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Supplementary Figure 2.1. Interlinked contiguous quartet of interacting proteins (Cdh1, Agt, Rps6kb1, and Bmi1) Supplementary Table 2.1. LC-MS/MS identification of proteins in NOD mouse pancreas Supplementary Table 2.2. Proteins identified in the pancreas of mice Supplementary Table 2.3. Interrogation of the protein network using specific search terms Supplementary Table 2.4. Differentially expressed genes with a logarithmic fold change of >1 or <1, and a false discovery rate <0.05 in NIT-1 β-cells treated with FhHDM-1 as compared to untreated cells Supplementary Table 3.1. Proteins with significantly different abundance in FhHDM-1 treated β-cells compared to untreated controls Supplementary Table 4.1. Predicted gene targets for differentially expressed miRNAs in FhHDM-1 treated β-cells compared to untreated (Un) controls Supplementary Table 4.2. Predicted gene targets of differentially expressed miRNAs in FhHDM-1 treated β-cells compared to untreated (Un) controls, common across all online miRNA gene target prediction tools mIRDB, DIANA and Target Scan Supplementary Table 4.3A. List of predicted gene targets from miRNA upregulated in FhHDM-1 treated β-cells within each PANTHER DB category of molecular function and biological process (from Figure 2). Supplementary Table 4.3B. KEGG pathway analysis of predicted gene targets from miRNA downregulated in FhHDM-1 treated β-cells compared to untreated controls Supplementary Table 4.4. List of matched gene targets from miRNA downregulated in FhHDM-1 treated β-cells within each PANTHER DB category of molecular function and biological process (from Figure 4.5). Supplementary Table 4.5. Differentially expressed miRNAs in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines, compared to cytokines alone Supplementary Table 4.6. Predicted gene targets for differentially expressed miRNAs in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cytokines (CM) alone Supplementary Table 4.7. Predicted gene targets of differentially expressed miRNAs in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cytokines (CM) alone, common across all online miRNA gene target prediction tools mIRDB, DIANA and Target Scan Supplementary Table 4.8. KEGG pathway analysis of predicted gene targets from miRNA upregulated in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cytokines alone Supplementary Table 4.9. KEGG pathway analysis of predicted gene targets from miRNA downregulated in FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines compared to cyokines alone Supplementary Table 4.10. Differentially expressed genes in the transcriptome of FhHDM-1 treated β-cells exposed to pro-inflammatory cytokines, compared to cytokines alone Supplementary Table 4.11. Matched gene targets common between transcriptome and predicted gene targets of differentially expressed miRNA in FhHDM-1 treated β-cells under inflammatory conditions compared to pro-inflammatory cytokine only (CM) controls. Supplementary Table 4.12. KEGG pathway analysis of matched genes downregulated in the transcriptome with their corresponding regulatory miRNA upregulated in FhHDM-1 β-cells exposed to pro-inflammatory cytokines compared to cytokines alone Supplementary Table 4.13. KEGG pathway analysis of matched genes upregulated in the transcriptome with their corresponding regulatory miRNA downregulated in FhHDM-1 β-cells exposed to pro-inflammatory cytokines compared to cytokines alone arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/identifier c8025bb01eac11ee83d1a16b16f71664 arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/identifier https://w3id.org/np/RA8MF1g4qFhRCtzxl3oCUXhBu-W-fJVehUkCgSzmdGUtg/_2 arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/identifier https://w3id.org/np/RA8MF1g4qFhRCtzxl3oCUXhBu-W-fJVehUkCgSzmdGUtg/_3 arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords Fasciola arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords FhHDM arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords IGF arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords PI3K arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords apoptosis arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords beta cell arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords helminth arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords miRNA arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/keywords type 1 diabetes arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/license https://w3id.org/np/RA8MF1g4qFhRCtzxl3oCUXhBu-W-fJVehUkCgSzmdGUtg/_4 arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/memberOf arcp://name,uts_public_data_repo/uts_root_collection arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/name Inah Camaya PhD - Supplementary Data arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/publisher https://www.uts.edu.au/ arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/yearCreated 2023 arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://schema.org/yearPublished 2023 arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://pcdm.org/models#Object arcp://name,uts_public_data_repo/c8025bb01eac11ee83d1a16b16f71664 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset arcp://name,uts_public_data_repo/uts_root_collection http://purl.org/dc/terms/conformsTo https://w3id.org/ldac/profile#Collection arcp://name,uts_public_data_repo/uts_root_collection http://schema.org/description This is the UTS Research Data Portal. 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The parasite-derived peptide FhHDM-1 activates the PI3K/Akt pathway to prevent cytokine-induced apoptosis of β-cells. J Mol Med (Berl). 2021 Nov;99(11):1605-1621. doi: 10.1007/s00109-021-02122-x. https://link.springer.com/article/10.1007/s00109-021-02122-x http://schema.org/identifier https://link.springer.com/article/10.1007/s00109-021-02122-x https://link.springer.com/article/10.1007/s00109-021-02122-x http://schema.org/name The parasite-derived peptide FhHDM-1 activates the PI3K/Akt pathway to prevent cytokine-induced apoptosis of β-cells https://link.springer.com/article/10.1007/s00109-021-02122-x http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ScholarlyArticle https://onlinelibrary.wiley.com/doi/10.1111/1753-0407.13252 http://schema.org/description Camaya I, Donnelly S, O'Brien B. Targeting the PI3K/Akt signaling pathway in pancreatic β-cells to enhance their survival and function: An emerging therapeutic strategy for type 1 diabetes. 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