서준교 연구실
한림대학교 기타
서준교 교수
서준교 교수 연구실
홈
서준교 연구실
한림대학교 기타 서준교 교수
서준교 연구실은 실험동물의학과 실험동물 분자유전을 기반으로 질환 모델 마우스의 개발과 특성 분석을 수행하며, 특히 한국 야생 유래 마우스 계통 확립, 성별 차이를 반영한 당뇨병 모델 연구, 장내 마이크로바이옴과 염증성 장질환의 연관성 규명 등을 통해 사람 질환의 발병 기전과 전임상 적용 가능성을 탐구하는 의생명과학 연구를 전개하고 있다.
대표 연구 분야
연구 영역 전체보기
실험동물의학과 질환 모델 마우스 개발
실험동물의학과 질환 모델 마우스 개발
성별 기반 당뇨병 모델과 대사 기능 연구
야생 유래 마우스와 장내 마이크로바이옴 기반 염증성 장질환 연구
주요 논문
3
논문 전체보기
1
article
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bronze
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인용수 14·
2023In vitro and in vivo suppression of SARS‐CoV‐2 replication by a modified, short, cell‐penetrating peptide targeting the C‐terminal domain of the viral spike protein
Dongbum Kim, Jin-Soo Kim, Seungchan An, Minyoung Kim, Kyeongbin Baek, Bo Min Kang, Sony Maharjan, Suyeon Kim, Seok Young Hwang, In Guk Park, Sangkyu Park, Jun‐Gyo Suh, Man‐Seong Park, Minsoo Noh, Younghee Lee, Hyung‐Joo Kwon
IF 4.6
Journal of Medical Virology
Peptides are promising therapeutic agents for COVID-19 because of their specificity, easy synthesis, and ability to be fine-tuned. We previously demonstrated that a cell-permeable peptide corresponding to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Spike C-terminal domain (CD) inhibits the interaction between viral spike and nucleocapsid proteins that results in SARS-CoV-2 replication in vitro. Here, we used docking studies to design R-t-Spike CD(D), a more potent short cell-penetrating peptide composed of all D-form amino acids and evaluated its inhibitory effect against the replication of SARS-CoV-2 S clade and other variants. R-t-Spike CD(D) was internalized into Vero cells and Calu-3 cells and suppressed the replication of SARS-CoV-2 S clade, delta variant, and omicron variant with higher potency than the original peptide. In hemizygous K18-hACE2 mice, intratracheal administration of R-t-Spike CD(D) effectively delivered the peptide to the trachea and lungs, whereas intranasal administration delivered the peptide mostly to the upper respiratory system and stomach, and a small amount to the lungs. Administration by either route reduced viral loads in mouse lungs and turbinates. Furthermore, intranasally administered R-t-Spike CD(D) mitigated pathological change in the lungs and increased the survival of mice after infection with the SARS-CoV-2 S clade or delta variant. Our data suggest that R-t-Spike CD(D) has potential as a therapeutic agent against SARS-CoV-2 infection.
https://doi.org/10.1002/jmv.28626
Vero cell
Peptide
Nasal administration
In vitro
Biology
Viral replication
In vivo
Cell-penetrating peptide
Virology
Respiratory system
2
article
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gold
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인용수 20·
2023Outbred Mice with Streptozotocin-Induced Diabetes Show Sex Differences in Glucose Metabolism
Bo Young Kim, Eun-Sun Park, Jong-Sun Lee, Jun‐Gyo Suh
IF 4.9
International Journal of Molecular Sciences
Outbred mice (ICR) with different genotypes and phenotypes have been reported to be more suitable for scientific testing than inbred mice because they are more similar to humans. To investigate whether the sex and genetic background of the mice are important factors in the development of hyperglycemia, we used ICR mice and divided them into male, female, and ovariectomized female (FOVX) groups and treated them with streptozotocin (STZ) for five consecutive days to induce diabetes. Our results show that fasting blood glucose and hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) levels were significantly higher in diabetes-induced males (M-DM) and ovariectomized diabetes-induced females (FOVX-DM) than in diabetes-induced females (F-DM) at 3 and 6 weeks after STZ treatment. Furthermore, the M-DM group showed the most severe glucose tolerance, followed by the FOVX-DM and F-DM groups, suggesting that ovariectomy affects glucose tolerance in female mice. The size of pancreatic islets in the M-DM and FOVX-DM groups was significantly different from that of the F-DM group. The M-DM and FOVX-DM groups had pancreatic beta-cell dysfunction 6 weeks after STZ treatment. Urocortin 3 and somatostatin inhibited insulin secretion in the M-DM and FOVX-DM groups. Overall, our results suggest that glucose metabolism in mice is dependent on sex and/or genetic background.
