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Seelig, J.

Publications and source records attributed to Seelig, J..

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Thermal and Chemical Unfolding of a recombinant monoclonal IgG1 antibody: Application of the Multi-State Zimm-Bragg Theory

The thermal unfolding of a recombinant monoclonal antibody IgG1 (mAb) was measured with differential scanning calorimetry (DSC). The DSC thermograms reveal a pre-transition at 72{degrees}C with an unfolding enthalpy of {Delta}Hcal [~] 200-300 kcal/mol and a main transition at 85 {degrees}C with an enthalpy of [~]900 - 1000 kcal/mol. In contrast to single-domain molecules, mAb unfolding is a complex reaction that is analysed with the multi-state Zimm-Bragg theory. For the investigated mAb, unfolding is characterised by a cooperativity parameter {sigma} [~]10-4 and a Gibbs free energy of unfolding of gnu [~]100 cal/mol per amino acid. The enthalpy of unfolding provides the number of amino acid residues v participating in the unfolding reaction. On average, v[~]220{+/-}50 amino acids are involved in the pre-transition and v[~]850{+/-}30 in the main transition, accounting for [~]90% of all amino acids. Thermal unfolding was further studied in the presence of guanidineHCl. The chemical denaturant reduces the unfolding enthalpy {Delta}Hcal and lowers the midpoint temperature T0. Both parameters depend linearly on the concentration of denaturant. The guanidineHCl concentrations needed to unfold mAb at 25 {degrees}C are predicted to be 2-3 M for the pre-transition and 5-7 M for the main transition, varying with pH. GuanidineHCl binds to mAb with an exothermic binding enthalpy, which partially compensates the endothermic mAb unfolding enthalpy. The number of guanidineHCL molecules bound upon unfolding is deduced from the DSC thermograms. The bound guanidineHCl-to-unfolded amino acid ratio is 0.79 for the pre-transition and 0.55 for the main transition. The pre-transition binds more denaturant molecules and is more easily destabilised than the main transition.\n\nOverall, the current study shows the strength of the Zimm-Bragg model for the quantitative description of unfolding events of large, therapeutic proteins, such as a monoclonal antibody.\n\nStatement of significanceFirst quantitative thermodynamic study of an antibody with differential scanning calorimetry and analyzed with the multi-state Zimm-Bragg theory.

biophysics

Virtual reality for animal navigation with camera-based optical flow tracking

BackgroundVirtual reality combined with spherical treadmills is used across species for studying neural circuits underlying navigation.\n\nNew MethodWe developed an optical flow-based method for tracking treadmil ball motion in real-time using a single high-resolution camera.\n\nResultsTracking accuracy and timing were determined using calibration data. Ball tracking was performed at 500 Hz and integrated with an open source game engine for virtual reality projection. The projection was updated at 120 Hz with a latency with respect to ball motion of 30 {+/-} 8 ms.\n\nComparison with Existing Method(s)Optical flow based tracking of treadmill motion is typically achieved using optical mice. The camera-based optical flow tracking system developed here is based on off-the-shelf components and offers control over the image acquisition and processing parameters. This results in flexibility with respect to tracking conditions - such as ball surface texture, lighting conditions, or ball size - as well as camera alignment and calibration.\n\nConclusionsA fast system for rotational ball motion tracking suitable for virtual reality animal behavior across different scales was developed and characterized.

neuroscience

Bessel beam tomography for fast volume imaging

Light microscopy on dynamic samples, for example neural activity in the brain, requires imaging large volumes at high rates. Here, we develop a tomography approach for scanning fluorescence microscopy which allows recording volume images at frame scan rates. Volumes are imaged by simultaneously recording four independent projections at different angles using temporally multiplexed, tilted Bessel beams. From the resulting projections, volumes are reconstructed using inverse Radon transforms combined with three dimensional convolutional neural networks (U-net). This tomography approach is suitable for experiments requiring fast volume imaging of sparse samples, as for example often encountered when imaging neural activity in the brain.

neuroscience