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Altered calcineurin‐NFAT signaling in the hearts of NFATc2 null mice

2010· article· en· W105356510 on OpenAlexafffund
Patrick Sin‐Chan, Robin N. Michel

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsNFATCalcineurinTranscription factorGene isoformCell biologyBiologyMolecular biologyGeneticsInternal medicineGeneMedicineTransplantation

Abstract

fetched live from OpenAlex

The Ca 2+ ‐ dependent phosphatase, calcineurin, and its downstream transcriptional effectors, nuclear factor of activated T‐cells (NFAT), are major intracellular modulators of cardiac hypertrophy. Transcription factor NFATc2 has recently been identified as the major NFAT isoform responsible for calcineurin‐mediated cardiac hypertrophy. We thus investigated the role of each NFAT isoform (c1–c4), the NFATc2 binding partner GATA‐4, and NFAT/GATA‐4 kinases in regulating the cardiac phenotype by assessing their expression at the transcript and protein levels in NFATc2 −/− mice. Cardiac mRNA and protein expressions of other members of the NFAT family were similar in wild type and NFATc2−/− mice, suggesting that individual NFAT isoforms are independently regulated. Expression of cytoplasmic GATA‐4 was unchanged whereas nuclear GATA‐4 was higher in hearts from NFATc2 −/− mice, indicating increased nuclear transit of this transcription factor in the absence of NFATc2. In support of this, the expression of MAPK, responsible for GATA‐4 DNA binding ability, remained unchanged whereas GSK3‐β, which promotes GATA‐4 nuclear export, was lower in NFATc2 −/− hearts. Taken together, our data identify molecular partners that may compensate for the lack of NFATc2, thereby providing further insight towards understanding calcineurin‐mediated cardiomyopathy. Supported by CIHR, NSERC and CRC to RNM.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.270

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 science0.0010.000
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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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