연구실소식 : ) 게시판목록 | 성균관대학교 융합생명공학과

(양유수 교수) 유전자·세포 리프로그래밍 연구실 소개

① 연구실명: 유전자·세포 리프로그래밍 연구실/Reprogramming Genetic Code for Disease Engineering (ReCode) Laboratory ② 지도교수명: 양유수 교수(Prof. Yang, Yoosoo) ③ 연구실 소개: 안녕하세요 성균관대학교 생명공학대학 융합생명공학과 'ReCode 연구실' 입니다. 저희 연구팀은 혁신적인 다학제적 접근으로 면역 미세환경을 리프로그래밍해 난치성 질환의 치료 저항성을 극복하고 무너진 면역 균형을 회복하는 데 주력하고 있습니다. 이를 위해 세포외소포(EV), 항체 약물 접합체(ADC), 펩타이드 약물 접합체(PDC), 지질 나노입자(LNP) 등 리프로그래밍 플랫폼을 개발하고 PROTAC, miRNA, siRNA, mRNA와 같은 리프로그래밍 도구를 활용해 유전자 발현과 단백질 활성을 정교하게 조절합니다. 이러한 기술을 융합함으로써 세포 기능과 면역 반응을 새롭게 조정하여 난치성 질환을 겨냥한 맞춤형 표적 치료법을 창출합니다. Our team, “ReCode Laboratory” focuses on reprogramming the immune microenvironment to address intractable diseases. Our goal is to overcome therapeutic resistance and restore immune balance through innovative and multidisciplinary approaches. To this end, we develop advanced delivery platforms—such as extracellular vesicles (EVs), antibody-drug conjugates (ADCs), peptide-drug conjugates (PDCs), and lipid nanoparticles (LNPs)—to enable the targeted and efficient delivery of molecular reprogramming tools. These include PROTACs, microRNAs (miRNAs), small interfering RNAs (siRNAs), and messenger RNAs (mRNAs), which allow precise modulation of gene expression and protein function. By integrating these technologies, we reprogram cellular functions and immune responses, ultimately creating personalized and targeted therapies for hard-to-treat diseases. ④ 연구분야: 유전자 및 세포 리프로그래밍/Gene and Cell therapy ⑤ 대표연구 실적: (1) Choi, J., Park, B., Park, J. Y., Shin, D., Lee, S., Yoon, H. Y., Kim, K., Kim, S. H., Kim, Y., Yang, Y., & Shim, M. K. (2024). Light-Triggered PROTAC Nanoassemblies for Photodynamic IDO Proteolysis in Cancer Immunotherapy. Advanced materials, 36(38), e2405475. https://doi.org/10.1002/adma.202405475 (2) Jang, H., Choi, J., Park, D., Han, G., Kim, E. H., Kim, K., Kim, S. H., Shim, M. K., & Yang, Y. (2024). Milk-derived extracellular vesicles enable gut-to-tumor oral delivery of tumor-activated doxorubicin prodrugs. Theranostics, 14(14), 5413–5428. https://doi.org/10.7150/thno.97269 (3) Lee, J. W., Yoon, H. Y., Ko, Y. J., Kim, E. H., Song, S., Hue, S., Gupta, N., Malin, D., Kim, J., Kong, B., Kim, S., Kim, I. S., Kwon, I. C., Yang, Y., & Kim, S. H. (2024). Dual-Action Protein-siRNA Conjugates for Targeted Disruption of CD47-Signal Regulatory Protein α Axis in Cancer Therapy. ACS nano, 18(33), 22298–22315. https://doi.org/10.1021/acsnano.4c06471 (4) Kim, Y., Choi, J., Kim, E. H., Park, W., Jang, H., Jang, Y., Chi, S. G., Kweon, D. H., Lee, K., Kim, S. H., & Yang, Y. (2024). Design of PD-L1-Targeted Lipid Nanoparticles to Turn on PTEN for Efficient Cancer Therapy. Advanced science, 11(22), e2309917. https://doi.org/10.1002/advs.202309917 (5) Han, G., Kim, H., Jang, H., Kim, E. S., Kim, S. H., & Yang, Y. (2023). Oral TNF-α siRNA delivery via milk-derived exosomes for effective treatment of inflammatory bowel disease. Bioactive materials, 34, 138–149. https://doi.org/10.1016/j.bioactmat.2023.12.010 (6) Kim, H., Park, H. J., Chang, H. W., Back, J. H., Lee, S. J., Park, Y. E., Kim, E. H., Hong, Y., Kwak, G., Kwon, I. C., Lee, J. E., Lee, Y. S., Kim, S. Y., Yang, Y., & Kim, S. H. (2022). Exosome-guided direct reprogramming of tumor-associated macrophages from protumorigenic to antitumorigenic to fight cancer. Bioactive materials, 25, 527–540. https://doi.org/10.1016/j.bioactmat.2022.07.021 (7) Kim, G. B., Nam, G. H., Hong, Y., Woo, J., Cho, Y., Kwon, I. C., Yang, Y., & Kim, I. S. (2020). Xenogenization of tumor cells by fusogenic exosomes in tumor microenvironment ignites and propagates antitumor immunity. Science advances, 6(27), eaaz2083. https://doi.org/10.1126/sciadv.aaz2083 (8) Hong, Y., Nam, G., Koh, E., Jeon, S., Kim, G. B., Jeong, C., Kim, D., Yang, Y., & Kim, I. (2018). Exosome as a vehicle for delivery of membrane protein therapeutics, PH20, for enhanced tumor penetration and antitumor efficacy. Advanced Functional Materials, 28(17). https://doi.org/10.1002/adfm.201801301 (9) Koh, E., Lee, E. J., Nam, G. H., Hong, Y., Cho, E., Yang, Y., & Kim, I. S. (2017). Exosome-SIRPα, a CD47 blockade increases cancer cell phagocytosis. Biomaterials, 121, 121–129. https://doi.org/10.1016/j.biomaterials.2017.01.004 (10) Yang, Y., Hong, Y., Nam, G. H., Chung, J. H., Koh, E., & Kim, I. S. (2017). Virus-Mimetic Fusogenic Exosomes for Direct Delivery of Integral Membrane Proteins to Target Cell Membranes. Advanced materials, 29(13), 10.1002/adma.201605604. https://doi.org/10.1002/adma.201605604 ⑥ 대표전화: 추후안내 ⑦ 위치: 생명공학관 61동 1층 61106A, B호
- 작성일 2025-04-18
- 조회수 1533
(백가현 교수) 바이오에너지공학 연구실 소개