https://doi.org/10.3390/ijms24065210
Internal medicine
Endocrinology
Diabetes mellitus
Streptozotocin
Ovariectomized rat
Insulin
Pancreatic islets
Islet
Beta cell
Glucose tolerance test
3
article
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인용수 0
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2022MP47-01 DEVELOPMENT OF INDIVIDUAL LEVEL INFERENCE AVAILABLE EXPLAINABLE ARTIFICIAL INTELLIGENCE MODEL FOR CANCER-SPECIFIC SURVIVAL AFTER NEPHRECTOMY IN RENAL CELL CARCINOMA PATIENTS
Jun‐Gyo Suh, Dong-Won Kim, Bumjin Lim, Cheryn Song, Dalsan You, In Gab Jeong, Jun Hyuk Hong, Bumsik Hong, Hanjong Ahn, Choung‐Soo Kim
IF 6.8
The Journal of Urology
You have accessJournal of UrologyCME1 May 2022MP47-01 DEVELOPMENT OF INDIVIDUAL LEVEL INFERENCE AVAILABLE EXPLAINABLE ARTIFICIAL INTELLIGENCE MODEL FOR CANCER-SPECIFIC SURVIVAL AFTER NEPHRECTOMY IN RENAL CELL CARCINOMA PATIENTS Jungyo Suh, Dongwon Kim, Bumjin Lim, Cheryn Song, Dalsan You, In Gab Jeong, Jun Hyuk Hong, Bumsik Hong, Hanjong Ahn, and Choung-Soo Kim Jungyo SuhJungyo Suh More articles by this author , Dongwon KimDongwon Kim More articles by this author , Bumjin LimBumjin Lim More articles by this author , Cheryn SongCheryn Song More articles by this author , Dalsan YouDalsan You More articles by this author , In Gab JeongIn Gab Jeong More articles by this author , Jun Hyuk HongJun Hyuk Hong More articles by this author , Bumsik HongBumsik Hong More articles by this author , Hanjong AhnHanjong Ahn More articles by this author , and Choung-Soo KimChoung-Soo Kim More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002618.01AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: This study aim to development individual level inference available explainable artificial intelligence (XAI) model for the cancer specific survival (CSS) prediction for renal cell carcinoma patient who underwent nephrectomy. METHODS: A single centre, nephrectomy registry data from 1990 to 2016 were retrospectively reviewed for this analysis. Clinical parameters (age, sex, body mass index), surgical parameter (operation methods) and pathologic feature (histologic type, T stage, N stage, M stage, tumor thrombus, Fuhrman Grade) were included for analysis. Train/valid and test set was split with 8:1:1 ratio. Accelerated failure time (AFT) model for CSS was developed by decision tree-based ensemble machine learning method. Hyperparameters of the model were optimized by Bayesian method. Concordance index(c-index) was evaluated for accuracy of the estimated survival time of the developed model. Global and individual level inference were simulated and displayed by shapely additive value RESULTS: From 4969 nephrectomy patients, 4688 were eligible for analysis. Average age was 54.8±12.2 year-old and average survival time was 47.7±38.8 months. After hyperparameter optimization, the c-index of the final developed model was 0.932, 0.849 and 0.832 for each of train, validation, and test dataset. CONCLUSIONS: We successfully developed XAI model with acceptable level performance for the cancer specific survival prediction for renal cell carcinoma patient. Source of Funding: None. © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e809 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jungyo Suh More articles by this author Dongwon Kim More articles by this author Bumjin Lim More articles by this author Cheryn Song More articles by this author Dalsan You More articles by this author In Gab Jeong More articles by this author Jun Hyuk Hong More articles by this author Bumsik Hong More articles by this author Hanjong Ahn More articles by this author Choung-Soo Kim More articles by this author Expand All Advertisement PDF DownloadLoading ...
https://doi.org/10.1097/ju.0000000000002618.01
Nephrectomy
Medicine
Renal cell carcinoma
Stage (stratigraphy)
Kidney cancer
Cancer
Inference
Internal medicine
Oncology
Artificial intelligence
정부 과제
23
과제 전체보기
1
2023년 5월-2026년 5월
|72,741,000원야생 마우스에서 염증성 장질환과 장내 마이크로바옴의 연관성 연구
야생 유래 근교계 마우스(KWM/Hym)에서 염증성 장질환 모델을 확립하고 장내 마이크로바이옴과 염증성 장질환과의 연관성을 분석하여 사람에서 염증성 장질환 발병 기전 규명을 위한 결과를 제공하고자 한다.
실험동물
모댈동물
야생 마우스
마이크로바이옴
염증성 장질환
2
2023년 5월-2026년 5월
|23,300,000원야생 마우스에서 염증성 장질환과 장내 마이크로바옴의 연관성 연구
야생 유래 근교계 마우스(KWM/Hym)에서 염증성 장질환 모델을 확립하고 장내 마이크로바이옴과 염증성 장질환과의 연관성을 분석하여 사람에서 염증성 장질환 발병 기전 규명을 위한 결과를 제공하고자 한다.
실험동물
모댈동물
야생 마우스
마이크로바이옴
염증성 장질환
3
2023년 5월-2026년 5월
|93,200,000원야생 마우스에서 염증성 장질환과 장내 마이크로바옴의 연관성 연구
야생 유래 근교계 마우스(KWM/Hym)에서 염증성 장질환 모델을 확립하고 장내 마이크로바이옴과 염증성 장질환과의 연관성을 분석하여 사람에서 염증성 장질환 발병 기전 규명을 위한 결과를 제공하고자 한다.
실험동물
모댈동물
야생 마우스
마이크로바이옴
염증성 장질환
최신 특허
특허 전체보기
전체 특허
동물의 혈관계의 시각화 방법
상태
소멸출원연도
2018출원번호
1020180035432마우스 렙틴 수용체 돌연변이 유전자형 판별방법
상태
소멸출원연도
2015출원번호
1020150042431