Download CGGA data
*It was updated on September 18, 2025, and older
versions is available here.
Open access to MRI image data
| DataSet ID: CCell_4083 |
| Data type: Multi-omics |
| Platform: Methylation_EPIC, RNA-seq, 10X scRNA-seq, Phosphoproteomics, Proteomics |
| Total number of samples: 35 samples. |
| If you use this part of the data (or method included in it), please consider to cite: 1. Tang, JH., Fan, WH., Ruan YY., et al. Protein-based classification reveals an immune-hot subtype in IDH mutant astrocytoma with worse prognosis (2025). Cancer Cell 11:S1535-6108(25)00363-0. 2. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12. > |
Download
|
| DataSet ID: Image-genomic data |
| Data type: Image-genomic data |
| Platform: MRI |
| Total number of samples: 268 |
| If you use this part of the data (or method
included in it), please consider to cite: 1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12. 2. Li, Y., Liang, Y., Sun, Z., et al. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging. Neuroradiology. 2019 Nov;61(11):1229-1237. |
Download
|
| DataSet ID: scRNA-seq |
| Data type: Single-cell sequencing |
| Platform: STRT-seq |
| Total 6,148 cells, involving in 73 regions from 14 patients. |
| If you use this part of the data (or method
included in it), please consider to cite: 1. Li, GZ., Li, Lin., Li, YM., et al. An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in glioma (2021). Brain 2022 Feb 6. 2. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12. 3. Yu, Kai., Hu, Yuqiong., Wu, Fan., et al. Surveying brain tumor heterogeneity by single-cell RNA-sequencing of multi-sector biopsies (2020). National Science Review 7(8):1306–1318 |
Download
|
| DataSet ID: Spatiotemporal transcriptome data |
| Data type: mRNA sequencing |
| Platform: Illumina HiSeq |
| Total number of samples: Longitudinal samples: 141; Spatial samples: 67 |
| If you use this part of the data (or method
included in it), please consider to cite: 1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12. 2. Feng, J., Zhao, Z., Wei, Y., Bao, Z., et al. Temporal and Spatial Stability of the EM/PM Molecular Subtypes in Adult Diffuse Glioma. (To be submitted). |
| Further information and requests for resources should be directed to the Lead Contact, Tao Jiang or Xiaolong Fan (taojiang1964@163.com or xfan@bnu.edu.cn) |
| DataSet ID: methyl_159 |
| Data type: DNA methylation microarray |
| Platform: Illumina Infinium HumanMethylation27 Bead-Chips |
| Total number of samples: 159 |
| If you use this part of the data (or method
included in it), please consider to cite: 1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12. |
Download
|
| DataSet ID: microRNA_198 |
| Data type: microRNA microarray |
| Platform: human v2.0 miRNA Expression BeadChip (Illumina) |
| Total number of samples: 198 |
| If you use this part of the data (or method
included in it), please consider to cite: 1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12. |
Download
|
| DataSet ID: mRNA sequencing (non-glioma as control) |
| Data type: mRNA sequencing |
| Platform: Illumina HiSeq |
| Total number of samples: 20 |
| If you use this part of the data (or method
included in it), please consider to cite: 1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12. |
Download
|
| DataSet ID: scRNA-seq data |
| Data type: scRNA-seq data |
| Platform: 10X Genomics |
| Total number of samples: 16 IDH-mutant samples |
| Download |
*Browse the 'About' section for details of
data processing