Transport and inhibition of the sphingosine-1-phosphate exporter SPNS2.

Sphingosine-1-phosphate (S1P) is a signaling lysolipid critical to heart development, immunity, and hearing. Accordingly, mutations in the S1P transporter SPNS2 are associated with reduced white cell count and hearing defects. SPNS2 also exports the S1P-mimicking FTY720-P (Fingolimod) and thereby is central to the pharmacokinetics of this drug when treating multiple sclerosis.

The efflux pump ABCC1/MRP1 constitutively restricts PROTAC sensitivity in cancer cells.

Proteolysis targeting chimeras (PROTACs) are bifunctional molecules that induce selective protein degradation by linking an E3 ubiquitin ligase enzyme to a target protein. This approach allows scope for targeting "undruggable" proteins, and several PROTACs have reached the stage of clinical candidates. However, the roles of cellular transmembrane transporters in PROTAC uptake and efflux remain underexplored.

Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.

Neurons in the brain have rich and adaptive input-output properties. Features such as heterogeneous f-I curves and spike frequency adaptation are known to place single neurons in optimal coding regimes when facing changing stimuli. Yet, it is still unclear how brain circuits exploit single-neuron flexibility, and how network-level requirements may have shaped such cellular function.

Automated sample annotation for diabetes mellitus in healthcare integrated biobanking.

Healthcare integrated biobanking describes the annotation and collection of residual samples from hospitalized patients for research purposes. The central idea of the current work is to establish an automated workflow for sample annotation, selection and storage for diabetes mellitus. This is challenging due to incomplete data at the time of sample selection.

The effect of body mass index at diagnosis on survival of patients with squamous cell head and neck carcinoma.

The aim of this study is to investigate the prognostic role of body mass index (BMI) on survival from head and neck cancer (HNC). We performed a pooled analysis of studies included in the International Head and Neck Cancer Epidemiology consortium. We used Cox proportional hazards models to estimate the adjusted hazard ratios (HR) for overall survival and HNC-specific survival, and we stratified the results according to cancer site.