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Record W4200329405 · doi:10.1016/j.dib.2021.107736

The comprehensive transcriptome of human ductus arteriosus smooth muscle cells (hDASMC)

2021· article· en· W4200329405 on OpenAlexaff
R. E. Bentley, Charles C.T. Hindmarch, Kimberly J. Dunham‐Snary, Brooke Snetsinger, Jeffrey Mewburn, Arthur Thébaud, Patrícia Lima, Bernard Thébaud, Stephen L. Archer

Bibliographic record

VenueData in Brief · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsUniversity of OttawaOttawa HospitalChildren's Hospital of Eastern OntarioQueen's University
FundersNational Heart, Lung, and Blood Institute
KeywordsDuctus arteriosusPulmonary arteryConstrictionHypoxia (environmental)In uteroTranscriptomePopulationFetusOxygen deliveryBiologyAortaCardiologyInternal medicineMedicineAndrologyChemistryOxygenGene expressionGeneBiochemistryPregnancy

Abstract

fetched live from OpenAlex

The Ductus Arteriosus (DA) is a fetal vessel that connects the aorta to the pulmonary artery ensuring that placental oxygenated blood is diverted from the lungs to the systemic circulation. Following exposure to oxygen (O2), in the first few days of life, the DA responds with a functional closure that is followed by anatomical closure. Here, we study human DA smooth muscle cells (DASMC) taken from 10 term infants during congenital heart surgery. Purification of these cells using flow cytometry ensured a pure population of DASMCs, which we confirmed as responsive to O2. An oxygen-induced increase in intracellular calcium of 18.1%±4.4% and SMC constriction (-27%±1.5% shortening) occurred in all cell lines within five minutes. These cells were maintained in either hypoxia (2.5% O2), mimicking in utero conditions or in normoxia (19% O2) mimicking neonate conditions. We then used 3’ RNAsequencing to identify the transcriptome of DASMCs in each condition [1]. In this paper, we present the full differentially regulated gene list from this experiment.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.342

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 science0.0010.000
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 head0.039
GPT teacher head0.321
Teacher spread0.283 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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