Longitudinal Single-cell Genomic Analysis of Initial and Recurrent Meningioma

This study investigates the genomic evolution of meningioma through single-cell whole genome sequencing analysis of paired tumor samples. We analyzed tumor tissues from initial and recurrent meningiomas from the same patients to understand clonal evolution and tumor progression. The research aims to characterize copy number alterations and genomic heterogeneity at single-cell resolution across different time points of tumor development.

Type: Whole Genome Sequencing
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000001254	This dataset comprises low-coverage (~0.5X) whole genome sequencing data from 179 single cells isolated from paired meningioma samples (88 cells from initial grade II and 91 cells from recurrent grade III tumor from the same patient). The single-cell libraries were constructed using Primary Template Amplification and ResolveDNA protocol, with libraries subsequently sequenced on NextSeq 1000 using 2x150bp paired-end reads targeting 8M reads per cell. This dataset includes the sequencing data in Fastq format.	NextSeq 1000	2

Publications	Citations
High-resolution detection of copy number alterations in single cells with HiScanner. Zhao Y, Luquette LJ, Veit AD, Wang X, Xi R, Viswanadham VV, Zhang Y, Shao DD, Walsh CA, Yang HW, Johnson MD, Park PJ. Nat Commun 16: 2025 5477	0