Project description:For the understanding intrinsic cancer cell signatures and the surrounding microenviroment, we provide single-cell 3' RNA sequencing dataon 63,689 cells from 23 CRC patients with 23 primary colorectal cancer and 10 matched normal mucosa samples. Analysis of primary colorectal cancer and normal mucosa samples depicts a comprehensive cellular landscape of colorectal cancer and potential cellular interaction, which would be a valuable resource for the development of therapeutic strategies.
Project description:A database of genes showing differences in expression in synovium tissues and normal synovium tissues of Korean patients with advanced osteoarthritis was established.
Project description:We report the RNA-seq data of 40 advanced colorectal adenoma patients form Dongguk University Ilsan International Hospital. The polyps with a diameter of 1cm or greater were regarded as advenced colorectal adenoma and obtained through colonoscopy. The data consist of 22 tublar adenoma, 6 tublovillous adenoma, 5 sessile serrated adenoma/polyp, 1 traditional serrated adenoma, intramucosal adenocarcinoma, neuroendocrine tumor, hyperplastic polyp, inflammatory polyp, high grade dysplasia, and atypical glands with adjacent hyperplastic mucosa.
Project description:The identification and clinical validation of cancer driver genes are essential to accelerate the translational transition of cancer genomics, as well as to find clinically confident targets for the therapeutic intervention of cancers. Here we identified recurrent LMNA-NTRK1 and TPM3-NTRK1 fusions in Korean patients with colon cancer (3 out of 147, 2%) through next-generation RNA sequencing (RNA-seq). NTRK1 fusions were mutually exclusive oncogenic drivers of colon cancer that were accompanied with in vitro potential of colony formation and in vivo tumorigenicity comparable to KM12, a human colon cancer cell line harboring TPM3-NTRK1 fusion. NTRK1-encoded TrkA protein was prevalent in 11 out of 216 Korean (5.1%) and 28 out of 472 Chinese patients (5.9%) from independent cohorts, respectively. The expression level of TrkA was significantly correlated with NTRK1 fusion (p = 0.0192), which was verified by a fluorescence in situ hybridization (FISH). Korean patients with TrkA-positive colon cancer had a marginal but significant shorter overall survival time than TrkA-negative colon cancer [hazard ratio (HR) = 0.5346, 95% confidential interval (CI) = 0.2548-0.9722, p = 0.0411]. In addition, KM12 cell line was sensitive to selective TrkA inhibitors. These results demonstrate that NTRK1 fusion is granted as a clinically relevant target for therapeutic intervention of colon cancer.
Project description:For the understanding of intrinsic cancer cell signatures and the surrounding microenvironment, we provide single-cell 3’ RNA sequencing data on 27,414 cells from 6 CRC patients in core and border tumor regions, as well as in matched normal mucosa. Analysis of primary colorectal cancer and normal mucosa samples depicts a comprehensive cellular landscape of colorectal cancer and potential cellular interactions, which would be a valuable resource for the development of therapeutic strategies.
Project description:More than 200 asthma-associated genetic variants have been identified in genome-wide association studies (GWASs). Expression quantitative trait loci (eQTL) data resources can help identify causal genes of the GWAS signals, but it can be difficult to find an eQTL that reflects the disease state because most eQTL data are obtained from normal healthy subjects. We performed a blood eQTL analysis using transcriptomic and genotypic data from 436 Korean asthma patients. To identify asthma-related genes, we carried out colocalization and Summary-based Mendelian Randomization (SMR) analysis using the results of asthma GWASs and eQTL data. In addition, we compared the results of disease eQTL data and asthma-related genes with two normal blood eQTL data from Genotype-Tissue Expression (GTEx) project and a Japanese study. We identified 342,054 cis-eQTL and 2,931 eGenes from asthmatic eQTL analysis. We compared the disease eQTL results with GTEx and a Japanese study and found that 63.2 % of the 2,931 eGenes overlapped with the GTEx eGenes and 38.5 % with the Japanese eGenes. Following the integrated analysis of the asthmatic eQTL data with asthma GWASs, using colocalization and SMR methods, we identified 13 asthma-related genes specific to the Korean asthmatic eQTL data. We provided Korean asthmatic cis-eQTL data and identified asthma-related genes by integrating them with GWAS data. In addition, we suggested these asthma-related genes as therapeutic targets for asthma. We envisage that our findings will contribute to understanding the etiological mechanisms of asthma and provide novel therapeutic targets.