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Record W2113919477 · doi:10.1667/rr2036.1

Serum Serotonin Levels Determine the Magnitude and Type of Bystander Effects in Medium Transfer Experiments

2010· article· en· W2113919477 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRadiation Research · 2010
Typearticle
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsMcMaster University Medical Centre
FundersEuropean Commission
KeywordsBystander effectSerotoninToxicityToxicologyChemistryAndrologyBiologyImmunologyInternal medicineMedicineBiochemistryReceptor

Abstract

fetched live from OpenAlex

Serotonin has been shown to be involved in the production of bystander signals by irradiated cells. In this study we examined the levels of serotonin in 10 different batches of commercially available fetal calf serum and correlated the serotonin levels with the toxicity of medium harvested from irradiated cells (ICCM) using a standard medium transfer colony-forming assay. The serotonin levels in the serum varied widely between batches, and the levels correlated directly with the toxicity of the harvested ICCM. Three serum samples had levels of serotonin below 25 ng/ml, and these did not show medium transfer bystander effects. Exposure of serum samples to normal daylight reduced serotonin levels significantly. We suggest that serum batch variability may underlie much of the observed interlaboratory variation in the ability to produce bystander effects and further suggest that serum batches should be protected from light and prescreened for their ability to produce a bystander effect using a positive control cell line.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.069
GPT teacher head0.420
Teacher spread0.352 · 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