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Record W1598544178 · doi:10.1074/jbc.m008140200

Dominant Negative Function by an Alternatively Spliced Form of the Interferon-inducible Protein Kinase PKR

2001· article· en· W1598544178 on OpenAlexaff
Suiyang Li, Antonis E. Koromilas

Bibliographic record

VenueJournal of Biological Chemistry · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsProtein kinase REIF-2 kinaseJurkat cellsBiologyInterferonMolecular biologyAutophosphorylationProtein kinase ACell biologyRNA silencingKinaseCyclin-dependent kinase 2RNARNA interferenceVirologyBiochemistryT cellGeneticsGene

Abstract

fetched live from OpenAlex

The double-stranded RNA (dsRNA)-activated protein kinase PKR (protein kinase dsRNA-dependent) plays an important role in the regulation of protein synthesis by phosphorylating the alpha-subunit of eukaryotic initiation factor 2. Through this activity, PKR is thought to mediate the antiviral and antiproliferative actions of interferon. Here, we show that the human T cell leukemia Jurkat cells express an alternatively spliced form of PKR with a deletion of exon 7 (PKRDeltaE7), resulting in a truncated protein that retains the two dsRNA-binding motifs. PKRDeltaE7 exhibits a dominant negative function by inhibiting both PKR autophosphorylation and eukaryotic initiation factor 2 alpha-subunit phosphorylation in vitro and in vivo. Reverse transcriptase-polymerase chain reaction assays showed that PKRDeltaE7 is expressed in a broad range of human tissues at variable levels. Interestingly, expression of PKRDeltaE7 is higher in Jurkat cells than in normal peripheral blood mononuclear cells, raising the possibility of a role in cell proliferation and/or transformation. Thus, expression of alternatively spliced forms of PKR may represent a novel mechanism of PKR autoregulation with important implications in the control of cell proliferation.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations47
Published2001
Admission routes1
Has abstractyes

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