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系统发育命运图谱:应用于小鼠成纤维细胞发育的理论与实验研究

Phylogenetic fate mapping: theoretical and experimental studies applied to the development of mouse fibroblasts.

作者信息

Salipante Stephen J, Thompson James M, Horwitz Marshall S

机构信息

Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.

出版信息

Genetics. 2008 Feb;178(2):967-77. doi: 10.1534/genetics.107.081018. Epub 2008 Feb 3.

Abstract

Mutations are an inevitable consequence of cell division. Similarly to how DNA sequence differences allow inferring evolutionary relationships between organisms, we and others have recently demonstrated how somatic mutations may be exploited for phylogenetically reconstructing lineages of individual cells during development in multicellular organisms. However, a problem with such "phylogenetic fate maps" is that they cannot be verified experimentally; distinguishing actual lineages within clonal populations requires direct observation of cell growth, as was used to construct the fate map of Caenorhabditis elegans, but is not possible in higher organisms. Here we employ computer simulation of mitotic cell division to determine how factors such as the quantity of cells, mutation rate, and the number of examined marker sequences contribute to fidelity of phylogenetic fate maps and to explore statistical methods for assessing accuracy. To experimentally evaluate these factors, as well as for the purpose of investigating the developmental origins of connective tissue, we have produced a lineage map of fibroblasts harvested from various organs of an adult mouse. Statistical analysis demonstrates that the inferred relationships between cells in the phylogenetic fate map reflect biological information regarding the origin of fibroblasts and is suggestive of cell migration during mesenchymal development.

摘要

突变是细胞分裂不可避免的结果。与DNA序列差异可用于推断生物体之间的进化关系类似,我们和其他研究人员最近证明了体细胞突变可用于在多细胞生物发育过程中对单个细胞谱系进行系统发育重建。然而,这种“系统发育命运图谱”存在一个问题,即它们无法通过实验验证;区分克隆群体中的实际谱系需要直接观察细胞生长,就像构建秀丽隐杆线虫命运图谱时那样,但在高等生物中这是不可能的。在这里,我们利用有丝分裂细胞分裂的计算机模拟来确定细胞数量、突变率和所检测标记序列数量等因素如何影响系统发育命运图谱的准确性,并探索评估准确性的统计方法。为了通过实验评估这些因素,以及为了研究结缔组织的发育起源,我们绘制了从小鼠各个器官收集的成纤维细胞的谱系图谱。统计分析表明,系统发育命运图谱中推断的细胞间关系反映了有关成纤维细胞起源的生物学信息,并暗示了间充质发育过程中的细胞迁移。

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