Institute of Computational Biotechnology, Graz University of Technology, Petersgasse 14(V), 8010 Graz, Austria.
Institute for Laboratory Medicine, German Heart Centre, Technical University Munich, Lazarettstraße 36, 80636 Munich, Germany.
Int J Mol Sci. 2020 Oct 29;21(21):8062. doi: 10.3390/ijms21218062.
Through various pathways of cell death, degradation, and regulated extrusion, partial or complete genomes of various origins (e.g., host cells, fetal cells, and infiltrating viruses and microbes) are continuously shed into human body fluids in the form of segmented cell-free DNA (cfDNA) molecules. While the genetic complexity of total cfDNA is vast, the development of progressively efficient extraction, high-throughput sequencing, characterization via bioinformatics procedures, and detection have resulted in increasingly accurate partitioning and profiling of cfDNA subtypes. Not surprisingly, cfDNA analysis is emerging as a powerful clinical tool in many branches of medicine. In addition, the low invasiveness of longitudinal cfDNA sampling provides unprecedented access to study temporal genomic changes in a variety of contexts. However, the genetic diversity of cfDNA is also a great source of ambiguity and poses significant experimental and analytical challenges. For example, the cfDNA population in the bloodstream is heterogeneous and also fluctuates dynamically, differs between individuals, and exhibits numerous overlapping features despite often originating from different sources and processes. Therefore, a deeper understanding of the determining variables that impact the properties of cfDNA is crucial, however, thus far, is largely lacking. In this work we review recent and historical research on active vs. passive release mechanisms and estimate the significance and extent of their contribution to the composition of cfDNA.
通过各种细胞死亡、降解和调控外排途径,各种来源的部分或完整基因组(例如,宿主细胞、胎儿细胞以及浸润的病毒和微生物)以分段的无细胞 DNA(cfDNA)分子的形式不断被释放到人体体液中。虽然总 cfDNA 的遗传复杂性非常大,但随着提取、高通量测序、通过生物信息学程序进行特征描述等方面的技术不断进步,cfDNA 亚型的逐渐准确划分和分析成为可能。毫不奇怪,cfDNA 分析正在成为医学许多领域的有力临床工具。此外,纵向 cfDNA 采样的非侵入性为在各种情况下研究时间基因组变化提供了前所未有的机会。然而,cfDNA 的遗传多样性也是一个很大的模糊来源,并带来了重大的实验和分析挑战。例如,血液中 cfDNA 群体是异质的,并且动态波动,个体之间存在差异,尽管它们通常来自不同的来源和过程,但具有许多重叠的特征。因此,深入了解影响 cfDNA 特性的决定因素至关重要,但到目前为止,这方面的研究还很缺乏。在这项工作中,我们回顾了关于主动释放和被动释放机制的最新和历史研究,并估计了它们对 cfDNA 组成的意义和程度。