lun, Joanne Hewitt, Alefiya Sitabkhan, John-Sebastian Eden, Daniel Enosi Tuipulotu, Natalie E. Netzler, Leigh Morrell, Juan Merif, Richard Jones, Bixing Huang, David Warrilow, Kelly-Anne Ressler, Mark J. Ferson, Dominic E. Dwyer, Jen Kok, Will
    Emerging Microbes & Infections.2018; 7(1): 1.     CrossRef
  • Epidemiological characteristics of asymptomatic Norovirus infection in a population from oyster (Ostrea rivularis Gould) farms in southern China
    Anna Wang, Qiong Huang, Lin Qin, Xianwu Zhong, Hui Li, Rongfeng Chen, Zhuang Wan, Hong Lin, Junhua Liang, Jiansen Li, Yali Zhuang, Yonghui Zhang
    Epidemiology and Infection.2018; 146(15): 1955.     CrossRef
  • Ice-associated norovirus outbreak predominantly caused by GII.17 in Taiwan, 2015
    Hao-Yuan Cheng, Min-Nan Hung, Wan-Chin Chen, Yi-Chun Lo, Ying-Shih Su, Hsin-Yi Wei, Meng-Yu Chen, Yen-Chang Tuan, Hui-Chen Lin, Hsu-Yang Lin, Tsung-Yen Liu, Yu-Ying Wang, Fang-Tzy Wu
    BMC Public Health.2017;[Epub]     CrossRef
  • Current Status of Norovirus Food Poisoning Related to Bivalve Mollusk and Its Control Measures
    Mamoru NODA
    Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi).2017; 58(1): 12.     CrossRef
  • Occurrence of norovirus infection in an asymptomatic population in Indonesia
    Takako Utsumi, Maria Inge Lusida, Zayyin Dinana, Rury Mega Wahyuni, Laura Navika Yamani, Juniastuti, Soetjipto, Chieko Matsui, Lin Deng, Takayuki Abe, Yen Hai Doan, Yoshiki Fujii, Hirokazu Kimura, Kazuhiko Katayama, Ikuo Shoji
    Infection, Genetics and Evolution.2017; 55: 1.     CrossRef
  • Foodborne Infectious Diseases Mediated by Inappropriate Infection Control in Food Service Businesses and Relevant Countermeasures in Korea
    Jong Myong Park, Young-Hyun You, Hyun-Min Cho, Ji Won Hong, Sa-Youl Ghim
    Osong Public Health and Research Perspectives.2017; 8(3): 159.     CrossRef
The hrp pathogenicity island of Pseudomonas syringae pv. tomato DC3000 is induced by plant phenolic acids
Jun Seung Lee , Hye Ryun Ryu , Ji Young Cha , Hyung Suk Baik
J. Microbiol. 2015;53(10):725-731.   Published online October 2, 2015
DOI: https://doi.org/10.1007/s12275-015-5256-4
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AbstractAbstract PDF
Plants produce a wide array of antimicrobial compounds, such as phenolic compounds, to combat microbial pathogens. The hrp PAI is one of the major virulence factors in the plant pathogen, Pseudomonas syringae. A major role of hrp PAI is to disable the plant defense system during bacterial invasion. We examined the influence of phenolic compounds on hrp PAI gene expression at low and high concentrations. There was approximately 2.5 times more hrpA and hrpZ mRNA in PtoDC3000 that was grown in minimal media (MM) supplemented with 10 μM of ortho-coumaric acid than in PtoDC3000 grown in MM alone. On the other hand, a significantly lower amount of hrpA mRNA was observed in bacteria grown in MM supplemented with a high concentration of phenolic compounds. To determine the regulation pathway for hrp PAI gene expression, we performed qRTPCR using gacS, gacA, and hrpS deletion mutants.

