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Record W1988373380 · doi:10.1071/rdv25n1ab2

2 TRANSCRIPTOME ANALYSIS OF GRANULOSA CELLS FROM GROWING DOMINANT FOLLICLE REVEALS AGE-ASSOCIATED CHANGES AT THE TIME OF FOLLICLE SELECTION IN AGED BEEF CATTLE

2012· article· en· W1988373380 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReproduction Fertility and Development · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsUniversité LavalUniversity of Saskatchewan
Fundersnot available
KeywordsBiologyTranscriptomeFollicleFolliculogenesisTransgenesisReproductive technologyOvarian follicleAntral follicleInternal medicineEndocrinologyAndrologyFollicle-stimulating hormone receptorGranulosa cellFollicular phaseCell biologyGene expressionFollicle-stimulating hormoneCryopreservationGeneticsLuteinizing hormoneEmbryoGeneHormone

Abstract

fetched live from OpenAlex

Growing dominant follicles at the time of selection from aged (n = 3; 15 ± 1.5 years) and young (n = 3; 6 ± 1.1 years) Hereford cows were compared using bovine-specific microarrays containing 40 000 targets. The objective of the study was to determine age-associated changes in transcriptome of granulosa cells at the time of dominant follicle selection. Cows were given prostaglandin F2a to cause ovulation (Day 0) and granulosa cells from dominant follicles were collected on Day 3 either by ultrasound-guided follicle aspiration or after ovariectomy. The mRNA was extracted, analyzed for quality, converted into antisense RNA, amplified, labelled with red and green florescent dyes, and hybridized with microarrays. Feature intensities were measured using Array-Pro software (Media Cybernetics Inc., Rockville, MD), and differentially expressed genes were obtained using FlexArray 1.6. A total of 169 transcripts were differentially expressed with a fold change of =2 (P = 0.05) in aged cows v. young cows. Ingenuity System Pathway (IPA; Ingenuity Systems Inc., Redwood City, CA) analysis of these transcripts revealed that granulosa cells of aged cows exhibit (1) reduced capability to regulate gonadotropins [?follistatin (FST), ?inhibin beta A (INHBA), ?inhibin beta B (INHBB)] and reduced responsiveness to gonadotropin-induced changes in cytoskeleton [?tropomyosin 2 (TPM2), ?actin gamma 2 (ACTG2), ?tubulin beta] and extracellular matrix [?tumor necrosis factor alpha-induced protein 6 (TNFAIP6), ?versican (VCAN)], (2) inefficiency in processing lipids [?low-density lipoprotein receptor (LDLR), ?stearoyl-coenzyme A desaturase (SCD), ?cluster of differentiation 36 (CD36), ?sterol-C4-methyl oxidase-like (SC4MOL)] and synthesizing steroids [?cytochrome P450, family 19, subfamily A, polypeptide 1 (CYP19A1), ?cytochrome P450, family 51, subfamily A, polypeptide 1 (CYP51A1)], (3) decreased proliferation [?proliferating cell nuclear antigen (PCNA)] and control of cell cycle check points [?checkpoint kinase 1 (CHEK1), ?centromere-associated protein E (CENPE)] and have poor intercellular communication [?gap junction protein alpha 1 (GJA1)], and (4) higher expression of oxidative stress responsive genes [?vanin-1 (VNN1), ?vanin-2 (VNN2), and ?glutathione peroxidase 3 (GPX3)]. A total of 6 transcripts: CYP19A1 (aromatase; P = 0.1), VNN1 (P = 0.05), INHBA (P = 0.1), PCNA (P = 0.001), TPM2 (P = 0.1), and GJA1 (P = 0.05) were selected to validate the microarray results via quantitative real-time PCR. In conclusion, granulosa cells of growing dominant follicles exhibit age-related changes in the transcriptome at the time of selection relative to young cows; changes that may explain follicle-associated loss of oocyte competence in aged cows. Research was supported by the Natural Sciences and Engineering Research Council of Canada (Ottawa, ON, Canada).

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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