微型核糖核酸 (microRNA,簡稱 miRNA) 是由去氧核醣核酸 (Deoxyribonucleic acid,簡稱 DNA)轉錄而來,但無法轉譯成蛋白質的一種小分子 RNA。miRNA 透過訊息核糖核酸(Message RNA,簡稱 mRNA)裂解或轉錄抑制來調控 mRNA,促使基因轉譯為蛋白質。近期有許多研究指出,當 miRNA 發生錯誤調控時,可能會引發細胞分裂失控之現象而造成癌症的發生或是癌症轉移的現象。因此,miRNA 可被視為致癌或抑癌的關鍵角色,以致相關文獻大量產生。因此,本研究希望可以開發出 miRNA 名稱辨識系統,結合現有的疾病名辨識結果來自動化的從生醫文獻中擷取提及之 miRNA 及癌症轉移相關訊息,最後依據得到的結果建立出一個 miRNA 影響癌症轉移的關聯網路圖,讓相關研究者能夠藉由本系統所產生的結果,快速的了解現階段在文獻中提及各 miRNA 影響癌症轉移的情況與相關參考文獻。
A microRNA (miRNA) is a small non-coding RNA, it transcribed from the DNA (Deoxyribonucleic acid) but can’t translate into proteins. miRNAs regulate message RNAs (mRNAs) by cleavage or transcriptional repressor with mRNA to promote the genes translated into proteins. Recently, many studies point out that the error regulation of miRNA may lead to the phenomenon of uncontrolled cell division caused by the phenomenon of metastasis or cancer. Therefore, miRNA can be seen as a key role in oncogenic or tumor suppressor, which lead to a lot of relevant research and published literature. For this reason, we developed a miRNA recognition system and exploit the state-of-the-art text mining technique to automatically extract miRNAs and their related metastasis from biomedical literature. Based on the extracted information, we then constructed a miRNA-induced network that contains information about how miRNAs affect metastasis. We hope that the constructed network can facilitate researchers to understand the impact of various miRNAs and provide literature support information.