Differentiated somatic mammalian cells putatively exhibit species-specific division limits that impede cancer but may constrain lifespans1,2,3. To provide immunity, transiently stimulated CD8+ T cells undergo unusually rapid bursts of numerous cell divisions, and then form quiescent long-lived memory cells that remain poised to reproliferate following subsequent immunological challenges. Here we addressed whether T cells are intrinsically constrained by chronological or cell-division limits. We activated mouse T cells in vivo using acute heterologous prime–boost–boost vaccinations4, transferred expanded cells to new mice, and then repeated this process iteratively. Over 10 years (greatly exceeding the mouse lifespan)5 and 51 successive immunizations, T cells remained competent to respond to vaccination. Cells required sufficient rest between stimulation events. Despite demonstrating the potential to expand the starting population at least 1040-fold, cells did not show loss of proliferation control and results were not due to contamination with young cells. Persistent stimulation by chronic infections or cancer can cause T cell proliferative senescence, functional exhaustion and death6. We found that although iterative acute stimulations also induced sustained expression and epigenetic remodelling of common exhaustion markers (including PD1, which is also known as PDCD1, and TOX) in the cells, they could still proliferate, execute antimicrobial functions and form quiescent memory cells. These observations provide a model to better understand memory cell differentiation, exhaustion, cancer and ageing, and show that functionally competent T cells can retain the potential for extraordinary population expansion and longevity well beyond their organismal lifespan.
The extent to which somatic mammalian cells can proliferate has been debated. Early reports that fetal chicken heart cells could grow in vitro for decades indicated that although organisms age, cells were immortal7,8. This sensationalistic experiment was not reproducible and attributed to cell transformation or continuous introduction of fresh cells9. The authors of ref. 10 putatively rejected diploid somatic cell immortality, reporting a division counter limiting human cells to 50–60 divisions. This is referred to as a ‘Hayflick limit’ and was ascribed to telomere shortening3,11, proposed to reduce cancer but impose lifespan constraints, and species-specific in vitro cell division limits have been correlated with longevity (mouse cells undergoing fewer divisions and tortoise cells undergoing more)2,12,13. Species-specific lifespan limits may be intrinsic to other fundamental biological processes, including replication-dependent DNA mutations. For example, mice accumulate a similar number of DNA mutations per cell over their 3-year lifespan to that of humans over their 80-year lifespan, perhaps revealing a conserved lifespan-defining boundary14. Other impediments to cell longevity or proliferative potential include loss of proteostasis and metabolic fitness.
CD8+ T lymphocytes can sustain quiescence for years, yet engage in a differentiation programme within minutes of activation, followed by accumulation of an unusual number of rapid cell divisions. Primary activated cells undergo a programmed burst of about 15–20 cell divisions, with the capacity for at least 3 cell divisions per day15. This results in massive clonal expansion and is the basis for the specificity and memory that typifies adaptive immunity. Whether cumulative T cell division potential is intrinsically finite or unlimited is relevant to control of chronic or recurring infections, cancer, vaccine boosting, age-associated immunologic senescence and adoptive cell therapies, as well as fundamental questions regarding mammalian cell biology.
Since the 1970s, there have been reports that T cells could occasionally be sustained in culture16,17, although it has been debated whether this was the result of transformation18, and the relevance of in vitro proliferation limits to organismal biology has been questioned19,20. Early attempts to grow anticancer T cells in vitro resulted in massive populations, but they survived poorly on transfer to patients21,22,23. This has been attributed to a lack of durable ‘stemness’ by T cells24,25. Antigen-experienced T cells that retain the ability to give rise to heterogenous daughter cells have been referred to as stem-like and provide more durable and expansible engraftment on transfer26. ‘Memory stem cells’ are typically described as sharing markers with naive T cells, including CD62L, although the property of unlimited division potential has not been tested27. Indeed, endogenous T cells responding to chronic infections or cancer undergo progressive in vivo ‘exhaustion’, defined by impaired proliferative ability, loss of potential to express effector cytokines and failure to eliminate immune targets6. When resting memory T cells have been serially passaged and stimulated with transient infections in vivo, they failed to respond to further stimulation within 4–7 generations4,28,29. These data support a model in which T cells have an intrinsic limit to their proliferation capacity, whether the antigen stimulation is chronic or periodic; however, this result may have depended on specific experimental conditions30.
