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When the Tail Wags the Dog: Phosphodiesterase 4D7 Regulation of a cAMP‐signalosome Located at the Rear of Migrating Smooth Muscle Cells Regulates Localized RhoA/ROCK Signaling and Tail Retraction During Migration

2017· article· en· W4389022239 on OpenAlexaffabout
Donald H. Maurice, Tammy K. Truong, Alie Wudwud

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhosphodiesterase function and regulation
Canadian institutionsQueen's University
Fundersnot available
KeywordsPhosphodiesteraseGene isoformCell biologyRHOAVascular smooth muscleCyclic adenosine monophosphateIntracellularBiologyPhosphodiesterase 3ChemistryInternal medicineSignal transductionEndocrinologyBiochemistryGeneEnzymeSmooth muscleReceptorMedicine

Abstract

fetched live from OpenAlex

Inhibiting the maladaptive migration of human arterial smooth muscle cells (HASMCs) in injured blood vessels may help reduce the development of intimal lesions in vascular diseases, including atherosclerosis or restenosis. Agents that act to increase intracellular levels of cyclic adenosine monophosphate (cAMP) impact numerous individual events involved in coordinating HASMC migration. Signaling via cAMP is ubiquitous and dynamic, and requires control through signaling termination mechanisms. cAMP Phosphodiesterase (PDE) enzymes catalyze the hydrolysis of cAMP and are critical in the control of cAMP signaling, most specifically when they regulate cAMP levels within numerous discrete subcellular domains. Through spatial restriction, these enzymes are thought to allow cAMP‐elevating agents to selectively regulate numerous distinct responses. The PDE4D gene family plays a dominant role in cAMP hydrolysis in HASMCs. Considerable interest exists in the idea that the unique N‐terminal domains of the numerous distinct PDE4D isoform variants promotes their spatial restriction in cells, and that this is coordinated through selective interactions of these PDE4Ds with other proteins. This study examined the targeting of individual PDE4D isoforms in HASMCs through the overexpression of GFP constructs containing the unique N‐terminal domains of the PDE4D isoforms (NT‐PDE4D/GFP) known to be expressed endogenously in these cells (PDE4D8, 9, 5, 7). Although transient over‐expression of NT/PDE4D8‐GFP, NT/PDE4D9‐GFP or NT/PDE4D5‐GFP did not significantly impact HASMC morphology or migration character or speed, over‐expression of NT/PDE4D7‐GFP was observed to alter HASMC morphology of migrating HASMCs as well as their migratory velocity. By combining these observations with the effects of selective siRNA‐mediated knockdown of PDE4D7, we established that PDE4D7 is involved in controlling rear retraction in migrating HASMCs. We show that altering PDE4D7 targeting and expression in these cells affects rear retraction largely through its ability to impact RhoA‐ROCK signaling. We also report that PDE4D7 interacts with AKAP5, PKA and EPAC1 in migrating and immotile HASMCs. Our results suggest a functional role for localized PDE4D7 activity in regulating cAMP‐mediated rear retraction in migrating HASMCs, and identify PDE4D7 as a potential therapeutic target in controlling HASMC migration. Support or Funding Information Canadian Institutes of Health Sciences

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.040
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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
Published2017
Admission routes2
Has abstractyes

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