Urine Metabolomics Exposes Anomalous Recovery after Maximal Exertion in Female ME/CFS Patients.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease with unknown etiology or effective treatments. Post-exertional malaise (PEM) is a key symptom that distinguishes ME/CFS patients. Investigating changes in the urine metabolome between ME/CFS patients and healthy subjects following exertion may help us understand PEM.

The potential of auto-antigen-guided treatment of immune checkpoint inhibitor-mediated myocarditis.

Immune checkpoint inhibitor (ICI)-mediated myocarditis is a rare but devastating side effect of cancer immunotherapy with up to 40% mortality and long-term cardiac issues such as arrhythmias and heart failure in affected patients. Recently, Axelrod et al. suggested an auto-antigen-driven mechanism as the immunological basis for this disease.

devCellPy is a machine learning-enabled pipeline for automated annotation of complex multilayered single-cell transcriptomic data.

A major informatic challenge in single cell RNA-sequencing analysis is the precise annotation of datasets where cells exhibit complex multilayered identities or transitory states. Here, we present devCellPy a highly accurate and precise machine learning-enabled tool that enables automated prediction of cell types across complex annotation hierarchies. To demonstrate the power of devCellPy, we construct a murine cardiac developmental atlas from published datasets encompassing 104,199 cells from E6.