scholarly journals 1947P Single cell analysis reveals that CD8+ T cell clone size determines response to immune checkpoint blockade

2020 ◽  
Vol 31 ◽  
pp. S1098
Author(s):  
R. Watson ◽  
O. Tong ◽  
I. Nassiri ◽  
R.A. Cooper ◽  
C. Taylor ◽  
...  
2021 ◽  
Vol 12 ◽  
Author(s):  
Trine Sundebo Meldgaard ◽  
Fabiola Blengio ◽  
Denise Maffione ◽  
Chiara Sammicheli ◽  
Simona Tavarini ◽  
...  

CD8+ T cells play a key role in mediating protective immunity after immune challenges such as infection or vaccination. Several subsets of differentiated CD8+ T cells have been identified, however, a deeper understanding of the molecular mechanism that underlies T-cell differentiation is lacking. Conventional approaches to the study of immune responses are typically limited to the analysis of bulk groups of cells that mask the cells’ heterogeneity (RNA-seq, microarray) and to the assessment of a relatively limited number of biomarkers that can be evaluated simultaneously at the population level (flow and mass cytometry). Single-cell analysis, on the other hand, represents a possible alternative that enables a deeper characterization of the underlying cellular heterogeneity. In this study, a murine model was used to characterize immunodominant hemagglutinin (HA533-541)-specific CD8+ T-cell responses to nucleic- and protein-based influenza vaccine candidates, using single-cell sorting followed by transcriptomic analysis. Investigation of single-cell gene expression profiles enabled the discovery of unique subsets of CD8+ T cells that co-expressed cytotoxic genes after vaccination. Moreover, this method enabled the characterization of antigen specific CD8+ T cells that were previously undetected. Single-cell transcriptome profiling has the potential to allow for qualitative discrimination of cells, which could lead to novel insights on biological pathways involved in cellular responses. This approach could be further validated and allow for more informed decision making in preclinical and clinical settings.


2017 ◽  
Author(s):  
Kristina Grigaityte ◽  
Jason A. Carter ◽  
Stephen J. Goldfless ◽  
Eric W. Jeffery ◽  
Ronald J. Hause ◽  
...  

ABSTRACTA diverse T cell repertoire is a critical component of the adaptive immune system, providing protection against invading pathogens and neoplastic changes, relying on the recognition of foreign antigens and neoantigen peptides by T cell receptors (TCRs). However, the statistical properties and function of the T cell pool in an individual, under normal physiological conditions, are poorly understood. In this study, we report a comprehensive, quantitative characterization of the T cell repertoire from over 1.9 million cells, yielding over 200,000 high quality paired αβ sequences in 5 healthy human subjects. The dataset was obtained by leveraging recent biotechnology developments in deep RNA sequencing of lymphocytes via single-cell barcoding in emulsion. We report non-random associations and non-monogamous pairing between the α and β chains, lowering the theoretical diversity of the T cell repertoire, and increasing the frequency of public clones shared among individuals. T cell clone size distributions closely followed a power law, with markedly longer tails for CD8+ cytotoxic T cells than CD4+ helper T cells. Furthermore, clonality estimates based on paired chains from single T cells were lower than that from single chain data. Taken together, these results highlight the importance of sequencing αβ pairs to accurately quantify lymphocyte receptor diversity.


2011 ◽  
Vol 121 (11) ◽  
pp. 4322-4331 ◽  
Author(s):  
Navin Varadarajan ◽  
Boris Julg ◽  
Yvonne J. Yamanaka ◽  
Huabiao Chen ◽  
Adebola O. Ogunniyi ◽  
...  

2020 ◽  
Vol 20 (4) ◽  
pp. 218-232 ◽  
Author(s):  
Anne M. van der Leun ◽  
Daniela S. Thommen ◽  
Ton N. Schumacher

2011 ◽  
Vol 108 (37) ◽  
pp. 15318-15323 ◽  
Author(s):  
D. E. Speiser ◽  
S. Wieckowski ◽  
B. Gupta ◽  
E. M. Iancu ◽  
P. Baumgaertner ◽  
...  

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