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Record W4390197734 · doi:10.1002/2211-5463.13760

Induction of apoptosis in <scp>B16‐BL6</scp> melanoma cells following exposure to electromagnetic fields modeled after intercellular calcium waves

2023· article· en· W4390197734 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

VenueFEBS Open Bio · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsLaurentian University
Fundersnot available
KeywordsApoptosisIntracellularCalciumCalcium in biologyCell biologyBiophysicsChemistryMelanomaCalcium signalingBiologyCancer researchBiochemistry

Abstract

fetched live from OpenAlex

Exposure to time‐varying electromagnetic fields (EMF) has the capacity to influence biological systems. Our results demonstrate that exposure to time‐varying EMF modeled after the physiological firing frequency of intercellular calcium waves can inhibit proliferation and induce apoptosis in malignant cells. Single exposure of B16‐BL6 cells to a Ca 2+ EMF for 40 min reduced the number of viable cells by 50.3%. Cell imaging with acridine orange and ethidium bromide dye revealed substantial cellular apoptosis, preapoptotic cells, nuclear fragmentation, and large spacing between cells in the Ca 2+ EMF condition when compared to the control condition. The ability of Ca 2+ EMF to influence the proliferation and survival of malignant cells suggests that exposure to specific EMF may function as a potential anticancer therapy.

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)0.000
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 score0.010
Threshold uncertainty score0.804

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 head0.013
GPT teacher head0.253
Teacher spread0.239 · 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