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Record W2152782251 · doi:10.13034/cysj-2014-024

The effects of folic acid on cellular senescence

2014· article· en· W2152782251 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Student Science and Technology · 2014
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsManitoba Beekeepers' Association
Fundersnot available
KeywordsSenescenceNocodazoleFibronectinCellCellular senescenceBiologyAndrologyMolecular biologyChemistryBiochemistryMedicineCell biologyGene

Abstract

fetched live from OpenAlex

Biological functions of folic acid (FA) have been reported in various cells to include syn¬thesis and repair of DNA. We have shown that over-dosage of FA causes blood haemolysis, leading to progressive anaemia. It is reported that 200 – 400 μg/ml of FA increases the size of blood cells within 2h of treatment leading to abnormal cell division and necrosis. This observation suggests early cellular aging or senescence. We hypothesized that FA may play a vital role in cellular senescence. Kidney fibro¬blast (cos7) cells were treated with 200 μg of FA in combination with an anti-neoplastic agent, nocodazole prior to FA treatment. FA affected the expression of fibronectin (protein marker for aging) after nocodazole exposure. Further¬more, fibronectin expression was higher in FA-treated cells of the 14th generation compared to the 8th generation. 14th generation cells also showed a decrease in cell size when exposed to FA treatment. Contrasting previous results, treating cancer cells with FA showed in fact cell-beneficial effects as FA over-dosage has a noticeable effect on cell aging. However, these effects may be cell type or tissue-specific. L’espèce copépode, Tigriopus californicus, est une des espèces les plus thermiquement adapt¬ables de la biosphère. On les trouve dans les bâches depuis la côte de l’Alaska jusqu’à la côte sud de la Californie. Toutefois, comme tous les autres organ¬ismes, les Tigriopus californicus ont des limites et ne peuvent pas tolérer des températures supérieures à 34oC. En comparant l’expression génétique entre les spécimens exposés à des températures élevées et ceux exposés à des températures optimales, nous avons identifié les gènes responsables de la tolérance à des températures en hausse. Après avoir testé l’expression génétique entre les copépodes à 20oC et à 34oC, nous avons déterminé que le gène hsp70 et les récepteurs de type Toll du T. californicus jouent tous deux un rôle dans la tolérance aux variations de température.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.264
Teacher spread0.259 · 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