These findings are consistent with a normal organized distribution of TRB V segment usage in healthy individuals, and a more diffuse and disorderly usage in recipients, consistent with the notion of T cell responses constituting a dynamical system which evolves as a function of time.
Abstract
T cell repertoire sequencing has unveiled a vast, complex array of T cells responsible for the human immune responses. Traditional analytic methodology fails to fully characterize and quantify the diversity of T cell receptors constituting the T cell repertoire. T cell receptor clonal frequency measured in terms of T cell receptor beta (TRB) V gene segment usage when arrayed in correspondence with the respective V gene segment positions on the TRB loci yields a periodic, undulating curve in the spatial domain of the TRB genomic locus. Using the genomic distance from the TRB-D1 segment to the TRB-V1-29 segments, Fourier analysis was performed utilizing Lomb-Scargle periodogram to obtain Spectral Power curves quantifying the TRB V clonal frequencies from 6 allogeneic stem cell transplant donors (baseline) and recipients (≥100 days) using a variety of analytic software. Spectral Power curves revealed dominant spectral peaks at wavelengths ranging from 4-9 kb (113-252 millicycles/kb) in the six donors, with consistent frequency domain spectral patterns. This is consistent with similar use of V segments across healthy individuals. Recipients on the other hand demonstrated more dispersed spectra, with a spectral centroid shifted towards higher frequencies compared to donors (260 vs. 247 millicycles/kb). Consistent with this observation, the Low Frequency Index was lower in the recipients (0.18 vs 0.20). Power was concentrated in the <3 kb and 3-12 kb wavelengths in both groups. The analyses reported here demonstrate that the healthy SCT donors have a remarkably similar spectral signature occupying short to intermediate wavelegnths in the frequency domain, whereas recipients tend to shift towards higher frequencies. These findings are consistent with a normal organized distribution of TRB V segment usage in healthy individuals (by analogy other loci), and a more diffuse and disorderly usage in recipients, consistent with the notion of T cell responses constituting a dynamical system which evolves as a function of time. Fourier analysis of TRB (and potentially TRA) sequencing data provides a repertoire wide summary of T cell clonal distribution.
The human T cell repertoire is generated through recombination of a multitude of T cell receptor gene segments, yielding a complex array of T cell clones. T cell receptor beta (TRB) V gene segment defined, T cell clonal frequency when organized in correspondence with the respective V gene segment positions on the TRB g...
A. Toor, A. Mariños-Velarde, R. Qayyum· medRxiv· 0 citations
Adaptive immune diversity is shaped by the complex organization of T cell receptor (TCR) and B cell receptor (BCR) repertoires across tissues. However, a systematic cross-tissue immune repertoire profiling in healthy pigs is still lacking. In this study, we used 3 14-day-old Duroc × Landrace × Yorkshire (DLY) crossbred...
Hao Zhang, Qi-Xin Zhang, He Zhang et al.· Advanced Biotechnology· 0 citations
V identity is an emergent, system-level property of the repertoire, set jointly by recombination and selection and invisible in any single rearrangement, so it should be reported as a calibrated group rather than a single gene.
Diversity of epitope-specific TCRs is not limited by distinct germline combinations, but rather can emerge from a near-to-complete combinatorial space of α- and β-chain, V and J segments paired with compatible CDR3 sequences.
Adrian Straub, Yang An, F. Drost et al.· bioRxiv· 0 citations
Abstract The clonal selection theory of “one lymphocyte expresses one type of antigen receptor” has been challenged and complemented by the concept of dual receptor lymphocytes. However, the proportion, source, and characterization of dual TCR γδ T cells have not been determined. Using single-cell RNA plus single-cell...
Hui-Fang Wang, Yuan-Yuan Xu, Nai-Xin Cao et al.· ImmunoHorizons· 0 citations
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