The rate of formation of amyloid fibrils in an aqueous solution of amyloid-beta (Abeta) is greatly increased when the solution is sheared. When Abeta solution is stirred with a magnetic stirrer bar at 37 degrees C, a rapid increase in thioflavin T fluorescence is observed. Atomic Force Microscopy (AFM) images show the formation of aggregates, the growth of fibrils and the intertwining of the fibrils with time. Circular dichroism (CD) spectroscopy of samples taken after stirring shows a transition from random coil to alpha-helix to beta-sheet secondary structure over 20 h at 37 degrees C. The fluorescence, AFM and CD measurements are all consistent with the formation of amyloid fibrils. Quiescent, non-stirred solutions incubated at 37 degrees C showed no evidence of amyloid formation over a period of 3 days. Couette flow was found to accelerate the formation of amyloid fibrils demonstrating that the primary effect of stirring is not mixing but shearing. Only very small shear forces are applied to individual molecules in our experiments. Simple calculation suggests that the force is too small to support a hypothesis that shearing promotes partial unfolding of the protein as is observed.
Muscle growth and regeneration is controlled by locally produced growth factors which activate satellite cells and stimulate their proliferation, differentiation and fusion to form mature myotubes. Basic fibroblast growth factor (bFGF) has been previously shown to promote proliferation and inhibit differentiation of myoblasts in vitro. In comparison, the in vivo role of this growth factor is less well documented. In the present investigation on the role of bFGF in muscle regeneration, bFGF mRNA levels were studied in two experimental systems: (1) primary cell cultures derived from rat skeletal muscles, and (2) an in vivo rat muscle injury model. bFGF mRNA was detected in myoblasts just prior to fusion and in myotubes of primary muscle cell cultures. In the non-injured muscle, bFGF mRNA transcripts were detected in myotubes but not satellite cells. In the in vivo muscle injury model bFGF mRNA was observed in myoblasts and in degenerating and regenerated myotubes. The significance of these experimental results in terms of the role played by bFGF in the myogenic program in vivo are discussed.
Pooling decisions in preparative liquid chromatography for protein purification are usually based on univariate UV absorption measurements that are not able to differentiate between product and co-eluting contaminants. This can result in inconsistent pool purities or yields, if there is a batch-to-batch variability of the feedstock. To overcome this analytical bottleneck, a tool for selective inline quantification of co-eluting model proteins using mid-UV absorption spectra and Partial Least Squares Regression (PLS) was presented in a previous study and applied for real-time pooling decisions. In this paper, a process-data-based method for the PLS model calibration will be introduced that allows the application of the tool towards chromatography steps of real-life processes. The process-data-based calibration method uses recorded inline mid-UV absorption spectra that are correlated with offline fraction analytics to calibrate PLS models. In order to generate average spectra from the inline data, a Visual Basic for Application macro was successfully developed. The process-data-based model calibration was established using a ternary model protein system. Afterwards, it was successfully demonstrated in two case studies that the calibration method is applicable towards real-life separation issues. The calibrated PLS models allowed a successful quantification of the co-eluting species in a cation-exchange-based aggregate and fraction removal during the purification of monoclonal antibodies and of co-eluting serum proteins in an anion-exchange-based purification of Cohn supernatant I. Consequently, the presented process-data-based PLS model calibration in combination with the tool for selective inline quantification has a great potential for the monitoring of future chromatography steps and may contribute to manage batch-to-batch variability by real-time pooling decisions.
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