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pancreas_lab_meeting
1. Cell intrinsic cause for type one diabetes
Group meeting by Roy Novoselsky24.11.2022
2. Collaboration with Yuval Dors lab from HUJI
Prof. Yuval DorDr. Agnes Klochender
Shani Peleg
3. The project is about…
Aluelements
RNA
editing
Interferon
response
Type 1
diabetes
4. Introduction – autoimmune type 1 diabetes
• Caused by depletion of beta cells in islets of Langerhans (Insulitis)• High abundance (>1:1000 in population)
Alu
elements
RNA
editing
Interferon
response
Type 1
diabetes
• Mechanism differs from T1D that follows T2D
• Treatment is by Insulin injection and monitoring of blood glucose level, but no cure
• Definitive cause is still unknown!
• Leading theory – viral infection causes diabetes:
o Autoimmune surveillance of hypersecreting mutants
o Molecular mimicry
o Inflammation
Marroque et al. 2021
5. Introduction – autoimmune type 1 diabetes
Aluelements
RNA
editing
Interferon
response
Type 1
diabetes
Marroque et al. 2021
6. Autoimmune surveillance of hypersecreting mutants
Alu elements• Short interspersed nuclear elements (SINEs)
• Retrotransposons (“hitchhikers” of LINEs)
• Found only in primates
• Length: ~ 300 bp
• > 1,000,000 in human genome
• > 10% of the human genome
• Play a huge role in evolution (contain 2 splice sites)
universität zu köln, Research highlights, Alu elements
Retro transposition (LINE)
Alu
elements
RNA
editing
Interferon
response
Type 1
diabetes
7. Alu elements
Adar proteins perform (A to I) RNA editing• Editing performed by Adar enzymes on dsRNA
• >12,000 editing sites in >1,600 human genes
• Functions:
o Defense against dsRNA viruses
o Editing of splicing sites
o Regulation of miRNA
o Editing of protein-coding regions
o Creates intracellular and extracellular heterogeneity
o Editing of Alu elements (vast majority of editing)
Alu
elements
RNA
editing
Interferon
response
Type 1
diabetes
8. Adar proteins perform (A to I) RNA editing
dsRNA causes interferon response and expression of ISGsALU
IFNR
IFN
(Ifih1)
MAVS
Cytoplasm
Nucleus
NFkB
IRFs
IFN + ISGs
(Interferon Stimulated Genes)
ISGs
Alu
elements
RNA
editing
Interferon
response
Type 1
diabetes
9. dsRNA causes interferon response and expression of ISGs
HypothesisViral infection
Lower RNA editing
dsRNA
Activation of IFIH1 (MDA5)
IFN signaling
T1D
Lower levels of RNA editing
might be a cause for type 1 diabetes
Alu
elements
RNA
editing
Interferon
response
Type 1
diabetes
10. Hypothesis
Experiment model and designTamoxifen
Ins
Lox
Rosa26
Cre
RNA sequencing
Adar1
Lox
Lox
Stop
Lox
YFP
Imaging
11. Experiment model and design
Knockout of Adar1 in beta cells causes mice to become diabetic12. Knockout of Adar1 in beta cells causes mice to become diabetic
Massive inflammation in beta-AdarKO*12 days post Tamoxifen injection
13. Massive inflammation in beta-AdarKO
Innate cells & Lymphocytes are present at beta-Adar -/- islet infiltratesBeta-Adar +/-
Beta-Adar -/-
14. Innate cells & Lymphocytes are present at beta-Adar -/- islet infiltrates
Plan of action – check interferon response genes in conditional Adarknockout via smFISH
Why smFISH:
• Could detect very subtle changes.
• Easy to analyze.
• Lack of antibodies for ISGs.
