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RNA sequencing of genetically modifed immortalized megakaryocytes

The dataset contains bulk RNAseq samples from 7 ITGB3 mutants (3 with ITGB3 knock-out and 4 with an ITGB3 splice variant) compared to 4 wildtypes. The ITGB3 mutants and WT_1 and WT_2 are from the same batch; WT_3 and WT_4 are from another sequencing batch. The library was performed using the TruSeq Stranded Total RNA with Ribo-Zero H/M/R_Gold kit and the read length is 100 bp.

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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
EGAS50000001711 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
EGAF50000433885 fastq.gz 2.1 GB
EGAF50000433886 fastq.gz 2.2 GB
EGAF50000433913 fastq.gz 1.7 GB
EGAF50000433914 fastq.gz 1.6 GB
EGAF50000709814 fastq.gz 2.0 GB
EGAF50000709815 fastq.gz 1.9 GB
EGAF50000709816 fastq.gz 2.3 GB
EGAF50000709817 fastq.gz 2.3 GB
EGAF50000709818 fastq.gz 2.1 GB
EGAF50000709819 fastq.gz 2.1 GB
EGAF50000709820 fastq.gz 1.6 GB
EGAF50000709821 fastq.gz 1.5 GB
EGAF50000709822 fastq.gz 1.9 GB
EGAF50000709823 fastq.gz 1.9 GB
EGAF50000709824 fastq.gz 1.9 GB
EGAF50000709825 fastq.gz 1.9 GB
EGAF50000709826 fastq.gz 1.6 GB
EGAF50000709827 fastq.gz 1.6 GB
EGAF50000709828 fastq.gz 1.9 GB
EGAF50000709829 fastq.gz 1.9 GB
EGAF50000709830 fastq.gz 1.9 GB
EGAF50000709831 fastq.gz 1.9 GB
22 Files (41.8 GB)