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Status |
Public on Feb 18, 2020 |
Title |
Pancreas single cell patch-seq links physiologic dysfunction in diabetes to transcriptomic phenotypes |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Combined single-cell RNAseq and electrophysiological profiling of human pancreatic islet cells (pancreas patch-seq) to link transcriptomic phenotypes of islet cells to their physiologic properties.
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Overall design |
The dataset contains 1,369 pancreas patch-seq cells from human donors (nondiabetic and type II diabetes), 348 cryopreserved patch-seq cells (nondiabetic and type I diabetes) and 3,518 FACS islet cells from the same donors. In total cells from 18 nondiabetic , 7 T2D donors, 3 T1D (cryopreserved) and 3 nondiabetic donors (cryopreserved) were used. Single-cell RNA libraries are done using SmartSeq2.
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Contributor(s) |
Camunas-Soler J, Dai X, Hang Y, Kim SK, MacDonald P, Quake SR |
Citation(s) |
32302527, 37231096 |
Submission date |
Jan 07, 2019 |
Last update date |
Oct 18, 2023 |
Contact name |
Joan Camunas-Soler |
E-mail(s) |
joancs@gmail.com
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Phone |
6504604767
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Organization name |
Stanford University
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Department |
Bioengineering
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Lab |
Quake Lab
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Street address |
318 Campus Drive
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City |
Stanford |
State/province |
California |
ZIP/Postal code |
94305 |
Country |
USA |
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Platforms (2) |
GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (8477)
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Relations |
BioProject |
PRJNA513339 |
SRA |
SRP176466 |