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| Status |
Public on Oct 03, 2023 |
| Title |
eQTL mapping of fetal-like pancreatic progenitor cells |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
The goal of this study is to understand the effects of genetic variation on gene expression in fetal-like pancreatic progenitor cells. We generated bulk RNA-seq from 107 iPSC-derived pancreatic progenitor cells (iPSC-PPC) from iPSC lines derived from 106 individuals from the iPSCORE resource. We then conducted genome-wide expression quantitative trait loci analyses to identify genetic variants associated with gene expression and isoform usage.
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| Overall design |
This repository provides bulk RNA-seq data generated from 107 iPSC-derived pancreatic progenitor samples from 106 individuals in the iPSCORE Resource (PMID: 28410642). 102 samples were sequenced twice to obtain sufficient number of reads while five samples were sequenced once because they already had sufficient reads.
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| |
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| Contributor(s) |
Nguyen J, Frazer KA, D'Antonio M |
| Citation(s) |
37903777 |
| Submission date |
Aug 25, 2021 |
| Last update date |
Nov 16, 2023 |
| Contact name |
Jennifer P. Nguyen |
| E-mail(s) |
jenniferngp001@gmail.com
|
| Phone |
4699880292
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| Organization name |
University of California - San Diego
|
| Street address |
9500 Gilman Dr
|
| City |
La Jolla |
| State/province |
California |
| ZIP/Postal code |
92093 |
| Country |
USA |
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| Platforms (1) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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| Samples (107)
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| Relations |
| BioProject |
PRJNA757719 |
| SRA |
SRP334080 |
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