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Single-cell variability : ウィキペディア英語版
Single-cell variability

== Single-cell Variability and Analysis ==
Single-cell variability refers to differences in the properties of individual cells in an otherwise similar population. A sample of cells may appear similar, but can vary in their individual characteristics, such as shape and size, mRNA expression levels, genome, or individual counts of metabolites. In the past, the only methods available for investigating such properties required a population of cells and provided an estimate of the characteristic of interest, averaged over the population, which could obscure important differences among the cells. Single-cell analysis allows scientists to study the properties of a single cell of interest with high accuracy, revealing individual differences among populations and offering new insights in molecular biology. These individual differences are important in fields such as developmental biology, where individual cells can take on different “fates” - become specialized cells such as neurons or organ tissue - during the growth of an embryo, in cancer research, where individual malignant cells can vary in their response to therapy, or in infectious disease, where only a subset of cells in a population become infected by a pathogen.
Population-level views of cells can offer a distorted view of the data by averaging out the properties of distinct subsets of cells. For example, if half the cells of a particular group are expressing high levels of a given gene, and the rest are expressing low levels, results from a population-wide analysis may appear as if all cells are expressing a medium level of the given gene. Thus, single-cell analysis allows researchers to study biological processes in finer detail and answer questions that could not have been addressed otherwise.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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