当前位置: X-MOL 学术Clin. Immunol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Dissecting alterations in human CD8+ T cells with aging by high-dimensional single cell mass cytometry.
Clinical Immunology ( IF 4.5 ) Pub Date : 2019-01-16 , DOI: 10.1016/j.clim.2019.01.005
Min Sun Shin 1 , Kristina Yim 2 , Kevin Moon 2 , Hong-Jai Park 1 , Subhasis Mohanty 1 , Joseph W Kim 1 , Ruth R Montgomery 1 , Albert C Shaw 1 , Smita Krishnaswamy 2 , Insoo Kang 1
Affiliation  

We investigated the effect of aging on the multi-dimensional characteristics and heterogeneity of human peripheral CD8+ T cells defined by the expression of a set of molecules at the single cell level using the recently developed mass cytometry or Cytometry by Time-Of-Flight (CyTOF) and computational algorithms. CD8+ T cells of young and older adults had differential expression of molecules, especially those related to cell activation and migration, permitting the clustering of young and older adults through an unbiased approach. The changes in the expression of individual molecules were collectively reflected in the altered high-dimensional profiles of CD8+ T cells in older adults as visualized by the dimensionality reduction analysis tools principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE). A combination of PhenoGraph clustering and t-SNE analysis revealed heterogeneous subsets of CD8+ T cells that altered with aging. Furthermore, intermolecular quantitative relationships in CD8+ T cells appeared to change with age as determined by the computational algorithm conditional-Density Resampled Estimate of Mutual Information (DREMI). The results of our study showed that heterogeneity, multidimensional characteristics, and intermolecular quantitative relationships in human CD8+ T cells altered with age, distinctively clustering young and older adults through an unbiased approach.

中文翻译:

通过高维单细胞大规模流式细胞术分析人CD8 + T细胞中随着年龄的增长而发生的变化。

我们研究了衰老对人类外周血CD8 + T细胞的多维特征和异质性的影响,该特征是通过使用最近开发的质量细胞计数法或飞行时间流式细胞术(CyTOF)在单细胞水平上表达一组分子来定义的)和计算算法。年轻人和老年人的CD8 + T细胞具有差异表达的分子,尤其是与细胞活化和迁移相关的分​​子,从而允许通过公正的方法使年轻人和老年人聚簇。通过降维分析工具主成分分析(PCA)和t分布随机邻居嵌入(t-SNE)可以看出,老年人中CD8 + T细胞的高维分布发生变化时,个体分子表达的变化集中反映在其中。 )。PhenoGraph聚类和t-SNE分析的组合显示CD8 + T细胞的异质子集会随着衰老而改变。此外,CD8 + T细胞中的分子间定量关系似乎随着年龄的变化而变化,这是由互信息的条件密度重采样估计(DREMI)计算算法确定的。我们的研究结果表明,人类CD8 + T细胞的异质性,多维特征和分子间定量关系会随着年龄的变化而变化,并通过无偏见的方法明显地聚集了年轻人和老年人。CD8 + T细胞中的分子间定量关系似乎随着年龄的变化而变化,这是由互信息的条件密度重采样估计(DREMI)计算算法确定的。我们的研究结果表明,人类CD8 + T细胞的异质性,多维特征和分子间定量关系会随着年龄的变化而变化,并通过无偏见的方法明显地聚集了年轻人和老年人。CD8 + T细胞中的分子间定量关系似乎随着年龄的变化而变化,这是由互信息的条件密度重采样估计(DREMI)计算算法确定的。我们的研究结果表明,人类CD8 + T细胞的异质性,多维特征和分子间定量关系会随着年龄的变化而变化,并通过无偏见的方法明显地聚集了年轻人和老年人。
更新日期:2019-01-16
down
wechat
bug