c-Src and Pyk2 Protein Tyrosine Kinases Play Protective Roles in Early HIV-1 Infection of CD4+ T-Cell Lines
Bibliographic record
Abstract
BACKGROUND: During early HIV-1 infection of CD4 T-lymphocytes, many host protein tyrosine kinases become activated within minutes, including phosphoprotein pp60 (c-Src) and the focal adhesion kinase family member, proline-rich tyrosine kinase 2 (Pyk2). Whether their activation facilitates or impedes infection remains to be determined. METHODS: c-Src kinase inhibitors (SU6656, PP1, and PP2), adenovectors [wild-type and dominant-negative (DN) c-src] or siRNA (targeting c-src or pyk2) were used to inhibit, compete with or knockdown c-Src in Jurkat C, Jurkat E6-1, Hut 78 or Kit225 T-cell lines. Cells were then infected with HIV-1 luciferase reporter virus expressing VSV-G or HXB2(X4) envelope, and luciferase activity was measured after 2 days. Reverse transcriptase activity and viral cDNA were measured 1 hour after infection, whereas integrated virus was measured 12 hours after infection. RESULTS: Pretreating Jurkat T-cells with SU6656 led to increased VSV-G luciferase activity. In the adenovector experiments, T-cells overexpressing dominant-negative c-Src, but not wild-type c-Src, showed increased luciferase activity after VSV-G infection. siRNA knockdown of c-Src or Pyk2, followed by HXB2 infection in Jurkat T-cells, lead to increased reverse transcriptase activity, viral cDNA, integrated virus, and increased luciferase activity. CONCLUSIONS: Pyk2 is known to interact with c-Src. Thus, Pyk2 activation that coincides with increased c-Src activity during HIV-1 infection could be responsible for c-Src activation. Reduced c-Src activation increases HIV-1 reverse transcription, integration, and/or transcription, suggesting the high c-Src activity seen early in HIV-1 infection may be a cellular response to slow or prevent early infection in CD4 T-cells.
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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) | 0.003 | 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".