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이현주 연구실
광주과학기술원 AI융합학과
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이현주 연구실

광주과학기술원 AI융합학과 이현주 교수

이현주 연구실은 생물정보학과 인공지능을 기반으로 멀티오믹스 및 단일세포 데이터 통합, 암·퇴행성 뇌질환의 바이오마커 발굴, 개인맞춤형 치료제 추천, 신약개발 지원, 의생명 자연어처리와 텍스트 마이닝, 그리고 면역치료 응용 연구를 수행하며, 데이터 중심의 정밀의료와 바이오의료 혁신을 목표로 하는 융합 연구실이다.

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생물정보학 기반 멀티오믹스 데이터 통합
주요 논문
5
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1
article
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인용수 0
·
2018
Enhancement of Antitumor Immunity Using Dendritic Cells Combined with Lenalidomide and Programmed Death Ligand-1 Blockade in Multiple Myeloma Mouse Model
Je‐Jung Lee, Manh-Cuong Vo, Sung‐Hoon Jung, Tan-Huy Chu, Hyunju Lee, Thangaraj Jaya Lakshmi, Hyeoung‐Joon Kim
IF 23.1
Blood
Abstract Background: The therapeutic efficacy of dendritic cell (DC)-based immunotherapy may be potentiated in combination with other anticancer therapies that enhance DC function by modulating immune responses and the tumor microenvironment. In this study, we investigated the efficacy of DC vaccination in combination with lenalidomide and programmed death (PD)-1 blockade in a model of murine myeloma. Materials &Methods: MOPC-315 cell lines were injected subcutaneously to establish myeloma-bearing mice and the following five test groups were established: PBS control, DCs, DCs + lenalidomide, DCs + PD-1 blockade, and DCs + lenalidomide + PD-1 blockade. On day 0, mice were injected subcutaneously in the right flank with 5 × 105 MOPC-315 cells in a volume of 0.1 mL. After tumor growth, lenalidomide (0.5 mg/kg/day) was administrated orally once a day for 25 days with a 3-day break after the first 11-day dosing period. Each dose of DCs (1 × 106/mouse) was injected subcutaneously into the left flank of BALB/c mice in a volume of 0.1 mL PBS on days 11, 15, 25, and 29; anti-PD-1 (250 µg/mouse) was injected intraperitoneally in a 0.1 mL volume on the same days as DC vaccination. Results: This study showed that DC vaccination combined to the lenalidomide and PD-1 blockade regiment further inhibited MM tumor growth, consequently prolonging the survival of tumor-bearing mice. These effects were associated with a significant increase in IFN-γ-secreting splenocytes against MOPC-315 and YAC-1 cells, as well as the significantly increased the number of effector CD4+ T cells, CD8+ T cells, effector memory T cells, effector NK cells, and M1 macrophages while effectively discouraging suppressor cells, such as myeloid-derived suppressor cells (MDSCs), M2 macrophages, and regulatory T cells (Tregs) in the systemic immune compartment. These findings evidence the induction of systemic immune response potentially being able to eradicate disseminated diseases. In this study, DCs combined with lenalidomide and PD-1 blockade also heightened the anti-myeloma cell mediate immunity by inducing the Th1 polarization, as evidenced by the high-level production of IFN-γ in the spleen, and by suppressing Th2 immune responses, as evidenced by the low-level production of IL-10 and TGF-β in the spleen and tumor site. Tregs, MDSCs, and M2 macrophages are major elements molding the potent immunosuppressive environment in tumor tissues. The inhibition of Treg, MDSC, and M2 macrophage accumulation in the spleen should further contribute to effective anti-myeloma cell mediate immunity in the systemic immune compartment by reciprocally activating DCs or cytotoxic T lymphocytes. Conclusion: This study suggests that lenalidomide plus PD-1 blockade treatment synergistically enhances the efficacy of DC vaccination in a murine myeloma model by inhibiting the generation of immunosuppressive cells and the Th2 immune response and enhancing effector cells and the Th1 immune responses. We hereby propose a framework for a more efficacious DC-based vaccination strategy against MM with the combination of immunomodulatory drug lenalidomide and anti-PD-1 antibody. Figure. Figure. Disclosures No relevant conflicts of interest to declare.
