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Record W2772884143 · doi:10.1074/jbc.ra117.000485

The intracellular immune receptor Rx1 regulates the DNA-binding activity of a Golden2-like transcription factor

2017· article· en· W2772884143 on OpenAlexafffund
Philip D. Townsend, Christopher H. Dixon, E.J. Slootweg, Octavina C. A. Sukarta, Ally Yang, Timothy R. Hughes, Gary J. Sharples, Lars‐Olof Pålsson, Frank L. W. Takken, Aska Goverse, Martin J. Cann

Bibliographic record

VenueJournal of Biological Chemistry · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchBiotechnology and Biological Sciences Research CouncilDirectorate for Biological SciencesStichting voor de Technische WetenschappenNederlandse Organisatie voor Wetenschappelijk OnderzoekGovernment of Canada
KeywordsBiologyTranscription factorDNAReprogrammingCell biologyTranscription (linguistics)DNA-binding proteinGeneticsGene

Abstract

fetched live from OpenAlex

Plant nucleotide-binding leucine-rich repeat (NLR) proteins enable the immune system to recognize and respond to pathogen attack. An early consequence of immune activation is transcriptional reprogramming, and some NLRs have been shown to act in the nucleus and interact with transcription factors. The Rx1 NLR protein of potato is further able to bind and distort double-stranded DNA. However, Rx1 host targets that support a role for Rx1 in transcriptional reprogramming at DNA are unknown. Here, we report a functional interaction between Rx1 and NbGlk1, a Golden2-like transcription factor. Rx1 binds to NbGlk1 in vitro and in planta. NbGlk1 binds to known Golden2like consensus DNA sequences. Rx1 reduces the binding affinity of NbGlk1 for DNA in vitro. NbGlk1 activates cellular responses to potato virus X, whereas Rx1 associates with NbGlk1 and prevents its assembly on DNA in planta unless activated by PVX. This study provides new mechanistic insight into how an NLR can coordinate an immune signaling response at DNA following pathogen perceptions.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.068
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.056
GPT teacher head0.266
Teacher spread0.210 · 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

Citations58
Published2017
Admission routes2
Has abstractyes

Explore more

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