R5 and X4 HIV Viruses Differentially Modulate Host Gene Expression in Resting CD4 <sup>+</sup> T Cells
Bibliographic record
Abstract
During HIV-1 infection, distinct biological phenotypes are observed between R5 and X4 HIV-1 strains with respect to pathogenicity and tropism. In this study, temporal changes of the expression levels of the complete human transcriptome, representing 47,000 well-characterized human transcripts, were monitored in the first 24 h during HIV-1 R5 and X4 exposition in resting primary CD4(+) T cells. We provide evidence that R5 viruses modulate, to a greater extent than X4 viruses, the level of mRNA of the resting CD4(+) T cells. Indeed, modulation of the TCR signaling and the actin organization involving the WAVE/ABI complex and the ARP2/3 complex appeared to be associated with R5 exposition. The data suggest that the ability of R5 viruses to modulate TCR-mediated actin polymerization and signaling creates a favorable environment for CD4(+) T cell activation after TCR stimulation and may partly explain why R5 is the primary strain observed early in the natural infection process.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".