https://doi.org/10.1182/blood-2018-99-112359
Lenalidomide
Medicine
Multiple myeloma
Blockade
Immunotherapy
Dendritic cell
Pharmacology
Immune system
Cancer research
Immunology
2
article
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인용수 0
·
2017
Cytoplasmic Transduction Peptide-Fused Recombinant Tumor-Associated Antigens Elicit Potent Myeloma-Specific Cytotoxic T Lymphocytes By Loading Onto Dendritic Cells: Implications of Feasible Tumor Antigens for Clinical Application Against Multiple Myeloma
Hyunju Lee, Sung‐Hoon Jung, Manh-Cuong Vo, Thangaraj Jaya Lakshmi, Hye-Sung Park, Tan-Huy Chu, Hyeoung‐Joon Kim, Je‐Jung Lee
IF 23.1
Blood
Abstract Dendritic cell (DC)-based vaccines are one of promising tools in patients with multiple myeloma (MM). However, the source of tumor antigens is still challenging in this field. Here, we evaluated the feasibility of tumor-associated antigens (TAAs) to be loaded onto DCs for improving the efficacy of immunotherapy against MM. Quantitative PCR was performed to evaluate the expression of TAAs from malignant plasma cells isolated from bone marrow mononuclear cells of MM patients. Based on quantitative PCR analysis, 4 cancer testis antigens (SSX2, SSX4, MAGE-A3 and MAGE-C2), hTERT, BCMA, and CD38 were selected to make CTP-fused recombinant TAAs. Then, we made cytoplasm transduction peptide (CTP)-fused recombinant proteins (CTP-SSX2, CTP-SSX4, CTP-MAGEA3, CTP-MAGEC2, CTP-hTERT, CTP-BCMA, and CTP-CD38) for the efficient delivery of TAAs to DCs. After determination of optimal protein dose for loading onto DCs, several functional studies were performed by the DCs. The CTP-fused recombinant TAAs did not deteriorate the function of DCs in terms of phenotype expressions and cytokine productions, including a Th1-polarizing capacity of naive T cells. DCs loaded with each CTP-fused recombinant TAA had successfully generated a myeloma-specific cytotoxic T lymphocyte (CTL) to kill myeloma cell lines and primary myeloma cells. This study showed that CTP-fused recombinant myeloma-associated proteins were a useful tumor antigen source to be loaded onto DCs for generation of myeloma-specific CTLs in vitro . Therefore, CTP-fused recombinant TAAs will become a feasible tumor antigen for the clinical application of DC-based cancer immunotherapy in the field of MM. Disclosures No relevant conflicts of interest to declare.
https://ashpublications.org/blood/article/130/Supplement%201/5455/115802/Cytoplasmic-Transduction-Peptide-Fused-Recombinant
Antigen
Cytotoxic T cell
Immunotherapy
Cancer immunotherapy
CTL*
Tumor antigen
Cancer research
Dendritic cell
Biology
Recombinant DNA
3
article
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인용수 0
·
2014
The Cancer/Testis Antigens of SSX4, MAGE-A3, and CTAG2 Are Attractive Targets for Cancer Immunotherapy in Korean Patients with Multiple Myeloma
Nu-Ri Choi, Sung‐Hoon Jung, Hyunju Lee, Manh-Cuong Vo, My-Dung Hoang, Hyeoung‐Joon Kim, Je‐Jung Lee
IF 23.1
Blood
