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探索与打击任务中异构智能体动态分组策略 Research Article
陈晨1,吴啸尘1,陈杰1,2,Panos M. PARDALOS3,丁舒忻4
《信息与电子工程前沿（英文）》 2022年 第23卷 第1期 页码 86-100 doi: 10.1631/FITEE.2000352
基于面向任务的协同特征向量的联盟形成算法 Article
Hao FANG,Shao-lei LU,Jie CHEN,Wen-jie CHEN
《信息与电子工程前沿（英文）》 2017年 第18卷 第1期 页码 139-148 doi: 10.1631/FITEE.1601608
机器人任务规划：基于PDDL和ASP的任务规划系统实验比较研究 Special Feature on Intelligent Robats
Yu-qian JIANG, Shi-qi ZHANG, Piyush KHANDELWAL, Peter STONE
《信息与电子工程前沿（英文）》 2019年 第20卷 第3期 页码 363-373 doi: 10.1631/FITEE.1800514
王孟钧,张镇森
《中国工程科学》 2011年 第13卷 第8期 页码 62-66
基于子阵sin-FDA的点状波束形成研究 Research Article
Bo Wang, Jun-wei Xie, Jing Zhang, Jia-ang Ge,wb_wangbo1991@163.com
《信息与电子工程前沿（英文）》 2019年 第20卷 第10期 页码 1429-1444 doi: 10.1631/FITEE.1800722
蔡安辉,潘冶,孙国雄,阮许平
《中国工程科学》 2004年 第6卷 第1期 页码 68-73
黄少珉,戚隆宁,杨军,胡晨
《中国工程科学》 2010年 第12卷 第2期 页码 83-89
代谢组扩展生物学的“旁中心法则”——对理解基因组学-糖组学-代谢组学-表观基因组学互作的意义
Albert Stuart Reece
《工程（英文）》 2023年 第26卷 第7期 页码 16-16 doi: 10.1016/j.eng.2022.07.011
The central dogma of biology holds that the transcription of DNA into RNA and the translation of RNA into proteins forms the primary axis of biological activity [1]. Following major advances in the description of the complex glycan and lipid chains that are added onto these basic building blocks, the glycome and lipidome have recently been added to this doctrine as an exciting new extension named the ‘‘paracentral dogma” [2]. However, it has been pointed out that biological systems can include many layers, which are described in modern omics technology platforms relating to both cell-intrinsic and cell-extrinsic layers of control, including metabolomic, microbiomic, immunological, epigenomic, epitranscriptomic, proteomic and phosphoproteomic layers [3].
It is well known that stem and progenitor cells have a metabolism that is based on glycolysis and glutaminolysis [4]. Although this provides less energy to the cell than oxidative phosphorylation, it suffices for these cells’ needs, since such cells are generally relatively quiescent and normally suppress energy-intensive processes such as genome duplication and transcription. Moreover, it has been shown that the high intracellular lactate levels involved in such states not only inhibits the key gatekeeper enzymes of oxidative phosphorylation (i.e., pyruvate dehydrogenase and carnitine palmitoyl acyltransferase) but also actually covalently modifies them by lactylation in order to maintain this inhibited metabolic–epigenomic state [5]. In addition, intermediate metabolism and nutrients are the source of the very extensive library of post-translational modifications to DNA, RNA, and proteins, as well as supplying cellular energy for many of the required reactions. Hence, the metabolic state locks in and reinforces the epigenomic state, and the metabolome and epigenome thereby play mutually reinforcing roles. This self-reinforcing coordination explains why it is so difficult to generate induced pluripotent cells and is a contributory explanation for why the described protocols typically have such low cellular yields.
These concepts become even more important when it is considered that cancer cells are de-differentiated, similarly rely on glycolysis and glutaminolysis, and are similarly metabolically–epigenomically–genomically synchronized. The disruption of this metabolic system is a key focus of mechanistic cancer research.
These important considerations imply that the descriptive and predictive power of the newly described ‘‘paracentral dogma” of biology may be usefully and meaningfully extended by including the metabolome, along with the genome, transcriptome, proteome, glycome, and lipidome, to describe cell-intrinsic regulation—not only in terms of another omics analytical layer but also as a fully predictive and interactive partner in the symphonic-like multilayer coordination that evidently comprises cellular regulatory layering.
满足MapReduce环境下近似处理的时限要求 Article
Ming-hao HU, Chang-jian WANG, Yu-xing PENG
《信息与电子工程前沿（英文）》 2017年 第18卷 第11期 页码 1754-1772 doi: 10.1631/FITEE.1601056
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