Proliferation and longevity potential
We wished to test whether: senescence, exhaustion and death are inevitable consequences of cumulative stimulations, divisions or species lifespan constraints; or T cells have the intrinsic potential to expand indefinitely. We designed an experiment that could isolate the potentially different effects of chronic versus cumulative stimulation, supersede species lifespan limits and permit iteratively potent CD8+ T cell boosts by overcoming neutralizing antibody interference and competition for antigen by abundant memory T cell populations. CD45.1+ C57Bl/6 female mice were immunized with three heterologous prime–boost immunizations (vesicular stomatitis virus subtype New Jersey (VSVnj); vaccinia virus expressing the VSV Indiana (VSVind) nucleoprotein (VVn); and VSVind (see Methods)) at ≥60-day intervals, which results in an abundantly expanded and long-lived 3° memory CD8+ T cell population specific for the ‘N52–59’ peptide of VSV30. H-2Kb/N52–59 major histocompatibility complex I tetramer+CD8+ T cells were then sorted from spleen and lymph nodes and 1 × 105 were transferred to congenic CD45.2 recipients, which subsequently received three additional immunizations (4° VSVind, 5° VVn and 6° VSVnj) at ≥60-day intervals. Although C57Bl/6 female mice survive only up to about 1,100 days5, we were able to continue this sorting–transfer–three-immunization process for about 10 years totalling 51 cumulative immunization events because the CD45.1+ population never lost the ability to expand following immunization (Fig. 1a). These cells also populated nonlymphoid tissues (Extended Data Fig. 1). These data showed that T cell expansion potential is not limited by the age of the origin population or the number of stimulation events.
We then tested whether an interval of ≥60 days was required between boosts31. Vaccinations, cell sorting and transfers were carried out as in Fig. 1a, except with 28–34 days between each immunization. We observed no substantive loss of continued expansibility through 51 stimulations (Fig. 1b). However, boosting every 7 days resulted in rapid deterioration of expansion potential (Fig. 1c). Collectively, these data indicate that although iterative stimulation can result in senescence or death among T cells, this fate is not a biological imperative.
Cell cycle integrity
It has been proposed that cell proliferation is accompanied by telomere shortening that induces cellular senescence, prevents cancer and limits lifespan. Some have questioned this paradigm19,32,33, and many dividing cells, including activated T cells, express telomerase34,35,36. As we observed >50 bursts of substantial proliferation among a T cell population that has outlived its species, we examined telomere length by quantitative PCR37. Telomere length was maintained (Fig. 2a). Iterative transfers would seemingly select for cancer cells that outgrow untransformed cells. We loaded iteratively stimulated T cells (ISTCs) with a cell-tracking dye, and then transferred them to mice without subsequent stimulation. Thirty-four days later, we found no evidence that ISTCs lost growth control; indeed, they underwent less homeostatic turnover than primary memory cells (Fig. 2b). Moreover, although the ISTC population was durable, it was not inflationary (Fig. 2c). Thus, memory T cells can accumulate many divisions over many years without malignant transformation or loss of durability.
