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Record W6996314892

The Role of ERRγ in Longitudinal Bone Growth

2010· dissertation· en· W6996314892 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2010
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsnot available
Fundersnot available
KeywordsEndochondral ossificationChondrogenesisAppendicular skeletonCartilageSkeleton (computer programming)PhenotypeChondrocyteGenetically modified mouseIntramembranous ossification
DOInot available

Abstract

fetched live from OpenAlex

Estrogen-receptor-related receptor gamma, ERRγ, is highly expressed in cartilage and upregulates the chondrogenic transcription factor, Sox9, in a chondrocytic cell line. To assess the effect of increasing ERRγ activity on cartilage in vivo, we generated transgenic animals driving ERRγ expression with a chondrocyte-specific promoter. I verified that one transgenic line exhibited 26% increased ERRγ protein at E14.5. No major morphological defects were seen at this stage, but I observed significant reduction in the size of the appendicular skeleton in P7 mice, such that all elements of the appendicular skeleton were significantly reduced by 4 – 10%. I continued the phenotype analysis at the histological level and found that the P7 animals displayed significantly reduced growth plate height, caused by deficiencies in the size of the proliferative and hypertrophic zones of the growth plate. This suggests a previously unknown role for ERRγ in regulating endochondral ossification in growth plate chondrocytes.

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 score0.007
Threshold uncertainty score0.014

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 communication0.0000.000
Open science0.0000.000
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 head0.001
GPT teacher head0.141
Teacher spread0.140 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicEstrogen and related hormone effects→French-language works237,207→