HipSci___RNAseq___Rare_Monogenic Diabetese
The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we perform RNAseq on iPS cells generated from skin biopsies or blood samples from rare disease patients diagnosed with Monogenic Diabetes. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00001001953 | Illumina HiSeq 2000 | 1 | |
| EGAD00001001955 | Illumina HiSeq 2000 | 1 | |
| EGAD00001003180 | Illumina HiSeq 2000 Illumina HiSeq 2500 | 1 | |
| EGAD00001003530 | Illumina HiSeq 2000 Illumina HiSeq 2500 | 1 |
| Publications | Citations |
|---|---|
|
Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression.
Nat Commun 11: 2020 810 |
115 |
|
Optimizing expression quantitative trait locus mapping workflows for single-cell studies.
Genome Biol 22: 2021 188 |
29 |