MétaCan
Menu
Back to cohort
Record W4316038967 · doi:10.1016/j.ygeno.2023.110564

RNA-seq analysis of the active chick embryo chorioallantoic membrane reveals genes that encode proteins assigned to ion transport and innate immunity

2023· article· en· W4316038967 on OpenAlexafffund
Maëva Halgrain, Nelly Bernardet, Christelle Hennequet‐Antier, Maxwell T. Hincke, Sophie Réhault‐Godbert

Bibliographic record

VenueGenomics · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversity of Ottawa
FundersInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementStudium Loire Valley-Institute for Advanced StudiesNatural Sciences and Engineering Research Council of CanadaInfrastructures en Biologie Santé et Agronomie
KeywordsBiologyChorioallantoic membraneGeneCell biologyInnate immune systemEmbryoGeneticsImmune system

Abstract

fetched live from OpenAlex

The chicken chorioallantoic membrane (CAM) is an extraembryonic membrane that is vital for the embryo. It undergoes profound cell differentiation between 11 and 15 days of embryonic incubation (EID), which corresponds to the acquisition of its physiological functions. To gain insight into the functional genes that accompany these biological changes, RNA sequencing of the CAM at EID11 and EID15 was performed. Results showed that CAM maturation coincides with the overexpression of 4225 genes, including many genes encoding proteins involved in mineral metabolism, innate immunity, homeostasis, angiogenesis, reproduction, and regulation of hypoxia. Of these genes, some exhibit variability in expression depending on the chicken breed (broiler versus layer breeds). Besides the interest of these results for the poultry sector, the identification of new functional gene candidates opens additional research avenues in the field of developmental biology.

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)0.000
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 score0.018
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.263
Teacher spread0.247 · 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

Citations8
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueGenomicsSame topicCancer-related molecular mechanisms researchFrench-language works237,207