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Record W6892260539 · doi:10.5075/epfl-thesis-8400

Co-regulation of endothelial and myogenic cell fates through intercellular crosstalk in skeletal muscle

2021· dissertation· en· W6892260539 on OpenAlexfundno aff

Bibliographic record

VenueInfoscience (Ecole Polytechnique Fédérale de Lausanne) · 2021
Typedissertation
Languageen
FieldMedicine
TopicApelin-related biomedical research
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchNational Institutes of HealthRégion Occitanie Pyrénées-MéditerranéeSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungÉcole Polytechnique Fédérale de LausanneInstitut National de la Santé et de la Recherche MédicaleAgence Nationale de la RechercheStem Cell NetworkNatural Sciences and Engineering Research Council of CanadaUniversité de Sherbrooke
KeywordsSkeletal muscleMyocyteMyokineTSG101Crosstalk

Abstract

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Skeletal muscle is one of the most dynamic organs in the human body, which has a vigorous potential to regenerate and adapt to environmental changes. Depending on environments, skeletal muscle enables essential life activities to survive by controlling movement and metabolism. The functional and structural adaptations of skeletal muscle crosstalk with other physiological systems enabling nutrition and oxygen delivery, and the elimination of metabolic waste products. The work in this dissertation focuses on the intercellular signals produced by myogenic cells to dynamically remodel skeletal muscle during exercise or muscle repair, and the reciprocal signals from the local niche and the systemic environment that regulate myogenic cell fate and metabolism according to physiological needs. This complex crosstalk is dissected in three specific chapters where we study the crosstalk of myogenic cells with endothelial cells and the vasculature to coordinate local niche interactions and systemic crosstalks. First, we demonstrate that an exercise-induced myokine called apelin is produced by muscle fiber and mediates intercellular signaling to endothelial cells through the apelin receptor. In addition, through a yeast one-hybrid screen of transcription factor binding to the apelin promoter, we identified the myogenic transcription factor TEA domain family member 1 (Tead1) as a regulator of Apln transcription. We observed via single-cell transcriptomic analysis of regenerating skeletal muscle that Aplnr (Apelin receptor) is enriched in muscle endothelial cells, whereas Tead1 is enriched in myogenic cells. Myofiber-specific over-expression of Tead1 suppresses apelin secretion at the whole-body level, and apelin secretion via Tead1 knock-down in muscle cells stimulates endothelial cell proliferation in co-cultures. By showing that apelin peptide supplementation in vivo enhances endothelial cell expansion following muscle injury, we conclude that paracrine crosstalk in which apelin secretion controlled by Tead1 in myogenic cells influences endothelial remodeling during skeletal muscle repair. Secondly, we show how tissue-resident support cells affect muscle progenitor activation in different metabolic environments. Skeletal muscle progenitors (SKMP) reside in close proximity to supportive cell types in the stem cell niche and dynamically interact with each other to adapt to environmental changes. Here, we studied how different niche cell types affect SKMPs in response to glycemic levels. Using co-cultures of SKMPs and niche cells, we discovered that endothelial cells synergistically enhance SKMP proliferation in a low glycemic environment, while fibroblasts and macrophages had no effect. We observed that the crosstalk between SKMPs and endothelial cells was mediated by direct cell-cell contacts independent of soluble paracrine signals. Transcriptomic analysis revealed that the endothelial alpha/beta hydrolase N-Myc Downstream Regulated1 (NDRG1) is induced by a low glycemic environment and is associated with biological adhesion. SKMPs co-cultured with Ndrg1 knock-down endothelial cells lose their synergistic functional relationship in response to glucose levels. Therefore, our findings suggest that Ndrg1 is a key mediator of endothelial cell-mediated glycemic control of SKMPs and provides a link between systemic energy levels and the skeletal muscle stem cell niche. Lastly, I developed intravital imaging to monitor muscle stem cells and vasculature.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.318
Teacher spread0.304 · 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.

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
Published2021
Admission routes1
Has abstractyes

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