Early claims of immortal propagation of untransformed cells were later attributed to continuous seeding with young cells9. We addressed this possibility by sorting ISTCs before every transfer on a genetically encoded marker combination unique to the primary immunized mouse (CD45.1+CD45.2−; Fig. 1a). Furthermore, boosting was associated with progressive changes in gene expression, ruling out contamination with a dominant young T cell population (Fig. 3a and Extended Data Fig. 2). Changes were also observed at the protein level. ISTCs did not resemble phenotypes associated with central or stem memory T cells that preponderate primary immune responses as they lacked CD62L and expressed the ‘senescence marker’ KLRG1 (Fig. 3b). Moreover, each generation progressively acquired molecules thought to define T cell exhaustion, including PD1, TIM3 (also known as HAVCR2) and TOX (Fig. 3c).
Maintenance of immunological functions
PD1 is expressed in response to recent T cell receptor stimulation and is maintained by chronic antigen stimulation38. As antigen is not known to persist after this vaccination regimen, we tested whether PD1 expression was epigenetically maintained after iterative acute boosts. When ISTCs rested in recipient mice for >300 days after a single boost, they still maintained PD1 whereas endogenous primary memory CD8+ T cells specific for the same antigen within the same mouse lacked PD1 (Fig. 4a). We also observed that CpG dinucleotides within the Pdcd1 locus had become demethylated and that chromatin had become accessible (Fig. 4b,c). These data indicated that ISTCs phenocopied exhausted T cells exposed to chronic antigen, but the underlying regulation may be different. RNA sequencing (RNA-seq) and flow cytometric analyses revealed that ISTCs only partly acquire the exhaustion programme described for chronic viral infection in mice (Fig. 4d,e). ISTCs differed from exhausted T cells because they maintained the capacity to proliferate in response to antigen (Fig. 1). Indeed, when we transferred CellTrace Violet-labelled 3° and 48° ISTCs, a similar proportion of cells underwent ≥8 divisions following a single additional boost (Fig. 4f). Moreover, ISTCs did not lose the ability to produce interferon-γ (IFNγ) and substantial tumour necrosis factor (TNF) effector cytokines within 4–5 h of ex vivo peptide stimulation (Fig. 4g), nor were they diminished in the ability to control a microbial infection (Fig. 4h).
These data demonstrate that T cells intrinsically have the capacity for seemingly unlimited population expansion and substantially outliving their host organism. Whether other somatic cells also exhibit this potential is unknown. Unexpectedly, we failed to capture ISTCs that detectably lost proliferation control, raising questions of whether antigen-experienced T cells are particularly poised to trigger cell death in response to pre-transformation events. This biology may accommodate the unusual lifestyle of T cells, characterized by long periods of quiescence punctuated by rapid bursts of extensive proliferation, and then programmed death of most of the expanded population. Perhaps ISTCs could help inform the biology of protection from cancer as well as maintaining cellular fitness far beyond the perceived constraints of time and experience.
Nevertheless, ISTCs changed epigenetically, transcriptionally and phenotypically with time and stimulation history. They lost canonical markers associated with memory T cell ‘stemness’27 and acquired markers associated with T cell exhaustion and dysfunction6 (Fig. 3). Although they do not seem to expand equivalently to naive or central memory T cells on a per cell basis (Fig. 1a), progressive phenotypic changes in ISTCs were not parallelled by any detectable cumulative erosion in abilities to proliferate or form durable memory over the final 48 boosts (Fig. 2c). Our results do not reject the concept of T cell stemness, but dissociate self-renewing potential from markers previously associated with the ability to maintain longevity and proliferative fitness. ISTCs also dissociate exhaustion, as defined by proliferative ability, function and antigen-independent longevity, from phenotypes common to exhausted cells characterized in chronic infection or cancer. Functional PD1+ T cells have also been observed in humans, and these may represent cells that have undergone iterative stimulation through heterosubtypic reinfections or pathogen recrudescence39,40.
