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Record W2066824880 · doi:10.4161/psb.2.6.4803

Cyclic Nucleotide Gated Channels and Ca<sup>2+</sup>-Mediated Signal Transduction During Plant Innate Immune Response to Pathogens

2007· article· en· W2066824880 on OpenAlexaff
Wei Ma, Keiko Yoshioka, Gerald A. Berkowitz

Bibliographic record

VenuePlant Signaling & Behavior · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInnate immune systemBiologySignal transductionCell biologyCytosolIon channelPlant ImmunityArabidopsisTransduction (biophysics)Immune systemBiochemistryGeneGeneticsReceptorMutantEnzyme

Abstract

fetched live from OpenAlex

Transitory perturbations in the level of cytosolic Ca(2+) are well known to be involved in numerous cell signaling pathways in both plant and animal systems. However, not much is known at present about the molecular identity of plant plasma membrane Ca(2+) conducting ion channels or their specific roles in signal transduction cascades. A recent study employing genetic approaches as well as patch clamp electrophysiological analysis of channel currents has provided the first such direct evidence linking a specific gene product with inward Ca(2+) currents across the plant cell membrane. This work identified Ca(2+) permeation through (Arabidopsis) cyclic nucleotide gated channel isoform 2 (CNGC2) as contributing to the plant innate immunity signaling cascade initiated upon perception of a pathogen. Here, we expand on the implications of CNGC2 mediated cytosolic Ca(2+) elevations associated with plant cell response to pathogen recognition, and propose some additional steps that may be involved in the innate immunity signal cascade.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.226
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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

Citations19
Published2007
Admission routes1
Has abstractyes

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