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Series GSE255044 Query DataSets for GSE255044
Status Public on Feb 08, 2024
Title Rapid DNA methylation-based classification of pediatric brain tumours from ultrasonic aspirate specimens
Organism Homo sapiens
Experiment type Methylation profiling by high throughput sequencing
Summary Cavitating ultrasonic aspirator devices are frequently used in pediatric neurosurgery for efficient microsurgical resection of brain tumours while minimizing tissue damage to surrounding healthy brain. Within this study molecular diagnostics using methylation-based classification of ultrasonic aspirated samples was performed and performance against routine microarray diagnostics was assessed.
 
Overall design 21 pediatric brain tumor cases acquired by an ultrasonic-cavitating aspirator were submitted to DNA extration, quality control and library preparation with subsequent six hour nanopore sequencing. Classification of cases was performed using a neural network classification model and classification calls were compared to routine microarray diagnostics.
***Submitter declares that the raw data has been deposited at European Genome Archive due to local regulations***
 
Contributor(s) Simon M, Kuschel LP, von Hoff K, Yuan D, Driever PH, Hain EG, Koch A, Capper D, Schulz M, Thomale U, Euskirchen P
Citation(s) 38769169
Submission date Feb 05, 2024
Last update date Aug 16, 2024
Contact name Luis Philipp Kuschel
E-mail(s) luis-phillip.kuschel@charite.de
Organization name Charité Universitätsmedizin Berlin
Department Abteilung für experimentelle Neurologie
Street address Robert-Koch-Platz 4
City Berlin
ZIP/Postal code 10115
Country Germany
 
Platforms (1)
GPL24106 MinION (Homo sapiens)
Samples (21)
GSM8062947 DX-BLN-025
GSM8062948 DX-BLN-027
GSM8062949 DX-BLN-028
Relations
BioProject PRJNA1073412

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE255044_RAW.tar 121.6 Mb (http)(custom) TAR (of TXT)
GSE255044_all_samples.csv.gz 3.0 Mb (ftp)(http) CSV
Raw data not provided for this record

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