Integration of omics data: how well does it work for bacteria?

In the current omics era, innovative high-throughput technologies allow measuring temporal and conditional changes at various cellular levels. Although individual analysis of each of these omics data undoubtedly results into interesting findings, it is only by integrating them that gaining a global insight into cellular behaviour can be aimed at. A systems approach thus is predicated on data integration. However, because of the complexity of biological systems and the specificities of the data-generating technologies (noisiness, heterogeneity, etc.), integrating omics data in an attempt to reconstruct signalling networks is not trivial. Developing its methodologies constitutes a major research challenge. Besides for their intrinsic value towards health care, environment and industry, prokaryotes are ideal model systems to further develop these methods because of their lower regulatory complexity compared with eukaryotes, and the ease with which they can be manipulated. Several successful examples outlined in this review already show the potential of the systems approach for both fundamental and industrial applications, which would be time-consuming or impossible to develop solely through traditional reductionist approaches.     

整合分析多组学数据筛选疾病靶点的精准医学策略

随着高通量测序技术的不断发展与完善,对于不同层次和类型的生物组学数据的获取及分析方法也日趋成熟与完善。基于单组学数据的疾病研究已经发现了诸多新的疾病相关因子,而整合多组学数据研究疾病靶点的工作方兴未艾。生命体是一个复杂的调控系统,疾病的发生与发展涉及基因变异、表观遗传改变、基因表达异常以及信号通路紊乱等诸多层次的复杂调控机制,利用单一组学数据分析致病因子的局限性愈发显著。通过对多种层次和来源的高通量组学数据的整合分析,系统地研究临床发病机理、确定最佳疾病靶点已经成为精准医学研究的重要发展方向,将为疾病研究提供新的思路,并对疾病的早期诊断、个体化治疗和指导用药等提供新的理论依据。本文详细介绍了基因组、转录组和表观组等系统组学研究在疾病靶点筛选方面出现的新技术手段和研究进展,并对它们之间的整合分析新策略和优势进行了讨论。     

Meta-analysis在多种组学领域的应用

Meta-analysis作为一种整合多特征、多数据的统计方法,上世纪90年代被引入生命科学领域。随着高通量测序技术的快速发展,以基因组学、转录组学和蛋白质组学为核心的生命组学逐渐成为生命科学研究的新热点。海量数据的快速产出推动了组学研究的发展,也引发了数据规模过大、难以系统整合等问题。针对上述情况,meta-analysis被广泛地应用于分析各组学数据,方法也不断得到改进。本文系统总结了有代表性的meta-analysis方法,考察了目前meta-analysis在多个组学领域的应用现状,最后讨论了meta-analysis尚待解决的问题并展望未来的发展方向。     

组学技术在产油微生物中的应用

微生物油脂是未来燃料和食品用油的重要潜在资源。近年来,随着系统生物学技术的快速发展,从全局角度理解产油微生物生理代谢及脂质积累的特征成为研究热点。组学技术作为系统生物学研究的重要工具被广泛用于揭示产油微生物脂质高效生产的机制研究中,这为产油微生物理性遗传改造和发酵过程控制提供了基础。文中对组学技术在产油微生物中的应用概况进行了综述,介绍了产油微生物组学分析常用的样品前处理及数据分析方法,综述了包括基因组、转录组、蛋白(修饰)组及代谢(脂质)组等在内的多种组学技术,以及组学数据基础上的数学模型在揭示产油微生物脂质高效生产机制中的研究,并对未来发展和应用进行了展望。     

系统生物学研究中不同组学数据的整合

高通量实验方法的发展导致大量基因组、转录组、代谢组等组学数据的出现,组学数据的整合为全面了解生物学系统提供了条件.但是,由于当前实验技术手段的限制,高通量组学数据大多存在系统偏差,数据类型和可靠程度也各不相同,这给组学数据的整合带来了困难.本文以转录组、蛋白质组和代谢组为重点,综述了近年来组学数据整合方面的研究进展,包括新的数据整合方法和分析平台.虽然现存的数据统计和网络分析的方法有助于发现不同组学数据之间的关联,但是生物学意义上的深层次的数据整合还有待于生物、数学、计算机等各种领域的全面发展.     

基于组学技术的维生素C二步混菌发酵研究进展

二步发酵法是工业化生产维生素C (vitamin C, Vc)的主要方法,其中第二步由伴生菌与产酸菌(普通生酮基古龙酸菌)组合进行混菌发酵产生Vc前体2-酮基-l-古龙酸(2-keto-l-gluonic acid, 2-KLG)的机制,一直是科研人员研究的重要科学问题。通过高通量基因组学、转录组学、蛋白组学、代谢组学等组学技术揭示生物系统中各个组分相互作用关系已经成为主要的研究手段。本文对近年来利用组学技术解析Vc混菌发酵中两菌互作关系、解除发酵系统的氧化胁迫、伴生活性物质、产酸菌群体感应、外源添加物、基因工程改造产酸菌促进产2-KLG等方面的研究进行综述,并为进一步的探索和深入研究提供思路。     

