17 resultados para Electrophoresis of LPS
Resumo:
MEKK2 is an evolutionarily conserved mitogen-activated protein kinase (MAPK) kinase kinase (MAP3K) that controls the MAPK and IKK-NF-κB pathways. The MAPK and IKK pathways are intracellular signaling networks that are crucial for the Toll-like receptor (TLR) mediated innate immunity, cellular stress and many other physiological responses. Members of the MAP3K family are central to the activation of these processes. However, the molecular mechanisms underlying stimuli-mediated MAP3K activation remain largely unknown. In this study, we identified a key phosphoserine residue, Ser-519 in MEKK2, and its equivalent site Ser-526 in MEKK3 within their activation loop whose phosphorylation are essential for their optimal activation. Mutation of this regulatory serine to an alanine severely impaired MEKK2 activation and MEKK2 signaling to its downstream targets. To demonstrate that physiological stimuli induce this serine phosphorylation, we generated an antibody that specifically recognizes the phosphorylated serine residue. We found that many, but not all, of the MAPK agonists, including the TLR ligands, growth factors, cytokines and cellular stresses, induced this regulatory serine phosphorylation in MEKK2, suggesting an involvement of MEKK2 in the activation of the MAPK cascade leading to different cellular responses. We further investigated the specific role of MEKK2 in LPS/TLR4 signaling by using MEKK2−/− mice. We found that MEKK2 was selectively required for LPS-induced ERK1/2 activation, but not JNK, p38 or NF-κB activation. We also found that MEKK2 was involved in TLR4 dependent induction of proinflammatory cytokines and LPS-induced septic shock. In conclusion, we identified a key regulatory serine residue in the activation loop of MEKK2 whose phosphorylation is a key sensor of receptor- and cellular stress-mediated signals. We also demonstrated that MEKK2 is crucial for TLR4-mediated innate immunity. ^
Resumo:
Background. Pulsed-field gel electrophoresis (PFGE) is a laboratory technique in which Salmonella DNA banding patterns are used as molecular fingerprints for epidemiologic study for "PFGE clusters". State and national health departments (CDC) use PFGE to detect clusters of related cases and to discover common sources of bacteria in outbreaks. ^ Objectives. Using Houston Department of Health and Human Services (HDHHS) data, the study sought: (1) to describe the epidemiology of Salmonella in Houston, with PFGE subtype as a variable; and (2) to determine whether PFGE patterns and clusters detected in Houston were local appearances of PFGE patterns or clusters that occurred statewide. ^ Methods. During the years 2002 to 2005, the HDHHS collected and analyzed data from routine surveillance of Salmonella. We implemented a protocol, between May 1, 2007 and December 31, 2007, in which PFGE patterns from local cases were sent via e-mail to the Texas Department of State Health Services, to verify whether the local PFGE patterns were also part of statewide clusters. PFGE was performed from 106 patients providing a sample from which Salmonella was isolated in that time period. Local PFGE clusters were investigated, with the enhanced picture obtained by linking local PFGE patterns to PFGE patterns at the state and national level. ^ Results. We found that, during the years 2002 to 2005, there were 66 PFGE clusters, ranging in size from 2 to 22 patients within each cluster. Between different serotypes, there were marked differences in the sizes of PFGE clusters. A common source or risk factor was found in fewer than 5 of the 66 PFGE clusters. With the revised protocol, we found that 19 of 66 local PFGE patterns were indistinguishable from PFGE patterns at Texas DSHS. During the eight months, we identified ten local PFGE clusters with a total of 42 patients. The PFGE pattern for eight of the ten clusters matched the PFGE patterns for cases reported to Texas DSHS from other geographic areas. Five of the ten PFGE patterns matched PFGE patterns for clusters under investigation at PulseNet at the national level. HDHHS epidemiologists identified a mode of transmission in two of the ten local clusters and a common risk factor in a third local cluster. ^ Conclusion. In the extended-study protocol, Houston PFGE patterns were linked to patterns seen at the state and national level. The investigation of PFGE clusters was more efficacious in detecting a common transmission when local data were linked to state and national data. ^