Regulation of Gβγi-Dependent PLC-β3 Activity in Smooth Muscle: Inhibitory Phosphorylation of PLC-β3 by PKA and PKG and Stimulatory Phosphorylation of Gαi-GTPase-Activating Protein RGS2 by PKG

Nalli, Ancy D.; Kumar, Divya P.; Al‐Shboul, Othman; Mahavadi, Sunila; Kuemmerle, John F.; Grider, John R.; Murthy, Karnam S.

doi:10.1007/s12013-014-9992-6

Cited by 30 publications

(24 citation statements)

References 59 publications

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“…Thus, it is possible that vasodilators that act through the cAMP-PKA signaling cascade, could act, in part, by inhibition of IP 3 R function in vascular SMCs. Increased cAMP-PKA activity also can inhibit the production of IP 3 via inhibition of PLCs (4, 1051). This would indirectly inhibit Ca 2+ release through IP 3 Rs.…”

Section: Inositol-145-triphosphate Receptorsmentioning

confidence: 99%

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Smooth Muscle Ion Channels and Regulation of Vascular Tone in Resistance Arteries and Arterioles

Tykocki

Boerman

Jackson

2017

Comprehensive Physiology

282

347

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Vascular tone of resistance arteries and arterioles determines peripheral vascular resistance, contributing to the regulation of blood pressure and blood flow to, and within the body’s tissues and organs. Ion channels in the plasma membrane and endoplasmic reticulum of vascular smooth muscle cells (SMCs) in these blood vessels importantly contribute to the regulation of intracellular Ca2+ concentration, the primary determinant of SMC contractile activity and vascular tone. Ion channels provide the main source of activator Ca2+ that determines vascular tone, and strongly contribute to setting and regulating membrane potential, which, in turn, regulates the open-state-probability of voltage gated Ca2+ channels (VGCCs), the primary source of Ca2+ in resistance artery and arteriolar SMCs. Ion channel function is also modulated by vasoconstrictors and vasodilators, contributing to all aspects of the regulation of vascular tone. This review will focus on the physiology of VGCCs, voltage-gated K+ (KV) channels, large-conductance Ca2+-activated K+ (BKCa) channels, strong-inward-rectifier K+ (KIR) channels, ATP-sensitive K+ (KATP) channels, ryanodine receptors (RyRs), inositol 1,4,5-trisphosphate receptors (IP3Rs), and a variety of transient receptor potential (TRP) channels that contribute to pressure-induced myogenic tone in resistance arteries and arterioles, the modulation of the function of these ion channels by vasoconstrictors and vasodilators, their role in the functional regulation of tissue blood flow and their dysfunction in diseases such as hypertension, obesity, and diabetes.

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Section: Inositol-145-triphosphate Receptorsmentioning

confidence: 99%

“…10). The cGMP-PKG signaling pathway also can inhibit formation of IP 3 via PLCs to inhibit Ca 2+ release through IP 3 Rs (4, 1051). …”

Section: Inositol-145-triphosphate Receptorsmentioning

confidence: 99%

Smooth Muscle Ion Channels and Regulation of Vascular Tone in Resistance Arteries and Arterioles

Tykocki

Boerman

Jackson

2017

Comprehensive Physiology

282

347

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“…Feedback Control of Second Messengers Signaling Systems in White Adipose Tissue Adipocytes… http://dx.doi.org/10.5772/intechopen.75703 2.2.1. Ca 2+ /phospholipase C/IP3/IP3R/Ca 2+ positive feedback signaling systemNumerous external signals, by stimulating Gq proteins and tyrosine kinase (TK) coupled receptors, result in the formation of IP3 by various isoforms of phospholipase C (PLC)[24,25,38] with subsequent activation of IP3R-channels and rise of Ca 2+ in the cytoplasm via CICR mechanism:…”

mentioning

confidence: 99%

Feedback Control of Second Messengers Signaling Systems in White Adipose Tissue Adipocytes in Healthy State and Its Loss at Adiposity

