Identification of transcription factors that may reprogram lung adenocarcinoma
文献类型：期刊论文
| 作者 | Liu, Chenglin2; Zhang, Yu-Hang1; Huang, Tao1; Cai, Yudong3; , |
| 刊名 | ARTIFICIAL INTELLIGENCE IN MEDICINE
 |
| 出版日期 | 2017 |
| 卷号 | 83期号:-页码:52-57 |
| ISSN号 | 0933-3657 |
| 关键词 | Lung adenocarcinoma Transcription factor Tumorigenesis Greedy algorithm |
| DOI | 10.1016/j.artmed.2017.03.010 |
| 文献子类 | Article |
| 英文摘要 | Background: Lung adenocarcinoma is one of most threatening disease to human health. Although many efforts have been devoted to its genetic study, few researches have been focused on the transcription factors which regulate tumor initiation and progression by affecting multiple downstream gene transcription. It is proved that proper transcription factors may mediate the direct reprogramming of cancer cells, and reverse the tumorigenesis on the epigenetic and transcription levels. Methods: In this paper, a computational method is proposed to identify the core transcription factors that can regulate as many as possible lung adenocarcinoma associated genes with as little as possible redundancy. A greedy strategy is applied to find the smallest collection of transcription factors that can cover the differentially expressed genes by its downstream targets. The optimal subset which is mostly enriched in the differentially expressed genes is then selected. Results: Seven core transcription factors (MCM4, VWF, ECT2, RBMS3, LIMCHI, MYBL2 and FBXL7) are detected, and have been reported to contribute to tumorigenesis of lung adenocarcinoma. The identification of the transcription factors provides a new insight into its oncogenic role in tumor initiation and progression, and benefits the discovery of functional core set that may reverse malignant transformation and reprogram cancer cells. (C) 2017 Elsevier B.V. All rights reserved. |
| 学科主题 | Computer Science ; Engineering ; Medical Informatics |
| WOS关键词 | MESSENGER-RNA EXPRESSION ; GENE-EXPRESSION ; GENOMIC ALTERATIONS ; CELL-PROLIFERATION ; FORK PROGRESSION ; BREAST-CANCER ; ACTIVATION ; DNA ; METASTASIS ; PROMOTES |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000418314700006 |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/1017]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Hlth Sci, Shanghai 200031, Peoples R China; 2.Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200240, Peoples R China; 3.Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China, |
| 推荐引用方式 GB/T 7714 | Liu, Chenglin,Zhang, Yu-Hang,Huang, Tao,et al. Identification of transcription factors that may reprogram lung adenocarcinoma[J]. ARTIFICIAL INTELLIGENCE IN MEDICINE,2017,83(-):52-57. |
| APA | Liu, Chenglin,Zhang, Yu-Hang,Huang, Tao,Cai, Yudong,&,.(2017).Identification of transcription factors that may reprogram lung adenocarcinoma.ARTIFICIAL INTELLIGENCE IN MEDICINE,83(-),52-57. |
| MLA | Liu, Chenglin,et al."Identification of transcription factors that may reprogram lung adenocarcinoma".ARTIFICIAL INTELLIGENCE IN MEDICINE 83.-(2017):52-57. |
入库方式： OAI收割
来源：上海营养与健康研究所
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