Helsinki University Hospital 3 articles published in JoVE Neuroscience Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable Elisa Taylor1, Manu Airaksinen1, Anastasia Gallen1, Tuuli Immonen2, Elina Ilén3, Taru Palsa1,2, Leena M. Haataja1,2, Sampsa Vanhatalo1,4 1BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, New Children's Hospital and HUS Imaging, Helsinki, University Hospital, 2Department of Pediatric Neurology, Children's Hospital, Helsinki University Hospital and University of Helsinki, 3Department of Materials Science and Engineering, Universitat Politècnica de Catalunya, 4Department of Physiology, University of Helsinki This paper outlines the assessment of infants' gross motor performance with a multisensor wearable and its fully automated deep learning-based analysis pipeline. The method quantifies the posture and movement patterns of infants from lying supine until they master walking independently. Genetics LINE-1 Methylation Analysis in Mesenchymal Stem Cells Treated with Osteosarcoma-Derived Extracellular Vesicles Snehadri Sinha*1,2, Bettina Mannerström*1,2, Riitta Seppänen-Kaijansinkko1,2, Sippy Kaur1,2 1Department of Oral and Maxillofacial Diseases, University of Helsinki, 2Helsinki University Hospital Described here is the use of a methylation-specific probe amplification method to analyze methylation levels of LINE-1 elements in mesenchymal stem cells treated with osteosarcoma-derived extracellular vesicles. Ultracentrifugation, a popular procedure for separating extracellular vesicles from fetal bovine serum, is also demonstrated. Cancer Research Fully Human Tumor-based Matrix in Three-dimensional Spheroid Invasion Assay Erika Naakka1, Katja Tuomainen1, Henrik Wistrand*1, Miila Palkama*1, Ilida Suleymanova1, Ahmed Al-Samadi1, Tuula Salo1,2,3,4 1Department of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, 2Cancer and Translational Medicine Research Unit, University of Oulu, 3Medical Research Center, Oulu University Horspital, 4Helsinki University Hospital Tumor microenvironment is an essential part of cancer growth and invasion. To mimic carcinoma progression, a biologically relevant human matrix is needed. This protocol introduces an improvement for the in vitro three-dimensional spheroid invasion assay by applying a human leiomyoma-based matrix. The protocol also introduces a computer-based cell invasion analysis.