Prenatal exposure to chemotherapy increases the mutation burden in human neonatal hematopoietic stem cells.

Chemotherapy is included in the standard of care for cancer treatment during pregnancy. However, whether prenatal exposure to maternal chemotherapy treatment has a mutagenic impact on the fetal genome, remains unexplored. Therefore, we investigated mutation accumulation in hematopoietic stem and progenitor cells (HSPCs) from neonates born to pregnant cancer patients treated with chemotherapy, as well as healthy pregnant women and untreated pregnant cancer patients.

Protocol for genome-wide analysis of somatic variants at single-cell resolution using primary template-directed DNA amplification.

The study of somatic mutations in single cells provides insights into aging and carcinogenesis, which is complicated by the dependency on whole-genome amplification (WGA). Here, we describe a detailed workflow starting from single-cell isolation to WGA by primary template-directed amplification (PTA), sequencing, quality control, and downstream analyses. A machine learning approach, the PTA Analysis Toolkit (PTATO), is used to filter the hundreds to thousands of artificial variants induced by WGA from true mutations at high sensitivity and accuracy.

A Circle-Drawing Task for Studying Reward-Based Motor Learning in Children and Adults.

Childhood is an obvious period for motor learning, since children's musculoskeletal and nervous systems are still in development. Adults adapt movements based on reward feedback about success and failure, but it is less established whether school-age children also exhibit such reward-based motor learning. We designed a new 'circle-drawing' task suitable for assessing reward-based motor learning in both children (7-17 years old) and adults (18-65 years old).

Outcomes of CEM43 in Predicting Thermal Damage Induced by Focal Laser Ablation in Controlled Ex Vivo Experiments: A Comparison to Histology and MRI.

Background: Focal laser ablation (FLA) serves as a targeted therapy for prostate cancer (PCa). Clinical studies have demonstrated significant variations in ablation volumes with consistent fiber configurations. Consequently, a prediction model is needed for the safe application of FLA in treating PCa.