Дынник¹,

Grishina²,

Сирота³

et al. 2018

Adipose Tissue

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Second messengers Ca 2+ , IP3, cAMP, NO, cGMP, and cADP ribose are incorporated as obligatory elements into multivariable Ca 2+-signaling system, which integrates incoming signals of hormones and neurotransmitters in white adipocytes. This cross-controlled system includes two robust generators (RGs) of rhythmic processes, involving phospholipase C-and NO-synthase-dependent signaling networks (PLC-RG and NOS-RG). Multi-loop positive feedback control of both RGs provides their robustness, multistability, signaling interplay, and extreme sensitivity to the alterations of incoming signals of acetylcholine, norepinephrine, insulin, cholecystokinin, atrial natriuretic peptide, bradykinin, and so on. Hypertrophy of cultured adipocytes and of mature cells, isolated from epididymal white adipose tissue (eWAT), results in the loss of rhythmicity and development of general hormonal signaling resistance. Preadipocytes isolated from eWAT of obese mice cannot grow and accumulate lipids in the media devoid of fatty acids. However, even low concentrations of palmitoylcarnitine in the media (1 μM) may result in drastic suppression of mRNA expressions of the proteins of Ca 2+-signaling system, especially of NOS-RG. Similar alterations of gene expression are observed in eWAT and liver at adiposity. All this may indicate on universal background pathogenic mechanisms. Treatment modalities, which may help to restore deregulation of Ca 2+-signaling system and corresponding tissues dysfunction, are discussed briefly.

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“…Inhibition of phosphoinositide (PI) hydrolysis in smooth muscles is done via phosphorylation of RGS2 by PRKG and its association with Gα-GTP subunit of G proteins. In fact, PRKG over-activates RGS2 to accelerate Gα-GTPase activity and enhance Gαβγ (complete G protein) trimer formation (56). Consequently, there would be a possibility that Src can induce RGS2 protein activity regarding the edge information in pathway 7.…”

Section: Discussionmentioning

confidence: 99%

Pathway mining in functional genomics: An integrative approach to delineate boolean relationships between Src and its targets

Piran

Fernandes

Sepahi

et al. 2020

Preprint

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In recent years the volume of biological data has soared. Parallel to this growth, the need for developing data mining strategies has not met sufficiently. Bioinformaticians utilize different data mining techniques to obtain the required information they need from genomic, transcriptomic and proteomic databases to construct a gene regulatory network (GNR). One of the simplest mining approaches to construct a GNR is reading a great number of papers to configure a large network (for instance, a network with 50 nodes and 200 edges) which takes a lot of time and energy. Here we introduce an integrative method that combines information from transcriptomic data with sets of constructed pathways. A program was written in R that makes pathways from edgelists in different signaling databases. Furthermore, we explain how to distinguish false pathways from the correct ones using literature study or incorporating the biological information with gene expression results.This approach can help bioinformaticians and mathematical biologists who work with GRNs when they want to infer causal relationships between components of a biological system. Once you know which direction to go, you will reduce the number of false results.

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Regulation of Gβγi-Dependent PLC-β3 Activity in Smooth Muscle: Inhibitory Phosphorylation of PLC-β3 by PKA and PKG and Stimulatory Phosphorylation of Gαi-GTPase-Activating Protein RGS2 by PKG

Cited by 30 publications

References 59 publications

Smooth Muscle Ion Channels and Regulation of Vascular Tone in Resistance Arteries and Arterioles

Smooth Muscle Ion Channels and Regulation of Vascular Tone in Resistance Arteries and Arterioles

Feedback Control of Second Messengers Signaling Systems in White Adipose Tissue Adipocytes in Healthy State and Its Loss at Adiposity

Pathway mining in functional genomics: An integrative approach to delineate boolean relationships between Src and its targets

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