We also hope Metaclonotypist will prove to be a valuable application for fast and flexible parameter optimisation for identification of T cell metaclones across wide-ranging disease domains.

Given the critical role of T cell immunity in TB, we are excited about the potential for using generalisable T cell metaclones for improved disease-risk stratification in Mtb-infected people, and for identification of T cell epitopes for development of more effective vaccines.

Although the predominant repertoire of T cell reactivity to Mtb epitopes is private to individuals, we found striking evidence for population-wide immunodominance at the level of individual pMHC specificity revealed by highly generalisable/public T cell metaclones.

To overcome inter-individual TCR sequence diversity for shared peptide-MHC specific responses to Mtb , we developed a new computational pipeline, Metaclonotypist, to identify HLA-associated clusters of similar TCR sequences (metaclones) across a large ethnically diverse study population.

We used the tuberculin skin test as a standardised in vivo challenge comprising the whole Mtb proteome to generate localised enrichment of Mtb reactive T cells derived from the whole in vivo repertoire, which we characterised by TCR sequencing.

Fab analysis @hannahrickman.bsky.social - will we be well cited. are there sex-stratified data for house-hold contacts for which we may expect similar exposures?

Exciting- live to hear more!

important point- have not done this yet- wonder whether protein as dynamic as transcripts

and these data from unselected acute respiratory viruses in community acquired infection - with longitudinal sampling after the symptom onset

Not sure if I have misunderstood- our findings that distinct biomarkers discriminate early & late phases of infection were generalisable to all acute respiratory viruses we have been able to test - panel on right = extended time course from Flu challenge