The 3D evolution of glioma cell populations

Study description: A detailed understanding of heterogeneity in solid tumors has been limited due to insufficient sampling and a lack of knowledge from where within the tumor the sample was taken from. We present here a novel resource - the 3D Glioma Atlas - in which we record the precise, three-dimensional (3D) coordinate for each of 8-20 spatially-distinct samples obtained from each patient tumor.By revealing how genetic alterations and tumor cell states are patterned in glioma in 3D space, our Atlas shows that genetic diversity is more regionally confined in indolent as compared to aggressive tumors, that recurrent tumors have a greater density of genetic diversity, and that more aggressive tumors have greater tumor-wide transcriptomic heterogeneity.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

4 Datasets 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	Samples
EGAD00001005221	Dataset contains Exome sequencing data (aligned and base quality score recalibrated BAM files) for 236 tumor samples + matched normal from blood, collected from 21 patients with adult diffuse glioma. The majority of these samples were spatially-mapped during sample collection, enabling the genomic information derived from them to be mapped in 3D space.	236
EGAD00001005222	Dataset includes 160 double-stranded RNAseq libraries collected from 16 patients with adult diffuse glioma. The majority of these samples were spatially-mapped during sample collection, enabling the genomic information derived from them to be mapped in 3D space.	160
EGAD00001009496	Dataset contains paired-end Whole Exome sequencing data from 257 glioma samples from 28 patients. 26 normal blood samples are also included.	283
EGAD00001009497	Dataset contains paired-end RNA-seq sequencing data from 221 glioma samples.	221

Publications	Citations
Challenges in the discovery of tumor-specific alternative splicing-derived cell-surface antigens in glioma. Nejo T, Wang L, Leung KK, Wang A, Lakshmanachetty S, Gallus M, Kwok DW, Hong C, Chen LH, Carrera DA, Zhang MY, Stevers NO, Maldonado GC, Yamamichi A, Watchmaker PB, Naik A, Shai A, Phillips JJ, Chang SM, Wiita AP, Wells JA, Costello JF, Diaz AA, Okada H. Sci Rep 14: 2024 6362	3