Microcomputer interface for computer-controlled enzyme kinetic studies with the monolayer technique

Periodic acid oxidation in methanol followed by incubation with 1, 1-dimethylhydrazine results in release of diacylglycerols from 1,2-diacyl-3-glycosyl-sn-glycerols. During hydrazinolysis of oxidized monogalactosyl diacylglycerol, an intermediate hydrazone derivative was observed which was isolated and identified. The diacylglycerols recovered are 1,2-diacyl isomers containing the same fatty acid mixtures as the intact glycolipids. The yields of diacylglycerols released from plant monogalactosyl-, digalactosyl-, and sulfoquinovosyl diacylglycerols were in the range of 30-50%. The method may be used for analysis of molecular species and for preparative purposes.     

A novel technique for the measurement of disruption in high-pressure homogenization: Studies on E. coli containing recombinant inclusion bodies

The high-pressure homogenization of Escherichia coli, strain JM101, containing inclusion bodies of recombinant porcine somatotropin was investigated. A novel technique employing an analytical disc centrifuge was used to monitor the disruption. This a direct technique which measures cell disintegration rather than soluble protein release. The technique is particularly suited to measurements where the disruption approaches 100%. The disk centrifuge provides a size distribution of the homogenate, and furnishes evidence for the preferential disruption of larger cells. For E. coli containing inclusion bodies, and increase in the cell feed concentration from 145 g/L (wet weight) to 330 g/L resulted is poorer homogenization. Poorer disruption was also obtained by lowering the feed temperature from 20 degrees C to 5 degrees C. Only slight variations in performance were obtained by increasing the feed pH from 7.5 to 9.0 or by storing the feed at 4 degrees C for 24 h prior to disruption. Comparison with uninduced E. coli strain JM101, showed that the disruption obtained is higher for bacteria containing a recombinant inclusion body.     

Oligomerization of RIG‐I and MDA5 2CARD domains

The innate immune system is the first line of defense against invading pathogens. The retinoic acid‐inducible gene I (RIG‐I) like receptors (RLRs), RIG‐I and melanoma differentiation‐associated protein 5 (MDA5), are critical for host recognition of viral RNAs. These receptors contain a pair of N‐terminal tandem caspase activation and recruitment domains (2CARD), an SF2 helicase core domain, and a C‐terminal regulatory domain. Upon RLR activation, 2CARD associates with the CARD domain of MAVS, leading to the oligomerization of MAVS, downstream signaling and interferon induction. Unanchored K63‐linked polyubiquitin chains (polyUb) interacts with the 2CARD domain, and in the case of RIG‐I, induce tetramer formation. However, the nature of the MDA5 2CARD signaling complex is not known. We have used sedimentation velocity analytical ultracentrifugation to compare MDA5 2CARD and RIG‐I 2CARD binding to polyUb and to characterize the assembly of MDA5 2CARD oligomers in the absence of polyUb. Multi‐signal sedimentation velocity analysis indicates that Ub₄ binds to RIG‐I 2CARD with a 3:4 stoichiometry and cooperatively induces formation of an RIG‐I 2CARD tetramer. In contrast, Ub₄ and Ub₇ interact with MDA5 2CARD weakly and form complexes with 1:1 and 2:1 stoichiometries but do not induce 2CARD oligomerization. In the absence of polyUb, MDA5 2CARD self‐associates to forms large oligomers in a concentration‐dependent manner. Thus, RIG‐I and MDA5 2CARD assembly processes are distinct. MDA5 2CARD concentration‐dependent self‐association, rather than polyUb binding, drives oligomerization and MDA5 2CARD forms oligomers larger than tetramer. We propose a mechanism where MDA5 2CARD oligomers, rather than a stable tetramer, function to nucleate MAVS polymerization.     

Analysis of chemometric models applied to Raman spectroscopy for monitoring key metabolites of cell culture

The Food and Drug Administration (FDA) initiative of Process Analytical Technology (PAT) encourages the monitoring of biopharmaceutical manufacturing processes by innovative solutions. Raman spectroscopy and the chemometric modeling tool partial least squares (PLS) have been applied to this aim for monitoring cell culture process variables. This study compares the chemometric modeling methods of Support Vector Machine radial (SVMr), Random Forests (RF), and Cubist to the commonly used linear PLS model for predicting cell culture components—glucose, lactate, and ammonia. This research is performed to assess whether the use of PLS as standard practice is justified for chemometric modeling of Raman spectroscopy and cell culture data. Model development data from five small-scale bioreactors (2 × 1 L and 3 × 5 L) using two Chinese hamster ovary (CHO) cell lines were used to predict against a manufacturing scale bioreactor (2,000 L). Analysis demonstrated that Cubist predictive models were better for average performance over PLS, SVMr, and RF for glucose, lactate, and ammonia. The root mean square error of prediction (RMSEP) of Cubist modeling was acceptable for the process concentration ranges of glucose (1.437 mM), lactate (2.0 mM), and ammonia (0.819 mM). Interpretation of variable importance (VI) results theorizes the potential advantages of Cubist modeling in avoiding interference of Raman spectral peaks. Predictors/Raman wavenumbers (cm⁻¹) of interest for individual variables are X1139–X1141 for glucose, X846–X849 for lactate, and X2941–X2943 for ammonia. These results demonstrate that other beneficial chemometric models are available for use in monitoring cell culture with Raman spectroscopy.     