T cell senescence, exhaustion or death is frequently observed in settings of chronic stimulation, extremes of age and certain models of iterative stimulation punctuated by intervening rest4,6,28,29,30,41. Our results indicate that these fates are avoidable. Indeed, because ISTCs were diluted before every three boosts, a conservative estimate indicates that, on average, each of the approximately 200 H-2Kb/N52–59-specific naive CD8+ T cells present within unimmunized mice had the proliferative potential to give rise to more than 1041 51° resting memory CD8+ T cells (Extended Data Fig. 3), with a total cell volume of more than 30,000 times that of planet Earth. ISTCs provide a model to dissect the parameters that permit everlasting proliferative capacity and longevity among T cells, as well as the broader underlying biological mechanisms of maintaining fitness.
Donor female B6.SJL-PtprcaPepcb/BoyJ (CD45.1+ B6) and P14 CD8+ T cell transgenic mice were bred at the University of Minnesota animal facilities. Female C57BL/6J (CD45.2+ B6) mice were purchased from Jackson Laboratories and served as recipient mice, which were 8–10 weeks old at the time of first infection. Animals were housed with cycles of 14 h of light and 10 h of dark. Their environment was maintained at temperatures between 68 and 72 °F and humidity levels of 30–70%. Animals were treated according to the Institutional Animal Care and Use Committee guidelines and the protocols were approved by the Institutional Animal Care and Use Committee at the University of Minnesota.
CD45.1+ tertiary memory cells were expanded through heterologous prime–boost–boost infection with 106 plaque-forming units (p.f.u.) VSVnj, an experiment-specific period of rest, 2 × 106 p.f.u. VVn, an experiment-specific period of rest, and 107 p.f.u. of VSVind. Following transfer to recipient CD45.2+ mice, cells were expanded through heterologous prime–boost–boost infection with 106 p.f.u. of VSVind, an experiment-specific period of rest, 2 × 106 p.f.u. VVn, an experiment-specific period of rest, and 107 p.f.u. VSVnj. All heterologous prime–boost–boost infections were delivered through the tail vein. For LCMV Armstrong infections, 2 × 105 p.f.u. was delivered through an intraperitoneal injection. For LCMV clone 13, mice were given 200 μg of anti-mouse CD4 (GK1.5) from BioXCell through an intraperitoneal injection one day before and one day after an infection through the tail vein with 2 × 106 p.f.u. of virus.
Tracking of ISTCs
At various time points post infections, blood was collected from the submandibular vein. Red blood cells were lysed using ACK lysis buffer, and blood cells were stained with a variety of antibodies that always included anti-mouse CD8a (53-6.7; 1:100) from BD Biosciences, anti-mouse CD44 (IM7; 1:200) from BioLegend, anti-mouse CD45.1 (A20; 1:400), Ghost Dye Red 780 (1:1,000) from Tonbo Biosciences, and major histocompatibility complex I tetramer with the H2Kb-binding RGYVYQGL peptide from VSVind nucleoprotein (N-tetramer; 1:200). Major histocompatibility complex tetramers were prepared as previously described43. Flow cytometry data were collected on a BD LSR II, BD Fortessa or Cytek Aurora and analysed using BD FlowJo. After a cell transfer, values for ISTCs were calculated on the basis of the number of cells transferred and 10% survival whereas values for endogenous cells were based on the reported number of naive H2Kb/RGYVYQGL-binding cells in B6 mice44.
