九州大学 · Biochemistry, Genetics and Molecular Biology
Keiichi I. Nakayama 교수의 연구실은 종양 생물학과 단백질 분해 메커니즘을 중심으로 한 분자 생물학적 연구를 수행하고 있습니다. 특히 Fbw7 단백질이 유전자 조절과 혈관 형성에서 핵심적인 역할을 하며, 이는 암 발생과 관련된 신호 전달 경로의 핵심 조절자임을 규명하고 있습니다. 또한, 단백질 유비퀴틴화와 관련된 단백질의 정밀한 분석을 통해 암 및 발달 이상의 분자 기전을 밝히는 데 초점을 맞추고 있습니다. 최근에는 인공지능 기반의 암 연구 도구 개발에도 기여하며, 전임상 연구와 임상 응용 간 격차를 줄이려는 다학제적 접근을 펼치고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Abstract Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature extraction, is increasingly being applied in various areas of both basic and clinical cancer research. In this review, we describe numerous recent examples of the application of AI in oncology, including cases in which deep learning has efficiently s
Mammalian Fbw7 (also known as Sel-10, hCdc4, or hAgo) is the F-box protein component of an SCF (Skp1-Cul1-F-box protein-Rbx1)-type ubiquitin ligase, and the mouse Fbw7 is expressed prominently in the endothelial cell lineage of embryos. We generated mice deficient in Fbw7 and found that the embryos died in utero at embryonic day 10.5-11.5, manifesting marked abnormalities in vascular development. Vascular remodeling was impaired in the brain and yolk sac, and the major trunk veins were not forme
Protein ubiquitylation contributes to the regulation of many cellular processes including protein degradation, receptor internalization, and repair of DNA damage. We now present a comprehensive characterization of ubiquitin-conjugated and ubiquitin-associated proteins in human cells. The proteins were purified by immunoaffinity chromatography under denaturing or native conditions. They were then digested with trypsin, and the resulting peptides were analyzed by 2-D LC and MS/MS. A total of 670 d