① 연구실명 : 바이오에너지공학연구실/ (Integrative Bioenergy Engineering Lab) ② 지도교수명 : 백가현 교수(Prof. Gahyun Baek) ③ 연구실 소개 안녕하세요, i-BEL은 성균관대학교(SKKU) 융합생명공학과 백가현 교수님이 지도하시는 연구실입니다. 저희는 생명공학, 환경공학, 전기화학 기술 등의 분야를 통합하여 효율적이고 지속가능한 새로운 바이오에너지 기술을 개발하는 것을 목표로 합니다. 또한 지속가능한 발전을 위해 생물학적 과정을 활용한 탄소중립 기술 개발에도 높은 관심을 갖고 있습니다. 저희 연구실의 대표 전화는 031-290-7890이며 이메일 주소는 gbaek@skku.edu이오니 관심있는 분들께서는 언제든 연락주시기 바랍니다. 감사합니다. i-BEL is a is a newly established laboratory under the supervision of Prof. Gahyun Baek in the Department of Integrative Biotechnology at Sungkyunkwan University (SKKU). We aim to develop new efficient and sustainable bioenergy technologies by integrating biotechnology, environmental engineering, electrochemistry, and other fields. We are also highly interested in developing carbon neutralization technologies using biological processes for sustainable development. ④ 연구분야 폐기물로부터 바이오에너지 · 바이오연료 생산 / 이산화탄소 환원을 통한 미생물 전기합성 / 미생물 군집 구조의 전기적 합성 / 미생물 전기화학 기술을 이용한 친환경 수소 생산 Bioenergy · biofuel production from wastes / Microbial electrosynthesis from carbon dioxide reduction / Electrical syntrophy in microbial community structure / Green hydrogen production using microbial electrochemical technologies ⑤ 대표연구 실적 ■ Y Choi., ... , G Baek*, & C Lee. “Comparative study of exoelectrogenic utilization preferences and hydrogen conversion among major fermentation products in microbial electrolysis cells.” Bioresource Technology, vol. 393, Feb. 2024, p. 130032, https://doi.org/10.1016/j.biortech.2023.130032. , Impact factor - 11.4 ■ Y Choi., ... , G Baek*, & C Lee. “A study of electron source preference and its impact on hydrogen production in microbial electrolysis cells fed with synthetic fermentation effluent.” Bioengineered, vol. 14, no. 1, 20 Aug. 2023, https://doi.org/10.1080/21655979.2023.2244759. ■ G Baek* and Bruce E. Logan. “A comprehensive analysis of key factors influencing methane production from CO2 using microbial methanogenesis cells.” Water Research, vol. 245, Oct. 2023, p. 120657, https://doi.org/10.1016/j.watres.2023.120657., Impact factor - 12.8 ■ G Baek*, et al. “Challenges in engineering direct interspecies electron transfer for enhanced methanogenesis.” Renewable and Sustainable Energy Reviews, vol. 183, Sept. 2023, p. 113503, https://doi.org/10.1016/j.rser.2023.113503., Impact factor - 15.9 ■ G Baek*, C Lee, et al. “Machine Learning Approach for predicting anaerobic digestion performance and stability in direct interspecies electron transfer-stimulated environments.” Biochemical Engineering Journal, vol. 193, Apr. 2023, p. 108840, https://doi.org/10.1016/j.bej.2023.108840. Impact factor -3.9 ■ D Kim, G Baek*, C Lee, et al. “Potential treatment of aged cow manure using spare capacity in anaerobic digesters treating a mixture of food waste and pig manure.” Waste Management, vol. 148, July 2022, pp. 22–32, https://doi.org/10.1016/j.wasman.2022.05.016. Impact factor - 8.1 ■ G Baek*, Bruce E. Logan, et al. “High-rate microbial electrosynthesis using a zero-gap flow cell and vapor-fed anode design.” Water Research, vol. 219, July 2022, p. 118597, https://doi.org/10.1016/j.watres.2022.118597. Impact factor - 12.8 ■ Ruggero Rossi, G Baek*, Bruce E. Logan, et al. “Pilot scale microbial fuel cells using air cathodes for producing electricity while treating wastewater.” Water Research, vol. 215, May 2022, p. 118208, https://doi.org/10.1016/j.watres.2022.118208. Impact factor - 12.8 ■ G Baek*, Le Shi, Bruce E. Logan, et al. “Using copper-based biocathodes to improve carbon dioxide conversion efficiency into methane in microbial methanogenesis cells.” Chemical Engineering Journal, vol. 435, May 2022, p. 135076, https://doi.org/10.1016/j.cej.2022.135076. Impact factor -15.1 ■ Ruggero Rossi, G Baek* and Bruce E. Logan. “Vapor-fed cathode microbial electrolysis cells with closely spaced electrodes enables greatly improved performance.” Environmental Science & Technology, vol. 56, no. 2, 31 Dec. 2021, pp. 1211–1220, https://doi.org/10.1021/acs.est.1c06769. ■ G Baek*, K Kim, and Bruce E. Logan. “Impact of surface area and current generation of microbial electrolysis cell electrodes inserted into anaerobic digesters.” Chemical Engineering Journal, vol. 426, Dec. 2021, p. 131281, https://doi.org/10.1016/j.cej.2021.131281. Impact factor - 15.1 ⑥ 대표전화 : 031-290-7890 ⑦ 위치 : 생명공학관 62동 3층 62303
- 작성일 2024-02-26
- 조회수 4677
(박우람 교수) 첨단 바이오의약품 전달 연구실 소개

① 연구실명 : 첨단 바이오의약품 전달 연구실/ (Advanced Biologics Delivery (ABD) Laboratory) ② 지도교수명 : 박우람 교수(Prof. Park, Wooram) ③ 연구실 소개 저희 연구팀은 융합 생명공학 지식에 기반한 다학제적인 연구를 통해서 질병으로 고통받고 있는 이들을 돕기 위한 첨단 바이오의약품 전달 기술들을 개발하고 있습니다. 의생명 분야에서 풀기 어려운 문제들을 탐색하고, 생명공학, 재료공학, 화학공학, 면역학과 같은 다학제적 연구분야의 지식을 활용하여 그 한계들을 극복할 수 있는 첨단기술들을 개발하기 위해 노력하고 있습니다. / We are developing advanced biologics delivery technologies to help those suffering from diseases through multidisciplinary research based on integrative biotechnology knowledge. We are mainly focusing on exploring the challenges in the biomedical fields that are difficult to solve and trying to develop advanced technologies to overcome the current limitations by utilizing the knowledge from multidisciplinary research fields such as Biotechnology, Material Engineering, Chemical Engineering, and Immunology. ④ 연구분야 바이오의약품 전달/Biologics Delivery ⑤ 대표연구 실적 ■ (2022) Image-Guided In Situ Cancer Vaccination with Combination of Multi-Functional Nano-Adjuvant and an Irreversible Electroporation Technique. BIOMATERIALS. 289 ■ (2022) Reactive Oxygen Species Responsive Cleavable Hierarchical Metallic Supra-Nanostructure. SMALL. 1, 1 ■ (2022) Flexible 3D Nanonetworked Silica Film as a Polymer-Free Drug-Eluting Stent Platform to Effectively Suppress Tissue Hyperplasia in Rat Esophagus. ADVANCED HEALTHCARE MATERIALS. 11, 14 ■ (2022) Combination of Metal-Phenolic Network-Based Immunoactive Nanoparticles and Bipolar Irreversible Electroporation for Effective Cancer Immunotherapy. SMALL. 18, 25" ⑥ 대표전화 : 031-299-4851 ⑦ 위치 : 생명공학관 62동 3층 62351A 및 62351B