Fluorescence-activated cell sorting and cell transfers
A single-cell suspension was prepared from the spleen and macroscopic lymph nodes of donor mice. In some cases, red blood cells were lysed with ACK lysis buffer before the samples were stained with surface antibodies. In other cases, CD8+ T cells were enriched through negative selection before they were stained with surface antibodies. CD8+ T cell enrichment was carried out using the Stem Cell EasySep Mouse CD8+ T Cell Isolation Kit following the manufacturer’s instructions or using a prepared cocktail of biotinylated antibodies. Briefly, single-cell suspensions were resuspended at 108 cells per millilitre in phosphate-buffered saline (Gibco) supplemented with 2% heat-inactivated fetal bovine serum (Peak Serum) and 1 mM EDTA (Promega) and then incubated with 5% rat serum (Stem Cell) and 0.0275 mg ml−1 anti-mouse CD4 (GK1.5) from Invitrogen and anti-mouse CD19 (1D3), anti-mouse CD11b (M1/70), anti-mouse NK1.1 (PK136), anti-mouse F4/80 (BM8.1), anti-mouse TER119, anti-mouse CD45R (RA3-6B2), anti-mouse LY6G (GR1) and anti-mouse CD16/32 (2.4G2) from Tonbo Biosciences. All antibodies were conjugated to biotin. After antibody incubation, antibody-bound cells were removed using the Stem Cell EasySep Mouse Streptavidin RaphidSpheres Isolation kit following the manufacturer’s instructions. Cells were then stained with anti-mouse CD8a (53-6.7; 1:200) from BD Biosciences, anti-mouse CD45.1 (A20; 1:200), anti-mouse CD45.2 (104; 1:200), N-tetramer (1:200) and Ghost Dye Red 780 (1:1,000) from Tonbo Biosciences. Live CD8a+VSV-N-tetramer+CD45.1+CD45.2− cells were sorted on a BD FACS Aria II, and 105 sorted cells were transferred through the tail vein into recipient mice. Infections resumed the following day.
Quantitative-PCR-based measurement of mouse telomere length
Telomere length was measured using quantitative PCR, including the primers (synthesized by Integrated DNA Technologies) and control gene as described previously37. Data were collected using the QuantStudio 5 system (Applied Biosystems). Isolated M. spretus DNA was purchased from Jackson Laboratories to serve as a source of mouse DNA with relatively short telomeres.
CellTrace Violet labelling of cells
The cells of a single-cell suspension of cells isolated from the spleen and macroscopic lymph nodes were labelled with CellTrace Violet (Invitrogen) following the manufacturer’s instructions. CellTrace Violet-labelled cells were transferred into mice through the tail vein.
Bulk RNA was isolated from 105 sorted cells using the Qiagen RNeasy Plus Micro kit following the manufacturer’s instructions. Libraries were prepared using the Takara/Clontech Stranded Total RNA-seq pico input mammalian kit. Naive, 1°, 3° and 27° cells were prepared using kit version 1 and all other samples were prepared used kit version 2. Samples prepared with kit version 1 were sequenced on an Illumina HiSeq; samples prepared with kit version 2 were sequenced on the Illumina NovaSeq 6000. Quality of fastq files was assessed with FastQC. Adapters and low-quality segments were trimmed with Trimmomatic. Filtered reads were aligned to the mouse genome GRCm38 using Hisat2 and the count matrix was generated using featureCounts. All subsequent gene expression data analyses were carried out in the R software. Genes expressed at low levels were filtered using the filterByExpr function and TMM-normalized in edgeR. Differentially expressed genes were determined using limma. The RNA-seq samples were sequenced in two batches. Genes were considered significantly different if log[fold change] > 1 and false discovery rate < 0.05. Heatmaps were generated with the ComplexHeatmap package. We noticed a batch effect between the first and the second run of RNA-seq samples. However, differential gene expression analysis between the two naive groups revealed only few differentially expressed genes, most being undefined genes or ribosomal genes, indicating that the observed batch effect is not confounding our analysis.