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  • Liebig review: The role of mineral nutrients in the development of Pseudomonas syringae diseases—Lessons learned and implications for disease control in woody plants
    Nathalie Soethe, Michelle T. Hulin, Antje Balasus, Gail Preston, Christoph‐Martin Geilfus
    Journal of Plant Nutrition and Soil Science.2024; 187(3): 301.     CrossRef
  • Regulation of the Pseudomonas syringae Type III Secretion System by Host Environment Signals
    Megan R. O’Malley, Jeffrey C. Anderson
    Microorganisms.2021; 9(6): 1227.     CrossRef
  • Quantification of Viable Cells of Pseudomonas syringae pv. tomato in Tomato Seed Using Propidium Monoazide and a Real-Time PCR Assay
    A-li Chai, Hai-yan Ben, Wei-tao Guo, Yan-xia Shi, Xue-wen Xie, Lei Li, Bao-ju Li
    Plant Disease.2020; 104(8): 2225.     CrossRef
  • Validation of RT-qPCR Approaches to MonitorPseudomonas syringaeGene Expression During Infection and Exposure to Pattern-Triggered Immunity
    Amy Smith, Amelia H. Lovelace, Brian H. Kvitko
    Molecular Plant-Microbe Interactions®.2018; 31(4): 410.     CrossRef
  • Multidrug Efflux Pumps at the Crossroad between Antibiotic Resistance and Bacterial Virulence
    Manuel Alcalde-Rico, Sara Hernando-Amado, Paula Blanco, José L. Martínez
    Frontiers in Microbiology.2016;[Epub]     CrossRef
  • Global Analysis of Type Three Secretion System and Quorum Sensing Inhibition of Pseudomonas savastanoi by Polyphenols Extracts from Vegetable Residues
    Carola Biancalani, Matteo Cerboneschi, Francesco Tadini-Buoninsegni, Margherita Campo, Arianna Scardigli, Annalisa Romani, Stefania Tegli, Boris Alexander Vinatzer
    PLOS ONE.2016; 11(9): e0163357.     CrossRef
Protein-Protein Interactions between Histidine Kinases and Response Regulators of Mycobacterium tuberculosis H37Rv
Ha-Na Lee , Kwang-Eun Jung , In-Jeong Ko , Hyung Suk Baik , Jeong-Il Oh
J. Microbiol. 2012;50(2):270-277.   Published online April 27, 2012
DOI: https://doi.org/10.1007/s12275-012-2050-4
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AbstractAbstract PDF
Using yeast two-hybrid assay, we investigated protein-protein interactions between all orthologous histidine kinase (HK)/response regulator (RR) pairs of M. tuberculosis H37Rv and identified potential protein-protein interactions between a noncognate HK/RR pair, DosT/NarL. The protein interaction between DosT and NarL was verified by phosphotransfer reaction from DosT to NarL. Furthermore, we found that the DosT and DosS HKs, which share considerable sequence similarities to each other and form a twocomponent system with the DosR RR, have different crossinteraction capabilities with NarL: DosT interacted with NarL, while DosS did not. The dimerization domains of DosT and DosS were shown to be sufficient to confer specificity for DosR, and the different cross-interaction abilities of DosS and DosT with NarL were demonstrated to be attributable to variations in the amino acid sequences of the α2-helices of their dimerization domains.

Citations

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  • Multiple input–multiple output (MIMO) designs in two-component signalling systems of Mycobacterium tuberculosis
    Devendra Pratap Singh, Gayathri A S, Ramandeep Singh, Narendra M Dixit, Deepak Kumar Saini, Michael Bott
    FEMS Microbiology Reviews.2026;[Epub]     CrossRef
  • Activation of the MprBA two-component system in Mycobacterium smegmatis under acidic and respiration-inhibitory conditions and crosstalk between MprA and KdpD
    Yun-Kyung Kim, Ye-Jin Lee, Jeong-Il Oh, Patricia A. Champion
    Journal of Bacteriology.2026;[Epub]     CrossRef
  • Harnessing hypoxia: bacterial adaptation and chronic infection in cystic fibrosis
    Ciarán J Carey, Niamh Duggan, Joanna Drabinska, Siobhán McClean
    FEMS Microbiology Reviews.2025;[Epub]     CrossRef
  • Modulators targeting protein-protein interactions in Mycobacterium tuberculosis
    Guofeng Luo, Tianqi Ming, Luchuan Yang, Lei He, Tao Tao, Yanmei Wang
