Probing the Tumor Suppressor Function of BAP1 in CRISPR-Engineered Human Liver Organoids

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Functional mimetic of the G-protein coupled receptor CXCR4 on a soluble antibody scaffold

G-protein coupled receptors (GPCRs) constitute major drug targets due to their involvement in critical biological functions and pathophysiological disorders. The leading challenge in their structural and functional characterization has been the need for a lipid environment to accommodate their hydrophobic cores. Here, we report an antibody scaffold mimetic (ASM) platform where we have recapitulated the extracellular functional domains of the GPCR, C-X-C chemokine receptor 4 (CXCR4) on a soluble antibody framework. The engineered ASM molecule can accommodate the N-terminal loop and all three extracellular loops of CXCR4. These extracellular features are important players in ligand recruitment and interaction for allostery and signal transduction. Our study shows that ASM^CXCR4 can be recognized by the anti-CXCR4 antibodies, MEDI3185, 2B11, and 12G5, and that ASM^CXCR4 can bind the HIV-1 glycoprotein ligand gp120, and the natural chemokine ligand SDF-1α. Further, we show that ASM^CXCR4 can competitively inhibit the SDF-1α signaling pathway, and be used as an immunogen to generate CXCR4-specific antibodies. This platform will be useful in the study of GPCR biology in a soluble receptor context for evaluating its extracellular ligand interactions.     

Predicting and validating a model of suppressor of IKKepsilon through biophysical characterization

Suppressor of IKKepsilon (SIKE) is a 207 residue protein that is implicated in the TLR3‐TANK‐binding kinase‐1‐mediated response to viral infection. SIKE's function in this pathway is unknown, but SIKE forms interactions with two distinct cytoskeletal proteins, α‐actinin and tubulin, and SIKE knockout reduces cell migration. As structure informs function and in the absence of solved structural homologs, our studies were directed toward creating a structural model of SIKE through biochemical and biophysical characterization to probe and interrogate SIKE function. Circular dichroism revealed a primarily (73%) helical structure of minimal stability (<T_m > =32°C) but reversibly denatured. Limited proteolysis (LP) and chemical modification identified the N‐terminal 2/3 of the protein as dynamic and accessible, whereas size exclusion chromatography (SEC) confirmed three homo‐oligomeric species. SEC coupled to chemical crosslinking characterized the primary species as dimeric, a secondary hexameric species, and a higher order aggregate/polymer. Fluorescence polarization using intrinsic tryptophan fluorescence contextualized the anisotropy value for the SIKE dimer (molecular weight 51.8 kDa) among proteins of known structure, bovine serum albumin (BSA; 66 kDa), and glutamate dehydrogenase (GDH; 332 kDa). Radii of gyration for BSA and GDH provided exclusionary values for SIKE tertiary and dimeric quaternary models that otherwise conformed to secondary structure, LP, and modification data. Dimeric quaternary models were further culled using acrylamide quenching data of SIKE's single tryptophan that showed a single, protected environment. The low cooperativity of folding and regions of dynamic and potentially disordered structure advance the hypothesis that SIKE forms a conformational ensemble of native states that accommodate SIKE's interactions with multiple, distinct protein‐binding partners.     

Plasticity and transient binding are key ingredients of the periplasmic chaperone network

SurA, Skp, FkpA, and DegP constitute a chaperone network that ensures biogenesis of outer membrane proteins (OMPs) in Gram‐negative bacteria. Both Skp and FkpA are holdases that prevent the self‐aggregation of unfolded OMPs, whereas SurA accelerates folding and DegP is a protease. None of these chaperones is essential, and we address here how functional plasticity is manifested in nine known null strains. Using a comprehensive computational model of this network termed OMPBioM, our results suggest that a threshold level of steady state holdase occupancy by chaperones is required, but the cell is agnostic to the specific holdase molecule fulfilling this function. In addition to its foldase activity, SurA moonlights as a holdase when there is no expression of Skp and FkpA. We further interrogate the importance of chaperone–client complex lifetime by conducting simulations using lifetime values for Skp complexes that range in length by six orders of magnitude. This analysis suggests that transient occupancy of durations much shorter than the Escherichia coli doubling time is required. We suggest that fleeting chaperone occupancy facilitates rapid sampling of the periplasmic conditions, which ensures that the cell can be adept at responding to environmental changes. Finally, we calculated the network effects of adding multivalency by computing populations that include two Skp trimers per unfolded OMP. We observe only modest perturbations to the system. Overall, this quantitative framework of chaperone–protein interactions in the periplasm demonstrates robust plasticity due to its dynamic binding and unbinding behavior.     

Completion of the Vimentin Rod Domain Structure Using Experimental Restraints: A New Tool for Exploring Intermediate Filament Assembly and Mutations

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精细化管理在病理学技术质量控制中的应用

精准医疗是近年来医学的发展方向,精准医疗依赖于精准的诊断,而精准诊断则需要高质量病理学切片技术作为支撑。武汉大学人民医院病理科将精细化管理理念融入病理学技术质控和管理工作的每一环节,通过采用不同颜色包埋框对组织分类、时间梯度法调控出片时间、根据人员资质及医疗风险对病理学技术人员分级授权、专人专机负责制、信息化管理、PDCA循环法持续改进等管理措施为精准病理学诊断打好基础,大大提高了诊断准确率和及时率,为临床病理学诊断提供了可靠的技术支撑。     

治疗脊髓损伤之建立星形胶质细胞模型的研究进展

脊髓损伤(spinal cord injury,SCI)是一种极为复杂的破坏性疾病,一旦脊髓损伤发生,治疗棘手,对患者家庭、国家带来巨大的经济、社会负担。近年来,通过建立大鼠脊髓损伤细胞相关模型,对于脊髓损伤的病因病机治疗等方面有了进一步的认识,而星形胶质细胞模型的建立对脊髓损伤治疗有深远意义。研究发现,星形胶质细胞作为靶细胞通过血-脑脊液屏障直接或间接对脊髓损伤有双向调控作用。本文通过对近年来星形胶质细胞模型培养制备方案等研究进行总结,以期为建立一个客观化、定量化、可模拟化的星形胶质细胞模型提供指导对脊髓损伤的治疗提供新的思路。     

Validation of an OpenSim full-body model with detailed lumbar spine for estimating lower lumbar spine loads during symmetric and asymmetric lifting tasks

There is currently no validated full-body lifting model publicly available on the OpenSim modelling platform to estimate spinal loads during lifting. In this study, the existing full-body-lumbar-spine model was adapted and validated for lifting motions to produce the lifting full-body model. Back muscle activations predicted by the model closely matched the measured erector spinae activation patterns. Model estimates of intradiscal pressures and in vivo measurements were strongly correlated. The same spine loading trends were observed for model estimates and reported vertebral body implant measurements. These results demonstrate the suitability of this model to evaluate changes in lumbar loading during lifting.     

Performance criteria for generating predictive optimal control simulations of bicycle pedaling

The purpose of this study was to identify one or more performance-based criteria that may be used to generate predictive optimal control simulations of submaximal pedaling. Two-legged pedaling simulations were generated based on minimizing muscle activation, muscle stress, metabolic energy, time derivative of muscle force, and minimizing metabolic energy while pedaling smoothly. The simulations based on minimizing muscle activation and muscle stress most closely matched experimental pedaling data, with the activation criterion better matching experimental muscle activation timing. We conclude that predictive simulations of submaximal pedaling may be generated using a cost function based on minimizing muscle activation.