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Abstract 12802: Intron-Mediated Enhancement of <i>Titin</i> ( <i>TTN</i> ) Regulates Sarcomere Formation and Function

2021· article· en· W3217725760 on OpenAlexaff
Yuri Kim, Seong Won Kim, Meraj Neyazi, Manuel Schmid, Justin H. Letendre, Jourdan K. Ewoldt, Feng Xiao, Paige E. Cloonan, Arun Sharma, Lauren K. Wasson, Christopher N. Toepfer, Angela C. Tai, Joshua Gorham, Gavin Y. Oudit, William T. Pu, Diane E. Dickel, Christopher S. Chen, Christine E. Seidman, Jonathan G. Seidman

Bibliographic record

VenueCirculation · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEnhancerSarcomereTitinMef2Transcription factorCell biologyBiologyInduced pluripotent stem cellEnhancer RNAsGene expressionMolecular biologyGeneGeneticsMyocyteEmbryonic stem cell

Abstract

fetched live from OpenAlex

Background: Heterozygous truncating variants in the sarcomere protein titin (TTN) are the most common genetic cause of heart failure, a major cause of morbidity and mortality. This causality indicates that even two-fold changes in the amount of TTN can profoundly disturb cardiac physiology. Although a critical role of TTN in sarcomere formation and cardiomyocyte contractility is well established, the mechanisms regulating transcription of the TTN gene remain poorly understood. Methods: We performed bioinformatics analysis to identify a putative transcriptional enhancer of TTN . Next, we created biallelic deletion of the enhancer in human induced pluripotent stem cell derived cardiomyocytes and performed enhancer reporter assays both in vitro and in vivo to demonstrate necessity and sufficiency of the enhancer in TTN gene expression, respectively. Furthermore, we performed massive parallel reporter assay to define critical transcriptional factors of the TTN enhancer activity and analyzed whole genome sequencing (WGS) data of human patients with unexplained dilated cardiomyopathy (DCM). Results: We identified an intron mediated enhancer that promotes cardiac-specific TTN expression. Global deletion of this element downregulated TTN expression in cardiomyocytes and impaired sarcomere development, while transgenic expression promoted cardiac expression in mice. Using mutational scanning we defined key transcription factor binding sites, including NKX2-5 and MEF2 motifs that promote TTN expression in cardiomyocytes. Consistent with these functions, analyses of WGS data in 69 patients with unexplained DCM revealed one rare variant that disrupted the conserved MEF2 transcriptional factor binding motif. Conclusions: Discovery of a TTN enhancer advances our understanding of cardiomyocyte development, provides an opportunity to modulate TTN transcriptional activity, and ultimately develop therapeutic strategies to treat dilated cardiomyopathy caused by TTN haploinsufficiency.

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 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.248
Teacher spread0.237 · 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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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