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Record W4415628424 · doi:10.1016/j.jare.2025.10.062

Vinculin mediates a dynamic signal flow underlying cardiac outflow tract development as revealed by single-cell and spatial transcriptomic analysis

2025· article· en· W4415628424 on OpenAlexaff
Reeson Xu Wang, Xixin Wang, Yan Pan, Zhixin Li, Chi‐chung Hui, Kyoung-Han Kim, Asif Javed, Esw Ngan

Bibliographic record

VenueJournal of Advanced Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsUniversity of OttawaHospital for Sick Children
FundersHong Kong GovernmentUniversity of Hong KongResearch Grants Council, University Grants Committee
KeywordsVinculinOutflowTranscriptomeSIGNAL (programming language)Signal transductionLineage (genetic)Myocyte

Abstract

fetched live from OpenAlex

INTRODUCTION: Cardiac outflow tract (OFT) development relies on the interactions among cardiac neural crest cells (CNCC) and the second heart field (SHF) cells. However, the molecular signals underlying these interactions remain largely unclear. OBJECTIVES: Vinculin (VCL) is an adaptor protein for focal adhesions, which integrates various external signals and mediates cell-cell communications, representing a potential hub gene directing the OFT development. Here, we aimed to build a holistic map of signal flows underlying CNCC-directed OFT development using neural crest-specific Vcl knockout mouse mutants (Vcl cKO). METHODS: We validated the OFT defects of Vcl cKO mutants by performing various immunohistochemistry analyses. Subsequent high-resolution transcriptomic analysis reconstructed the differentiation trajectory of CNCCs along the vascular smooth muscle (VSMC) lineage. The spatial RNA-seq further aligned the transcriptomes of OFT cells with their spatial patterns to explore the cell interaction dynamics among OFT cells. Exploiting human pluripotent stem cell (hPSC)-based in vitro differentiation assays, the signaling pathways underlying Vcl-mediated CNCC progression along the VSMC lineage were defined. RESULTS: Vcl cKO exhibited malformation of pharyngeal arch arteries, OFT septation defects and hyperplastic semilunar valves, due to defects in migration and vascular smooth muscle (VSMC) lineage differentiation of CNCCs, which prohibited the subsequent myocardialization, perturbing the OFT and valve remodeling. High-resolution transcriptomic analysis revealed that CNCC-to-VSMC differentiation is orchestrated by Vcl-dependent p38 and Tgf-β signalings. Multimodal analysis integrating the single-cell and spatial transcriptomes of OFT cells further suggested a shift of signal flow among OFT cells and loss of cell-extracellular matrix interaction perturb OFT morphogenesis. CONCLUSION: In sum, dynamic signal flows among CNCC and SHF cells guide OFT remodeling, in which p38-Tgf-β signaling mediates the VSMC lineage differentiation of CNCCs, and timely regulates their interactions with SHF-derived cells through ECM.

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 score0.091
Threshold uncertainty score0.706

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 head0.021
GPT teacher head0.347
Teacher spread0.326 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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