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scRNA sequencing of 14 human duodenum epithelial layer from HV and patients with liver cirrhosis

14 samples of scRNA-sequencing data. Duodenum samples of 14 patients (human) that are healthy volunteers (3), with compensated liver cirrhosis (5) or decompensated liver cirrhosis (6) were sequenced for scRNA-seq. We wanted to see, transcriptionally what differs between HV, CC and DC patients. The sequencing was mainly done on the epithelial layer of the duodenum using an Illumina Nova seq 6000 (10X)

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Data policy of Data Access Committee of UZ Leuven

The procedure described below always applies to re-use transfer of genomic or genetic data that are in an external database. This external database can be the European Genome-phenome Archive (EGA). When a researcher receives requests for reuse of data, or when the database requires an intervention of a data access committee, the DAC will assess these requests for reuse and transfer of genomic or genetic data by third parties. Patient consent to research participation (ICF) and compatibility with new data processing should be checked. An application should be submitted at dac@uzleuven.be. So applications for re-use of genomic/genomic data go through the DAC. In the first place, DAC performs a front desk function here. An application form should be completed by the applicant. To begin with, the DAC employee then checks the ICF and its compatibility with further use. The DAC employee also ensures that a check is made with the competent services to ensure that there are no legal impediments. If i) there are possible commercial interests (commercial use of the data by the recipient or the requesting party is a commercial party), ii) the researcher does not agree, or iii) there is some ambiguity about potential risks of the data transfer (e.g. violation (GDPR) legislation, identity of recipient party, use of the data), the question is referred to the DAC advisory board.

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
EGAS50000002169 Transcriptome Sequencing

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 Quality Report
Located in
EGAF50001040553 fastq.gz 14.9 GB
EGAF50001040554 fastq.gz 33.1 GB
EGAF50001040555 fastq.gz 14.4 GB
EGAF50001040556 fastq.gz 31.8 GB
EGAF50001040557 fastq.gz 11.1 GB
EGAF50001040558 fastq.gz 25.7 GB
EGAF50001040559 fastq.gz 10.8 GB
EGAF50001040560 fastq.gz 23.9 GB
EGAF50001040561 fastq.gz 11.8 GB
EGAF50001040562 fastq.gz 27.3 GB
EGAF50001040563 fastq.gz 8.7 GB
EGAF50001040564 fastq.gz 19.6 GB
EGAF50001040565 fastq.gz 9.7 GB
EGAF50001040566 fastq.gz 22.1 GB
EGAF50001040567 fastq.gz 11.8 GB
EGAF50001040568 fastq.gz 27.2 GB
EGAF50001040569 fastq.gz 10.4 GB
EGAF50001040570 fastq.gz 23.8 GB
EGAF50001040571 fastq.gz 9.1 GB
EGAF50001040572 fastq.gz 20.5 GB
EGAF50001040573 fastq.gz 22.4 GB
EGAF50001040574 fastq.gz 9.9 GB
EGAF50001040575 fastq.gz 10.4 GB
EGAF50001040576 fastq.gz 23.6 GB
EGAF50001040577 fastq.gz 10.3 GB
EGAF50001040578 fastq.gz 23.0 GB
EGAF50001040579 fastq.gz 8.4 GB
EGAF50001040580 fastq.gz 17.9 GB
28 Files (493.5 GB)