T Cell–Intrinsic CX3CR1 Marks the Most Differentiated Effector CD4+ T Cells, but Is Largely Dispensable for CD4+ T Cell Responses during Chronic Viral Infection
Bibliographic record
Abstract
Abstract CD4+ T cells play critical roles during chronic viral infections, but the factors that regulate these responses remain incompletely defined. During chronic infection of mice with lymphocytic choriomeningitis virus clone 13 (LCMV13), the TNFR family member GITR plays a critical CD4+ T cell–intrinsic role in allowing T cell accumulation and viral control. Previously, RNA sequencing of GITR+/+ and GITR−/− T cells sorted from the spleen of mice at day 3 of LCMV13 infection identified the chemokine receptor CX3CR1 as increased by GITR signaling in CD4+ T cells. In this study, we evaluated the role of CX3CR1 on CD4+ T cells during LCMV13 infection. CX3CR1 expression is induced on Ag-specific CD4+ T cells upon Ag stimulation, and GITR signaling further increases the level of CX3CR1 expression. CX3CR1 marks the most differentiated T-bethi, Th1 effector population. Adoptively transferred CX3CR1−/− SMARTA cells had slightly reduced expression of T-bet and IFN-γ per cell compared with their CX3CR1+/+ counterparts but showed no deficit in accumulation in the spleen, lung, or liver. In mixed-radiation chimeras reconstituted with CX3CR1+/+ and CX3CR1−/− bone marrow, CX3CR1+/+ CD4+ T cells showed a marginal deficit in tissue-resident memory T cell numbers compared with the CX3CR1−/− T cells. CX3CR1 may limit acquisition of the tissue-resident memory T cell phenotype because of its effects on increasing T-bet expression, albeit these small effects are unlikely to be of major biological significance. Taken together, these studies show that CX3CR1 marks the most highly differentiated CD4+ Th1 effector population but is largely dispensable for CD4+ T cell responses during chronic viral infection.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".