The extracellular proteases produced by <Emphasis Type="Italic">Vibrio parahaemolyticus</Emphasis>

Vibrio parahaemolyticus, a Gram-negative bacterium, inhabits marine and estuarine environments and it is a major pathogen responsible globally for most cases of seafood-associated gastroenteritis in humans and acute hepatopancreatic necrosis syndrome in shrimps. There has been a dramatic worldwide increase in V. parahaemolyticus infections over the last two decades. The pathogenicity of V. parahaemolyticus has been linked to the expression of different kinds of virulence factors including extracellular proteases, such as metalloproteases and serine proteases. V. parahaemolyticus expresses the metalloproteases; PrtV, VppC, VPM and the serine proteases; VPP1/Protease A, VpSP37, PrtA. Extracellular proteases have been identified as potential virulence factors which directly digest many kinds of host proteins or indirectly are involved in the processing of other toxic protein factors. This review summarizes findings on the metalloproteases and serine proteases produced by V. parahaemolyticus and their roles in infections. Identifying the role of V. parahaemolyticus virulence-associated extracellular proteases deepens our understanding of diseases caused by this bacterium.     

The E3 ubiquitin ligase adaptor Ndfip1 regulates Th17 differentiation by limiting the production of proinflammatory cytokines

Ndfip1 is an adaptor for the E3 ubiquitin ligase Itch. Both Ndfip1- and Itch-deficient T cells are biased toward Th2 cytokine production. In this study, we demonstrate that lungs from Ndfip1(-/-) mice showed increased numbers of neutrophils and Th17 cells. This was not because Ndfip1(-/-) T cells are biased toward Th17 differentiation. In fact, fewer Ndfip1(-/-) T cells differentiated into Th17 cells in vitro due to high IL-4 production. Rather, Th17 differentiation was increased in Ndfip1(-/-) mice due to increased numbers of IL-6-producing eosinophils. IL-6 levels in mice that lacked both Ndfip1 and IL-4 were similar to wild-type controls, and these mice had fewer Th17 cells in their lungs. These results indicate that Th2 inflammation, such as that observed in Ndfip1(-/-) mice, can increase Th17 differentiation by recruiting IL-6-producing eosinophils into secondary lymphoid organs and tissues. This may explain why Th17 cells develop within an ongoing Th2 inflammatory response.     

Disruption of the mu-delta opioid receptor heteromer

The crystal structure of the mu and kappa opioid receptors has revealed dimeric structural arrangements. Mu-delta receptors heteromers also exist and we have identified discrete cytoplasmic regions in each receptor required for oligomer formation. In the carboxyl tail of the delta receptor we identified three glycine residues (-GGG), substitution of any of these residues prevented heteromer formation. In intracellular loop 3 of both mu and delta receptors we identified three residues (-SVR), substitution of any of these residues prevented heteromer formation.     

Recruitment of memory B cells to lymph nodes remote from the site of immunization requires an inflammatory stimulus

Successful recall Ab responses require recruitment of quiescent memory B cells to secondary lymphoid organs. However, the cellular dynamics of memory cells responding to local antigenic challenge at lymphoid sites distal from the initial Ag encounter are not well understood. We show in this study that memory B cells generated following s.c. immunization in one footpad generate secondary responses to soluble Ag given i.p. but not to Ag given s.c. in the contralateral footpad unless LPS is coadministered. Memory B cells do not express CD62L, and CD62L(-ve) cells cannot enter lymph nodes unless LPS-mediated inflammation is induced there. Functional TLR4 is required on the B cells, as well as on non-B cells, in the lymph node to achieve full recruitment. Furthermore, splenectomized mice fail to respond to such inflammatory s.c. challenge in contralateral footpads, unlike lymphadenectomized mice lacking the original draining lymph nodes. Splenectomized mice also fail to respond to i.p. challenge with soluble Ag. Together, these data indicate that, unlike the central memory pool of T cells, which circulates through resting lymph nodes, the majority of long-lived memory B cells are spleen resident and require inflammatory signals for mounting recall responses at distal challenge sites.     

Unlocking the potential of metagenomics through replicated experimental design

Metagenomics holds enormous promise for discovering novel enzymes and organisms that are biomarkers or drivers of processes relevant to disease, industry and the environment. In the past two years, we have seen a paradigm shift in metagenomics to the application of cross-sectional and longitudinal studies enabled by advances in DNA sequencing and high-performance computing. These technologies now make it possible to broadly assess microbial diversity and function, allowing systematic investigation of the largely unexplored frontier of microbial life. To achieve this aim, the global scientific community must collaborate and agree upon common objectives and data standards to enable comparative research across the Earth's microbiome. Improvements in comparability of data will facilitate the study of biotechnologically relevant processes, such as bioprospecting for new glycoside hydrolases or identifying novel energy sources.     

3D identification of trabecular bone fracture zone using an automatic image registration scheme: A validation study

Accurate identification of the local fracture zone is an important step towards the failure assessment of trabecular bone. In previous in-vitro studies, local fracture zones were visually identified in micro-CT images by experienced observers. This is a time-consuming and observer-dependent approach and it prevents any large-scale analysis of local trabecular fracture regions. The scope of this study is the application and validation of a new registration scheme for the automatic identification of trabecular bone fracture zones. Six human trabecular specimens were extracted from different anatomical sites. Five specimens were mechanically tested and scanned using micro-CT. For each specimen pre- and post-failure micro-CT datasets were obtained. The sixth specimen was scanned twice without any mechanical compression and was used to test the accuracy of the proposed scheme. The registration scheme was applied to the acquired datasets for the automatic identification of the fracture zone. The proposed scheme comprises of a three-dimensional (3D) automatic registration method to define the differences between the two datasets, and the application of a criterion for defining slices of the pre-failure dataset as "broken" or "unbroken". Identifications of the fracture zones were qualitatively validated against visual identification of observers. Furthermore, "full 3D" fracture zone identification, based on the presented scheme, was proposed. The proposed scheme proved to be more accurate and significantly faster than the currently used visual process.     

Whole-genome QTL analysis for MAGIC

Key message

An efficient whole genome method of QTL analysis is presented for Multi-parent advanced generation integrated crosses.

Abstract

Multi-parent advanced generation inter-cross (MAGIC) populations have been developed for mice and several plant species and are useful for the genetic dissection of complex traits. The analysis of quantitative trait loci (QTL) in these populations presents some additional challenges compared with traditional mapping approaches. In particular, pedigree and marker information need to be integrated and founder genetic data needs to be incorporated into the analysis. Here, we present a method for QTL analysis that utilizes the probability of inheriting founder alleles across the whole genome simultaneously, either for intervals or markers. The probabilities can be found using three-point or Hidden Markov Model (HMM) methods. This whole-genome approach is evaluated in a simulation study and it is shown to be a powerful method of analysis. The HMM probabilities lead to low rates of false positives and low bias of estimated QTL effect sizes. An implementation of the approach is available as an R package. In addition, we illustrate the approach using a bread wheat MAGIC population.