Need Help?

Genome editing strategies to generate working models in Polycystic Kidney Disease

Bulk RNA-seq of genome-edited HEK293T cell lines engineered to model specific PKD1 variants. These clones were created with the purpose of enabling the exploration of genotype-phenotype correlations in Polycystic Kidney Disease (PKD)

Request Access

DUO:0000018
version: 2021-02-23

not for profit, non commercial use only

This data use modifier indicates that use of the data is limited to not-for-profit organizations and not-for-profit use, non-commercial use.

DUO:0000020
version: 2021-02-23

collaboration required

This data use modifier indicates that the requestor must agree to collaboration with the primary study investigator(s).

DUO:0000042
version: 2021-02-23

general research use

This data use permission indicates that use is allowed for general research use for any research purpose.

FGU-DAC Policy for controlled-access data

Access is granted for research uses consistent with the original participant consent and ethics approvals. Approved users must: (i) use the data only for the approved project; (ii) store data on secure, access-controlled systems; (iii) not attempt re-identification or contact participants; (iv) not redistribute data beyond the named personnel and systems; (v) report breaches immediately to the DAC; (vi) restrict use to not-for-profit, non-commercial research; (vii) work in collaboration with the Functional Genomics Unit (FGU) - at a minimum, this requires citation of the dataset accession and the Unit in all outputs. When the dataset is a central component of the research findings, or when members of the Unit contribute scientifically (e.g. analysis, interpretation, or writing), co-authorship should be discussed and offered in accordance with journal authorship guidelines; (viii) acknowledge the dataset accession and the University of Turin Functional Genomics Unit in all publications and presentations. Publication embargoes or retention limits (if any) are specified in the DAA. The DAC records decisions and may request periodic progress or data-destruction attestations

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
EGAS50000001188 Transcriptome Sequencing
  • Changed the DAC
  • Dataset Released

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
EGAF50000416930 fastq.gz 1.3 GB
EGAF50000416931 fastq.gz 1.3 GB
EGAF50000416932 fastq.gz 1.1 GB
EGAF50000416933 fastq.gz 1.1 GB
EGAF50000416934 fastq.gz 1.0 GB
EGAF50000416935 fastq.gz 1.0 GB
EGAF50000416936 fastq.gz 1.3 GB
EGAF50000416937 fastq.gz 928.0 MB
EGAF50000416938 fastq.gz 1.4 GB
EGAF50000416939 fastq.gz 954.8 MB
EGAF50000416940 fastq.gz 1.6 GB
EGAF50000416941 fastq.gz 1.6 GB
EGAF50000416942 fastq.gz 2.1 GB
EGAF50000416943 fastq.gz 2.1 GB
EGAF50000416944 fastq.gz 917.0 MB
EGAF50000416945 fastq.gz 929.8 MB
EGAF50000416946 fastq.gz 1.5 GB
EGAF50000416947 fastq.gz 1.6 GB
EGAF50000416948 fastq.gz 2.7 GB
EGAF50000416949 fastq.gz 2.7 GB
EGAF50000416950 fastq.gz 1.4 GB
EGAF50000416951 fastq.gz 1.5 GB
EGAF50000416952 fastq.gz 1.6 GB
EGAF50000416953 fastq.gz 1.6 GB
24 Files (35.3 GB)