Determination of protein concentration in downstream biomanufacturing processes by in-line index of refraction

Protein concentration determination is a necessary in-process control for the downstream operations within biomanufacturing. As production transitions from batch mode to an integrated continuous bioprocess paradigm, there is a growing need to move protein concentration quantitation from off-line to in-line analysis. One solution to fulfill this process analytical technology need is an in-line index of refraction (IoR) sensor to measure protein concentration in real time. Here the performance of an IoR sensor is evaluated through a series of experiments to assess linear response, buffer matrix effects, dynamic range, sensor-to-sensor variability, and the limits of detection and quantitation. The performance of the sensor was also tested in two bioprocessing scenarios, ultrafiltration and capture chromatography. The implementation of this in-line IoR sensor for real-time protein concentration analysis and monitoring has the potential to improve continuous bioprocess manufacturing.     

生物学专业动物学实验教学中培养学生解剖技能的探索

动物解剖实验在动物学实验教学中占有重要地位,学生的解剖技能是做好动物解剖实验的基础,也是学生以后从事科学研究和教学的基本素质.结合动物学实验教学实践阐述了动物解剖的基本原则及培养学生解剖技能的方法,以便学生系统理解动物解剖的基本原则和方法.     

How the Atg1 complex assembles to initiate autophagy

The Atg1 complex, comprising Atg1, Atg13, Atg17, Atg29, and Atg31, is a key initiator of autophagy. The Atg17-Atg31-Atg29 subcomplex is constitutively present at the phagophore assembly site (PAS), while Atg1 and Atg13 join the complex when autophagy is triggered by starvation or other signals. We sought to understand the energetics and dynamics of assembly using isothermal titration calorimetry (ITC), sedimentation velocity analytical ultracentrifugation, and hydrogen-deuterium exchange (HDX). We showed that the membrane and Atg13-binding domain of Atg1, Atg1_EAT, is dynamic on its own, but is rigidified in its high-affinity (～100 nM) complex with Atg13. Atg1_EAT and Atg13 form a 2:2 dimeric assembly and together associate with lower affinity (～10 μM) with the 2:2:2 Atg17-Atg31-Atg29 complex. These results lead to an overall model for the assembly pathway of the Atg1 complex. The model highlights the Atg13-Atg17 binding event as the weakest link in the assembly process and thus as a natural regulatory checkpoint.     

Real-time dissolved carbon dioxide monitoring I: Application of a novel in situ sensor for CO2 monitoring and control

Dissolved carbon dioxide (dCO₂) is a well-known critical parameter in bioprocesses due to its significant impact on cell metabolism and on product quality attributes. Processes run at small-scale faces many challenges due to limited options for modular sensors for online monitoring and control. Traditional sensors are bulky, costly, and invasive in nature and do not fit in small-scale systems. In this study, we present the implementation of a novel, rate-based technique for real-time monitoring of dCO₂ in bioprocesses. A silicone sampling probe that allows the diffusion of CO₂ through its wall was inserted inside a shake flask/bioreactor and then flushed with air to remove the CO₂ that had diffused into the probe from the culture broth (sensor was calibrated using air as zero-point calibration). The gas inside the probe was then allowed to recirculate through gas-impermeable tubing to a CO₂ monitor. We have shown that by measuring the initial diffusion rate of CO₂ into the sampling probe we were able to determine the partial pressure of the dCO₂ in the culture. This technique can be readily automated, and measurements can be made in minutes. Demonstration experiments conducted with baker's yeast and Yarrowia lipolytica yeast cells in both shake flasks and mini bioreactors showed that it can monitor dCO₂ in real-time. Using the proposed sensor, we successfully implemented a dCO₂-based control scheme, which resulted in significant improvement in process performance.     

Structural and dynamics characterization of norovirus protease

Norovirus protease is an essential enzyme for proteolytic maturation of norovirus nonstructural proteins and has been implicated as a potential target for antiviral drug development. Although X‐ray structural studies of the protease give us wealth of structural information including interactions of the protease with its substrate and dimeric overall structure, the role of protein dynamics in the substrate recognition and the biological relevance of the protease dimer remain unclear. Here we determined the solution NMR structure of the 3C‐like protease from Norwalk virus (NV 3CLpro), a prototype strain of norovirus, and analyzed its backbone dynamics and hydrodynamic behavior in solution. ¹⁵N spin relaxation and analytical ultracentrifugation analyses demonstrate that NV 3CLpro is predominantly a monomer in solution. Solution structure of NV 3CLpro shows significant structural variation in C‐terminal domain compared with crystal structures and among lower energy structure ensembles. Also, ¹⁵N spin relaxation and Carr–Purcell–Meiboom–Gill (CPMG)‐based relaxation dispersion analyses reveal the dynamic properties of residues in the C‐terminal domain over a wide range of timescales. In particular, the long loop spanning residues T123–G133 show fast motion (ps‐ns), and the residues in the bII–cII region forming the large hydrophobic pocket (S2 site) undergo conformational exchanges on slower timescales (μs–ms), suggesting their important role in substrate recognition.