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Record W2043908867 · doi:10.1111/aji.12347

mRNA Destabilizing Factors: Tristetraprolin Expression at the Porcine Maternal–Fetal Interface

2014· article· en· W2043908867 on OpenAlexafffund
Kasra Khalaj, Jocelyn M. Wessels, Rami T. Kridli, Mallikarjun Bidarimath, Jonathan LaMarre, Chandrakant Tayade

Bibliographic record

VenueAmerican Journal of Reproductive Immunology · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsUniversity of GuelphQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural AffairsCanadian Institutes of Health ResearchOntario Pork
KeywordsTristetraprolinFetusExpression (computer science)Messenger RNAMedicineAndrologyBiologyCell biologyPregnancyComputer scienceGeneticsRNA-binding protein

Abstract

fetched live from OpenAlex

PROBLEM: To evaluate the expression of the tristetraprolin family and their selected targets during porcine pregnancy. METHOD OF STUDY: Using qPCR and Western blot, mRNA and protein levels were compared between endometrium and chorioallantoic membrane (CAM) associated with healthy and impaired conceptuses at gestation day (gd) 20 and gd50, respectively. Immunohistochemistry was performed to determine localization of TIS11 family members at gd20 and 50. RESULTS: Multiple significant differences (P < 0.05) in TIS11 family transcripts were observed in the aforementioned comparisons. GM-CSF was significantly higher in healthy endometrium and CAM from impaired conceptus attachment sites. TNF-α was elevated in CAM as compared to endometrium at gd50, regardless of conceptus health status. Immunohistochemical staining shows TIS11 family expressed in the glandular and luminal epithelium, as well as stromal cells in the uterus. CONCLUSIONS: The shift in the expression of tristetraprolin (TTP) and TIS11D points to a potential role of these genes in regulating spontaneous fetal loss.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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

Citations13
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Reproductive ImmunologySame topicReproductive System and PregnancyFrench-language works237,207