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Record W2050843676 · doi:10.1002/jcb.21034

In vivo modulation of epidermal growth factor receptor phosphorylation in mice expressing different gangliosides

2006· article· en· W2050843676 on OpenAlexfundno aff
José L. Daniotti, Pilar M. Crespo, Tadashi Yamashita

Bibliographic record

VenueJournal of Cellular Biochemistry · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsnot available
FundersConsejo Nacional de Investigaciones Científicas y TécnicasInternational Union of Biochemistry and Molecular Biology
KeywordsKnockout mousePhosphorylationIn vivoEpidermal growth factor receptorGangliosideEpidermal growth factorReceptorCancer researchBiologyCell biologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

We studied in this work the in vivo phosphorylation of the epidermal growth factor receptor (EGFr) in skin from knockout mice lacking different ganglioside glycosyltransferases. Results show an enhancement of EGFr phosphorylation, after EGF stimulation, in skin from Sial-T2 knockout and Sial-T2/GalNAc-T double knockout mice as compared with wild-type and Sial-T1 knockout mice. Qualitative analysis of ganglioside composition in mice skin suggest that the increase of EGFr phosphorylation observed in skin from Sial-T2 knockout and Sial-T2/GalNAc-T double knockout mice in response to EGF might not be primary attributed to the expression of GD3 or a-series gangliosides in mice skin. These studies provide, for the first time, an approach for studying the molecular mechanisms involved in the in vivo regulation of EGFr function by gangliosides.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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 teacher head, 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
Published2006
Admission routes1
Has abstractyes

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