- 작성일 2022-09-19
- 조회수 10241
(이상섭 특임교수) 유용미생물자원개발 연구실 소개

① 연구실명 : 유용미생물자원개발 연구실(Lab. Of Effective Microorganisms Resources ) ② 지도교수명 : 이상섭 특임교수(Distitingusied Proffessor Sang-Seob Lee) ③ 연구실 소개 ( https://kemb.or.kr/lab) 유용미생물자원개발연구실에서는 연구 소재 및 실용화를 위한 미생물 자원의 개발, 보존 및 활용등을 수행하며 , 미생물을 활용한 환경독성 제어 연구, 미생물을 활용한 기능성 물질 개발 연구등을 진행하고 있습니다. ④ 연구분야 Microbiological Biotechnology / Environmental Microbiology / Development, Conservation and Utilization of Microbial Resources ⑤ 대표연구 실적 ■ (2022) Soil Microbial Co-occurrence Networks Become Less Connected with Soil Development in a High Arctic Glacier Foreland Succession. Science of the Total Environment 813 ■ (2021) Elevation-related climatic factors dominate soil free-living nematode communities and their co-occurrence patterns on Mt. Halla, South Korea. Ecol Evol. 11(24) ■ (2021) Alkanindiges hydrocarboniclasticus sp. nov. Isolated From Crude Oil Contaminated Sands and Emended Description of the Genus Alkanindiges. Current Microbiology 78(1) ■ (2021) Evaluation of sulfate resistance of protective biological coating mortars. Construction and Building Materials 270 ■ (2021) Pedobacter riviphilus sp. nov., isolated from stream sediment. Int J Syst Evol Microbiol. 71(9) ■ (2021) Comamonas suwonensis sp. nov., isolated from stream water in the Republic of Korea. Int J Syst Evol Microbiol. 71(4) ■ (2020) Occurrence of four waterborne viruses at five typical raw water resources in the Republic of Korea during August 2013 to February 2019. J. Microbiol. 58(11) ■ (2020) Long-Term Monitoring of Noxious Bacteria for Construction of Assurance Management System of Water Resources in Natural Status of the Republic of Korea. J. Microbiol Biotechnol. 30(10) ■ (2020) Analysis of bacterial community using pyrosequencing in semen from patients with chronic pelvic pain syndrome: a pilot study Transl Androl Urol. 9(2) ■ (2019) Algoriphagus aquimaris sp. nov., isolated from seashore in Pohang, South Korea. Int. J. Syst. Evol. Microbial. 70(2) ■ (2019) Zileuton, a 5-Lipoxygenase Inhibitor, Exerts Anti-Angiogenic Effect by Inducing Apoptosis of HUVEC via BK Channel Activation. Cells. 8(10) ■ (2019) Ruegeria lutea sp. nov., isolated from marine sediment, Masan Bay, South Korea. Int. J. Syst. Evol. Microbial. 69(9) ■ 글라이코 캘릭스 형성 박테리아를 포함하는 콘크리트 코팅 조성물 및 이를 이용하여 형성된 콘트리트 구조체 (10-2396304) ■ 세포외 다당류가 증가된 균주 및 이의 배양 방법 (10-2071861) ■ 미생물을 포함하는 친환경 마그네시아-인산염 복합체 기포 콘크리트 조성물 (10-1972803) ■ 우수한 살조능을 갖는 균주 및 이를 이용한 적조 제거 방법 (10-2033911) ■ 오염토양 정화장치 (10-2029774) ■ 콘크리트 보호 코팅재(コンクリト保護コティング材) (P6361053) ■ 오염 퇴적토의 처리 방법 및 이를 이용한 재활용 매립토 (10-1869734) ■ 해양 정화장치 (10-1889467) ■ 고효율의 질소 및 인 제거를 위한 친환경 미생물 슬러지를 이용한 연속 회분식 활성 슬러지법에 의한 오염 해수 처리 방법 (10-1889468) ■ MARINE MICROORGANISM HAVING EXCELLENT ALGICIDAL ACTIVITY AND RED TIDE ELIMINATING METHOD USING THE SAME ■ 박테리아 슬라임 기반 콘크리트 보호 코팅재 개발 (10-1779935) ■ (2022) 과학기술정보통신부장관 표창장 ■ (2021) 국가연구개발 우수 성과 표창 - 박테리아 생장작용에 기반한 수처리 구조물 보수공법 ■ (2020) 녹조 근정훈장 수훈 ■ (2019) 과학기술정보통신부장관 표창 ■ (2018) 국가연구개발 우수성과 표창 - 해양 환경 정화시스템 ⑥ 대표전화 : 031-290-7871 ⑦ 위치 : 생명공학관 62동 1층 62106호
- 작성일 2022-09-19
- 조회수 5535
(발라찬드란마나발란 교수) Computational Biology and Bioinformatics Lab 소개

① 연구실명 : Computational Biology and Bioinformatics Lab ② 지도교수명 : 발라찬드란마나발란 교수 ( Prof. Balachandran Manavalan) ③ 연구실 소개 (https://balalab-skku.org/) In the CBBL, we mainly focus on investigating, developing, and deploying cutting-edge bioinformatics tools using AI-based machine learning techniques to understand and address the challenging problems in genomics and molecular biology. In particular, we are designing computational methods to predict DNA function prediction (Enhancers, replication origin sites, and hypersensitive sites), DNA/RNA modification sites, RNA subcellular localization, and RNA splicing sites. Also, we are developing methods to identify peptide therapeutic functions, protein-specific functions, and post-translational modification sites based on sequence information. Furthermore, we are expanding our research into the areas of drug discovery and neoantigen prediction. ④ 연구분야 "Bioinformatics / Artificial intelligence / Data Mining / Big data and functional genomics / Peptide drug design / Epigenetic data analysis / Predicting DNA/RNA bindings / roteins and their residues / Sequence-based biomolecular function prediction" ⑤ 대표연구 실적 ■ "(2022) Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong, Balachandran Manavalan. Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework. iScience. 25(9):104883 ■ (2022) Adeel Malik, Sathiyamoorthy Subramaniyam, Chang-Bae Kim, Balachandran Manavalan. SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information. Computational and Structural Biotechnology Journal. 