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Abstract 17551: Mapping the Interactome of FLNC in Restrictive Cardiomyopathy

2023· article· en· W4389945132 on OpenAlexaff
Bryan Wang, Xiaokan Zhang, Lori Luo, Margaretha Morsink, Jenny Rao, Gordana Vunjak‐Novakovic, Barry Fine

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsColumbia College
Fundersnot available
KeywordsMolecular biologyInduced pluripotent stem cellBiologyCell biologyGeneticsGene

Abstract

fetched live from OpenAlex

Introduction: Filamin C (FLNC) is an actin crosslinking protein that organizes structural components of the sarcomere and signal transduction complexes. Human mutations in FLNC have been linked to dilated, hypertrophic and restrictive cardiomyopathies. The mechanism connecting mutations in FLNC to sarcomeric impairment remains undefined. We recently reported the ability to model FLNC cardiomyopathy using induced pluripotent stem cell (iPSC) derived engineered heart tissue. Here, we employ a knock-in approach to epitope tag endogenous alleles in iPSC derived cardiomyocytes to explore FLNC genotype-interactome relationships using affinity purification mass spectrometry. Methods: An iPSC line was generated from a patient with restrictive cardiomyopathy caused by an insertion deletion mutation in the ROD2 domain FLNC (c.7416_7418delGAA, p.Glu2472_Asn2473delinAsp). CRISPR-Cas9 was used to establish a corrected cell line as a wild type control. 3X-Flag motif was introduced to the N terminus of FLNC using CRISPR-Cas9. iPSCs were then differentiated into cardiomyocytes using standard techniques. Affinity purification mass spectrometry (AP-MS) was performed using the Flag epitope. Interaction data was analyzed using Perseus software. Gene ontology (GO) enrichment analysis was performed using ToppFun. Results: 3X-Flag insertion was confirmed using genomic sequencing. AP-MS identified 281 high confidence interactors of mutant FLNC and 208 interactors of wild type FLNC (FDR 0.01, log2FC >1.5) when compared to IgG controls. Interestingly, 161 proteins were shared between the two genotypes. These were enriched in mitochondrial ribosomal proteins and phosphorylase kinase subunits, potentially revealing an unknown role of FLNC in mitochondria translation and metabolism. Thirty-three proteins were significantly differentially bound to mutant FLNC protein, including tropomyosin 4, caldesmon 1, and filamin A (FDR <0.05, log2FC>1). GO analysis of these proteins revealed enrichment of actin cytoskeleton elements, muscle contraction, and muscle system processes. Conclusions: Human mutations in FLNC lead to disruption of key protein interactions, revealing a potential mechanism for disease pathogenesis in FLNC cardiomyopathy.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.058
GPT teacher head0.294
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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