Supporting data for: Type 1 diabetes risk genes mediate pancreatic beta cell survival in response to proinflammatory cytokines
Creators
- Paola Benaglio1
- Han Zhu1
- Mei-Lin Okino1
- Jian Yan1
- Ruth Elgamal1
- Naoki Nariai1
- Elisha Beebe1
- Katha Korgaonkar1
- Yunjiang Qiu1
- Margaret Donovan1
- Joshua Chiou1
- Gaowei Wang1
- Jacklyn Newsome1
- Jaspreet Kaur1
- Sierra Corban1
- Anthony Aylward1
- Jussi Taipale2
- Bing Ren1
- Kelly A Frazer1
- Maike Sander1
- Kyle J Gaulton1
- 1. UC San Diego
- 2. Karolinska Institutet
Description
SUMMARY OF THE STUDY
We combined functional genomics and human genetics to investigate processes that affect type 1 diabetes (T1D) risk by mediating beta-cell survival in response to proinflammatory cytokines. We mapped 38,931 cytokine-responsive candidate cis-regulatory elements (cCREs) in beta-cells using ATAC-seq and snATAC-seq and linked them to target genes using co-accessibility and HiChIP. Using a genome-wide CRISPR screen in EndoC-βH1 cells we identified 867 genes affecting cytokine-induced survival, and genes promoting survival and up-regulated in cytokines were enriched at T1D risk loci. Using SNP-SELEX, we identified 2,229 variants in cytokine-responsive cCREs altering transcription factor (TF) binding, and variants altering binding of TFs regulating stress, inflammation and apoptosis were enriched for T1D risk. At the 16p13 locus, a fine-mapped T1D variant altering TF binding in a cytokine-induced cCRE interacted with SOCS1, which promoted survival in cytokine exposure. Our findings reveal processes and genes acting in beta-cells during inflammation that modulate T1D risk.
DESCRIPTION OF FILES:
- Supplementary Data 1. List of islet cCREs annotated with cell type and cytokine response - also in GSE205853
- Supplementary Data 2. Coaccessible sites in untreated beta cells and promoter annotations - also in GSE205853
- Supplementary Data 3. Coaccessible sites in cytokine-treated beta cells and promoter annotations - also in GSE205853
- Supplementary Data 4. Coaccessible sites in cytokine treated and untreated beta cells and promoter annotations - also in GSE205853
- Supplementary Data 5. Chromatin interactions in EndoC-BH1 cells - also in GSE205853
- Supplementary Data 6. Variants selected for SNP-SELEX assay
- Supplementary Data 7. Variants with TF binding and allelic binding results from SNP-SELEX
- Supplementary Data 8. snATAC-seq barcodes and metadata - also in GSE205853
- Supplementary Data 9. CRISPR-KO screen results - also in GSE205853
- Supplementary Data 10. Bulk ATAC-seq count matrix - also in GSE205853
- Supplementary Data 11. Bulk RNA-seq count matrix - also in GSE205853
- Supplementary Data 12. Alpha cells snATAC-seq count matrix - also in GSE205853
- Supplementary Data 13. Acinar cells snATAC-seq count matrix - also in GSE205853
- Supplementary Data 14. Beta cells snATAC-seq count matrix - also in GSE205853
- Supplementary Data 15. Stellate cells snATAC-seq count matrix - also in GSE205853
- Supplementary Data 16. Endothelial cells snATAC-seq count matrix - also in GSE205853
- Supplementary Data 17. Delta cells snATAC-seq count matrix - also in GSE205853
- Supplementary Data 18. Luciferase assay rs10483809
- Supplementary Data 19. SOCS1 knockdown qPCR results
- Supplementary Data 20. SOCS1 knockdown Apotracker (flow-cytometry)results
Raw data deposited at GEO, accessions GSE205853 and GSE118725.
Please refer to publication and GEO for details on methods.
Files
Supplementary_Data_07_SNP-SELEX_results.txt
Files
(359.0 MB)
Name | Size | Download all |
---|---|---|
md5:dda1c3a427c1eff46f36e06a354cd662
|
5.3 MB | Download |
md5:4ad4643b56fb08289e6a1cb87dfb5cec
|
20.9 MB | Download |
md5:3e7b38a03972a129e8466d03983a87f7
|
29.8 MB | Download |
md5:c1c6b332e39a0e08693e1adf48b6c90f
|
32.8 MB | Download |
md5:832cdc1a59c2b09e747e219ebc07bdfb
|
2.6 MB | Download |
md5:d82f54f9270da4b9795ba11d28e1027d
|
8.9 MB | Download |
md5:2d458dcd6ab127bd055ec03f38d67a3c
|
191.6 MB | Preview Download |
md5:ee460f3879527b6def3413cef1190bbb
|
2.0 MB | Preview Download |
md5:83f4844faf616c122ddeb117a6fb5fa8
|
895.8 kB | Preview Download |
md5:52e5b1bc25a77a749744c5cc19beff71
|
23.6 MB | Preview Download |
md5:40c25ece6454aac3eb8ab80d6e8521b6
|
3.6 MB | Preview Download |
md5:37626aac1e904ced57996fa4c1215ae6
|
6.4 MB | Preview Download |
md5:c73eb4663e0e58f3e10408d58fb361a2
|
6.0 MB | Preview Download |
md5:ab352271b79ebac38a96c309c95a83d1
|
6.5 MB | Preview Download |
md5:dab35a92344dd9d382955443d1a17d96
|
6.1 MB | Preview Download |
md5:a2218c5616e68c09b8c4f322618d757a
|
6.0 MB | Preview Download |
md5:651f2a18967a217582c2f50169bc6740
|
6.1 MB | Preview Download |
md5:9611ac8f1239debd21a042597a361063
|
1.1 kB | Preview Download |
md5:4fcec0987baf6266c730db2710e56702
|
19.7 kB | Download |
md5:0a20763067928d148ea9be6f5dc78f3a
|
184 Bytes | Preview Download |
Additional details
Related works
- Is supplement to
- Preprint: https://www.biorxiv.org/content/10.1101/2021.10.29.466025v1 (URL)
- Software documentation: 10.5281/zenodo.7183895 (DOI)