WT
smFISH for ISGs
B - KO
*7 days post Tamoxifen injection
Analysis
15. Plan of action – check interferon response genes in conditional Adar knockout via smFISH
Log10(mean expression in beta-ko)Interferon target genes are upregulated in Adar knockout
*7 days post Tamoxifen injection
Log10(mean expression in wt)
16. Interferon target genes are upregulated in Adar knockout
Selected Interferon target genes for smFISH validationPdl1
WT
B-KO
Ifih1
WT
B-KO
B2m
WT
B-KO
17. Selected Interferon target genes for smFISH validation
IFN target genes are expressed also in non-endocrine pancreatic celltypes
Pdl1
B2m
Ifih1
18. IFN target genes are expressed also in non-endocrine pancreatic cell types
No clear overexpression of interferon target geneseGFP
B2m
Gene
Ins
Ifih1
Gcg
DNA
Pdl1
19. No clear overexpression of interferon target genes
Quantification of smFISH images using ImageMeGFP
ISG
Ins2
DNA
20. Quantification of smFISH images using ImageM
eGFPISG
Ins2
21. Quantification of smFISH images using ImageM
Dots per volume (1/um^3)smFISH analysis reveals no significant upregulation of interferon target
genes
22. smFISH analysis reveals no significant upregulation of interferon target genes
No correlation between target genes and eGFP23. No correlation between target genes and eGFP
Do we see the same effect in alpha-KO?Lox
Rosa26
Beta-KO
Ins
Cre
Adar1
Lox
Lox
Stop
Lox
Alpha-KO
Gcg
Cre
YFP
Double-KO
Ins
Cre
Gcg
Cre
24. Do we see the same effect in alpha-KO?
No inflammation in alpha-AdarKO*12 days post Tamoxifen injection
25. No inflammation in alpha-AdarKO
smFISH analysis reveals no significant upregulation of interferon targetgenes
26. smFISH analysis reveals no significant upregulation of interferon target genes
A subset of islets show potential immune infiltration and highly elevatedlevels of B2m, but most transcripts are in non-parenchymal cells
eGFP
B2m
Ins2
DNA
27. A subset of islets show potential immune infiltration and highly elevated levels of B2m, but most transcripts are in
Extreme beta cells are present in islets of Langerhans~8% of beta cells in
healthy islets are
extreme beta cells
28. Extreme beta cells are present in islets of Langerhans
A subset of islets show potential immune infiltration and highly elevatedlevels of PDL1, including in beta cells
eGFP
Pdl1
Ins2
DNA
29. A subset of islets show potential immune infiltration and highly elevated levels of PDL1, including in beta cells
A subset of islets show potential immune infiltration and highly elevatedlevels of Ifih1
eGFP
Ifih1
Ins2
DNA
30. A subset of islets show potential immune infiltration and highly elevated levels of Ifih1
Contradiction between RNA-seq and smFISHsmFISH
No significant overexpression of the 3 ISGs
RNAseq
Very significant overexpression of the 3 ISGs
31. Contradiction between RNA-seq and smFISH
The RNAseq show very high variance in betaKO samplesB-KO
32. The RNAseq show very high variance in betaKO samples
A portion of infiltrated islands might explain the high variance in theRNAseq data
Ifih1
B-KO: 1
2
Pdl1
3
4
B-KO: 1
2
Ins
3
4
B-KO: 1
2
3
Normal islets
ISGs
Ins
Immune
4
33. A portion of infiltrated islands might explain the high variance in the RNAseq data
Conclusions• Non-infiltrated islets show no expression of ISGs
• No correlation between Adar1 knockout and ISGs expression in beta cells
• Infiltrates:
• Infiltration at 7 days <5%
• Beta cells lose Ins2 expression in the mRNA level (means the effect is on transcription, not stress
translation)
• Beta cells that remain in the infiltrates – become extreme
• Adar-KO cells are depleted (low % in late stage of infiltration)
• B2m & Ifih1 are rarely expressed in beta cells (eliminated first?)
• Pdl1 is induced in part of beta cells, co-occurrence with loss of Ins2 (protects from quick death?)
34. Conclusions
The results suggest even stronger human response to RNA editing• Mouse don’t have Alu elements
• Alu elements are the main target of Adar in humans (>90%)
• A-I editing is more prevalent in the human transcriptome than in mice (at least 100-fold)
• This suggests that even a small defect in RNA editing could cause dramatic effects in
humans
35. The results suggest even stronger human response to RNA editing
My interpretation of the resultsStochastic SINE expression (methylation & histone modification H3K9Me)
Stochastic RNA editing
Stochastic IFIH1 binding
Alu expression
Cell #1
Cell #2
IFIH1 detection / MAVS activation – threshold
INF response
No INF response
Immune recruitment
MHC1 upregulation
INF response propagation to the whole islet
Insulitis
T1D
36. My interpretation of the results
Future plans• Try to image more infiltrates (so far only 2 per mice) – later time points
• Quantify the change in ISGs in Glucagon area
• scRNAseq