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MK5 and ERK3 play overlapping but distinct roles in regulating cardiac fibroblast function

2018· article· en· W3175668895 on OpenAlexafffundabout
Pramod Sahadevan, Sherin A. Nawaito, Angelo Calderone, Matthias Gaestel, Bruce G. Allen

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsMontreal Heart Institute
FundersHeart and Stroke Foundation of Canada
KeywordsFibroblastKinaseProtein kinase ACell biologyChemistryMolecular biologyBiologyBiochemistryIn vitro

Abstract

fetched live from OpenAlex

Background and objectives Immunoreactivity for MAP kinase‐activated protein kinase‐5 (MK5), a protein serine/threonine kinase, is detected in cardiac ventricular fibroblasts but not myocytes. p38 and ERK3/4 MAP kinases are activators of MK5. However, the regulation of MK5 remains controversial and its physiological functions are poorly understood. Following hemodynamic overload, the increase in collagen mRNA was attenuated in ERK3 and MK5 haploinsufficient mice. In addition, following myocardial infarction, scar size and collagen content were reduced in MK5 +/− mice, compared with MK5 +/+ mice. In addition, MK5 −/− fibroblasts show reduced motility and proliferation. Thus, MK5 may play a role in fibroblast function. The present study was to examine the role of ERK3, a putative activator of MK5, in cardiac fibroblast function. Methods Cardiac ventricular fibroblasts were isolated from MK5 +/+ mice and male Sprague‐Dawley rats. Subconfluent cultures of fibroblasts from passages 2 and 3 were used. Ventricular myocytes were prepared from adult MK5 +/+ mice. Protein expression was determined by immunoblotting. The presence of ERK3‐MK5 complexes was determined by proximity ligation assay (PLA) and co‐immunoprecipitation assays. Cell motility and myofibroblast contraction were studied by scratch‐wound and collagen gel contraction assays, respectively. Results siRNA‐mediated knockdown of MK5 (MK5‐kd) resulted in reduced contraction of collagen gels, reduced cell spreading, and formation of fewer dendritic extensions compared to fibroblasts transfected with scrambled RNA. ERK3 immunoreactivity was detected in fibroblasts but negligible in cardiomyocytes. MK5 immunoprecipitates from fibroblast lysates contained ERK3 immunoreactivity. Proximity ligation assays revealed ERK3‐MK5 complexes in the cytoplasm, which were less abundant following knockdown of MK5. ERK3‐MK5 complexes were not observed in the nucleus. Cell migration, in response to serum and/or angiotensin II, was reduced upon siRNA‐mediated knockdown of ERK3. However, whereas the secretion of type 1 collagen and fibronectin was increased in MK5 −/− or MK5‐kd cells relative to MK5 +/+ fibroblasts, knocking down ERK3 did not affect collagen secretion. Conclusion MK5 and ERK3 immunoreactivity was detected in fibroblasts but not myocytes. Co‐immunoprecipitation and PLA suggest that ERK3 and MK5 form cytoplasmic complexes in cardiac fibroblasts. Suppressing ERK3 or MK5 expression decreased cell motility; however, type 1 collagen secretion was enhanced by reduced MK5 expression but unaffected by knockdown of ERK3. Hence, MK5 and ERK3 play overlapping but distinct roles in regulating cardiac fibroblast function. Support or Funding Information This study was supported by a grant from the Heart and Stroke Foundation of Canada. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.001
Threshold uncertainty score0.005

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)0.0010.000

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 head0.009
GPT teacher head0.212
Teacher spread0.203 · 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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Citations0
Published2018
Admission routes3
Has abstractyes

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