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Record W2331665610 · doi:10.1021/pr5007685

Proteomic Analysis of Human Fetal Atria and Ventricle

2014· article· en· W2331665610 on OpenAlexafffund
Zhen Qi Lu, Ankit Sinha, Parveen Sharma, Thomas Kislinger, Anthony O. Gramolini

Bibliographic record

VenueJournal of Proteome Research · 2014
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeDepartment of Medical Biophysics, University of TorontoCanadian Institutes of Health ResearchCanada Research ChairsU.S. Department of EnergyHeart and Stroke Foundation of CanadaUniversity of Toronto
KeywordsMYH7VentricleMyosinMyosin light-chain kinaseAtrial natriuretic peptideProteomeCardiac VentricleMYH6Gene isoformChemistryBiologyInternal medicineBiochemistryEndocrinologyMedicineGene

Abstract

fetched live from OpenAlex

In this study we carried out a mass spectrometry-based proteome analysis of human fetal atria and ventricles. Heart protein lysates were analyzed on the Q-Exactive mass spectrometer in biological triplicates. Protein identification using MaxQuant yielded a total of 2754 atrial protein groups (91%) and 2825 ventricular protein groups (83%) in at least 2 of the 3 runs with ≥ 2 unique peptides. Statistical analyses using fold-enrichment (>2) and p-values (≤ 0.05) selected chamber-enriched atrial (134) and ventricular (81) protein groups. Several previously characterized cardiac chamber-enriched proteins were identified in this study including atrial isoform of myosin light chain 2 (MYL7), atrial natriuretic peptide (NPPA), connexin 40 (GJA5), and peptidylglycine alpha-amidating monooxygenase (PAM) for atria, and ventricular isoforms of myosin light chains (MYL2 and MYL3), myosin heavy chain 7 (MYH7), and connexin 43 (GJA1) for ventricle. Our data was compared to in-house generated and publicly available human microarrays, several human cardiac proteomes, and phenotype ontology databases.

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)0.000
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 score0.015
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.048
GPT teacher head0.407
Teacher spread0.359 · 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

Citations37
Published2014
Admission routes2
Has abstractyes

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