CAJ | 학술논문

Gene Expression Ominibus (GEO)是供学者们分享基因表达谱芯片数据、高通量测序数据等的国际化的公共资源平台,其中涵盖了应用炎癌模型获得的大量相关实验数据,比如关于某些炎性因子的表达情况.这些数据为炎癌转化中的调控网络和分子机制的研究提供了帮助,也为肿瘤的防治提供了新思路.研究者针对新的预测基因进行研究时,起源于各种疾病模型或实验处理的GEO数据库为寻找其有关功能提供了有利条件和有力证据.
Gene Expression Ominibus (GEO)시공학자문분향기인표체보심편수거、고통량측서수거등적국제화적공공자원평태,기중함개료응용염암모형획득적대량상관실험수거,비여관우모사염성인자적표체정황.저사수거위염암전화중적조공망락화분자궤제적연구제공료방조,야위종류적방치제공료신사로.연구자침대신적예측기인진행연구시,기원우각충질병모형혹실험처리적GEO수거고위심조기유관공능제공료유리조건화유력증거.
Gene Expression Omnibus (GEO)can act as an international public resource platform storing and sharing experimental data generated from high-throughout research projects that utilize genome-wide expression strategies like microarray screening and analysis.Numerous data involving inflammatory carcinoma models is helpful for dissecting the regulatory network and molecular mechanism of oncogenesis,thus offering favorable clues for new thoughts in prevention and treatment of cancers.GEO originated from various disease models or processed experiments also provides researchers with powerful evidence for tracing functions of novel predictive genes.