20:165-174 ■ (2022) Le Thi Phan, Hyun Woo Park, Thejkiran Pitti, Thirumurthy Madhavan, Young-Jun Jeon, Balachandran Manavalan. MLACP 2.0: An updated machine learning tool for anticancer peptide prediction. Computational and Structural Biotechnology Journal. 20:4473-4480. ■ (2022) Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong. SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids. Pharmaceutics. 14(1):122 ■ (2022) Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong. StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides. Methods. 204:189-198 ■ (2022) Md Mehedi Hasan, Sho Tsukiyama, Jae Youl Cho, Hiroyuki Kurata, Md Ashad Alam, Xiaowen Liu, Balachandran Manavalan, Hong-Wen Deng. Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy. Molecular Therapy. 30(8):2856-2867 ■ (2022) Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong. NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Computers in Biology and Medicine. 148:105700 ■ (2022) Young-Jun Jeon, Md Mehedi Hasan, Hyun Woo Park, Ki Wook Lee, Balachandran Manavalan. TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization. Briefings in Bioinformatics. 23(4) ■ (2022) Shaherin Basith, Gwang Lee, Balachandran Manavalan. STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction. Briefings in Bioinformatics. 23(1) ■ (2022) Watshara Shoombuatong, Shaherin Basith, Thejkiran Pitti, Gwang Lee, Balachandran Manavalan. THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites. Journal of Molecular Biology. 434(11):167549 ■ (2022) Balachandran Manavalan, Shaherin Basith, Gwang Lee. Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2. Briefings in Bioinformatics. 23(1) ■ (2022) Hiroyuki Kurata, Sho Tsukiyama, Balachandran Manavalan. iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model. Briefings in Bioinformatics. 23(4) ■ (2022) Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong. SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Computers in Biology and Medicine. 146:105704 ■ (2022) Shaherin Basith, Hye Jin Chang, Saraswathy Nithiyanandam, Tae Hwan Shin, Balachandran Manavalan, Gwang Lee. Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation Sites. Current Medicinal Chemistry. 29(2):235-250 ■ (2022) Balachandran Manavalan, Mahesh Chandra Patra. MLCPP 2.0: An Updated Cell-penetrating Peptides and Their Uptake Efficiency Predictor. Journal of Molecular Biology. 434(11):167604 ■ (2022) Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei. Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings in Bioinformatics. 23(1) ■ (2021) Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong. BERT4Bitter: a bidirectional encoder representation from transformers (BERT)-based model for improving the prediction of bitter peptides. Bioinformatics. 26 ■ (2021) Md Mehedi Hasan, Shaherin Basith, Mst Shamima Khatun, Gwang Lee, Balachandran Manavalan, Hiroyuki Kurata. Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework. Briefings in Bioinformatics. 22(3) ■ (2021) Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan. Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings in Bioinformatics. 22(4) ■ (2021) Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong. UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning. International journal of molecular sciences. 22(23):13124 ■ (2021) Shaherin Basith, Md Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan. Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings in Bioinformatics. 22(6) ■ (2021) Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong. StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides. Briefings in Bioinformatics. 22(6) ■ (2021) Md Mehedi Hasan, Md Ashad Alam, Watshara Shoombuatong, Hong-Wen Deng, Balachandran Manavalan, Hiroyuki Kurata. NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning. Briefings in Bioinformatics. 22(6) ■ (2021) Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Gwang Lee. Computational prediction of species-specific yeast DNA replication origin via iterative feature representation. Briefings in Bioinformatics. 22(4) ■ (2021) Md Mehedi Hasan, Watshara Shoombuatong, Hiroyuki Kurata, Balachandran Manavalan. Critical evaluation of web-based DNA N6-methyladenine site prediction tools. Briefings in Functional Genomics. 20(4):258-272 ■ (2020) Md Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, Gwang Lee, Watshara Shoombuatong, Balachandran Manavalan. HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation. Bioinformatics. 36(11):3350-3356 ■ (2020) Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei. Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. Briefings in Bioinformatics. 21(2):408-420 ■ (2020) Balachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, Vijayakumar Gosu, Tae-Hwan Shin, Gwang Lee. Empirical Comparison and Analysis of Web-Based DNA N 4-Methylcytosine Site Prediction Tools. Molecular Therapy Nucleic Acids. 22:406-420 ■ (2020) Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee. Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening. Medicinal Research Reviews. 40(4):1276-1314 ■ (2020) Rajiv G Govindaraj, Sathiyamoorthy Subramaniyam, Balachandran Manavalan. Extremely-randomized-tree-based Prediction of N 6-Methyladenosine Sites in Saccharomyces cerevisiae. Current Genomic. 21(1):26-33. ■ (2019) Vinothini Boopathi, Sathiyamoorthy Subramaniyam, Adeel Malik, Gwang Lee, Balachandran Manavalan, Deok-Chun Yang. mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides. International Journal of Molecular Sciences. 20(8):1964 ■ (2019) Balachandran Manavalan, Kunihiro Kuwajima, Jooyoung Lee. PFDB: A standardized protein folding database with temperature correction. Scientific Reports. 9(1):1588 ■ (2019) Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi. Iterative feature representations improve N4-methylcytosine site prediction. Bioinformatics. 35(23):4930-4937 ■ (2019) Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Da Yeon Lee, Leyi Wei, Gwang Lee. 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-methylcytosine Sites in the Mouse Genome. Cells. 8(11):1332 ■ (2019) Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee. AtbPpred: A Robust Sequence-Based Prediction of Anti-Tubercular Peptides Using Extremely Randomized Trees. Computational and Structural Biotechnology Journal. 17:972-981 ■ (2019) Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee. mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation. Bioinformatics. 35(16):2757-2765 ■ (2019) Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee. SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome. Molecular Therapy Nucleic Acids. 18:131-141 ■ (2019) Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee. Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation. Molecular Therapy Nucleic Acids. 16:733-744 ■ (2018) Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee. iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree. Computational and Structural Biotechnology Journal. 16:412-420 ■ (2018) Balachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin, Myeong Ok Kim, Gwang Lee. Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy. Journal of Proteome Research. 17(8):2715-2726 ■ (2018) Balachandran Manavalan, Tae H Shin, Gwang Lee. PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine. Frontiers in Microbiology. 9:476. ■ (2018) Balachandran Manavalan, Tae H Shin, Myeong O Kim, Gwang Lee. AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest. Frontiers in pharmacology. 9:276. ■ (2018) Arne Elofsson, Keehyoung Joo, Chen Keasar, Jooyoung Lee, Ali H A Maghrabi, Balachandran Manavalan, Liam J McGuffin, David Ménendez Hurtado, Claudio Mirabello, Robert Pilstål, Tomer Sidi, Karolis Uziela, Björn Wallner. Methods for estimation of model accuracy in CASP12. Proteins. 86 ■ (2018) Balachandran Manavalan, Rajiv Gandhi Govindaraj, Tae Hwan Shin, Myeong Ok Kim, Gwang Lee. iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction. Frontiers in Immunology. 9:1695 ■ (2018) Balachandran Manavalan, Tae Hwan Shin, Myeong Ok Kim, Gwang Lee. PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions. Frontiers in Immunology. 9:1783 ■ (2017) Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Sun Choi, Myeong Ok Kim, Gwang Lee. MLACP: machine-learning-based prediction of anticancer peptides. Oncotarget. 8(44):77121-77136 ■ (2017) Balachandran Manavalan, Jooyoung Lee. SVMQA: support-vector-machine-based protein single-model quality assessment. Bioinformatics. 33(16):2496-2503 ■ (2017) Balachandran Manavalan, Tae Hwan Shin, Gwang Lee. DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest. Oncotarget. 9(2):1944-1956" ⑥ 대표전화 : 031-299-4858 ⑦ 위치 : 생명공학관 62동 1층 62105호
- 작성일 2022-09-19
- 조회수 4956
(김희권 교수) 유전자교정 연구실 소개

① 연구실명 : 유전자교정 연구실 (Genome Editing Laboratory) ② 지도교수명 : 김희권 교수 (Prof. Kim, Hui Kwon) ③ 연구실 소개 안녕하세요, 성균관대학교 생명공학대학 융합생명공학과 '유전자교정 연구실' 입니다. 유전자교정기술은 유전자치료제 및 세포치료제 개발의 핵심기술이며, 또한 유전학 연구, 분자 이미징, 합성생물학 등 다양한 연구분야들에도 널리 활용되고 있습니다. 우리 연구실에서는 유전자교정기술에 인공지능을 접목시킴으로써 보다 안전하고 효과적인 유전자치료제를 개발하고자 합니다. 더불어 우리 유전체를 구성하는 DNA에 담긴 새로운 지식을 탐구하고자 하며, 이를 위해 DNA정보를 대량으로 읽고, 쓸 수 있는 분자생물공학 기술들을 개발하고 적용하고 있습니다. 연구실 이메일 주소는 huikwonkim@skku.edu입니다. 연구에 대한 재능과 열정이 있는 분들의 많은 연락바랍니다. 감사합니다. 'Genome Editing Laboratory' is one of the newly established laboratories in the Department of Integrative Biotechnology. Genome editing technology has been widely used for the development of gene and cell therapeutics. As such, the technology has been proven to exhibit a wide-range of biological applications such as functional genomics, molecular imaging, and synthetic biology. Currently, our team is working on developing a safer and more efficient method for gene therapeutics by integrating deep learning with genome editing technologies. Our lab is also interested in the development of methods that can precisely read and write DNAs to significantly broadening our knowledge about molecular processes in human cells. We are always seeking talented and passionate students and researchers to join our team. If you are