《核酸研究》（Nucleic Acids Research）雜志于11月9日在線發(fā)表了中國(guó)科學(xué)院上海生命科學(xué)研究院生物化學(xué)與細(xì)胞生物學(xué)研究所季紅斌研究組與華東師范大學(xué)石鐵流研究組合作開(kāi)發(fā)的一個(gè)肺癌相關(guān)基因、蛋白以及小分子RNA的信息庫(kù)平臺(tái),。
肺癌是危害人類的重大疾病之一,，具有非常高的致死率，在全球范圍內(nèi)其五年生存率大約為15%,，而在我國(guó)還不足10%,。近幾十年以來(lái)集中于肺癌的基礎(chǔ)研究或轉(zhuǎn)化應(yīng)用研究已經(jīng)積累了一系列的數(shù)據(jù)和信息，但起勁還沒(méi)有一個(gè)平臺(tái)可以給科研工作者提供系統(tǒng)性的信息服務(wù),。
季紅斌研究組與石鐵流研究組合作,，分析了271個(gè)肺癌樣本的表達(dá)譜數(shù)據(jù)，同時(shí)結(jié)合文獻(xiàn)數(shù)據(jù)的人工挖掘,，建立了一個(gè)整合肺癌相關(guān)基因,、蛋白（主要是轉(zhuǎn)錄因子）以及小分子RNA的信息平臺(tái)。該平臺(tái)目前包括在肺癌發(fā)生發(fā)展不同階段起作用的2585個(gè)基因和212個(gè)小分子RNA,，并整合其啟動(dòng)子區(qū)域分析,、表觀遺傳學(xué)改變和SNP位點(diǎn)分析,。此外，該平臺(tái)還包括在肺癌發(fā)病過(guò)程中一些重要的信號(hào)通路,。用戶可以直接通過(guò)平臺(tái)鏈接瀏覽與肺癌相關(guān)的基因,、小分子RNA、SNP位點(diǎn),、甲基化以及信號(hào)通路等等,。這一肺癌相關(guān)信息平臺(tái)的建立不僅有助于對(duì)某些特定的分子或生物學(xué)標(biāo)記物進(jìn)行深入的了解，而且為系統(tǒng)性地研究肺癌發(fā)病相關(guān)的分子機(jī)理奠定了堅(jiān)實(shí)的基礎(chǔ),。
該項(xiàng)研究工作得到了國(guó)家科技部,、基金委、中國(guó)科學(xué)院和上海市科委的經(jīng)費(fèi)支持,。（生物谷Bioon.com）
生物谷推薦原始出處：
Nucleic Acids Research, doi:10.1093/nar/gkp945
HLungDB: an integrated database of human lung cancer research
Lishan Wang1, Yuanyuan Xiong1, Yihua Sun2, Zhaoyuan Fang2, Li Li2, Hongbin Ji2,* and Tieliu Shi1,3,*
1Center for Bioinformatics and Computational Biology, and The Institute of Biomedical Sciences, College of Life Science, East China Normal University, Shanghai 200241, 2Laboratory of Molecular Cell Biology, Institute of Biochemistry and Cell Biology and 3Shanghai Information Center for Life Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Science, Shanghai 200031, China
The human lung cancer database (HLungDB) is a database with the integration of the lung cancer-related genes, proteins and miRNAs together with the corresponding clinical information. The main purpose of this platform is to establish a network of lung cancer-related molecules and to facilitate the mechanistic study of lung carcinogenesis. The entries describing the relationships between molecules and human lung cancer in the current release were extracted manually from literatures. Currently, we have collected 2585 genes and 212 miRNA with the experimental evidences involved in the different stages of lung carcinogenesis through text mining. Furthermore, we have incorporated the results from analysis of transcription factor-binding motifs, the promoters and the SNP sites for each gene. Since epigenetic alterations also play an important role in lung carcinogenesis, genes with epigenetic regulation were also included. We hope HLungDB will enrich our knowledge about lung cancer biology and eventually lead to the development of novel therapeutic strategies. HLungDB can be freely accessed at http://www.megabionet.org/bio/hlung.
