SisterC allows study of the complex interplay between sister chromatid compaction and their segregation during mitosis.The gut microbiota contributes to host physiology through the production of a myriad of metabolites. These metabolites exert their effects within the host as signalling molecules and substrates for metabolic reactions. Although the study of host-microbiota interactions remains challenging due to the high degree of crosstalk both within and between kingdoms, metabolite-focused research has identified multiple actionable microbial targets that are relevant for host health. Metabolites, as the functional output of combined host and microorganism interactions, provide a snapshot in time of an extraordinarily complex multi-organism system. Although substantial work remains towards understanding host-microbiota interactions and the underlying mechanisms, we review the current state of knowledge for each of the major classes of microbial metabolites with emphasis on clinical and translational research implications. We provide an overview of methodologies available for measurement of microbial metabolites, and in addition to discussion of key challenges, we provide a potential framework for integration of discovery-based metabolite studies with mechanistic work.  https://www.selleckchem.com/products/GDC-0980-RG7422.html  Finally, we highlight examples in the literature where this approach has led to substantial progress in understanding host-microbiota interactions.Despite advances in robotic-assisted surgery (RAS) in the past two decades, control of the robotic system currently remains under the command of a human surgeon. Historically, urology has pioneered new surgical techniques and technologies. Now, autonomous RAS is on the horizon and the first data from clinical trials of autonomous RAS in urology are being published. Automation takes control away from the surgeon but promises standardization of techniques, increased efficiency, potentially reduced complication rates and new ways of integrating intra-operative imaging. Preclinical and clinical evidence is emerging that supports the use of autonomous robotic-assisted urological surgery. Use of autonomous technologies in the operating theatre will directly affect the role of the urological surgeon. Integration of autonomous RAS can be viewed as a positive aid, but it might also be perceived as a threat to the future urological surgeon.In the past 10-15 years, paediatric transgender care has emerged at the forefront of several general practice and subspecialty guidelines and is the topic of continuing medical education for various medical disciplines. Providers in specialties ranging from family medicine, paediatrics and adolescent medicine to endocrinology, gynaecology and urology are caring for transgender patients in increasing numbers. Current and evolving national and international best practice guidelines recommend offering a halt of endogenous puberty for patients with early gender dysphoria, in whom impending puberty is unacceptable for their psychosocial health and wellness. Pubertal blockade has implications for fertility preservation, transgender surgical care and psychosocial health, all of which must be considered and discussed with the patient and their family and/or legal guardian before initiation.In the 20 years since human embryonic stem cells, and subsequently induced pluripotent stem cells, were first described, it has become apparent that during long-term culture these cells (collectively referred to as 'pluripotent stem cells' (PSCs)) can acquire genetic changes, which commonly include gains or losses of particular chromosomal regions, or mutations in certain cancer-associated genes, especially TP53. Such changes raise concerns for the safety of PSC-derived cellular therapies for regenerative medicine. Although acquired genetic changes may not be present in a cell line at the start of a research programme, the low sensitivity of current detection methods means that mutations may be difficult to detect if they arise but are present in only a small proportion of the cells. In this Review, we discuss the types of mutations acquired by human PSCs and the mechanisms that lead to their accumulation. Recent work suggests that the underlying mutation rate in PSCs is low, although they also seem to be particularly susceptible to genomic damage. This apparent contradiction can be reconciled by the observations that, in contrast to somatic cells, PSCs are programmed to die in response to genomic damage, which may reflect the requirements of early embryogenesis. Thus, the common genetic variants that are observed are probably rare events that give the cells with a selective growth advantage.The symmetries of a crystal are notoriously uncorrelated to those of its constituent molecules. This symmetry breaking is typically thought to occur during crystallization. Here we demonstrate that one of the two symmetry elements of olanzapine crystals, an inversion centre, emerges in solute dimers extant in solution prior to crystallization. We combine time-resolved in situ scanning probe microscopy to monitor the crystal growth processes with all-atom molecular dynamics simulations. We show that crystals grow non-classically, predominantly by incorporation of centrosymmetric dimers. The growth rate of crystal layers exhibits a quadratic dependence on the solute concentration, characteristic of the second-order kinetics of the incorporation of dimers, which exist in equilibrium with a majority of monomers. We show that growth by dimers is preferred due to overwhelming accumulation of adsorbed dimers on the crystal surface, where it is complemented by dimerization and expedites dimer incorporation into growth sites.The electronic Schrödinger equation can only be solved analytically for the hydrogen atom, and the numerically exact full configuration-interaction method is exponentially expensive in the number of electrons. Quantum Monte Carlo methods are a possible way out they scale well for large molecules, they can be parallelized and their accuracy has, as yet, been only limited by the flexibility of the wavefunction ansatz used. Here we propose PauliNet, a deep-learning wavefunction ansatz that achieves nearly exact solutions of the electronic Schrödinger equation for molecules with up to 30 electrons. PauliNet has a multireference Hartree-Fock solution built in as a baseline, incorporates the physics of valid wavefunctions and is trained using variational quantum Monte Carlo. PauliNet outperforms previous state-of-the-art variational ansatzes for atoms, diatomic molecules and a strongly correlated linear H10, and matches the accuracy of highly specialized quantum chemistry methods on the transition-state energy of cyclobutadiene, while being computationally efficient.