Impact of the C-terminal loop of histidine triad nucleotide binding protein1 (Hint1) on substrate specificity

Although highly sequence similar, human histidine triad nucleotide binding protein (hHint1) and E. coli hinT (echinT) exhibit significant differences in their phosphoramidase substrate specificity and lysyl-adenylate hydrolytic activity. Observing that the C termini of each enzyme are highly dissimilar, we created two chimeric Hint's: one in which the C terminus of hHint1 was replaced with the C terminus of echinT (Hs/ec) and the other in which the C terminus of echinT was replaced with the C terminus of hHint1 (ec/Hs). The Hs/ec chimera exhibited nearly identical specificity constants (kcat/Km) to those found for echinT, whereas the specificity constants of the ec/Hs chimera were found to approximate those for hHint1. In particular, as observed for echinT, the Hs/ec chimera does not exhibit a preference for phosphoramidates containing d- or l- tryptophan, while the ec/Hs chimera adopts the human enzyme preference for the l configuration. In addition, the studies with each chimera revealed that differences in the ability of hHint1 and echinT to hydrolyze lysyl-AMP generated by either E. coli or human lysyl-tRNA synthetase were partially transferable by C-terminal loop exchange. Hence, our results support the critical role of the C-terminal loop of human and E. coli Hint1 on governing substrate specificity.     

Role of apoptosis-regulating signal kinase 1 in innate immune responses by Mycobacterium bovis bacillus Calmette-Guérin

Mycobacterium bovis bacillus Calmette-Guérin (BCG) induces innate immune responses through Toll-like receptor (TLR) 2 and TLR4. We investigated the role of apoptosis-regulating signal kinase (ASK) 1 in reactive oxygen species (ROS)-mediated innate immune responses induced by BCG mycobacterial infection. In macrophages, M. bovis BCG stimulation resulted in rapid activation of mitogen-activated protein kinases (MAPKs), secretion of inflammatory cytokines, such as tumor necrosis factor (TNF)-alpha and interleukin (IL)-6, and ROS generation in a TLR2- and TLR4-dependent manner. M. bovis BCG-induced ROS production led to robust activation of ASK1 upstream of the c-jun-N-terminal kinase and p38 MAPK, but not extracellular-regulated kinase 1/2. Blocking ASK1 activity markedly attenuated M. bovis BCG-induced TNF-alpha and IL-6 production by macrophages. Both TLR2 and TLR4 were required for optimal activation of ASK1 in response to M. bovis BCG. Furthermore, we present evidence that TNF receptor-associated factor (TRAF) 6 activities were essential for ROS-mediated ASK1 activation by M. bovis BCG. Finally, ASK1 activities were required for effective control of intracellular mycobacterial survival. Thus, the results of this study suggest a novel role of the TLR-ROS-TRAF6-ASK1 axis in the innate immune response to mycobacteria as a signaling intermediate.     

Performance enhancement of polyaniline-based polymeric wire biosensor

We demonstrate here the performance enhancement of polyaniline-based biosensor using screen-printing technology and pulse mode measurement technique. Screen-printed silver electrodes were made on a nitrocellulose membrane and the distance between the two electrodes was approximately 550 microm. Resistance of the electrodes had an average of 1.4 Omega with a standard deviation of +/-0.4 Omega. The surface of nitrocellulose membrane was modified by glutaraldehyde to immobilize streptavidin. Biotinylated anti-mouse IgG was conjugated with polyaniline-coated magnetic nanoparticles. Formation of polyaniline-coated magnetic nanoparticles was confirmed by a transmission electron microscope image. The polyaniline was used as an electric signal transducer for the monitoring of the biospecific binding event. An electrical response induced by the streptavidin-biotin interaction was measured by pulse mode measurement. This measurement method reduced the resistance caused by interfacial capacitance. Dose-dependent resistance changes were also successfully analyzed by the pulse mode polymeric wire biosensor. Results showed that the pulse mode measurement technique enhanced the performance of the polyaniline-based polymeric wire biosensor by reducing the interfacial effects. This approach could be helpful in samples with high interfering background materials, such as food and clinical specimens.     

Immunoglobulin G galactosylation and sialylation are associated with pregnancy-induced improvement of rheumatoid arthritis and the postpartum flare: results from a large prospective cohort study

Introduction  

Improvement of rheumatoid arthritis (RA) during pregnancy has been causatively associated with increased galactosylation of immunoglobulin G (IgG) N-glycans. Since previous studies were small, did not include the postpartum flare and did not study sialylation, these issues were addressed in the present study.     