    Microbiological Research.2024; 284: 127675.     CrossRef
  • Dual functioning by the PhoR sensor is a key determinant to Mycobacterium tuberculosis virulence
    Prabhat Ranjan Singh, Harsh Goar, Partha Paul, Khushboo Mehta, Bhanwar Bamniya, Anil Kumar Vijjamarri, Roohi Bansal, Hina Khan, Subramanian Karthikeyan, Dibyendu Sarkar, Danielle A. Garsin
    PLOS Genetics.2023; 19(12): e1011070.     CrossRef
  • Phosphoproteomics of Mycobacterium-host interaction and inspirations for novel measures against tuberculosis
    Zilu Wang, Jianping Xie
    Cellular Signalling.2022; 91: 110238.     CrossRef
  • PrrA modulates Mycobacterium tuberculosis response to multiple environmental cues and is critically regulated by serine/threonine protein kinases
    David Giacalone, Rochelle E. Yap, Alwyn M. V. Ecker, Shumin Tan, Danielle A. Garsin
    PLOS Genetics.2022; 18(8): e1010331.     CrossRef
  • Sensing of O2 and nitrate by bacteria: alternative strategies for transcriptional regulation of nitrate respiration by O2 and nitrate
    Gottfried Unden, Robin Klein
    Environmental Microbiology.2021; 23(1): 5.     CrossRef
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    Eduardo H.S. Sousa, Marta S.P. Carepo, José J.G. Moura
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    Huiqing Zheng, John T. Williams, Bilal Aleiwi, Edmund Ellsworth, Robert B. Abramovitch
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  • Acetylation of Response Regulator Proteins, TcrX and MtrA in M. tuberculosis Tunes their Phosphotransfer Ability and Modulates Two-Component Signaling Crosstalk
    Krishna Kumar Singh, Neerupma Bhardwaj, Gaurav D. Sankhe, Niveda Udaykumar, Rambir Singh, Vandana Malhotra, Deepak Kumar Saini
    Journal of Molecular Biology.2019; 431(4): 777.     CrossRef
  • In Vivo Methods to Study Protein–Protein Interactions as Key Players in Mycobacterium Tuberculosis Virulence
    Romain Veyron-Churlet, Camille Locht
    Pathogens.2019; 8(4): 173.     CrossRef
  • Dual control of RegX3 transcriptional activity by SenX3 and PknB
    Eun-Jin Park, Yu-Mi Kwon, Jin-Won Lee, Ho-Young Kang, Jeong-Il Oh
    Journal of Biological Chemistry.2019; 294(28): 11023.     CrossRef
  • Oxygen triggers signal transduction in the DevS (DosS) sensor of Mycobacterium tuberculosis by modulating the quaternary structure
    Josiane Bezerra da Silva Lobão, Ana C. S. Gondim, Wellinson G. Guimarães, Marie‐Alda Gilles‐Gonzalez, Luiz Gonzaga de França Lopes, Eduardo H. S. Sousa
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    Molecules and Cells.2017; 40(9): 632.     CrossRef
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    Biochemical Journal.2015; 469(1): 121.     CrossRef
  • Phylogenomics of Mycobacterium Nitrate Reductase Operon
    Qinqin Huang, Abualgasim Elgaili Abdalla, Jianping Xie
    Current Microbiology.2015; 71(1): 121.     CrossRef
  • Genome-wide prediction of prokaryotic two-component system networks using a sequence-based meta-predictor
    Altan Kara, Martin Vickers, Martin Swain, David E. Whitworth, Narcis Fernandez-Fuentes
    BMC Bioinformatics.2015;[Epub]     CrossRef
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    Tanya Parish, Graham F. Hatfull, William R. Jacobs Jr.
    Microbiology Spectrum.2014;[Epub]     CrossRef
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    Ruchi Agrawal, Deepak Kumar Saini
    Biochemical and Biophysical Research Communications.2014; 446(4): 1172.     CrossRef
  • Serine 83 in DosR, a response regulator from Mycobacterium tuberculosis, promotes its transition from an activated, phosphorylated state to an inactive, unphosphorylated state
    Ha Yeon Cho, Beom Sik Kang
    Biochemical and Biophysical Research Communications.2014; 444(4): 651.     CrossRef
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The Influence of the Nucleotide Sequences of Random Shine-Dalgarno and Spacer Region on Bovine Growth Hormone Gene Expression
Soon-Young Paik , Kyung Soo Ra , Hoon Sik Cho , Kwang Bon Koo , Hyung Suk Baik , Myung Chul Lee , Jong Won Yun , Jang Won Choi