interested in joining us, please feel free to contact me (huikwonkim@skku.edu). ④ 연구분야 유전자교정기술 / 유전자치료제 / 분자생물공학 / 인공지능 및 머신러닝 ⑤ 대표연구 실적 ■ Kim, H.K*., Yoo, G*., Park, J., Min, S., Lee, S., Yoon, S., Kim, H.H. Predicting the efficiency of prime-editing guide RNAs in human cells. Nature Biotechnology, 2021. Impact factor = 36.553 ■ Kim, N*., Kim, H.K*., Lee, S., Seo, J.H., Choi, J.W., Park, J., Min, S., Yoon, S., Cho, S-R., Kim, H.H. Prediction of the sequence-specific cleavage activity of Cas9 variants. Nature Biotechnology, 2020. Impact factor = 36.553 ■ Song, M*., Kim, H.K*., Lee, S*., Kim, Y., Seo, S.Y., Park, J., Choi, J.W., Jang, H., Shin, J.H., Min, S., Quan, Z., Kim, J.H., Kang, H.C., Yoon, S., Kim, H.H. Sequence-specific prediction of the efficiencies of adenine and cytosine base editors. Nature Biotechnology, 2020. Impact factor = 36.553 ■ Kim, H.K., Lee, S., Kim, Y., Park, J., Min, S., Choi, J.W., Huang, T.P., Yoon, S., Liu, D.R., Kim, H.H. High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells. Nature Biomedical Engineering, 2020. Impact factor = 18.952 ■ Kim, H.K*., Kim, Y*., Lee, S., Min, S., Bae, J.Y., Choi, J.W., Park, J., Jung, D., Yoon, S., Kim, H.H. SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance. Science Advances, 2019. Impact factor = 13.117 ■ Kim, H.K*., Min, S*., Song, M., Jung, S., Choi, J.W., Kim, Y., Lee, S., Yoon, S#., Kim, H.H#. Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity. Nature Biotechnology, 2018. Impact factor = 36.553 ■ Kim, H.K*., Song, M*., Lee, J., Menon, A.V., Jung, S., Kang, Y.M., Choi, J.W., Woo, E., Koh, H.C., Nam, J.W., Kim, H.H. In vivo high-throughput profiling of CRISPR-Cpf1 activity. Nature Methods, 2017. Impact factor = 30.822 * and # denote co-first authors and co-corresponding authors, respectively. ⑥ 대표전화 : 031-290-7860 ⑦ 위치 : 생명공학관 62동 2층 62208호
- 작성일 2021-03-18
- 조회수 9749
(송민경 교수) T 세포 융합연구실 소개

① 연구실명 : T 세포 융합연구실(Integrative Research of T cells Laboratory) ② 지도교수명 : 송민경 교수님(Prof. Song, Minkyung) ③ 연구실 소개 안녕하세요 성균관대학교 생명공학대학 융합생명공학과 송민경 교수님 'T 세포 융합연구실' 입니다. T 세포는 면역 반응과 면역 관용을 조절하여 면역의 항상성을 유지하는 매우 중요한 역할을 하는 세포입니다. T 세포 융합연구실에서는 T 세포가 스트레스, 환경 요인, 면역 자극들을 감지하고, 세포 신호 전달 체계를 통해 유전자 발현이 조절되는 전사적, 후성유전학적, 대사적 메커니즘과 이에 따른 T 세포의 기능 변화에 대해서, 다양한 면역학적, 분자생물학적, 생명공학적 기법을 이용하여 융합 연구를 수행하고 있습니다. 특히 종양 환경에서 T 세포 주위의 환경적 요인에 의한 세포 스트레스 반응으로서 소포체 스트레스 현상을 중점적으로 연구하고 있습니다. 한편 T 세포의 정상 기능이 저해되는 경우, T 세포를 매개로 하는 면역 시스템의 불균형이 초래되어 암, 알러지, 자가면역 질환 등 다양한 질병의 원인이 됩니다. 따라서 T 세포에 대한 과학적인 이해를 기반으로, 다양한 질환의 효과적인 치료법을 제시하는 것이 T 세포 융합연구실이 추구하는 연구 방향이며, 이를 위해 현재 국내외 연구 기관, 병원 및 회사와 공동 연구를 활발히 하고 있습니다. 본 연구실 경험을 바탕으로, 졸업 후에는 의.약학, 생명공학 연구 기관이나 회사 등으로 진출할 수 있습니다. 저희 연구실 대표 전화는 031-290-7877이며, 이메일 주소는 piscesmk@skku.edu입니다. 미지의 분야를 탐색하고, 다양한 학문을 접할 준비가 되어 있는 분들의 관심 부탁드립니다. 'Integrative Research of T cells Laboratory' is one of the newly estabilished laboratories in the department of integrative Biotechnology. T cells sense stress, environmental factors, and immunological stimuli, and integrate and transmit this information through diverse signaling pathways in order to change their gene expression and functions. Dysregulation of these events can be a main driver of disease pathogenesis such as allergy, autoimmunity, or cancer. Our research aims at understanding transcriptional, epigenetical and metabolic regulatory mechanisms of T cell gene expression and function in various disease settings by using a number of research tools in immunology, molecular biology, and cutting-edge biotechnology. The basic research findings will ultimately lead us to develop new therapy capable of restoring normal T cell functions. We are currently exploring the specific role of the ER for sensing tumor microenvironmental conditions and controlling cellular responses in T cells and developing T cell-based immunotherapy in collaboration with domestic and international research institutions, hospitals and companies. Our "bench-to-bedside" research will foster students to become independent researchers working in academic and reserach institution and biopharmaceutial companies. ④ 연구분야 T 세포 면역 / 종양 면역 / 항암 면역 치료 / 융합생명공학(T cell biology / Tumor immunology / Cancer immunotherapy / Integrative biotechnology) ⑤ 대표연구 실적 ■ A novel RUNX2 stabilization pathway mediates physiologic and pathologic bone formation. Nat Commun. 2020 ■ IRE1α-XBP1 signaling in leukocytes controls prostaglandin biosynthesis and pain. Science. 2019 ■ ER Stress Responses in Intratumoral Immune Cells: Implications for Cancer Immunotherapy. Trends in Immunol. 2019 ■ IRE1α–XBP1 controls T cell function in ovarian cancer by regulating mitochondrial activity. Nature. 2018 ■ IL-21 induces antiviral microRNA-29 in CD4 T cells to limit HIV-1 infection. Nat Commun. 2015 ■ ER Stress Sensor XBP1 Controls Anti-tumor Immunity by Disrupting Dendritic Cell Homeostasis. Cell. 2015 ■ 6-methoxyflavone inhibits NFAT translocation into the nucleus and suppresses T cell activation. J. Immunol. 2014 ■ XBP1 promotes triple negative breast cancer by controlling the HIF1a pathway. Nature. 2014 ■ Lactobacillus casei enhances glucosamine-mediated suppression of inflammatory responses in an experimental osteoarthritis. Life Sci. 2011 ■ Handheld mechanical cell lysis chip with ultra-sharp silicon nano-blade arrays for rapid intracellular protein extraction. Lab Chip. 2010 ■ A distal cis-regulatory element, CNS-9, controls NFAT1 and IRF4-mediated IL-10 gene activation in T helper cells. Mol Immunol. 2009 ⑥ 대표전화 : 031-290-7877 ⑦ 위치 : 생명공학관 62동 1층 62103호
