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Record W2129313145 · doi:10.1172/jci11918

Hostile takeovers: viral appropriation of the NF-kB pathway

2001· review· en· W2129313145 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Clinical Investigation · 2001
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNF-κB Signaling Pathways
Canadian institutionsJewish General Hospital
FundersNational Cancer InstituteFonds de Recherche du Québec - SantéMcGill UniversityCanadian Institutes of Health ResearchCanadian Foundation for AIDS Research
KeywordsAppropriationVirologyCell biologyBiologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Transcriptional regulators of the NF-kB/IkB family promote the expression of well over 100 target genes, the majority of which participate in the host immune response (1). These proteins include a multitude of cytokines and chemokines, receptors required for immune recognition, proteins involved in antigen presentation, and adhesion receptors involved in transmigration across blood vessels walls. Because of this extensive role in immune action, NF-kB has been termed the central mediator of the immune response. Gene knockout and other studies establish roles for NF-kB in the ontogeny of the immune system but also demonstrate that NF-kB participates at multiple steps during oncogenesis (2) and the regulation of programmed cell death (3). For several reasons, the NF-kB pathway provides an attractive target to viral pathogens. Activation of NF-kB is a rapid, immediate early (IE) event that occurs within minutes after exposure to a relevant inducer, does not require de novo protein synthesis, and results in a strong transcriptional stimulation of several early viral as well as cellular genes. In this review, we will describe strategies that viruses have evolved to modulate the NF-kB pathway, to enhance viral replication, host cell survival, and evasion of immune responses. Activation of NF-kB constitutes an obvious target because many of its target genes — growth factors, cytokines and their receptors, and proto-oncogenes — profoundly influence the host cell cycle. In addition, some viruses exploit the antiapoptotic properties of NF-kB to evade the host defense mechanisms that limit replication by killing infected cells, or conversely to trigger apoptosis as a mechanism to increase virus spread. Perhaps not surprisingly, the persistent activation of the NF-kB pathway maintained by certain viruses contributes to oncogenic transformation (2). In addition to the classic studies with the avian REV-T retrovirus which contains the v-Rel oncoprotein and induces a rapid and fatal B-cell lymphoma in young birds (4), several lines of evidence demonstrate that NF-kB family members contribute to human oncogenesis. Localization of NF-kB–encoding genes at sites of chromosomal translocations and genomic rearrangements in cancer, high levels of NF-kB activity in many breast cancer cells, and constitutive nuclear NF-kB complexes in Hodgkin’s lymphoma cells all support this view (2). Furthermore, as discussed below, viral oncogene products, including human T-cell leukemia virus type 1 (HTLV-1) Tax protein and Epstein-Barr virus latent infection membrane protein 1 (EBV LMP1), each act by unique mechanisms to disrupt NF-kB regulation and initiate viral transformation.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.124
GPT teacher head0.389
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it