Download CGGA data

*It was updated on Jan 4, 2022, and older versions is available here.
Open access to single cell sequencing data from the CGGA network (6,148 cells from 73 regions of 13 glioma patients)


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: mRNAseq_325
Data type: mRNA sequencing
Platform: Illumina HiSeq 2000 or 2500
Total number of samples: 325
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. Bao, Z.S., Chen, H.M., Yang, M.Y., et al. (2014). RNA-seq of 272 gliomas revealed a novel, recurrent PTPRZ1-MET fusion transcript in secondary glioblastomas. Genome research 24, 1765-1773
3. Zhao, Z., Meng, F., Wang, W., et al. (2017). Comprehensive RNA-seq transcriptomic profiling in the malignant progression of gliomas. Scientific data 4, 170024
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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.
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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.
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DataSet ID: mRNA sequencing (non-glioma as control)
Data type: 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.
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*Browse the 'About' section for details of data processing



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