Dataset of DNA methylation profiles of 189 pediatric central nervous system, soft tissue, and bone tumors
Robin Jugas,
Petra Pokorna,
Sona Adamcova,
Katerina Kozelkova,
Dana Knoflickova,
Hana Palova,
Jaroslav Sterba,
Ondrej Slaby
Affiliations
Robin Jugas
Department of Biology, Faculty of Medicine and Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia
Petra Pokorna
Department of Biology, Faculty of Medicine and Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia; Department of Biochemistry, Faculty of Science, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia
Sona Adamcova
Department of Biology, Faculty of Medicine and Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia
Katerina Kozelkova
Department of Biology, Faculty of Medicine and Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia
Dana Knoflickova
Department of Biology, Faculty of Medicine and Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia; Department of Oncological Pathology, Masaryk Memorial Cancer Institute, Žlutý kopec 543/7, 656 53 Brno, Czechia
Hana Palova
Department of Biology, Faculty of Medicine and Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia
Jaroslav Sterba
Department of Pediatric Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Jihlavská 20, 625 00 Brno, Czechia
Ondrej Slaby
Department of Biology, Faculty of Medicine and Central European Institute of Technology, Masaryk University, Kamenice 753/5, 625 00 Brno, Czechia; Corresponding author.
Alterations in DNA methylation profiles belong to important mechanisms in cancer development, and their assessment can be utilized for rapid and precise diagnostics. Therefore, establishing datasets of methylation profiles can improve and deepen our understanding of the role of epigenetic changes in cancer development as well as improve our diagnostic capabilities. In this dataset, we generated NGS data for 189 samples of pediatric CNS, soft tissue, and bone tumors. The sequencing libraries were prepared using methyl capture bisulfite sequencing, an effective compromise between whole-genome bisulfite sequencing and array-based methods with a more limited scope of target regions. The larger part of the cohort was processed with the Agilent SureSelectXT Human Methyl-Seq kit (149 samples) and the rest with the Illumina TruSeq Methyl Capture EPIC Library Prep Kit (40 samples). The data presented in this article may help other researchers further elucidate the importance of methylation in diagnosing pediatric CNS tumors, soft tissue, and bone tumors.
