Young-Joon Jeon
Sungkyunkwan University · Biochemistry, Genetics and Molecular Biology
About the Lab
Professor Young-Joon Jeon's research lab focuses on molecular and computational oncology, with a central emphasis on the regulatory roles of non-coding RNAs—particularly microRNAs and long non-coding RNAs—in cancer progression, metastasis, and therapy resistance. The lab investigates tumor suppressor networks involving p53, MYC, and TUSC3, exploring their interactions with non-coding RNAs and downstream signaling pathways such as the unfolded protein response and NF-κB. Using integrative approaches combining genomics, functional assays, and machine learning, the lab aims to decode regulatory mechanisms in hepatocellular carcinoma, colorectal cancer, and non-small cell lung cancer, with translational applications in anticancer peptide discovery and therapeutic target identification.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15p53 suppresses tumor progression and metastasis. Epithelial-mesenchymal transition (EMT) is a key process in tumor progression and metastasis. The transcription factors ZEB1 and ZEB2 promote EMT. Here, we show that p53 suppresses EMT by repressing expression of ZEB1 and ZEB2. By profiling 92 primary hepatocellular carcinomas (HCCs) and 9 HCC cell lines, we found that p53 up-regulates microRNAs (miRNAs), including miR-200 and miR-192 family members. The miR-200 family members transactivated by p5
BACKGROUND: The functions of long noncoding RNAs (lncRNAs) have been identified in several cancers, but the roles of lncRNAs in colorectal cancer (CRC) are less well understood. The transcription factor MYC is known to regulate lncRNAs and has been implicated in cancer cell proliferation and tumorigenesis. METHODS: CRC cells and tissues were profiled to identify lncRNAs differentially expressed in CRC, from which we further selected MYC-regulated lncRNAs. We used luciferase promoter assay, ChIP,
Anticancer peptides are emerging anticancer drug that offers fewer side effects and is more effective than chemotherapy and targeted therapy. Predicting anticancer peptides from sequence information is one of the most challenging tasks in immunoinformatics. In the past ten years, machine learning-based approaches have been proposed for identifying ACP activity from peptide sequences. These methods include our previous method MLACP (developed in 2017) which made a significant impact on anticancer
TRAIL (TNF-related apoptosis-inducing ligand) is a promising anticancer agent that can be potentially used as an alternative or complementary therapy because of its specific antitumor activity. However, TRAIL can also stimulate the proliferation of cancer cells through the activation of NF-κB, but the exact mechanism is still poorly understood. In this study, we show that chronic exposure to subtoxic concentrations of TRAIL results in acquired resistance. This resistance is associated with the i
Non-small cell lung carcinoma (NSCLC) is leading cause of cancer-related deaths in the world. The Tumor Suppressor Candidate 3 (TUSC3) at chromosome 8p22 known to be frequently deleted in cancer is often found to be deleted in advanced stage of solid tumors. However, the role of TUSC3 still remains controversial in lung cancer and context-dependent in several cancers. Here we propose that miR-224/-520c-dependent TUSC3 deficiency enhances the metastatic potential of NSCLC through the alteration o
Long noncoding RNAs (lncRNAs) are primarily regulated by their cellular localization, which is responsible for their molecular functions, including cell cycle regulation and genome rearrangements. Accurately identifying the subcellular location of lncRNAs from sequence information is crucial for a better understanding of their biological functions and mechanisms. In contrast to traditional experimental methods, bioinformatics or computational methods can be applied for the annotation of lncRNA s
The worldwide appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has generated significant concern and posed a considerable challenge to global health. Phosphorylation is a common post-translational modification that affects many vital cellular functions and is closely associated with SARS-CoV-2 infection. Precise identification of phosphorylation sites could provide more in-depth insight into the processes underlying SARS-CoV-2 infection and help alleviate the continuing
Hepatocellular carcinoma (HCC) is one of the most deadly genetic diseases, but surprisingly chemotherapeutic approaches against HCC are only limited to a few targets. In particular, considering the difficulty of a chemotherapeutic drug development in terms of cost and time enforces searching for surrogates to minimize effort and maximize efficiency in anti-cancer therapy. In spite of the report that approximately one thousand lichen-derived metabolites have been isolated, the knowledge about the
본 논문은 온라인과 오프라인 모드에서 일어나는 청소년 비행의 증가에 영향을 미치는 요인들을 매개분석을 통해 파악한다. 부모의 부정적 양육태도가 청소년 온라인·오프라인에 미치는 영향을 검증하는데 있어 매개변수로서 스마트폰 의존도와 정서상태를 포함하여 다중매개효과를 분석하였다. 이러한 다중매개효과가 문화활동 참여에 따라 완화되는지를 분석하고자 문화활동 참여 여부에 따라 표본을 구분하여 독립변수와 매개변수의 영향력이 문화활동 참여집단과 비참여집단 간에 어떻게 다르게 나타나는지를 검증하였다. 한국아동·청소년패널조사(Koeran Children Youth Panel Study 2018)의 데이터를 활용한 분석한 결과, 온라인과 오프라인 모드에서의 청소년 비행의 증가에 부모의 부정적 양육태도가 영향을 미치게 되는데 스마트폰 의존과 청소년의 정서상태는 유의미한 매개효과를 보였고 문화활동 참여 집단에서 이러한 영향력이 다소 완화되는 것으로 나타났다.
Colorectal cancer (CRC) is a deadly disease regardless of sex, and a few therapeutic approaches have been fully developed at advanced stages, even if some strategies have durable clinical benefits, such as immunotherapy and chemotherapy. Ganoderma lucidum has been recognized as an organism that suppresses tumors and inflammation; however, the molecular mechanisms induced by a triterpenoid in Ganoderma lucidum, Lucidumol A, have not yet been fully explored in CRC and inflammatory responses. To th
본 연구는 중소기업을 위한 연구·인력개발 지원제도가 기술혁신 성과에 미치는 영향과 그 영항에 있어서 기업가정신의 매개효과를 검증한다. 연구진은 한국산업기술진흥협회에 기업부설연구소와 연구개발전담부서가 등록되어 있는 제조업 기반의 1,000개 중소기업을 대상으로 설문조사를 시행하였다. 설문데이터에 대한 분석결과는 다음과 같이 요약된다. 첫째, 연구·인력개발 지원제도와 기술혁신 성과 간에는 전반적으로 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 연구·인력개발 지원제도와 기업가정신 간에는 전반적으로 긍정적인 영향을 미치는 것으로나타났다. 셋째, 기업가정신과 기술혁신 성과 간에는 전반적으로 긍정적인 영향을 미치는 것으로 나타났다. 넷째, 기업가정신의 매개효과 분석 결과, 사업화 효과에는 부분매개효과, 기술경쟁력 변화에는 완전매개효과를 보였다. 이를 바탕으로 대기업에 비해 전반적인 기반이 약한 중소기업에게 있어 중요한 외부자원의 역할을 하는 연구·인력개발 지원제도의 혜택을 받기위해 정부는
Research Areas
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