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Record W2020569068 · doi:10.1089/scd.2008.0064

Tamoxifen-Inducible Cre-Mediated Calreticulin Excision to Study Mouse Embryonic Stem Cell Differentiation

2008· article· en· W2020569068 on OpenAlexafffund
Éva Szabó, Jonathan Soboloff, Ewa Dziak, Michał Opas

Bibliographic record

VenueStem Cells and Development · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsBiologyCalreticulinStem cellCell biologyEmbryonic stem cellCre recombinaseCellular differentiationTamoxifenCre-Lox recombinationGene targetingEndoplasmic reticulumGeneGeneticsTransgene

Abstract

fetched live from OpenAlex

Embryonic stem cells are useful to study the functional aspects of lineage commitment. In this study, we report that using the Cre/loxP system provides a useful tool for studying multifunctional proteins that are involved in stem cell differentiation, such as calreticulin. Calreticulin is a chaperone and a major calcium buffer of the endoplasmic reticulum and it functions during both adipogenesis and cardiomyogenesis. We used both a tamoxifen-inducible and cardiomyocyte-specific alpha-myosin heavy chain promoter-driven Cre/loxP system to study cardiomyogenesis, and a tamoxifen-inducible ubiquitously expressed cytomegalovirus promoter-driven Cre/loxP system to study adipogenesis. Both Cre/loxP systems mimicked the results previously observed using the calreticulin-null stem cell systems. Our results indicate that the tamoxifen-inducible Cre/loxP system is an effective and reliable tool to use for gene ablation in studies on functional aspects of stem cell biology.

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)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.020
GPT teacher head0.224
Teacher spread0.204 · 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

Citations6
Published2008
Admission routes2
Has abstractyes

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