Quantifying Colocalization by Correlation: The Pearson Correlation Coefficient is Superior to the Mander's Overlap Coefficient

Quantifying Colocalization by Correlation: The Pearson Correlation Coefficient is Superior to the Mander's Overlap Coefficient
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DOI:
10.1002/cyto.a.20896
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发表时间:
2010-08-01
期刊:
影响因子:
3.7
通讯作者:
Parmryd, Ingela
Parmryd, Ingela
中科院分区:
生物学4区
文献类型:
--
作者:
Adler, Jeremy;Parmryd, Ingela

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Pearson相关系数(PCC)和Mander重叠系数(MOC)用于量化荧光团之间的共定位程度。引入主运行中心是为了克服公众投诉委员会存在的问题。这两个系数在数学上是相似的,不同之处在于使用绝对强度(MOC)或与平均值的偏差(PCC)。一系列相关的数据集,延伸到PCC的限制,只引起了有限的反应,从MOC。PCC不受偏移变化的影响,而当偏移为正时,MOC增加。这两个系数都与增益无关。MOC是一种令人困惑的混合测量,它将相关性与重加权形式的同现相结合,有利于高强度组合,淡化其中一个或两个强度都低的组合,并忽略空白像素。PCC仅测量相关性。一个令人惊讶的发现是,添加第二个不相关的人口可以大大增加测量的相关性,证明了排除背景像素的重要性。总的来说,由于主运行中心对数据的实质性变化没有反应,而且很难解释,因此它既不是PCC的替代品,也不是PCC的有用替代品。MOC不适合于通过相关或共现来测量共定位。(C)2010年国际细胞计数促进学会
The Pearson correlation coefficient (PCC) and the Mander's overlap coefficient (MOC) are used to quantify the degree of colocalization between fluorophores. The MOC was introduced to overcome perceived problems with the PCC. The two coefficients are mathematically similar, differing in the use of either the absolute intensities (MOC) or of the deviation from the mean (PCC). A range of correlated datasets, which extend to the limits of the PCC, only evoked a limited response from the MOC. The PCC is unaffected by changes to the offset while the MOC increases when the offset is positive. Both coefficients are independent of gain. The MOC is a confusing hybrid measurement, that combines correlation with a heavily weighted form of co-occurrence, favors high intensity combinations, downplays combinations in which either or both intensities are low and ignores blank pixels. The PCC only measures correlation. A surprising finding was that the addition of a second uncorrelated population can substantially increase the measured correlation, demonstrating the importance of excluding background pixels. Overall, since the MOC is unresponsive to substantial changes in the data and is hard to interpret, it is neither an alternative to nor a useful substitute for the PCC. The MOC is not suitable for making measurements of colocalization either by correlation or co-occurrence. (C) 2010 International Society for Advancement of Cytometry