J. Microbiol. 2006;44(1):64-71.
DOI: https://doi.org/2335 [pii]
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AbstractAbstract PDF
To investigate the effects of the nucleotide sequences in Shine-Dalgarno (SD) and the spacer region (SD-ATG) on bovine growth hormone (bGH) gene expression, the expression vectors under the control of the T7 promoter (pT7-7 vector) were constructed using bGH derivatives (bGH1 & bGH14) which have different 5''-coding regions and were induced in E. coli BL21(DE3). Oligonucleotides containing random SD sequences and a spacer region were chemically synthesized and the distance between the SD region and the initiation codon were fixed to nine bases in length. The oligonucleotides were annealed and fused to the bGH1 and bGH14 cDNA, respectively. When the bGH gene was induced with IPTG in E. coli BL21(DE3), some clones containing only bGH14 cDNA produced considerable levels of bGH in the range of 6.9% to 8.5% of total cell proteins by SDS-PAGE and Western blot. Otherwise, the bGH was not detected in any clones with bGH1 cDNA. Accordingly, the nucleotide sequences of SD and the spacer region affect on bGH expression indicates that the sequences sufficiently destabilize the mRNA secondary structure of the bGH14 gene. When the free energy was calculated from the transcription initiation site to the +51 nucleotide of bGH cDNA using a program of nucleic acid folding and hybridization prediction, the constructs with values below ‒26.3 kcal/mole (toward minus direction) were not expressed. The constructs with the original sequence of bGH cDNA also did not show any expression, regardless of the free energy values. Thus, the disruption of the mRNA secondary structure may be a major factor regulating bGH expression in the translation initiation process. Accordingly, the first stem-loop among two secondary structures present in the 5''-end region of the bGH gene should be disrupted for the effective expression of bGH.
Characterization, Cloning and Expression of the Ferritin Gene from the Korean Polychaete, Periserrula leucophryna
Byeong Ryong Jeong , Su-Mi Chung , Nam Joo Baek , Kwang Bon Koo , Hyung Suk Baik , Han-Seung Joo , Chung-Soon Chang , Jang Won Choi
J. Microbiol. 2006;44(1):54-63.
DOI: https://doi.org/2336 [pii]
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AbstractAbstract PDF
Ferritin is a major eukaryotic protein and in humans is the protein of iron storage. A partial gene fragment of ferritin (255 bp) taken from the total RNA of Periserrula leucophryna, was amplified by RT-PCR using oligonucleotide primers designed from the conserved metal binding domain of eukaryotic ferritin and confirmed by DNA sequencing. Using the 32P-labeled partial ferritin cDNA fragment, 28 different clones were obtained by the screening of the P. leucophryna cDNA library prepared in the Uni-ZAP XR vector, sequenced and characterized. The longest clone was named the PLF (Periserrula leucophryna ferritin) gene and the nucleotide and amino acid sequences of this novel gene were deposited in the GenBank databases with accession numbers DQ207752 and ABA55730, respectively. The entire cDNA of PLF clone was 1109 bp (CDS: 129-653), including a coding nucleotide sequence of 525 bp, a 5''-untranslated region of 128 bp, and a 3''-noncoding region of 456 bp. The 5''-UTR contains a putative iron responsive element (IRE) sequence. Ferritin has an open reading frame encoding a polypeptide of 174 amino acids including a hydrophobic signal peptide of 17 amino acids. The predicted molecular weights of the immature and mature ferritin were calculated to be 20.3 kDa and 18.2 kDa, respectively. The region encoding the mature ferritin was subcloned into the pT7-7 expression vector after PCR amplification using the designed primers and included the initiation and termination codons; the recombinant clones were expressed in E. coli BL21(DE3) or E. coli BL21(DE3)pLysE. SDS-PAGE and western blot analysis showed that a ferritin of approximately 18 kDa (mature form) was produced and that by iron staining in native PAGE, it is likely that the recombinant ferritin is correctly folded and assembled into a homopolymer composed of a single subunit.

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