류은진 교수
Ryu, Eunjin
서울대학교 생물교육과 · 생화학·유전·분자생물학
연구실 소개
류은진 교수의 연구실은 허위 복제, 유전자 안정성 유지, DNA 복제의 정밀 조절을 핵심으로 삼는 분야에서 활동하고 있습니다. 특히 PCNA의 탈착 메커니즘과 관련된 ATAD5-RLC 복합체의 기능을 중심으로, DNA 복제 후 PCNA의 적시 제거와 유비퀴틴화 상태 조절을 통해 유전적 안정성을 확보하는 분자 기전을 규명하고 있습니다. 또한 R-루프 형성 억제, 복제-전사 갈등 완화, 손상된 DNA의 복구 조절 등 복잡한 유전자 조절 네트워크의 핵심 단백질 기능을 다룹니다.
연구 현황
연구 성과 추이
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주요 논문
14Replication-Factor-C (RFC) and RFC-like complexes (RLCs) mediate chromatin engagement of the proliferating cell nuclear antigen (PCNA). It remains controversial how RFC and RLCs cooperate to regulate PCNA loading and unloading. Here, we show the distinct PCNA loading or unloading activity of each clamp loader. ATAD5-RLC possesses the potent PCNA unloading activity. ATPase motif and collar domain of ATAD5 are crucial for the unloading activity. DNA structures did not affect PCNA unloading activit
R-loops are formed when replicative forks collide with the transcriptional machinery and can cause genomic instability. However, it is unclear how R-loops are regulated at transcription-replication conflict (TRC) sites and how replisome proteins are regulated to prevent R-loop formation or mediate R-loop tolerance. Here, we report that ATAD5, a PCNA unloader, plays dual functions to reduce R-loops both under normal and replication stress conditions. ATAD5 interacts with RNA helicases such as DDX
Proliferating cell nuclear antigen (PCNA) is a DNA clamp essential for DNA replication. During DNA synthesis, PCNA is continuously loaded onto and unloaded from DNA. PCNA recruits various proteins to nascent DNA to facilitate chromosome duplication. Therefore, timely PCNA unloading is crucial for high-fidelity DNA replication. The ATAD5-RFC-like complex (ATAD5-RLC) unloads PCNA from replicated DNA. It is unclear how ATAD5-RLC activity is regulated to prevent premature PCNA unloading. Here, we fi
Mono-ubiquitinated PCNA (mono-Ub-PCNA) is generated when replication forks encounter obstacles, enabling the bypass of DNA lesions. After resolving stalled forks, Ub-PCNA must be de-ubiquitinated to resume high-fidelity DNA synthesis. ATAD5, in cooperation with the UAF1-USP1 complex, is responsible for this de-ubiquitination. However, the precise regulation of timely Ub-PCNA de-ubiquitination remains unclear. Our research reveals that BAZ1B, a regulatory subunit of the BAZ1B-SMARCA5 chromatin-re
Proliferating cell nuclear antigen (PCNA) is a DNA clamp that functions in key roles for DNA replication and repair. After the completion of DNA synthesis, PCNA should be unloaded from DNA in a timely way. The ATAD5-RFC-Like Complex (ATAD5-RLC) unloads PCNA from DNA. However, the mechanism of the PCNA-unloading process remains unclear. In this study, we determined the minimal PCNA-unloading domain (ULD) of ATAD5. We identified several motifs in the ATAD5 ULD that are essential in the PCNA-unload
Ubiquitination status of proliferating cell nuclear antigen (PCNA) is crucial for regulating DNA lesion bypass. After the resolution of fork stalling, PCNA is subsequently deubiquitinated, but the underlying mechanism remains undefined. We found that the N-terminal domain of ATAD5 (ATAD5-N), the largest subunit of the PCNA-unloading complex, functions as a scaffold for Ub-PCNA deubiquitination. ATAD5 recognizes DNA-loaded Ub-PCNA through distinct DNA-binding and PCNA-binding motifs. Furthermore,
Homologous recombination (HR) requires bidirectional end resection initiated by a nick formed close to a DNA double-strand break (DSB), dysregulation favoring error-prone DNA end-joining pathways. Here we investigate the role of the ATAD5, a PCNA unloading protein, in short-range end resection, long-range resection not being affected by ATAD5 deficiency. Rapid PCNA loading onto DNA at DSB sites depends on the RFC PCNA loader complex and MRE11-RAD50-NBS1 nuclease complexes bound to CtIP. Based on
Protein-protein interactions (PPIs) drive virtually all biological processes, yet most PPIs have not been identified and even more remain structurally unresolved. We developed a two-step computational screen for human PPIs. First, a classifier called KIRC (Knowledge-Informed Rapid Classifier), trained on biological features, was used to rank all 200 million possible protein pairs in the human proteome by their interaction likelihood. Second, the ~1.6 million top-ranked KIRC pairs were subjected
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