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. 2024 Dec 3;15:10537. doi: 10.1038/s41467-024-54927-2

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 3 — a SILAC workflow for the proteomic analysis of Spint1^fl/fl and Spint1^−/− islets (4 mice per group). b Gene ontology (GO) analysis of the biological processes for differentially regulated proteins in the SILAC analysis of Spint1^fl/fl and Spint1^−/− islets. The biological processes significantly affected the downregulated and upregulated protein groups in Spint1^−/− pancreatic islets compared to Spint1^fl/fl islets listed in the upper and lower panels, respectively. The fractions in the histograms represent the proportion of identified proteins (numerator) in our dataset that correspond to those pathways, with the denominator indicating the total number of proteins in each pathway. c Protein abundance differences between Spint1^fl/fl and Spint1^−/− islets. The graph was generated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the biological pathways for the differentially regulated proteins between Spint1^fl/fl and Spint1^−/− islets. The differentially regulated proteins were divided into the downregulated (upper panel) and upregulated (lower panel) groups in Spint1^−/− islets. The biological pathways with significant alteration in this study (e.g., insulin-related pathways) are highlighted with color dots in the graphs. d Analysis of the most highly regulated signal pathways using ingenuity pathway analysis (IPA) to examine the proteins differentially expressed in Spint1^−/− islets relative to Spint1^fl/fl islets. The top six differentially regulated signal pathways were identified using the threshold of −log (P value) >3. Downregulated pathways are represented by blue bars, while upregulated pathways are indicated by orange bars in Spint1^−/− islets compared to Spint1^fl/fl islets. The fractions in the histograms show the proportion of the identified proteins (numerator) in our database that correspond to those pathways, with the denominator indicating the total number of proteins in each pathway. e Top five diseases and disorders identified through IPA of the differentially regulated proteins in Spint1^−/− islets compared to Spint1^fl/fl islets. The fractions in the table represent the number of the identified proteins associated with various diseases and disorders (numerator) relative to the total number of proteins for the corresponding disease and disorder in the IPA dataset (denominator). Statistical analysis was performed using a two-sided Fisher’s exact test, and the false discovery rate was controlled using the Benjamini–Hochberg procedure to correct p values (P) for (b, d, e). Source data are provided as a Source Data file.