Abstract Introduction: Cancer/testis antigens (CTAs) are an attractive target for cancer immunotherapy because of a tumor-restricted expression and remarkable immunogenicity. Several CTAs have been used as a source of tumor antigen in dendritic cell therapy against multiple myeloma (MM), but there was no report the CTAs in Asian patients with MM. In this study, we evaluate the expression of 10 CTAs on malignant plasma cells of bone marrow in 18 Korean patients with relapsed or refractory MM. Materials and methods: Eighteen patients with relapsed or refractory MM were classified as four categories according to paraprotein subtypes: IgG (n=7), IgA (n=5), light chain-lambda (n=3), and light chain-kappa (n=3). The expression pattern of 10 CTAs, including NY-ESO-1, SSX2, SSX4, SSX5, MAGE-A3, MAGE-C1, MAGE-C2, BAGE2, CTAG2, and SPA7, was studied by real-time quantitative polymerase chain reaction in CD138+ cells of BM mononuclear cells (MNCs) obtained from MM patients. In addition, we compared it with expression pattern of CTAs in the MNCs from healthy normal donors and the CD138- cells of BM MNCs from MM patients as controls. Results: In CD138+ cells of BM MNCs from the patients, five CTAs, including SSX2, SSX4, MAGE-A3, MAGEC2, and CTAG2, showed high frequency and overall 5.4 to 63.9 fold increase expression in the quantitative mRNA survey compared to MNCs from healthy donors and CD138- cells of BM MNCs from patients. Expression pattern of 5 CTAs was slightly different by paraprotein subtypes: IgA subtype - SSX4 (17.1 fold increase), MAGE-A3 (11.0 fold increase), and CTAG2 (5.9 fold increase); IgG subtype - CTAG2 (63.9 fold increase), SSX4 (40.2 fold increase), and MAGE-A3 (39.9 fold increase); lambda light chain subtype - CTAG2 (42.4 fold increase), SSX4 (29.0 fold increase), and MAGE-A3 (24.4 fold increase); kappa light chain subtype - SSX2 (6.4 fold increase), MAGE-C2 (6.2 fold increase), MAGE-A3 (5.4 fold increase), and SSX4 (5.4 fold increase). Conclusion: This study suggests that three CTAs, such as SSX4, MAGE-A3, and CTAG2, highly expressed on malignant plasma cells are potentially promising targets for cancer immunotherapy in Korean patients with relapsed or refractory MM. Disclosures No relevant conflicts of interest to declare.
https://doi.org/10.1182/blood.v124.21.5757.5757
Antigen
Immunoglobulin light chain
Cancer
Bone marrow
Cancer research
Medicine
Immunotherapy
Cancer immunotherapy
Multiple myeloma
Antibody
정부 과제
39
과제 전체보기
1
2025년 6월-2029년 12월
|1,875,000,000
AI-혁신신약 연구단
■ 퇴행성 뇌질환 및 노화, 암, 대사질환, 면역질환, 감염병 등 5대 주요 질환 극복을 위해, 첨단 AI 모델을 개발하고 이를 기반으로 혁신신약 및 약물전달 新모달리티를 창출함으로써, 신약개발 전주기 구조의 기술적 전환점을 마련하고자 함.■ AI와 바이오·신약개발 전주기를 이해하고 설계할 수 있는 양손잡이형 최고급 AI Co-Researcher 인재를 체...
혁신신약
인공지능
약물 전달
데이터 레이크
AI-CRED 펠로우
2
2025년 3월-2025년 12월
|400,000,000
바이오메디컬 융복합 인재 양성을 위한 G-STAR 프로그램 개발
본 연구과제는 의과학자/의공학자 및 의생명분야 융복합 인재를 육성하기 위한 체계를 광주과학기술원과 전남대 의대에 구축하고 운영함으로써 3년간 60명 이상의 G-STAR (Global Scientist Training for Advanced Research) 인력을 배출하는 것을 목표로 한다.
의과학자
의공학자
의생명연구자
융복합인재
인재양성체계구축
3
2025년 2월-2028년 2월
|234,285,000
암 세포의 이질성을 반영한 암 환자 치료제 추천 AI 시스템
단일세포 수준에서 암세포의 이질성과 미세환경을 반영해서 암 환자에게 맞춤형 치료제를 추천하는 AI 모델 개발을 목표로 한다. 단일세포 RNA, ATAC 등에서 암세포의 이질성과 미세환경을 학습할 수 있는 최적화된 대규모 파운데이션 모델 방법론을 개발한다. 이를 바탕으로 환자의 단일세포 서브타입에서 특이적으로 발현되는 유전자를 발굴하고, 이 유전자의 단백질을...
단일세포
인공지능 파운데이션 모델
암 바이오마커
단백질-약물 상호작용 예측
약물 생성 AI 기법
최신 특허
특허 전체보기
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전체 특허

생성적 데이터 증강 전략에 기반한 대화 요약 모델 학습 방법, 시스템 및, 이를 이용한 대화 요약 방법, 시스템

상태
공개
출원연도
2024
출원번호
1020240090991

ATP2C1 유전자의 DNA 메틸화 변화를 이용한 알츠하이머병 치매진단 마커

상태
등록
출원연도
2022
출원번호
1020220089814

KRT32 유전자의 DNA 메틸화 변화를 이용한 알츠하이머병 치매 예측진단 마커

상태
등록
출원연도
2022
출원번호
1020220089815