- 작성일 2020-09-08
- 조회수 10016
(정우재 교수) 생체소재공학 연구실 소개

① 연구실명 : 생체소재공학 연구실(Advanced Biomaterials Engineering Lab) ② 지도교수명 : 정우재 교수님(Prof. Woo-Jae Chung) ③ 연구실 소개 안녕하세요, 저희는 성균관대학교 생명공학대학 융합생명공학과 정우재 교수님 '생체소재공학 연구실' 입니다. 생체소재란 질병을 진단하거나, 치료를 목적으로 생체와 상호작용할 수 있도록 고안된 물질을 말합니다. 저희 연구실에서는 생체모방 접근방법을 이용하여 생체소재 물질을 합성, 조립하여, 이들 소재를 다양하게 생명공학적으로 응용하는 연구에 초점을 맞추고 있습니다. 대표적인 연구분야로는 (1) 항 바이러스 소재 (2) 조직재생 상처 치유 소재 (3) 바이오센서 소재 (4) 생체모방소재 개발 등이 있습니다. 또한 의학, 약학, 기계공학 등 타 전공의 연구자들과도 폭넓은 교류를 통해 융합연구를 수행하고 있습니다. 저희 연구실의 대표전화는 031-290-7873이며 이메일 주소는 wjchung@skku.edu이오니, 관심있는 분들께서는 언제든 연락주시기 바랍니다. 감사합니다. "Advanced Biomaterial Engineering Lab" is a laboratory in the Department of Integrative Biotechnology, College of Biotechnology, SungKyunKwan University. BIOMATERIAL is a substance that has been engineered to interact with biological systems, is used to direct the course of therapeutic or diagnostic procedure. Our group is mainly interested in development of biomaterials which are designed and synthesized on biomimetic approaches and their applications in a variety field of biotechnology. Our research areas include (1) Anti-viral materials (2) Smart hydrogels for wound healing (3) Colorimetric biosensors for health risk assessment (4) Biomimetic materials. In addition, we are actively conducting convergence research by working together with researchers from other disciplines such as medicine, pharmacy, and mechanical engineering. The main phone number of our lab is 031-290-7873 and the e-mail address is wjchung@skku.edu. If you are interested, please feel free to contact us. Thank you. ④ 연구분야 (1) 항 바이러스 소재(Anti-viral Material) (2) 조직재생 상처 치유 소재(Wound Healing Agent) (3) 바이오센서 소재(Colorimetric Sensor) (4) 생체모방소재(Bio-Printing) ⑤ 대표연구 실적 ■ Filamentous anti-influenza agents wrapping around viruses. Jinhyo Chung, Younghun Jung, Caleb Hong, Subin Kim, Seokoh Moon, Eun A Kwak, Beom Jeung Hwang, Seong-Hyun Park, Baik Lin Seong, Dae-Hyuk Kweon, Woo-Jae Chung*. Journal of Colloid and Interface Science. Accepted. ■ Colorimetric detection of allergenic fungal spores by peptide-functionalized gold nanoparticles. Jung In Lee, Seok Cheon Jang, Jinhyo Chung, Woong-Ku Choi, Caleb Hong, Geum Ran Ahn, Seong Hwan Kim, Byung Yang Lee, Woo-Jae Chung*. Sensors and Actuators B : Chemical. Accepted. ■ Tannic acid-functionalized HEPA filter materials for influenza virus capture. Subin Kim, Jinhyo Chung, Sang Hyun Lee, Jeong Hyeon Yoon, Dae-Hyuk Kweon, Woo-Jae Chung*. Scientific Reports. In-revision. ■ Substituent effects of phenylboronic acid-functionalized resins in pH-controlled separation of catecholic flavonoids. Sang Min Lee, Jinhyo Chung, Mi Sic Gong, Bong-Hyun Jun, Dae-Hyuk Kweon, Woo-Jae Chung*. Journal of Industrial and Engineering Chemistry. 2019 Sep 25. doi: 10.1016/j.jiec.2019.04.031 ■ Hierarchically structured peptide nanofibers for colorimetric detection of gaseous aldehydes. Mi Sic Gong, Gyuyeob Oh, Jinhyo Chung, Hyung-Seok Jang, Byung Yang Lee, Woo-Jae Chung*. Sensors and Actuators B : Chemical. 2019 Mar 1. doi: 10.1016/j.snb.2018.11.130 ■ Phage as versatile nanoink for printing 3-D cell-laden scaffolds. Doe-Young Lee, Hyeongjin Lee, YongBok Kim, So Young Yoo, Woo-Jae Chung*, GeunHyung Kim. Acta Biomaterialia. 2016 Jan 1. doi: 10.1016/j.actbio.2015.10.004 ■ Biomimetic Self-Templated Hierarchical Structures of Collagen-Like Peptide Amphiphiles. Hyo-Eon Jin, Jaein Jang, Jinhyo Chung, Hee Jung Lee, Eddie Wang, Seung-Wuk Lee, Woo-Jae Chung*. Nano Letters. 2015 Oct 15. doi: 10.1021/acs.nanolett.5b03313 ⑥ 대표전화 : 031-290-7871 ⑦ 위치 : 62108
- 작성일 2020-09-03
- 조회수 5842
(이석찬 교수) 세포공학연구실 소개

① 연구실명 : 세포공학연구실(Celtech Lab) ② 지도교수명 : 이석찬 교수님(Prof. Lee Sukchan) ③ 연구실 소개 세포공학연구실은 1995년에 설립되었으며, 융합생명공학과 이석찬 교수님의 지도를 받고 있는 연구실입니다. 연구실 설립 초반에는 제미니바이러스라고 불리는 식물바이러스 연구를 주로 수행했으나, 현재는 식물바이러스 뿐만 아니라 동물바이러스, 해양바이러스 등 다양한 주제에 대해 연구하고 있습니다. 이런 다양한 바이러스에 대해 분자생물학적 및 혈청학적 방식을 이용하는 혁신적인 진단 기술과 항바이러스 기술을 개발하는 것이 연구의 주요한 목적입니다. 