Evaluating cellular polyfunctionality with a novel polyfunctionality index.
Evaluating cellular polyfunctionality with a novel polyfunctionality index.
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DOI：
10.1371/journal.pone.0042403
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Gorochov G
中科院分区：
文献类型：
--
作者：
Larsen M;Sauce D;Arnaud L;Fastenackels S;Appay V;Gorochov G
近年来，对小鼠、男性和猴子中自然发生的或疫苗诱导的 T 细胞反应的功能评估已从单参数（例如 IFN-γ 分泌）发展到更加复杂的多维测量。主要由于多参数流式细胞术的重大进展，现在可以在单细胞水平上测量多种功能分子（例如细胞因子和趋化因子）的共同分泌。该技术生成的非常广泛和复杂的数据集提出了对适当分析工具的需求，这些工具能够分析 T 细胞的组合功能特性，从而实现多功能性。目前，通过单独评估参数的所有组合或通过对包括相同数量的同时函数的组合的频率求和来分析多维功能测量。通常这些评估被可视化为饼图。虽然饼图有效地表示和比较了特定 T 细胞亚群或患者组的平均多功能性概况，但它们没有记录组内多功能性的程度或变化，也不允许进行更复杂的统计分析。在这里，我们提出了一种新颖的多功能性指数，该指数可以对多功能性的程度和变化进行数值评估，并能够进行比较和相关的参数和非参数统计测试。此外，它允许使用更先进的统计方法，例如聚类分析。我们相信，多功能性指数将使多功能性成为未来 T 细胞反应性研究中适当的终点指标。
Functional evaluation of naturally occurring or vaccination-induced T cell responses in mice, men and monkeys has in recent years advanced from single-parameter (e.g. IFN-γ-secretion) to much more complex multidimensional measurements. Co-secretion of multiple functional molecules (such as cytokines and chemokines) at the single-cell level is now measurable due primarily to major advances in multiparametric flow cytometry. The very extensive and complex datasets generated by this technology raise the demand for proper analytical tools that enable the analysis of combinatorial functional properties of T cells, hence polyfunctionality. Presently, multidimensional functional measures are analysed either by evaluating all combinations of parameters individually or by summing frequencies of combinations that include the same number of simultaneous functions. Often these evaluations are visualized as pie charts. Whereas pie charts effectively represent and compare average polyfunctionality profiles of particular T cell subsets or patient groups, they do not document the degree or variation of polyfunctionality within a group nor does it allow more sophisticated statistical analysis. Here we propose a novel polyfunctionality index that numerically evaluates the degree and variation of polyfuntionality, and enable comparative and correlative parametric and non-parametric statistical tests. Moreover, it allows the usage of more advanced statistical approaches, such as cluster analysis. We believe that the polyfunctionality index will render polyfunctionality an appropriate end-point measure in future studies of T cell responsiveness.
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DOI：
10.1084/jem.20070784
发表时间：
2007-10-01
期刊：
The Journal of experimental medicine
影响因子：
--
作者：
Almeida JR;Price DA;Papagno L;Arkoub ZA;Sauce D;Bornstein E;Asher TE;Samri A;Schnuriger A;Theodorou I;Costagliola D;Rouzioux C;Agut H;Marcelin AG;Douek D;Autran B;Appay V
通讯作者：
Appay V
DOI：
10.1097/qai.0b013e318224d2e9
发表时间：
2011-10-01
影响因子：
3.6
作者：
Akinsiku, Olusimidele T.;Bansal, Anju;Goepfert, Paul A.
通讯作者：
Goepfert, Paul A.
影响因子：
4.4
作者：
Lindstedt, M;Schiött, Å;Borrebaeck, CAK
通讯作者：
Borrebaeck, CAK
影响因子：
8.8
作者：
Gasser, O.;Bihl, F.;Brander, C.
通讯作者：
Brander, C.
影响因子：
20.3
作者：
Betts, Michael R.;Nason, Martha C.;Koup, Richard A.
通讯作者：
Koup, Richard A.