Phosphorylation of nuclear phospholipase C beta1 by extracellular signal-regulated kinase mediates the mitogenic action of insulin-like growth factor I

It is well established that a phosphoinositide (PI) cycle which is operationally distinct from the classical plasma membrane PI cycle exists within the nucleus, where it is involved in both cell proliferation and differentiation. However, little is known about the regulation of the nuclear PI cycle. Here, we report that nucleus-localized phospholipase C (PLC) beta1, the key enzyme for the initiation of this cycle, is a physiological target of extracellular signal-regulated kinase (ERK). Stimulation of Swiss 3T3 cells with insulin-like growth factor I (IGF-I) caused rapid nuclear translocation of activated ERK and concurrently induced phosphorylation of nuclear PLC beta1, which was completely blocked by the MEK inhibitor PD 98059. Coimmunoprecipitation detected a specific association between the activated ERK and PLC beta1 within the nucleus. In vitro studies revealed that recombinant PLC beta1 could be efficiently phosphorylated by activated mitogen-activated protein kinase but not by PKA. The ERK phosphorylation site was mapped to serine 982, which lies within a PSSP motif located in the characteristic carboxy-terminal tail of PLC beta1. In cells overexpressing a PLC beta1 mutant in which serine 982 is replaced by glycine (S982G), IGF-I failed to activate the nuclear PI cycle, and its mitogenic effect was also markedly attenuated. Expression of S982G was found to inhibit ERK-mediated phosphorylation of endogenous PLC beta1. This result suggests that ERK-evoked phosphorylation of PLC beta1 at serine 982 plays a critical role in the activation of the nuclear PI cycle and is also crucial to the mitogenic action of IGF-I.     

Post blocking gone too far! Recovery of information and spatial analysis in field experiments

Federer (1998, Biometrics 54, 471-481) presents two analyses of field data in which high-order polynomials are fitted as random regressions to remove spatial variation. We challenge the justification of this approach and suggest some alternatives.     

Protein kinase C alpha -mediated negative feedback regulation is responsible for the termination of insulin-like growth factor I-induced activation of nuclear phospholipase C beta1 in Swiss 3T3 cells

Previous studies from several independent laboratories have demonstrated the existence of an autonomous phosphoinositide (PI) cycle within the nucleus, where it is involved in both cell proliferation and differentiation. Stimulation of Swiss 3T3 cells with insulin-like growth factor-I (IGF-I) has been shown to induce a transient and rapid increase in the activity of nuclear-localized phospholipase C (PLC) beta1, which in turn leads to the production of inositol trisphosphate and diacylglycerol in the nucleus. Nuclear diacylglycerol provides the driving force for the nuclear translocation of protein kinase C (PKC) alpha. Here, we report that treatment of Swiss 3T3 cells with Go6976, a selective inhibitor of PKC alpha, caused a sustained elevation of IGF-I-stimulated nuclear PLC activity. A time course study revealed an inverse relationship between nuclear PKC activity and the activity of nuclear PLC in IGF-I-treated cells. A time-dependent association between PKC alpha and PLC beta1 in the nucleus was also observed following IGF-I treatment. Two-dimensional phosphopeptide mapping and site-directed mutagenesis demonstrated that PKC promoted phosphorylation of PLC beta1 at serine 887 in the nucleus of IGF-I-treated cells. Overexpression of either a PLC beta1 mutant in which the PKC phosphorylation site Ser(887) was replaced by alanine, or a dominant-negative PKC alpha, resulted in a sustained activation of nuclear PLC following IGF-I stimulation. These results indicate that a negative feedback regulation of PLC beta1 by PKC alpha plays a critical role in the termination of the IGF-I-dependent signal that activates the nuclear PI cycle.     

Asthma and PM10

PM₁₀ (the mass of particles present in the air having a 50% cutoff for particles with an aerodynamic diameter of 10 μm) is the standard measure of particulate air pollution used worldwide. Epidemiological studies suggest that asthma symptoms can be worsened by increases in the levels of PM₁₀. Epidemiological evidence at present indicates that PM₁₀ increases do not raise the chances of initial sensitisation and induction of disease, although further research is warranted. PM₁₀ is a complex mixture of particle types and has many components and there is no general agreement regarding which component(s) could lead to exacerbations of asthma. However pro-inflammatory effects of transition metals, hydrocarbons, ultrafine particles and endotoxin, all present to varying degrees in PM₁₀, could be important. An understanding of the role of the different components of PM₁₀ in exacerbating asthma is essential before proper risk assessment can be undertaken leading to advice on risk management for the many asthmatics who are exposed to air pollution particles.     

Evaluation of MALDI-TOF mass spectroscopy methods for determination of Escherichia coli pathotypes

It is rapidly becoming apparent that many E. coli pathotypes cause a considerable burden of human disease. Surveillance of these organisms is difficult because there are few or no simple, rapid methods for detecting and differentiating the different pathotypes. MALDI-TOF mass spectroscopy has recently been rapidly and enthusiastically adopted by many clinical laboratories as a diagnostic method because of its high throughput, relatively low cost, and adaptability to the laboratory workflow. To determine whether the method could be adapted for E. coli pathotype differentiation the Bruker Biotyper methodology and a second methodology adapted from the scientific literature were tested on isolates representing eight distinct pathotypes and two other groups of E. coli. A total of 136 isolates was used for this study. Results confirmed that the Bruker Biotyper methodology that included extraction of proteins from bacterial cells was capable of identifying E. coli isolates from all pathotypes to the species level and, furthermore, that the Bruker extraction and MALDI-TOF MS with the evaluation criteria developed in this work was effective for differentiating most pathotypes.