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Series GSE275159 Query DataSets for GSE275159
Status Public on Nov 05, 2024
Title Classification of pediatric soft and bone sarcomas using DNA methylation-based profiling
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Pediatric sarcomas present heterogeneous morphology, genetics and clinical behavior posing a challenge for an accurate diagnosis. DNA methylation is an epigenetic modification that coordinates chromatin structure and regulates gene expression, determining cell type and function. DNA methylation-based tumor profiling classifier for sarcomas (known as sarcoma classifier) from the German Cancer Research Center (Deutsches Krebsforschungszentrum) was applied to 122 pediatric sarcomas referred to a reference pediatric oncology hospital. The classifiers reported 88.5% of agreement between histopathological and molecular classification confirming the initial diagnosis of all osteosarcomas and Ewing sarcomas. Transcriptome raw data quality was verified with FASTQC. We used STAR-fusion to identify and annotate fusion transcripts based on discordant read alignments with default configurations. ChimeraViz was used to plot fusion-genes.
 
Overall design RNA was extracted with RNeasy Kit (QIAGEN, Hilden, Germany; cat. ID: 74106) and quantified with High Sensitivity Qubit™ RNA Assay Kits (Invitrogen™, Waltham, MA, USA; cat. ID: Q32855). Transcriptome assay was performed using Illumina Stranded Total RNA Prep, Ligation with Ribo-Zero Plus (Illumina, San Diego, CA, USA) and sequenced on the NextSeq550 or NOVAseqX (Illumina Inc, San Diego, CA, USA). Paired-end runs were sequenced in 74 cycles per read (2 X 74), with an average of 41.5 million reads per sample.
 
Contributor(s) Maschietto M
Citation(s)
  • Silva FLT, Euzébio MF, Ruas JS, Franco MT et al. Classification of pediatric soft and bone sarcomas using DNA methylation-based profiling. BMC Cancer 2024 Nov 20;24(1):1428. PMID: 39567898
Submission date Aug 19, 2024
Last update date Feb 04, 2025
Contact name Felipe Silva
E-mail(s) felipeluztorres@outlook.com
Organization name Boldrini
Street address R. Márcia Mendes, 506
City Campinas
ZIP/Postal code 13083-884
Country Brazil
 
Platforms (2)
GPL21697 NextSeq 550 (Homo sapiens)
GPL34281 Illumina NovaSeq X (Homo sapiens)