Cell phenotyping through flow cytometry
Phenotyping was carried out on either blood cells or splenocytes that were treated with ACK lysis buffer. Cells were stained extracellularly with various combinations of: anti-mouse CD8a (53-6.7; 1:100), anti-mouse CD4 (GK1.5; 1:1,000), anti-mouse CD45.1 (A20; 1:400), anti-mouse CD122 (TM-β1; 1:100), anti-mouse CD62L (MEL-14; 1:800) and anti-mouse KLRG1 (2F1; 1:200) from BD Biosciences, anti-mouse CD44 (IM7; 1:200), anti-mouse CD38 (90; 1:100), anti-mouse CD45.1 (A20; 1:400), anti-mouse CD28 (E18; 1:100), anti-mouse PD1 (RMP1-30; 1:100), anti-mouse CD200R (OX-110; 1:50) and anti-mouse TIM3 (RMT3-23; 1:100) from BioLegend, anti-mouse CD45.1 (A20; 1:400), anti-mouse CD127 (A7R34) (1:100), anti-mouse CD45.2 (104; 1:200) and Ghost Dye Red 780 (1:1,000) from Tonbo Biosciences and either N-tetramer or the H2Db-binding KAVYNFATM peptide from lymphocytic choriomeningitis virus (GP33-tetramer), fixed and permeabilized using Tonbo Foxp3/Transcription Factor Staining Kit, and then stained intracellularly in Tonbo Permeabilization buffer with anti-mouse TOX (TXRX10; 1:50), and anti-mouse EOMES (Dan11mag; 1:50) from Invitrogen, anti-mouse BCL-2 (10C4; 1:50) from eBioscience, and anti-mouse TCF1/TCF7 (C63D9; 1:50) from Cell Signaling Technology. Flow cytometry data were collected on either a BD Fortessa or Cytek Aurora and analysed with BD FlowJo.
ATAC-seq was carried out following a previously described protocol45. Library preparation on transposed DNA was carried out with a Nextera DNA library preparation kit following the manufacturer’s instructions. Samples were sequenced on an Illumina HiSeq. FastQC was used to assess the quality of fastq files. Reads were aligned to the mouse Genome (UCSC version mm10) using bowtie2 with valid alignment per read and allowed numbers of mismatches set to 1. Samtools was used to generate sorted bam files that contain mapped reads alone, and Picard was used to mark duplicates. All subsequent data analyses were carried out in the R software. Blacklist regions and mitochondrial reads were removed before peak regions were called with csaw using a window width of 200 base pairs. Windows were considered enriched over background if the log2[fold change] was >3. As biological sample groups strongly differed in the enrichment of reads within accessible chromatin over background, log[c.p.m.] TMM-scaled peak counts were quantile-normalized as previously described46. Differential accessibility analysis was carried out with limma, and peak regions were subsequently merged with a maximum distance between adjacent windows of 200 base pairs. Genomic regions were plotted using Gviz.
PD1 methylation analysis
Genomic DNA was isolated from the purified cells and subjected to bisulfite treatment using the Zymo EZ DNA methylation kit as per the manufacturer’s instructions. Bisulfite-modified DNA was PCR-amplified using PD1 promoter-specific primers47. The amplicon was cloned into TA vector and transformed into bacteria. Vector from individual colonies was sequenced and analysed using the BISMA software (Bremen, Germany), as previously described47.
In vitro cytokine stimulation
Blood cells were collected from the submandibular vein, red blood cells were lysed using ACK lysis buffer, and cells were resuspended in RPMI supplemented with 5% heat-inactivated fetal bovine serum, 2 mM l-glutamine, 100 U ml−1 penicillin–streptomycin and 0.05 mM β-mercaptoethanol. Cells were added to the wells of a 96-well plate and medium containing brefeldin A from Tonbo Biosciences and various concentrations of RGYVYQGL VSV-N peptide synthesized by New England Peptide Inc (now named Vivitide) to yield a final concentration of 3 μM brefeldin A and labelled concentrations of peptide. After 4–5 h, cells were stained extracellularly with anti-mouse CD8a (53-6.7; 1:100) from BD Biosciences, anti-mouse CD45.1 (A20; 1:400), anti-mouse CD45.2 (104; 1:400) and Ghost Dye Red 780 (1:1,000) from Tonbo Biosciences and N-tetramer (1:200), fixed and permeabilized using Tonbo Foxp3/Transcription Factor Staining Kit, and then stained intracellularly in Tonbo Permeabilization buffer with TNF (MP6-XT22; 1:100) from BD Biosciences and IFNγ (XMG1.2; 1:100) from BioLegend. Flow cytometry data were collected on a BD Fortessa and analysed with BD FlowJo software.
