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10X 3' V2 data of single immune cells in hepatocellular carcinoma

The immune microenvironment of hepatocellular carcinoma (HCC) is poorly characterized. Combining two single-cell RNA sequencing technologies, we produced transcriptomes of CD45+ immune cells for HCC patients from five immune-relevant sites: tumor, adjacent liver, hepatic lymph node (LN), blood, and ascites. This is the droplet data of this study

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Data access policy of sequencing data from BIOPIC, Peking University.The DATA ACCESS AGREEMENT is provided at https://github.com/zhangyybio/single-T-cell-data-access. To get the access to raw data, an agreement must be made first. Please fill in the form in https://github.com/zhangyybio/single-T-cell-data-access, and send me (cancerpku@pku.edu.cn) the document with signatures added. Particularly,in the page 4 of the agreement, table "Agreed for User Institution" should contain the signature of the person who can represent your institution, such as institution director

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001003449 Other

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00003205459 bam 19.2 GB
EGAF00003205460 bam 18.7 GB
EGAF00003205461 bam 17.8 GB
EGAF00003205462 bam 18.3 GB
EGAF00003205463 bam 13.5 GB
EGAF00003205464 bam 15.3 GB
EGAF00003205465 bam 12.1 GB
EGAF00003205467 bam 18.3 GB
EGAF00003205468 bam 20.5 GB
EGAF00003205469 bam 18.4 GB
EGAF00003205470 bam 20.7 GB
EGAF00003205471 bam 18.1 GB
EGAF00003205472 bam 21.0 GB
EGAF00003205473 bam 20.6 GB
EGAF00003205474 bam 18.3 GB
EGAF00003205475 bam 18.6 GB
EGAF00003205476 bam 18.8 GB
EGAF00003205580 bam 18.4 GB
EGAF00003205581 bam 20.0 GB
19 Files (346.6 GB)