Mechanisms determining cell membrane expression of different γδ TCR chain pairings
Bibliographic record
Abstract
We investigated the ability of the most common TCR-gamma and delta chains to express on the cell surface. Vgamma1Cgamma4 and Vgamma7Cgamma1 chains paired with all TCR-delta chains tested, whereas Vgamma4Cgamma1 chains were found with Vdelta4 and Vdelta5, but not with Vdelta2 or Vdelta6 chains, and Vgamma2Cgamma2 chains were expressed only with Vdelta5. Mapping studies showed that up to four polymorphic residues influence the different co-expressions of Vgamma1 and Vgamma2 chains with Vdelta chains. Unexpectedly, these residues are not located in the canonical gamma/delta interface, but in the outer part of the gammadelta TCR complex exposed to the solvent. Expression of functional Vdelta4 or Vdelta6 chains in Vgamma2/Vdelta5(+) cells or of functional Vgamma2Cgamma2 in Vgamma1(+) cells reduced cell-surface expression of the gammadelta TCR. Taken together, these data show that (i) the Vgamma/Vdelta repertoire of mouse gammadelta T cells is reduced by physical constraints in their associations. (ii) Lack of Vgamma2/Vdelta expression is due to the formation of aberrant TCR complexes, rather than to an intrinsic inability of the chains to pair and (iii) despite not being expressed at the cell surface, the presence of a functionally rearranged Vgamma2 chain in gammadelta T cells results in reduced TCR levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".