T cell memory revisited using single telomere length analysis
Overview & Synopsis
The fundamental basis of T cell memory remains elusive. It is established that antigen stimulation drives clonal proliferation and differentiation, but the relationship between cellular phenotype, replicative history, and longevity, which is likely essential for durable memory, has proven difficult to elucidate. To address these issues, we used conventional markers of differentiation to identify and isolate various subsets of CD8 + memory T cells and measured telomere lengths in these phenotypically defined populations using the most sensitive technique developed to date, namely single telomere length analysis (STELA). Naive cells were excluded on the basis of dual expression of CCR7 and CD45RA. Memory subsets were sorted as CD27 + CD45RA + , CD27 int CD45RA + , CD27 − CD45RA + , CD27 + CD45RA int , CD27 − CD45RA int , CD27 + CD45RA − , and CD27 − CD45RA − at >98% purity. The shortest median telomere lengths were detected among subsets that lacked expression of CD45RA, and the longest median telomere lengths were detected among subsets that expressed CD45RA. Longer median telomere lengths were also a feature of subsets that expressed CD27 in compartments defined by the absence or presence of CD45RA. Collectively, these data suggested a disconnect between replicative history and CD8 + memory T cell differentiation, which is classically thought to be a linear process that culminates with revertant expression of CD45RA.
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Document Information
| Document Title | T cell memory revisited using single telomere length analysis |
|---|---|
| Author / Organization | Lauréline Roger, Kelly Miners, Louise Leonard, Julia Grimstead, David Price, Duncan Baird, Kristin Ladell |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-188798 |
| Original Source Link | Visit Source Page on hal.science » |