空间转录物组学技术进展及其在神经科学领域中的应用

空间转录物组学是在单细胞RNA测序技术基础上实现细胞空间位置信息测定的组学技术。该技术克服了单细胞转录物组学在单细胞分离建库过程中丢失细胞在组织中空间信息的问题,可同时提供研究对象的转录物组数据信息和在组织中的空间位置信息。空间转录物组学技术对研究细胞谱系的发生过程、细胞间的调控机制和相互作用等具有重要作用,是组学技术研究的重要发展方向和热点。近年来,空间转录物组学技术发展迅速,新的检测方法不断产生,检测灵敏度、分辨率和检测通量等技术指标不断提升。本文根据获取空间信息的原理不同,将较为常用的空间转录物组学技术进行了分类,总结了各类方法的检测原理、代表性技术手段及其相应的技术指标。随后,从脑细胞类型区分与细胞层图谱构建、神经系统相关疾病特征分析与标志物研究两个方面举例论述了空间转录物组学技术在神经科学中的应用。最后,对空间转录物组学技术目前存在的问题进行了总结,并对其未来的发展方向进行了展望。     

Applicability of discovery science approach to determine biological effects of mobile phone radiation

We argue that the use of high-throughput screening techniques, although expensive and laborious, is justified and necessary in studies that examine biological effects of mobile phone radiation. The "case of hsp27 protein" presented here suggests that even proteins with only modestly altered (by exposure to mobile phone radiation) expression and activity might have an impact on cell physiology. However, this short communication does not attempt to present the full scientific evidence that is far too large to be presented in a single article and that is being prepared for publication in three separate research articles. Examples of the experimental evidence presented here were designed to show the flow of experimental process demonstrating that the use of high-throughput screening techniques might help in rapid identification of the responding proteins. This, in turn, can help in speeding up of the process of determining whether these changes might affect human health.*     

基于新一代高通量技术的人类疾病组学研究策略

近年来,包括第二代测序技术和蛋白质谱技术等在内的新一代高通量技术越来越多的应用于解决生物学问题尤其是人类疾病的研究。这种以数据为导向,大规模、工业化的研究模式,使得从基因组水平、转录组水平、蛋白质组水平等角度对疾病展开全方位、多层次的研究成为可能。文章综述了新一代高通量技术在DNA、RNA、表观遗传、宏基因组和蛋白质组水平的人类疾病研究进展以及在转化医学领域的应用。在基因组水平上,外显子组测序是近年来持续的研究热点,随着测序成本的不断降低,全基因组重测序也越来越凸显了其在全基因组范围内检测大型结构变异的优势,并使得个人基因组引领的个体化医疗逐渐成为可能。在转录组水平,如小RNA测序技术可用来检测已知小RNA和预测新的小RNA,这些小RNA不仅可以作为疾病诊断和预后的分子标志物,在疾病治疗方面也具有无限潜力。在蛋白质组水平,如目标蛋白质组学可以有目标地测定可能与疾病相关的特定蛋白质或多肽,能够很好地应用于疾病的临床分期分型。文章进一步阐述了跨组学研究在疾病研究领域中的应用和发展趋势,借助生物信息学分析方法进行多组学整合研究,能更加系统地阐释疾病的发生及发展机理,为疾病的诊断治疗提供强有力的工具。     

Non-targeted effects of ionising radiation—Implications for low dose risk

Non-DNA targeted effects of ionising radiation, which include genomic instability, and a variety of bystander effects including abscopal effects and bystander mediated adaptive response, have raised concerns about the magnitude of low-dose radiation risk. Genomic instability, bystander effects and adaptive responses are powered by fundamental, but not clearly understood systems that maintain tissue homeostasis. Despite excellent research in this field by various groups, there are still gaps in our understanding of the likely mechanisms associated with non-DNA targeted effects, particularly with respect to systemic (human health) consequences at low and intermediate doses of ionising radiation. Other outstanding questions include links between the different non-targeted responses and the variations in response observed between individuals and cell lines, possibly a function of genetic background. Furthermore, it is still not known what the initial target and early interactions in cells are that give rise to non-targeted responses in neighbouring or descendant cells. This paper provides a commentary on the current state of the field as a result of the non-targeted effects of ionising radiation (NOTE) Integrated Project funded by the European Union. Here we critically examine the evidence for non-targeted effects, discuss apparently contradictory results and consider implications for low-dose radiation health effects.     

Setting Guidelines for Electromagnetic Exposures and Research Needs

Current limits for exposures to nonionizing electromagnetic fields (EMF) are set, based on relatively short-term exposures. Long-term exposures to weak EMF are not addressed in the current guidelines. Nevertheless, a large and growing amount of evidence indicates that long-term exposure to weak fields can affect biological systems and might have effects on human health. If they do, the public health issues could be important because of the very large fraction of the population worldwide that is exposed. We also discuss research that needs to be done to clarify questions about the effects of weak fields. In addition to the current short-term exposure guidelines, we propose an approach to how weak field exposure guidelines for long-term exposures might be set, in which the responsibility for limiting exposure is divided between the manufacturer, system operator, and individual being exposed. Bioelectromagnetics. © 2020 Bioelectromagnetics Society