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. 2017 Mar 31;355(6332):1433-1436.
doi: 10.1126/science.aah4115.

Aging increases cell-to-cell transcriptional variability upon immune stimulation

Affiliations

Aging increases cell-to-cell transcriptional variability upon immune stimulation

Celia Pilar Martinez-Jimenez et al. Science. .

Abstract

Aging is characterized by progressive loss of physiological and cellular functions, but the molecular basis of this decline remains unclear. We explored how aging affects transcriptional dynamics using single-cell RNA sequencing of unstimulated and stimulated naïve and effector memory CD4+ T cells from young and old mice from two divergent species. In young animals, immunological activation drives a conserved transcriptomic switch, resulting in tightly controlled gene expression characterized by a strong up-regulation of a core activation program, coupled with a decrease in cell-to-cell variability. Aging perturbed the activation of this core program and increased expression heterogeneity across populations of cells in both species. These discoveries suggest that increased cell-to-cell transcriptional variability will be a hallmark feature of aging across most, if not all, mammalian tissues.

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Figures

Fig. 1
Fig. 1. Divergence in gene expression levels and cell-to-cell variability among naive CD4+ T cells isolated from two species of mice.
(A) Single cells were isolated from spleens of young (~3 month) and old (~21 month) individuals of two mouse sub-species, and sequenced before or after activation (13) ; (B) Species-specific tSNE clustering of naive CD4+ T cells from young animals; (C) Representative heatmap of 30 genes and 30 cells randomly selected from young animals from both species shows species-specific variation; (D) Violin plots show distribution of expression levels of selected, species-specifically transcribed genes (grey background).
Fig. 2
Fig. 2. Activation of naive CD4+ T cells induces a transcriptomic switch.
(A) Activation of CD4+ T cells from young B6 mice induces large-scale transcriptional changes (see S4 for CAST CD4+ T cells); (B) Genes up-regulated (red) and down-regulated (blue) by immune stimulation in young B6 mice (13); (C) Genes with no overall gene expression differences (black inset, (B)) during activation show decreased cell-to-cell variability in transcription (Mann-Whitney-Wilcoxon test, ***: p< 10 -10); (D) Up-regulated genes were expressed in a large fraction of activated CD4+ T cells after stimulation (median 36%); down-regulated genes were expressed in a smaller fraction of naive CD4+ T cells (median 18%); (E-G) Example genes showing transcriptional changes in unstimulated and activated CD4+ T cells: (E) Il2ra (Cd25); (F) Eif1; (G) Sell (Cd62l).
Fig. 3
Fig. 3. Interspecies comparison of CD4+ T cell activation.
(A) CD4+ T cells isolated from B6 (black) and CAST (gold) show similar large-scale transcriptional changes upon immune stimulation; (B) Immune activation of CD4+ T cells triggers up-regulation of conserved and species-specific transcriptional programs. For visualization purposes, genes in shared and species-specific categories were proportionately and randomly selected (Material and Methods). Thirty cells were randomly selected for each condition/species (13); (C) Only genes up-regulated in both B6 and CAST highly enrich for known T cell functionality (Bonferroni multiple testing corrected p-values, red line is 0.1); (D) Fractions of cells in which a gene is detected are displayed as histograms; 70 genes were randomly selected from each gene set.
Fig. 4
Fig. 4. Aging increases the cell-to-cell variability during early activation of CD4+ T cells.
(A) Upon activation, changes in expression of the core immune activation program are greater in younger mice than in older mice; (B) Among the genes from (A) that do not change their averaged gene expression, transcriptional variability increases during aging (13); (C) The fraction of cells in which genes of the shared activation process are expressed is reduced in CD4+ T cells from old animals. The distribution of fraction values is plotted on each corresponding axis (medians of fraction values are indicated in red); changes in fraction values were tested using a binomial test (significant changes are shaded in red or blue where multiple testing corrected p-values <0.1).

References

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