또한 세포공학연구실에서는 이 외에도 비타민 C를 이용한 항암 치료 방법과 더불어, 항암 치료의 부작용 중 하나인 림프부종에 대한 연구도 수행하고 있습니다. Celtech Laboratory was established in 1995 under the supervision of Professor Lee Sukchan in the Department of Integrative Biotechnology, Sungkyunkwan University. On the very first days of establishment, our work paid attention to Geminivirus which is a DNA plant virus. Overtime, we have extended our research field to not limit in only plant virus but also animal and marine viruses. Our purpose is to develop diagnosis and anti-viral tools for different types of virus using molecular approaches with innovative methods. In addition to that, we also conduct researches related to Vitamin C and Lymphedema. ④ 연구분야 식물바이러스/동물바이러스/해양바이러스/비타민C/림프부종/미니항체 Plant virus/Animal virus/Marine virus/ Vitamin C/ Lymphedema / minibody ⑤ 대표연구 실적 ■ Kangsan Roh, Sukchan Lee*: Synthesis and evaluation of butein derivatives for in vitro and in vivo inflammatory response suppression in lymphedema. https://doi.org/10.1016/j.ejmech.2020.112280. European Journal of Medicinal Chemistry, IF: 5.572 ■ Sungrae Cho, Sukchan Lee*: Enhanced Anticancer Effect of Adding Magnesium to Vitamin C Therapy: Inhibition of Hormetic Response by SVCT-2 Activation. https://doi.org/10.1016/j.tranon.2019.05.013. Translation Oncology, IF: 3.138 ■ Sang-Ho Cho, Sukchan Lee*: Development of novel detection system for sweet potato leaf curl virus using recombinant scFv. https://doi.org/10.1038/s41598-020-64996-0. Scientific Report, IF: 3.998 ■ Aamir Lal, Sukchan Lee*: Milk vetch dwarf virus infection in the Solanaceae and Caricaceae families in Southeast Asia. https://doi.org/10.1111/ppa.13196. Plant Pathology, IF: 2.493 ■ Eui-Joon Kil, Sukchan Lee*: Seed transmission of Tomato Leaf Curl New Delhi virus from Zucchini Squash in Italy. https://doi.org/10.3390/plants9050563. Plants, IF: 2.762 ⑥ 대표전화 : 031-290-7876 ⑦ 위치 : 51359
- 작성일 2020-09-02
- 조회수 6506
(윤기정 교수) 신경발생·줄기세포 연구실 소개

① 연구실명 : 신경발생·줄기세포 연구실(Neurodevelopment and Stem Cell Research Lab) ② 지도교수명 : 윤기정 교수님(Prof. Yoon, Keejung) ③ 연구실 소개 안녕하세요. 성균관대학교 생명공학대학 융합생명공학과 윤기정 교수님 '신경발생·줄기세포 연구실' 입니다. 우리 연구실에서는 뇌의 발생과정에 중요한 신경줄기세포의 증식, 분화 조절과 관련된 연구를 수행하고 있습니다. 다양한 줄기세포들은 생체내 기원이 달라도 그 조절기전이 유사해 iPS(유도만능줄기세포)와 중간엽줄기세포 등의 연구도 수행하고 있습니다. 줄기세포와 암세포는 증식이라는 공통점을 가지고 있고 조절기전도 유사해 줄기세포 연구에서 획득한 지식을 암발생 기전과 항암 연구에도 활용하고 있습니다. 또한 바이러스가 어떻게 뇌질환을 일으킬 수 있는지에 대한 연구 결과를 지속적으로 좋은 저널에 발표하고 있습니다. 졸업생들은 국내외 최고수준의 생명·의학 연구 기반 회사나 연구소로 진출하고 있습니다. 저희 연구실의 대표 전화는 031-299-4854이며 이메일 주소는 keejung@skku.edu입니다. 연구실에 관심있는 분들께서는 언제든 연락주시기 바랍니다. 감사합니다. The Yoon Lab works on mechanisms controlling brain development and stem cell proliferation. The focus has been on the roles of morphogenic and developmental signaling pathways on the stem cell behavior, cell fate and migration, during embryonic development. Because cancer cells share similar properties with normal stem cells, including the ability to self-renew and differentiation, we also work on how misregulation of developmental factors can induce cancer formation. In addition, a recent new focus has been to understand the roles of diverse factors that regulate proliferation and differentiation of induced pluripotent stem cells (iPS) and mesenchymal stem cells (MSC), and identifying the molecular mechanism of virus-induced brain disorders. ④ 연구분야 뇌발생 / 신경줄기세포 / iPS 유도만능줄기세포 / 암기전분석과 항암법 / 바이러스성 뇌질환 Brain development / Neural stem cells / iPS / Oncogenesis / NeuroVirology ⑤ 대표연구 실적 ■ Yabut OR, H-X Ng, K Yoon, JC Arela, T Ngo and SJ Pleasure. (2020). The neocortical progenitor specification program is established through combined modulation of SHH and FGF signaling. J. Neurosci. in press. ■ Lee SM, D Han, M Kwon, H Noh, J-H Ahn and K Yoon. (2020). Gamma secretase inhibition impairs HCMV replication by reduction of immediate early gene expression at the transcriptional level. Antiviral Research:In press. ■ Han D, SM Lee, M Kwon, H Noh and K Yoon. (2020). YAP enhances FGF2-dependent neural stem cell proliferation by induction of fibroblast growth factor receptor expression. Stem Cells and Development:In press. ■ Han D, M Kwon, SM Lee, SJ Pleasure and K Yoon. (2020). Non-cell autonomous promotion of astrogenesis at late embryonic stages by constitutive YAP activation. Scientific Reports 10:7041. ■ Byun S-H, M Kwon, SM Lee, H Noh and K Yoon. (2019). PACT increases mammalian embryonic neural stem cell properties by facilitating activation of the notch signaling pathway. Biochemical and Biophysical Research Communications 513:392-397. ■ Kim J, D Han, SH Byun, M Kwon, JY Cho, SJ Pleasure and K Yoon. (2018). Ttyh1 regulates embryonic neural stem cell properties by enhancing the Notch signaling pathway. EMBO reports 19:e45472. ■ Kim J, D Han, S-H Byun, M Kwon, S-J Cho, YH Ko and K Yoon. (2017). Neprilysin facilitates adipogenesis through potentiation of the phosphatidylinositol 3-kinase (PI3K) signaling pathway. Molecular and Cellular Biochemistry 430:1-9. ■ Han D, S-H Byun, J Kim, M Kwon, SJ Pleasure, J-H Ahn and K Yoon. (2017). Human cytomegalovirus IE2 protein disturbs brain development by the dysregulation of neural stem cell maintenance and the polarization of migrating neurons. Journal of Virology 91:e00799-17. ■ Ha T, KH Moon, L Dai, J Hatakeyama, K Yoon, H-S Park, Y-Y Kong, K Shimamura and JW Kim. (2017). The Retinal pigment epithelium is a Notch signaling niche in the mouse retina. Cell Reports 19:351-363. ■ Byun S-H, J Kim, D Han, M Kwon, JY Cho, HX Ng, SJ Pleasure and K Yoon. (2017). TRBP maintains mammalian embryonic neural stem cell properties by acting as a novel transcriptional coactivator of the Notch signaling pathway. Development 144:778-783 ⑥ 대표전화 : 031-299-4854 ⑦ 위치 : 62255
- 작성일 2020-09-02
- 조회수 5518

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