Unconventional nucleus export and secondary necrosis of human leukemia T lymphocytes (Jurkat cells) transfected with <i>HIV-1 LTR CAT-TAT-72</i> : ultrastructural assessment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Efficient transcriptional activation and replication of the human immunodeficiency virus (HIV-1) is dependent on Tat protein. Initial observations have shown that human leukemia T lymphocytes (Jurkat cells aka Wild type or WT) transfected with HIV-1 LTR CAT TAT-72 plasmid as Control (CTJ) cells, and CTJ transfected by electroporation with pcDNA3-pU3R-CAT-TAT-72 (TJ cells) showed growth and maintenance resulting in giant and small cells with accumulated corpses. The lack of fine structure in Jurkat cells and both transfected cells aimed at us to verify their respective ultrastructure modifications. Scanning and transmission electron microscopy showed evident Cajal bodies in CTJ cells compared with WT cells and revealed unconventional nucleus export of viral-associated transcripts where eruption of the nucleus envelope spilled content from the perinuclear space toward exocytosis via a lined membranous channel continuum of endoplasmic reticulum – mitochondria envelope. TJ cells grew as small and giant cells where giant cells bore virological synapses stimulating apoptogenic impetus but where cell demise included osmotic bursts mostly resulted into secondary necrosis. Jurkat transfected cells could model in vitro resilient human T lymphocytes (or other infected cells) that remain factories of expressed HIV-1 virus proteins such as Tat, secreted and captured by other cells as in viral infections and can form giant cells. Those Tat and other transcripts induced cell demise, as in vivo those HIV-1 viral proteins and traces can amplify infectivity as in AIDS, altering primary lymphoid organs and secondary lymphoid organs.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it