The current state and future of T-cell exhaustion research.
Edward JenkinsToby WhiteheadMartin FellermeyerSimon J DavisSumana SharmaPublished in: Oxford open immunology (2023)
'Exhaustion' is a term used to describe a state of native and redirected T-cell hypo-responsiveness resulting from persistent antigen exposure during chronic viral infections or cancer. Although a well-established phenotype across mice and humans, exhaustion at the molecular level remains poorly defined and inconsistent across the literature. This is, in part, due to an overreliance on surface receptors to define these cells and explain exhaustive behaviours, an incomplete understanding of how exhaustion arises, and a lack of clarity over whether exhaustion is the same across contexts, e.g. chronic viral infections versus cancer. With the development of systems-based genetic approaches such as single-cell RNA-seq and CRISPR screens applied to in vivo data, we are moving closer to a consensus view of exhaustion, although understanding how it arises remains challenging given the difficulty in manipulating the in vivo setting. Accordingly, producing and studying exhausted T-cells ex vivo are burgeoning, allowing experiments to be conducted at scale up and with high throughput. Here, we first review what is currently known about T-cell exhaustion and how it's being studied. We then discuss how improvements in their method of isolation/production and examining the impact of different microenvironmental signals and cell interactions have now become an active area of research. Finally, we discuss what the future holds for the analysis of this physiological condition and, given the diversity of ways in which exhausted cells are now being generated, propose the adoption of a unified approach to clearly defining exhaustion using a set of metabolic-, epigenetic-, transcriptional-, and activation-based phenotypic markers, that we call 'M.E.T.A'.
Keyphrases
- single cell
- rna seq
- high throughput
- induced apoptosis
- gene expression
- genome wide
- sars cov
- papillary thyroid
- systematic review
- dna methylation
- cell cycle arrest
- squamous cell carcinoma
- electronic health record
- crispr cas
- cell proliferation
- skeletal muscle
- copy number
- transcription factor
- genome editing
- signaling pathway
- childhood cancer
- endoplasmic reticulum stress
- big data
- artificial intelligence
- high fat diet induced
- heat shock
- adipose tissue
- preterm birth
- insulin resistance
- wild type