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)
- 01/09/2025
- 12 samples
- DAC: EGAC50000000769
- Technology: NextSeq 550
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
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|---|---|---|---|---|
| EGAF50000416930 | fastq.gz | 1.3 GB |
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| EGAF50000416931 | fastq.gz | 1.3 GB |
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| EGAF50000416932 | fastq.gz | 1.1 GB |
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| EGAF50000416933 | fastq.gz | 1.1 GB |
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| EGAF50000416934 | fastq.gz | 1.0 GB |
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| EGAF50000416935 | fastq.gz | 1.0 GB |
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| EGAF50000416936 | fastq.gz | 1.3 GB |
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| EGAF50000416937 | fastq.gz | 928.0 MB |
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| EGAF50000416938 | fastq.gz | 1.4 GB |
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| EGAF50000416939 | fastq.gz | 954.8 MB |
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| EGAF50000416940 | fastq.gz | 1.6 GB |
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| EGAF50000416941 | fastq.gz | 1.6 GB |
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| EGAF50000416942 | fastq.gz | 2.1 GB |
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| EGAF50000416943 | fastq.gz | 2.1 GB |
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| EGAF50000416944 | fastq.gz | 917.0 MB |
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| EGAF50000416945 | fastq.gz | 929.8 MB |
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| EGAF50000416946 | fastq.gz | 1.5 GB |
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| EGAF50000416947 | fastq.gz | 1.6 GB |
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| EGAF50000416948 | fastq.gz | 2.7 GB |
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| EGAF50000416949 | fastq.gz | 2.7 GB |
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| EGAF50000416950 | fastq.gz | 1.4 GB |
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| EGAF50000416951 | fastq.gz | 1.5 GB |
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| EGAF50000416952 | fastq.gz | 1.6 GB |
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| EGAF50000416953 | fastq.gz | 1.6 GB |
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| 24 Files (35.3 GB) | ||||
