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Record W2068728250 · doi:10.1002/jcp.20529

The Feeder layer‐mediated extended lifetime of cultured human skin keratinocytes is associated with altered levels of the transcription factors Sp1 and Sp3

2005· article· en· W2068728250 on OpenAlexafffund
Bénédicte Masson‐Gadais, Claudia Fugère, Claudie Paquet, Steeve Leclerc, Natalie Lefort, Lucie Germain, Sylvain L. Guérin

Bibliographic record

VenueJournal of Cellular Physiology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsCentre hospitalier de l'Université LavalUniversité LavalCentre hospitalier universitaire de QuébecHôpital du Saint-Sacrement
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsCell biologyTranscription factorIn vitroBiologyTranscription (linguistics)Cell cultureKeratinocyteCellCell cycleMolecular biologyGeneticsGene

Abstract

fetched live from OpenAlex

Primary cultured epithelial cells that are used for basic research are often cultivated on plastic whereas those used for clinical purposes are usually cultured in the presence of a feeder layer. Here, we examined the influence of a feeder layer on the expression, affinity and DNA binding ability of the transcription factors, Sp1 and Sp3 in primary cultures of human skin keratinocytes. Co-culturing both newborn and adult skin keratinocytes with lethally irradiated 3T3 cells as a feeder layer contributed to maintain the cell's morphological and growth characteristics and delayed terminal differentiation in vitro. 3T3 also stabilized the DNA binding properties of Sp1 without altering its transcription. Stimulation of Sp1/Sp3 expression appears to be mediated through cell-cell interactions and by factors secreted by 3T3. Thus, we propose that the feeder layer delay terminal differentiation of primary cultured skin keratinocytes by preventing extinction of transcription factors, like Sp1 and Sp3, which play pivotal functions in the cell cycle.

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 score0.075
Threshold uncertainty score0.345

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 head0.017
GPT teacher head0.255
Teacher spread0.238 · 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

Citations36
Published2005
Admission routes2
Has abstractyes

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