Nature Biotechnology Abbreviation ISO4 - ResearchHelpDesk

Nature Biotechnology Abbreviation ISO4 - ResearchHelpDesk - Nature Biotechnology is interested in the best research from across the field of Biotechnology; our broad scope ensures that work published reaches the widest possible audience. All editorial decisions are made by a team of full-time professional editors. Nature Biotechnology is a monthly journal covering the science and business of biotechnology. It publishes new concepts in technology/methodology of relevance to the biological, biomedical, agricultural and environmental sciences as well as covers the commercial, political, ethical, legal, and societal aspects of this research. The first function is fulfilled by the peer-reviewed research section, the second by the expository efforts in the front of the journal. We provide researchers with news about business; we provide the business community with news about research developments. The core areas in which we are actively seeking research papers include: molecular engineering of nucleic acids and proteins; molecular therapy (therapeutics genes, antisense, siRNAs, aptamers, DNAzymes, ribozymes, peptides, proteins); large-scale biology (genomics, functional genomics, proteomics, structural genomics, metabolomics, etc.); computational biology (algorithms and modeling), regenerative medicine (stem cells, tissue engineering, biomaterials); imaging technology; analytical biotechnology (sensors/detectors for analytes/macromolecules), applied immunology (antibody engineering, xenotransplantation, T-cell therapies); food and agricultural biotechnology; and environmental biotechnology. A comprehensive list of areas of interest is shown below. Strategies for controlling gene expression Strategies for manipulating gene structure Strategies for gene containment Technologies for analyzing gene function (e.g., arrays, SAGE) Technologies for analyzing gene structure/organization (e.g., molecular beacons) Chemogenomics or chemical genetics Pharmacogenomics/SNPs Computational analysis Technologies for analyzing/identifying protein structure/function (e.g., 2-D gels, mass spectrometry, yeast two-hybrid, SPR, NMR, arrays and chips) Structural genomics Computational analysis Technologies for analyzing/profiling metabolites (chromatography, mass spectrometry) Computational analysis Bioinformatics; algorithms; data deconvolution Modeling and systems biology: kinetics-based models and constraints-based models Rational approaches for proteins/antibodies/enzymes/drugs Molecular evolution Molecular breeding approaches Genetic manipulation of species of interest to modify or allow the production of a commercially or therapeutically relevant compound Computational analysis Mammalian cells Insect cells Bacteria Fungi Plant cells Targeting strategies Viral and nonviral vector strategies Reporter molecules Imaging approaches/technologies for visualizing whole animals, cells, or single molecules Computational analysis Gene therapy (targeting, expression, integration, immunogenicity) Antisense RNAi DNAzymes and ribozymes Nanomaterials for use in drug delivery or as therapeutics Nanomaterials for use in industrial biotechnology Nanosensors Nanosystems for imaging molecules and cells Antibody engineering T-cell therapies Therapies exploiting innate immunity (e.g. complement) Antigen delivery vectors and approaches Nucleic acid vaccines Computational analysis Stem cells Tissue engineering Therapeutic cloning (somatic cell nuclear transfer) Xenotransplantation Biomaterials Approaches for detecting biological molecules Use of biological systems in detecting analytes Approaches for multiplexing and increasing throughput Selection/screening strategies for gene/proteins/drugs Microfluidics Engineering materials for biological application Molecular imprinting Biomimetics Nanotechnology Crop improvement (resistance to stress, disease, pests) Nutraceuticals Forest biotechnology Plant vaccines Plants as bioreactors Gene-containment strategies Transgenic animals Knockouts Reproductive cloning Biopharmaceutical and enzyme production Transgene targeting and expression strategies Bioremediation Biomining Phytoremediation Monitoring

《自然生物技术》期刊（Nature Biotechnology）致力于收录生物技术领域的卓越研究成果；其广泛的涵盖范围确保了所发表作品能够触及最广泛的受众。所有编审决策均由一支全职专业编辑团队作出。该期刊以月度出版，涵盖生物技术领域的科学与商业方面。它发布与生物学、生物医学、农业和环境科学相关的技术/方法论新概念，并涵盖相关研究的商业、政治、伦理、法律和社会方面。期刊的第一项功能由同行评审的研究部分实现，第二项功能则由期刊前面的阐释性内容完成。我们为研究人员提供商业新闻，同时为商业界提供研究进展的报道。我们积极寻求的研究论文的核心领域包括：核酸和蛋白质的分子工程；分子治疗（治疗性基因、反义寡核苷酸、siRNA、适配体、DNA酶、核酶、肽、蛋白质）；大规模生物学（基因组学、功能基因组学、蛋白质组学、结构基因组学、代谢组学等）；计算生物学（算法和建模）、再生医学（干细胞、组织工程、生物材料）；成像技术；分析生物技术（用于分析物/大分子的传感器/探测器），应用免疫学（抗体工程、异种移植、T细胞疗法）；食品和农业生物技术；以及环境生物技术。以下列出的是我们感兴趣的领域全面列表。基因表达调控策略、基因结构操控策略、基因封闭技术、分析基因功能的技术（例如，芯片、SAGE）、分析基因结构/组织的技术（例如，分子信标）、化学生物学或化学遗传学、药学生物学/单核苷酸多态性、计算分析、分析/识别蛋白质结构/功能的技术（例如，二维凝胶、质谱、酵母双杂交、表面等离子体共振、核磁共振、芯片和微阵列）、结构基因组学、计算分析、分析/描述代谢物的技术（色谱、质谱）、计算分析、生物信息学；算法；数据反卷积、基于动力学的建模和基于约束的建模、蛋白质/抗体/酶/药物理性方法、分子进化、分子育种方法、针对感兴趣物种的遗传操作以修改或允许生产具有商业或治疗相关化合物的计算分析、哺乳动物细胞、昆虫细胞、细菌、真菌、植物细胞、靶向策略、病毒和非病毒载体策略、报告分子、用于可视化整个动物、细胞或单个分子的成像方法/技术、计算分析、基因治疗（靶向、表达、整合、免疫原性）、反义RNA干扰、DNA酶和核酶、用于药物递送或作为治疗剂的纳米材料、用于工业生物技术的纳米材料、纳米传感器、用于成像分子和细胞的纳米系统、抗体工程、T细胞疗法、利用先天免疫的疗法（例如，补体）、抗原递送载体和方法、核酸疫苗、计算分析、干细胞、组织工程、治疗性克隆（体细胞核移植）、异种移植、生物材料、检测生物分子的方法、在检测分析物中使用生物系统的方法、用于多路复用和增加通量的方法、基因/蛋白质/药物选择/筛选策略、微流控、用于生物应用的工程材料、分子印迹、仿生学、纳米技术、作物改良（抗逆性、疾病、害虫）、功能性食品、森林生物技术、植物疫苗、植物作为生物反应器、基因封闭策略、转基因动物、敲除、生殖克隆、生物制药和酶的生产、转基因靶向和表达策略、生物修复、生物采矿、植物修复、监测。