Download | CGGA - Chinese Glioma Genome Atlas

Download CGGA data

*It was updated on June 20, 2022, and older versions is available here.
Open access to read counts data for mRNAseq_693 and mRNAseq_325 datasets.

DataSet ID: scRNA-seq

Data type: Single-cell sequencing

Platform: STRT-seq

Total 6,148 cells, involving in 73 regions from 13 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

Clinical Data [Total number of visits: 1160]
scRNAseq UMI Count Matrix [Total number of visits: 935]
Raw Fastq Data (BIGD accession number: HRA000179)

DataSet ID: Spatiotemporal transcriptome data

Data type: mRNA sequencing

Platform: Illumina HiSeq

Total number of samples: Longitudinal samples: 141; Spatial samples: 67

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: Spatiotemporal WES data

Data type: Whole-exome sequencing

Platform: Agilent SureSelect kit v5.4 & Illumina HiSeq 4,000

Total number of samples: Longitudinal samples: 10; 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. Yang, C., Tan, Y., Li, S., et al. (2019). Genomic landscapes by multiregion sequencing combined with circulation tumor DNA detection contribute to molecular diagnosis in glioblastomas. Aging 11, 11224-11243
3. 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: Image-genomic data

Data type: Image-genomic data

Platform: MRI

Total number of samples: 274

Further information and requests for resources should be directed to the Lead Contact, Tao Jiang (taojiang1964@163.com)

DataSet ID: WESeq_286

Data type: Whole-exome sequencing

Platform: Agilent SureSelect kit v5.4 & Illumina HiSeq 4,000

Total number of samples: 286

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. Hu, H., Mu, Q., Bao, Z., et al. (2018). Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor. Cell 175, 1665-1678 e1618.
3. Jiang, T., Mao, Y., Ma, W., et al. (2016). CGCG clinical practice guidelines for the management of adult diffuse gliomas. Cancer Lett 375(2):263-273.

Download