성균관대학교 의과대학/인공지능대학원 Next-Gen Medicine Lab에서 아래와 같이 2021년도 봄/여름/가을학기 학부생 인턴/대학원생을 모집합니다.

https://www.ibric.org/myboard/read.php?Board=job_recruit&id=631691

1. 실험실 소개

- 성균관대학교 Next-Gen Medicine Lab에서는 인공지능 및 데이터 사이언스를 바탕으로 환자의 유전자 빅데이터를 분석하고 이를 functional screen과 동물 실험을 통해 검증하여 암 및 유전질환을 치료하는 혁신적인 방법을 발견하고자 합니다.

-의과대학과 인공지능대학원에 동시에 소속되어 있으며, 국내외 유수의 연구실 (Harvard Medical School, National Cancer Institute, University of San Diego, Weizmann Institute, 서울삼성병원)과의 활발한 공동 연구를 통해 하이 임팩트 융합 연구를 지향합니다.

- 환자의 치료에 실질적인 도움을 줄 수 있는 중개 연구(translational research)에 집중함으로써 병원 및 산업체(제약회사 및 스타트업)와 활발한 교류를 도모합니다.

2. 연구의 내용

- 암환자의 유전체 빅데이터 분석을 통한 암 맞춤 치료 및 정밀 의학 (precision medicine) 플랫폼 개발

- 암 생물학의 다양한 분야 - 암 대사학 (cancer metabolism), 암 유전체학 (cancer genomics), 암 면역치료 (cancer immunotherapy) -를 아우르는 국제 융합 연구 진행

- 암 및 유전 질환 치료에 결정적인 역할을 하는 유전자 지도 (genetic interaction map) 규명을 위한 인공 지능 및 데이터 사이언스 및 functional screening, 면역학 연구

3. 지원하실 때 생각해 보실 점

- 인공지능 및 데이터 사이언스 및 functional screening/면역학의 융합 연구를 바탕으로 의학의 새로운 패러다임을 열어나갈 인재를 찾습니다.

- 스승과 제자, 멘토와 멘티의 관계로써 연구 뿐만 아니라 인생 전반에서 함께 성장하고자 하는 제자를 찾습니다.

4. 최근 연구 실적

JS Lee^#, et al. Synthetic lethality mediated precision oncology via the tumor transcriptome. Cell (2021).

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R Keshet*, JS Lee*, et al. T argeting purine synthesis in ASS1-expressing tumors enhances the response to immune checkpoint inhibitors. Nature Cancer (2020).

S Kalaora*, JS Lee*, et al. Immunoproteasome expression is associated with better prognosis and response to checkpoint therapies in melanoma. Nature Communications (2020).

G Pathria, JS Lee, et al. Translational reprogramming marks adaptation to asparagine restriction in cancer. Nature Cell Biology (2019).

JS Lee#, E Ruppin#. Multiomics prediction of response rates to therapies to inhibit programmed cell death 1 and programmed cell death 1 ligand 1, JAMA Oncology (2019).

X Feng, N Arang, DC Rigiracciolo, JS Lee#, et al. A platform of synthetic lethal gene interaction networks reveals that the GNAQ uveal melanoma oncogene controls the Hippo pathway through FAK. Cancer Cell (2019).

AD Sahu*, JS Lee*, et al.Genome‐wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy. Molecular Systems Biology (2019).

N Auslander, G Zhang, JS Lee, et al.. Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma. Nature Medicine (2018).

JS Lee*, L Adler*, et al. Urea cycle dysregulation generates clinically relevant genomic and biochemical signatures. Cell (2018). (국민일보: http://news.kmib.co.kr/article/view.asp?arcid=0924023237)

JS Lee*, A Das*, et al. Harnessing synthetic lethality to predict the response to cancer treatment. Nature Communications (2018).