SLP-2 deficiency in T cells is associated with decreased respiratory complex I levels and impaired TCR-dependent responses (109.27)
Bibliographic record
Abstract
Abstract We have previously reported that stomatin-like protein 2 (SLP-2) regulates human T cell activation through the antigen receptor. In human lymphoid tissues, SLP-2 is widely expressed in the thymus, lymph nodes and tonsils, and its expression is further up-regulated in response to lymphocyte activation. In T cells, SLP-2 is found in two pools: the most abundant is associated with mitochondria while a smaller pool is associated with the plasma membrane. To further investigate the role of SLP-2, we generated T cell-specific SLP-2 deficient mice. These mice had normal numbers of thymocytes and mature T cells. However, SLP-2 deficient T cells showed significantly less T cell activation in response to T cell stimulation in vivo and in vitro. Although SLP-2 deficient T cells did not show significant alterations in mitochondrial biogenesis, they had decreased levels of the NDUSF3, NDUFB8 and NDUFA9 subunits of complex I of the respiratory chain, suggesting a possible role for SLP-2 in regulating the stability of proteins involved in mitochondrial electron transport. SLP-2 deficient T cells also had less cardiolipin within detergent-insoluble microdomains, which may be required for proper respiratory chain assembly and function. Based on these results, we conclude that SLP-2 contributes to T cell activation, in part by regulating stability of complex I of the respiratory chain and sustaining the metabolic requirements for T cell activation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".