2010
DOI: 10.1074/jbc.m110.136176
|View full text |Cite
|
Sign up to set email alerts
|

Functional Divergence of Platelet Protein Kinase C (PKC) Isoforms in Thrombus Formation on Collagen

Abstract: Arterial thrombosis, a major cause of myocardial infarction and stroke, is initiated by activation of blood platelets by subendothelial collagen. The protein kinase C (PKC) family centrally regulates platelet activation, and it is becoming clear that the individual PKC isoforms play distinct roles, some of which oppose each other. Here, for the first time, we address all four of the major platelet-expressed PKC isoforms, determining their comparative roles in regulating platelet adhesion to collagen and their … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

6
114
0
1

Year Published

2011
2011
2023
2023

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 98 publications
(121 citation statements)
references
References 55 publications
6
114
0
1
Order By: Relevance
“…Looking further downstream (Figure 13), in HG-and collagen-stimulated platelets, PKCα, PKCβII, and PKCδ were translocated from cytosol to membrane, with concomitant increase in their phosphorylated forms, thus supporting a role of PKCα, PKCβII, and PKCδ in this process. These findings are also supported by previous studies that demonstrate PKCα, PKCβII, and PKCδ as playing a crucial role in collagen-induced platelet aggregation (21,22). Thus, a complex web of signaling components is involved in platelet activation upon exposure to collagen and hyperglycemia ( Figure 13).…”
Section: Discussionsupporting
confidence: 78%
See 1 more Smart Citation
“…Looking further downstream (Figure 13), in HG-and collagen-stimulated platelets, PKCα, PKCβII, and PKCδ were translocated from cytosol to membrane, with concomitant increase in their phosphorylated forms, thus supporting a role of PKCα, PKCβII, and PKCδ in this process. These findings are also supported by previous studies that demonstrate PKCα, PKCβII, and PKCδ as playing a crucial role in collagen-induced platelet aggregation (21,22). Thus, a complex web of signaling components is involved in platelet activation upon exposure to collagen and hyperglycemia ( Figure 13).…”
Section: Discussionsupporting
confidence: 78%
“…Since the subcellular translocation of PKCα, PKCβII, and PKCδ was prevented by AR inhibitor, we next determined whether inhibition of AR prevents the phosphorylation of PKCα, PKC βII, and PKCδ by using phosphospecific antibodies that correlate with kinase activity in total extracts. Consistent with the previous genetic knockout and inhibitor studies on the role of PKC isoforms in platelet aggregation (21,22), the phosphorylation of different PKC isoforms was in line with the findings in their translocation (Supplemental Figure 4), indicating that PKCα, PKCβII, and PKCδ translocation from cytoplasm to membrane and phosphorylation are required for collagen-induced aggregation. In addition, these results suggest that HG potentiates the activation of PKCβII and PKCδ similarly to the effect of collagen in an AR-dependent manner.…”
Section: Figuresupporting
confidence: 78%
“…In contrast, treating platelets with an inhibitor of novel PKC isoforms appears to suppress the Ca 2+ signals elicited by ADP and thrombin. Interestingly, previous work has demonstrated that collagen-evoked Ca 2+ signalling in human platelets is negatively regulated by novel PKC isoforms and positively regulated by conventional PKC isoforms [44]. An agonist-specific effect of isoform-selective PKC inhibition has also been reported for platelet dense granule secretion [45].…”
Section: Discussionmentioning
confidence: 98%
“…Thrombus Formation on Collagen under Flow-Collagen-induced thrombus formation was assayed as described before (20,31). In brief, PPACK/fragmin-anticoagulated mouse blood was flowed over a coverslip coated with collagen type I in a transparent parallel-plate perfusion chamber, at shear rate of 1000 s Ϫ1 for 4 min.…”
Section: Methodsmentioning
confidence: 99%