Analysis of the paired TCR α- and β-chains of single human T cells.

Kim, Song-Min; Bhonsle, Latika; Besgen, Petra; Nickel, Jens; Backes, Anna; Held, Kathrin; Vollmer, Sigrid; Dornmair, Klaus and Prinz, Joerg C. (2012): Analysis of the paired TCR α- and β-chains of single human T cells.
In: PLOS ONE 7(5), e37338

Abstract

Analysis of the paired i.e. matching TCR α- and β-chain rearrangements of single human T cells is required for a precise investigation of clonal diversity, tissue distribution and specificity of protective and pathologic T-cell mediated immune responses. Here we describe a multiplex RT-PCR based technology, which for the first time allows for an unbiased analysis of the complete sequences of both α- and β-chains of TCR from single T cells. We validated our technology by the analysis of the pathologic T-cell infiltrates from tissue lesions of two T-cell mediated autoimmune diseases, psoriasis vulgaris (PV) and multiple sclerosis (MS). In both disorders we could detect various T cell clones as defined by multiple T cells with identical α- and β-chain rearrangements distributed across the tissue lesions. In PV, single cell TCR analysis of lesional T cells identified clonal CD8(+) T cell expansions that predominated in the epidermis of psoriatic plaques. An MS brain lesion contained two dominant CD8(+) T-cell clones that extended over the white and grey matter and meninges. In both diseases several clonally expanded T cells carried dual TCRs composed of one Vβ and two different Vα-chain rearrangements. These results show that our technology is an efficient instrument to analyse αβ-T cell responses with single cell resolution in man. It should facilitate essential new insights into the mechanisms of protective and pathologic immunity in many human T-cell mediated conditions and allow for resurrecting functional TCRs from any αβ-T cell of choice that can be used for investigating their specificity.

• Item Type: Journal article
• Form of publication: Publisher's Version
• Faculties: Medicine
• Subjects: 600 Technology > 610 Medicine and health
• ISSN: 1932-6203
• Language: English