Cellular control of nuclear import of HIV
Bibliographic record
Abstract
To further define the relationship between T cell activation and the nuclear import of HIV pre-integration complex (PIC), this thesis examines the role of topoisomerase II (topoII), and enzyme induced and involved in a major remodeling of nucleus during T cell activation. The negatively selected highly purified resting CD4+ human T cells, free of monocytes, were infected with HIVIIIB and stimulated with a combination of anti-CD3 and anti-CD28 monoclonal antibodies (mAbs) in the presence or absence of different topoII inhibitors (VM-26, mAMSA, novobiocin, ICRF 187) that act through different mechanisms and block the activities of both topoII_ and topoIIB isozymes. Specific mRNA expression was monitored by RT-PCR, IL-2 production by ELISA and the expression of IL-2R_ by flow cytometry. Fully reverse-transcribed viral genome was monitored by PCR amplification and the nuclear migration of PIC was monitored by semi-quantitative PCR assays of 2-LTR circles. The entry of cells into S-phase was monitored by 3H-thymidine incorporation. (Abstract shortened by UMI.)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".