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Record W1525735502 · doi:10.1080/15592324.2015.1033126

A role for OVATE FAMILY PROTEIN1 (OFP1) and OFP4 in a BLH6-KNAT7 multi-protein complex regulating secondary cell wall formation in Arabidopsis thaliana

2015· article· en· W1525735502 on OpenAlexaff
Yuanyuan Liu, Carl J. Douglas

Bibliographic record

VenuePlant Signaling & Behavior · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsArabidopsisBiologyArabidopsis thalianaHomeoboxTranscription factorGeneGene familyCell biologyGeneticsProtein familyMutantGene expression

Abstract

fetched live from OpenAlex

Formation of secondary walls is a complex process that requires the coordinated and developmentally regulated expression of secondary wall biosynthetic genes. In Arabidopsis thaliana, a transcriptional network orchestrates the biosynthesis and deposition of the main SCW components in xylem and fiber cells. It was recently reported that interacting TALE homeodomain proteins BEL-LIKE HOMEODOMAIN6 (BLH6) and KNOTTED ARABIDOPSIS THALIANA7 (KNAT7) negatively regulate secondary cell wall formation in the interfascicular fibers of Arabidopsis inflorescence stems. Members of the Arabidopsis OVATE FAMILY PROTEIN (OFP) family of transcriptional regulators have been shown to physically interact in yeast with various KNAT and BLH proteins, forming a proposed TALE-OFP protein interaction network. This study presents molecular and genetic data indicating that OFP1 and OFP4, previously reported to interact with TALE homeodomain proteins, enhance the repression activity of BLH6, supporting a role for these OFPs as components of a putative multi-protein transcription regulatory complex containing BLH6 and KNAT7.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.083
GPT teacher head0.270
Teacher spread0.187 · 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

Citations71
Published2015
Admission routes1
Has abstractyes

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