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Single-cell profiling of co-cultures of GSCCs and macrophages

This dataset contains scRNA-seq data from 8 co-cultures of GSCCs and macrophages, and 1 monoculture of macrophages. Samples were individually labeled and pooled using MULTI-seq technology and processed with 10x Genomics Technology.

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The VIB-UZL Data Access Committee governs the access to human datasets that are subject to the GDPR and for which VIB and UZL are joint controllers.

Access to VIB-UZL human datasets is governed by a data access procedure. Entities or persons that want to have access to a dataset that is subject to the GDPR must fill in a data access request form which will be considered by the joint VIB-UZL Data Access Committee (DAC). The DAC will consider the research project for which access to the dataset is requested and check the original ICF under which the patient samples were collected and verify whether the goal of the proposed research is compatible with the patient’s consent. When access to a dataset is granted, a data transfer agreement will be made that will include the necessary conditions to ensure compliance with the GDPR.

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
EGAS00001007482 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
EGAF00008203820 fastq.gz 100.5 MB
EGAF00008203821 fastq.gz 205.8 MB
EGAF00008203822 fastq.gz 441.8 kB
EGAF00008203823 fastq.gz 886.1 kB
EGAF00008203825 fastq.gz 2.2 GB
EGAF00008203826 fastq.gz 5.0 GB
EGAF00008203827 fastq.gz 2.2 GB
EGAF00008203828 fastq.gz 4.9 GB
EGAF00008203829 fastq.gz 2.2 GB
EGAF00008203830 fastq.gz 5.0 GB
EGAF00008203831 fastq.gz 2.2 GB
EGAF00008203832 fastq.gz 4.9 GB
12 Files (29.0 GB)