Multispectral fingerprinting for improved in vivo cell dynamics analysis

Background  

Tracing cell dynamics in the embryo becomes tremendously difficult when cell trajectories cross in space and time and tissue density obscure individual cell borders. Here, we used the chick neural crest (NC) as a model to test multicolor cell labeling and multispectral confocal imaging strategies to overcome these roadblocks.     

Analysis of protein interactions on protein arrays by a novel spectral surface plasmon resonance imaging

We presented a novel surface plasmon resonance (SPR) imaging method for analysis of protein arrays based on a wavelength interrogation-based SPR biosensor. The spectral imaging was performed by the combination of position control and resonance wavelengths calculated from SPR reflectivity spectra. The imaging method was evaluated by analyzing interactions of glutathione S-transferase-fusion proteins with their antibodies. Antigen-antibody interactions were successfully analyzed on glutathione S-transferase-fusion protein arrays by using the spectral imaging method, and the results were confirmed by a parallel analysis using a previously used spectral SPR biosensor based on wavelength interrogation. Specific binding of anti-Rac1 and anti-RhoA to Rac1 and RhoA on the protein arrays was qualitatively and quantitatively analyzed by the spectral SPR imaging. Thus, it was suggested that the novel spectral SPR imaging was a useful tool for the high-throughput analysis of protein-protein interactions on protein arrays.     

Effect of temperature,pH, dissolved oxygen,and hydrolysate on the formation of triple light chain antibodies in cell culture

THIOMABs are recombinant antibodies with reactive cysteine residues used for forming THIOMAB–drug conjugates (TDCs). We recently reported a new impurity associated with THIOMABs: one of the engineered cysteines forms a disulfide bond with an extra light chain (LC) to generate a triple light chain antibody (3LC). In our previous investigations, increased LC expression increased 3LC levels, whereas increased glutathione (GSH) production decreased 3LC levels. In this work, on three stably transfected CHO cell lines, we investigated the effects of temperature, pH, dissolved oxygen (DO), and hydrolysate on 3LC formation during THIOMAB fed‐batch cell culture production. Although pH between 6.8 and 7.0 had no significant impact on 3LC formation, temperature at 35°C instead of 33 or 31°C generated the lowest 3LC values for two cell lines. The decreased 3LC level correlated with increased GSH production. We implemented a 35°C temperature process for large‐scale (2,000 L) production of a THIOMAB. This process reduced 3LC levels by ～50% compared with a 33°C temperature process. By contrast, DO and hydrolysate had modest effect on 3LC levels for the model cell line studied. Overall, we did not find significant changes in LC expression under the conditions tested, whereas changes in GSH production were more evident. By investigating the impact of bioreactor process and medium conditions on 3LC levels, we identified strategies that reduced 3LC levels. © 2010 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Comparing genomic prediction accuracy from purebred,crossbred and combined purebred and crossbred reference populations in sheep

Background

The accuracy of genomic prediction depends largely on the number of animals with phenotypes and genotypes. In some industries, such as sheep and beef cattle, data are often available from a mixture of breeds, multiple strains within a breed or from crossbred animals. The objective of this study was to compare the accuracy of genomic prediction for several economically important traits in sheep when using data from purebreds, crossbreds or a combination of those in a reference population.

Methods

The reference populations were purebred Merinos, crossbreds of Border Leicester (BL), Poll Dorset (PD) or White Suffolk (WS) with Merinos and combinations of purebred and crossbred animals. Genomic breeding values (GBV) were calculated based on genomic best linear unbiased prediction (GBLUP), using a genomic relationship matrix calculated based on 48 599 Ovine SNP (single nucleotide polymorphisms) genotypes. The accuracy of GBV was assessed in a group of purebred industry sires based on the correlation coefficient between GBV and accurate estimated breeding values based on progeny records.

Results

The accuracy of GBV for Merino sires increased with a larger purebred Merino reference population, but decreased when a large purebred Merino reference population was augmented with records from crossbred animals. The GBV accuracy for BL, PD and WS breeds based on crossbred data was the same or tended to decrease when more purebred Merinos were added to the crossbred reference population. The prediction accuracy for a particular breed was close to zero when the reference population did not contain any haplotypes of the target breed, except for some low accuracies that were obtained when predicting PD from WS and vice versa.

Conclusions

This study demonstrates that crossbred animals can be used for genomic prediction of purebred animals using 50 k SNP marker density and GBLUP, but crossbred data provided lower accuracy than purebred data. Including data from distant breeds in a reference population had a neutral to slightly negative effect on the accuracy of genomic prediction. Accounting for differences in marker allele frequencies between breeds had only a small effect on the accuracy of genomic prediction from crossbred or combined crossbred and purebred reference populations.