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Record W2050286273 · doi:10.1002/dvdy.21508

Expression of the NET family member <i>Zfp503</i> is regulated by hedgehog and BMP signaling in the limb

2008· article· en· W2050286273 on OpenAlexaff
Edwina McGlinn, Joy M. Richman, Vicki Metzis, Liam Town, Natalie C. Butterfield, Brandon J. Wainwright, Carol Wicking

Bibliographic record

VenueDevelopmental Dynamics · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsUniversity of British Columbia
FundersRegeneron Pharmaceuticals
KeywordsGLI3BiologyLimb budZebrafishLimb developmentHedgehogSonic hedgehogBone morphogenetic proteinCell biologyTranscription factorHedgehog signaling pathwayGeneticsZinc fingerSignal transductionZone of polarizing activityApical ectodermal ridgeHomeoboxMesodermGeneRepressorEmbryonic stem cell

Abstract

fetched live from OpenAlex

The NET/Nlz family of zinc finger transcription factors contribute to aspects of developmental growth and patterning across evolutionarily diverse species. To date, however, these molecules remain largely uncharacterized in mouse and chick. We previously reported that limb bud expression of Zfp503, the mouse orthologue of zebrafish nlz2/znf503, is dependent on Gli3. Here, we show that Zfp503/Znf503 is expressed in a restricted pattern during mouse and chick embryogenesis, with particularly dynamic expression in the developing limbs, face, somites, and brain. We also add to our previous data on Gli3 regulation by showing that the anterior domain of Zfp503 expression in the mouse limb is responsive to genetic and nongenetic manipulation of hedgehog signaling. Finally, we demonstrate that posterior expression of Znf503 in the chick limb is responsive to bone morphogenetic protein (BMP) signaling, indicating that Zfp503/Znf503 may act at the nexus of multiple signaling pathways in development.

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 score0.002

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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

Citations23
Published2008
Admission routes1
Has abstractyes

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