Mono Mac 1: a new <i>in vitro</i> model system to study HIV-1 infection in human cells of the mononuclear phagocyte series
Bibliographic record
Abstract
Throughout the years, most researchers have used continuous cell lines as in vitro models to evaluate the immunopathogenesis of human immunodeficiency virus type-1 (HIV-1) infection. Unfortunately, the most commonly used monocytoid malignant cells have not been shown to adequately mimic primary human monocyte-derived macrophages, at least with respect to HIV-1 infection. The Mono Mac 1 cell line has been defined as a model system for studying biochemical, immunological, and genetic functions of human cells of the monocyte/macrophage lineage. In this study, we have investigated whether Mono Mac 1 represents an in vitro culture system for HIV-1 infection. Flow cytometric analyses revealed that Mono Mac 1 are positive for the HIV-1 primary receptor (CD4), as well as for the coreceptors (CXCR4, CCR5, and CCR3). Infectivity experiments conducted with recombinant luciferase-encoding and fully infectious viruses demonstrated that Mono Mac 1 can support a highly productive infection with both macrophage- and dual-tropic isolates of HIV-1. Furthermore, differentiation of such cells led to a marked increase in virus production. Data from semiquantitative polymerase chain reaction analysis and mobility shift assays indicated that enhanced virus production in differentiated Mono Mac 1 cells was most likely related to an increase in nuclear translocation of NF-kappaB. Mono Mac 1 can thus be considered as a human monocytoid cell line representing a proper in vitro system for studying the complex interactions between HIV-1 and cells of the monocyte/macrophage lineage.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".