Ja‐Lok Ku
서울대학교 의과학과 · 의학
Ja-Lok Ku 교수의 연구실은 대체로 결장암, 간세포암, 자궁경부암 등 한국인 환자에서 유래한 다양한 인간 종양 세포주를 확보하고 있으며, 이들을 기반으로 암 생물학과 치료 전략 개발을 연구하고 있습니다. 특히 암의 발병 기전을 밝히기 위해 DNA 메틸화, 유전자 돌연변이, 마이크로RNA 발현 등 유전적· epigenetic적 변화를 중심으로 연구를 진행하고 있습니다. 또한 메트포르민과 같은 기존 약물의 항암 효과와 병용요법의 임상적 응용 가능성에 대해서도 탐구하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
SNU (Seoul National University) cell lines have been established from Korean cancer patients since 1982. Of these 109 cell lines have been characterized and reported, i.e., 17 colorectal carcinoma, 12 hepatocellular carcinoma, 11 gastric carcinoma, 12 uterine cervical carcinoma, 17 B-lymphoblastoid cell lines derived from cancer patients, 5 ovarian carcinoma, 3 malignant mixed Mllerian tumor, 6 laryngeal squamous cell carcinoma, 7 renal cell carcinoma, 9 brain tumor, 6 biliary tract, and 4 pancr
DNA methylation patterns in CpG-rich regions of promoter, CpG islands, are concerned in regulation of gene expression in mammalian cells. Excessive methylation of CpG dinucleotides in promoter represses the gene expression. In cancer, especially, gene silencing is occurred through aberrant methylation in promoter of tumor suppressor genes. Methylation-specific PCR (MSP) is a method for analysis of DNA methylation patterns in CpG islands. For performing MSP, DNA is modified by and PCR performed w
Thirteen human colorectal cancer (CRC) cell lines were established from 10 primary tumors and 3 metastatic tumors obtained from 13 Korean patients. Characteristics of the cell lines including morphology in vivo and in vitro ; mutations of the K-ras , p53 , APC and MMR genes and microsatellite instability (MSI) status in vitro were determined. Expression of drug-sensitivity genes including MDR1 , MXR , MRP1 and COX2 was also analyzed. The cell lines were unique as judged by DNA fingerprinting usi
A metastasis of colorectal cancer is difficult to diagnose, and has a poor prognosis. Therefore, we tried to elucidate the possibility of a diagnostic and prognostic marker. Exosomal miR-193a and let-7g were sorted by miRNA microarray. The expression of miR-193a in the PTM group was lower than that of the primary CRC group, and the expression of let-7g was higher than that of the primary CRC. MMP16 and CDKN1A expression was confirmed respectively for target genes of two miRNAs. When the mimics o
Promoter hypermethylation of the ADAM23 gene, which is normally involved in cell-to-cell and cell-to matrix adhesion, has been reported in pancreatic, breast and brain cancer, and recently the role of this gene was examined in gastric cancer. In this study, we analyzed ADAM23 expression in colorectal cancer cell lines and examined its methylation by methylation-specific PCR (MSP) and bisulfate-modified DNA sequencing analysis. Methylated cells were treated with 5-aza-2'-deoxycytidine to restore
A total of 12 carcinoma cell lines of the human uterine cervix were established from 5 keratinizing and 5 nonkeratinizing squamous-cell carcinomas, and 2 small-cell carcinomas. Of these, 10 lines grew as adherent cells and 2 as floating aggregates. All lines showed (i) similarity in morphology to the primary tumor from which they were derived; (ii) high viability with relatively long doubling times (48-96 hr); (iii) absence of Mycoplasma and other bacteria, apart from one Mycoplasma-contaminated
These newly established and characterized laryngeal squamous cell carcinoma cell lines will be useful for investigating the biologic characteristics of laryngeal cancer.
Gastrointestinal stromal tumor (GIST) is the most common sarcoma in the gastrointestinal (GI) tract. Approximately 85% of the GIST is associated with a c-KIT mutation. A few GISTs show mutations in the gene encoding platelet-derived growth factor receptor alpha (PDGFR α or PDGFRA) without c-KIT gene mutation. GIST without c-KIT or PDGFRA mutations, which called wild type GIST, is about 5-10% of the total GIST. Fusion genes were also reported as one of the factors associated with carcinogenesis a
Our comprehensive bioinformatics analyses of highly heterogeneous cancer cells, combined with tumor "omics" profiles, can optimally characterize the expression patterns and activity of specific tumor biomarkers. Subsequent in vitro and in vivo validation, of specific disease biomarkers (using multiple methodologies), can improve prediction of patient stratification according to drug response or nonresponse.