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Record W4294233613 · doi:10.3389/fcell.2022.992341

Editorial: Mechanisms of hox-driven patterning and morphogenesis

2022· editorial· en· W4294233613 on OpenAlexaff
Marie Kmita, Edwina McGlinn, Ernesto Sánchez‐Herrero

Bibliographic record

VenueFrontiers in Cell and Developmental Biology · 2022
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlanarian Biology and Electrostimulation
Canadian institutionsMcGill UniversityUniversité de MontréalMontreal Clinical Research Institute
Fundersnot available
KeywordsHox geneMorphogenesisBiologyCell biologyZebrafishComputational biologyNeuroscienceGeneticsTranscription factorGene

Abstract

fetched live from OpenAlex

Editorial on the Research Topic Mechanisms of hox-driven patterning and morphogenesisThe Hox genes have attracted the interest of scientist for decades.Their organization in genetic clusters, their ordered chromosomal alignment and the correlation of this disposition with the evolutionary conserved gene expression along the anteroposterior axis have excited the curiosity of researchers and prompted countless investigations.Hox proteins have also been studied as examples of transcription factors that activate particular genes at certain positions.The present Research Topic Mechanisms of Hox-Driven Patterning and Morphogenesis gathers a series of reviews and original articles on Hox expression and function in different model organisms.The seminal work of Ed Lewis characterized transformations in the Drosophila cuticle due to mutations in Bithorax Complex (BX-C) genes.Subsequent studies revealed that Hox genes are expressed and required also in muscles or nervous system.Two reviews focus on the role of Hox genes in these tissues.The manuscript by Poliacikova et al. reviews the role of Hox genes in the different steps of muscle specification in Drosophila and vertebrates.The authors describe Hox activity in somatic/skeletal, cardiac and visceral muscle development, explain the cooperation of Hox proteins with muscle-specific proteins and explain the role of these genes in neuromuscular circuits.These neuromuscular networks are detailed in the work of Joshi et al.They report musclemotoneuron circuits in Drosophila and how these impact on development and behavior.The authors first summarize Hox role in specification of the central nervous system and then review recent advances in Hox determination of motoneuron morphology and physiology, focusing in two larval behaviors, locomotion and feeding, and two adult ones, egg-laying and self-righting.Although it is well established that Hox genes are required during development, recent studies have uncovered a Hox function in adults, as described in the above review.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0020.001
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.0180.017

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 head0.003
GPT teacher head0.200
Teacher spread0.197 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2022
Admission routes1
Has abstractyes

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