One day after transfer of 105 specified sorted N-specific cells, mice were injected through the tail vein with 7 × 103 colony-forming units of L. monocytogenes expressing VSV-N (LM-N). Five days after LM-N infection, spleens were removed and cells were lysed through homogenization in sterile 0.5% Igepal CA-630 (Sigma Aldrich). Various dilutions of cell homogenate were plated onto Petri dishes with BBL Brain Heart Infusion Agar (BD Biosciences) prepared according to the manufacturer’s instructions, incubated at 37 °C overnight and colonies were counted the next day.
Non-lymphoid tissue analysis
Non-lymphoid tissues were treated as previously described48, including the use of 3 μg of an intravascular anti-CD8a antibody (53-6.7) from BD Biosciences as previously described49 to prepare a single-cell suspension. Single-cell suspensions from each tissue were stained extracellularly with anti-mouse CD8a (53-6; 1:00) from BD Biosciences, anti-mouse CD45.1 (A20; 1:200) and Ghost Dye Red 780 (1:1,000) from Tonbo Biosciences, anti-mouse CD69 (H1.2F3; 1:50) from Invitrogen and N-tetramer (1:200). Flow cytometry data were collected on a BD Fortessa and analysed with BD FlowJo software.
Cells that were tracked over time were measured repeatedly after different infections with discreet measurements made on populations of cells within different mice.
No statistical test was used to determine sample sizes. Mice were randomly assigned to different experimental groups. Researchers were not blinded to experimental groups. Specific statistical tests used to determine significance, group sizes (n) and P values are provided in the figure legends. P value < 0.05, significant. All statistical analysis was carried out using Prism (GraphPad).
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
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We thank members of the laboratories of D.M. and V.V. for helpful discussions. We thank the University of Minnesota Flow Cytometry resource for cell sorting (J. Motl, T. Martin and R. Arora). This study was supported by National Institutes of Health grants R01 AI084913, R01 AI146032 (D.M.) and T32HL007741 (A.G.S.), and Swiss National Science Foundation grant P2BSP3_200187 (M.K.).
The authors declare no competing interests.
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Extended data figures and tables
a) CD45.1+ 48° ISTC memory CD8 T cells were transferred to naïve mice, followed by three heterologous prime-boost-boost immunizations. Non-lymphoid tissues were analyzed 48 days after the 51° boost. Flow cytometry plots are gated on live CD8a+ lymphocytes that were not stained by intravascular in vivo antibody labeling. b) CD69 expression on endogenous 3° cells (CD45.1-) and 48° memory CD8 T cells (CD45.1+).Plots concatenated from four mice and experiment is representative of three similar experiments with similar results.
Gene set enrichment analysis was performed on differentially expressed genes between 45° ISTCs and primary memory cells using the category “Biological process” of the Gene Ontology database. The top 20 upregulated (activated) and top 20 downregulated (suppressed) pathways in ISTCs are shown. Statistical significance was determined using Over-Representation analysis.
Extended Data Fig. 3 A single naïve CD8 T cell shows the potential to produce >1040 memory cell progeny.
a) Schematic showing estimate of cell expansion potential after 51 HPBB immunizations. HPBB: three successive Heterologous Prime, Boost, Boost immunizations. b) Schematic comparing the volume of earth with the theoretical volume of memory T cells implied by the calculated proliferation potential of a naïve CD8 T cell.
This file lists the differentially expressed genes between 45° cells and 3° cells, 1° or naive CD8+ T cells. Empirical Bayes moderation was used to test for significance.
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Soerens, A.G., Künzli, M., Quarnstrom, C.F. et al. Functional T cells are capable of supernumerary cell division and longevity. Nature (2023). https://doi.org/10.1038/s41586-022-05626-9