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Record W2076780139 · doi:10.1159/000112577

GFA Content, Glutamate Uptake and Activity of Glutamate Metabolizing Enzymes in Differentiating Mouse Astrocytes in Primary Cultures

2007· article· en· W2076780139 on OpenAlexaff
Leif Hertz, Elisabeth Bock, Arne Schousboe

Bibliographic record

VenueDevelopmental Neuroscience · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsGlutamate receptorGlutamate dehydrogenaseGlutamine synthetaseGlutamineEnzymeGlutaminaseBiochemistryAstrocyteBiologyChemistryInternal medicineEndocrinologyMolecular biologyCentral nervous systemAmino acidMedicine

Abstract

fetched live from OpenAlex

The effects on GFA content, glutamate uptake and activity of glutamate metabolizing enzymes (glutamine synthetase, glutamate dehydrogenase, glutamate-oxaloacetate transferase) by three variables, i.e., length of culturing period, presence or absence of serum, and presence or absence of dibutyryl cyclic AMP (dBcAMP) were studied in primary cultures of astrocytes from newborn mice. During 3 weeks of culturing the content of GFA, the rate of glutamate uptake and the activity of all three enzymes increased but the period of maximum increase differed between the different parameters. The GFA content and the Vmax and Km for glutamate uptake were increased by dBcAMP and decreased by serum withdrawal but the enzyme activities were relatively little affected.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.072
GPT teacher head0.324
Teacher spread0.252 · 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

Citations173
Published2007
Admission routes1
Has abstractyes

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