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Status |
Public on Apr 10, 2024 |
Title |
Single-cell transcriptomics reveals a role for pancreatic duct cells as potential mediators of inflammation in diabetes mellitus |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Inflammation of the pancreas contributes to the development of diabetes mellitus. Although it is well-accepted that local inflammation leads to a progressive loss of functional beta cell mass that eventually causes the onset of the disease, the development of islet inflammation remains unclear. Here, we used single-cell RNA sequencing to explore the cell type-specific molecular response of primary human pancreatic cells exposed to an inflammatory environment. We identified a duct subpopulation presenting a unique proinflammatory signature among all pancreatic cell types. Overall, the findings of this study point towards a role for duct cells in the propagation of islet inflammation, and in immune cell recruitment and activation, which are key steps in the pathophysiology of diabetes mellitus.
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Overall design |
Islets from 3 diabetic donors and 1 Wolfram syndrome donor were cultured in CMRL 1066 medium with 5.5 mmol/L of glucose, 10% fetal calf serum, 20mg/mL ciprofloxacin, 50 mg/mL gentamycin, 2mmol/L L-glutamine, 10mmol/L HEPES and 1.2 mg/mL nicotinamide. Islets and islet-depleted tissue were cultured at 37°C in a 5% CO2- humidified atmosphere. Medium was refreshed upon receipt and every 2 days thereafter. The islet-depleted tissue was kept in its supplemented CMRL 1066 medium, then washed and stored overnight at 4°C in advanced DMEM/F12 with trypsin inhibitor (100ug/ml) before processing immediately in the morning.
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Contributor(s) |
Muñoz Garcia A, Groen N, Carlotti F, de Koning E |
Citation(s) |
38742118 |
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Submission date |
Apr 05, 2024 |
Last update date |
Jul 31, 2024 |
Contact name |
Françoise Carlotti |
E-mail(s) |
f.carlotti@lumc.nl
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Organization name |
Leiden University Medical Center
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Street address |
Albinusdreef 2
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City |
Leiden |
ZIP/Postal code |
2333 ZA |
Country |
Netherlands |
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Platforms (1) |
GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
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Samples (9)
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GSM8190289 |
R141, T1D, rep 1 |
GSM8190290 |
R141, T1D, rep 2 |
GSM8190291 |
R141, T1D, rep 3 |
GSM8190292 |
R154, T1D, rep 1 |
GSM8190293 |
R154, T1D, rep 2 |
GSM8190294 |
R228, Wolfram, rep 1 |
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Relations |
BioProject |
PRJNA1096823 |
Supplementary file |
Size |
Download |
File type/resource |
GSE263365_Cell_barcode_key.tsv.gz |
3.0 Kb |
(ftp)(http) |
TSV |
GSE263365_RAW.tar |
98.1 Mb |
(http)(custom) |
TAR (of MTX, TSV) |
SRA Run Selector |
Raw data are available in SRA |
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