白血病的多维形态学和分子景观熵
Entropy of leukemia on multidimensional morphological and molecular landscapes
摘要：
白血病是一类高度复杂的疾病的缩影，新技术旨在通过使用大量单细胞水平的信息来解决这些问题。实现这一目标不仅依赖于实验技术，而且依赖于解释数据的方法。一个最紧迫的问题是从由此产生的大量信息中确定疾病的显著定量特征。在这里，我表明，特定的多维分子和形态景观的细胞群体分布的熵提供了一套措施的正常和病理状态，如对应于健康个体和急性髓性白血病（AML）患者的精确表征。我提供了一个系统的程序来识别特定的景观，并说明如何应用于外周血和骨髓穿刺液的细胞样本，这种表征准确地诊断AML从流式细胞术数据。该方法通常可以应用于其他类型的细胞群，并建立了传统的统计热力学方法和生物医学应用之间的直接联系。
英文摘要：
Leukemia epitomizes the class of highly complex diseases that new technologies aim to tackle by using large sets of single-cell level information. Achieving such goal depends critically not only on experimental techniques but also on approaches to interpret the data. A most pressing issue is to identify the salient quantitative features of the disease from the resulting massive amounts of information. Here, I show that the entropies of cell-population distributions on specific multidimensional molecular and morphological landscapes provide a set of measures for the precise characterization of normal and pathological states, such as those corresponding to healthy individuals and acute myeloid leukemia (AML) patients. I provide a systematic procedure to identify the specific landscapes and illustrate how, applied to cell samples from peripheral blood and bone marrow aspirates, this characterization accurately diagnoses AML from just flow cytometry data. The methodology can generally be applied to other types of cell-populations and establishes a straightforward link between the traditional statistical thermodynamics methodology and biomedical applications.
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