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Two commercial IGRAs, based on overlapping peptides from CFP-10 and ESAT-6 are now available.
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While the current data set is relatively small in size, larger sets of data identifying physiological peptide interactions may provide useful data for investigating the overlapping influences of multiple events required for functional signaling based on overlapping motifs.
A decentralized controller design approach, based on overlapping decompositions, is described for such systems.
Computational methods have been developed to reconstruct transcript structures based on overlapping reads [36].
To avoid counts based on overlapping binding motifs, overlapping pairs were not considered.
In fact, QFT-IT uses a greater variety of epitopes to elicit M. tuberculosis immune responses by effector memory T-cells and is based on pools of overlapping peptides spanning the whole length of CFP-10 and ESAT-6 proteins and an additional peptide from RD11 [4], [4].
In fact, the commercial IGRAs and TST use a greater variety of epitopes to elicit M. tuberculosis immune responses by effector memory T-cells [28] [29] being TST a crude preparation of several mycobacterial antigens, and commercially IGRAs based on pools of overlapping peptides spanning the whole length of CFP-10 and ESAT-6 proteins [5].
In the second step, overlapping groups are merged based on overlap scores.
These interactions are scored as true positives based on capture recapture, but as false positives based on overlap.
Mapping of epitopes was done using pools of overlapping peptides based on the consensus clade B sequence spanning the entire HIV proteome (Los Alamos immunology database).
In this study, we designed a set of overlapping peptides based on the RL42 Gag sequence, and we performed ELISPOT assays of samples from nine B′ clade HIV-1-infected HLA-A∗30-B∗13-C∗06-positive slow progressors from the paid plasma donor cohort in the Henan province.
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