<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12</volume><submitter>Shi R</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Alterations in natural killer (NK) cells activity cause damage to pancreatic islets in type 1 diabetes mellitus (T1DM). The aim of this study is to identify T1DM ketosis- or ketoacidosis-related genes in activated CD56&lt;sup>+&lt;/sup>CD16&lt;sup>+&lt;/sup> NK cells.&lt;h4>Methods&lt;/h4>Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using the GEO2R tool. Enrichment analyses were performed using Metascape online database and GSEA software. Cell-specific gene co-expression network was built using NetworkAnalyst tools. Cytoscape software was used to identify hub genes and construct co-expressed networks. Target miRNAs were predicted based on the DIANA-micro T, miRDB, and miRWalk online databases.&lt;h4>R</pubmed_abstract><journal>Frontiers in endocrinology</journal><pagination>750135</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8656236</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56&lt;sup>+&lt;/sup>CD16&lt;sup>+&lt;/sup> NK Cells.</pubmed_title><pmcid>PMC8656236</pmcid><pubmed_authors>Sun L</pubmed_authors><pubmed_authors>Deng D</pubmed_authors><pubmed_authors>Xu M</pubmed_authors><pubmed_authors>Shi R</pubmed_authors><pubmed_authors>He Y</pubmed_authors><pubmed_authors>Dai F</pubmed_authors><pubmed_authors>Zhang Q</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56&lt;sup>+&lt;/sup>CD16&lt;sup>+&lt;/sup> NK Cells.</name><description>&lt;h4>Objectives&lt;/h4>Alterations in natural killer (NK) cells activity cause damage to pancreatic islets in type 1 diabetes mellitus (T1DM). The aim of this study is to identify T1DM ketosis- or ketoacidosis-related genes in activated CD56&lt;sup>+&lt;/sup>CD16&lt;sup>+&lt;/sup> NK cells.&lt;h4>Methods&lt;/h4>Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using the GEO2R tool. Enrichment analyses were performed using Metascape online database and GSEA software. Cell-specific gene co-expression network was built using NetworkAnalyst tools. Cytoscape software was used to identify hub genes and construct co-expressed networks. Target miRNAs were predicted based on the DIANA-micro T, miRDB, and miRWalk online databases.&lt;h4>R</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021</publication><modification>2026-05-09T13:08:32.135Z</modification><creation>2022-02-11T16:17:54.771Z</creation></dates><accession>S-EPMC8656236</accession><cross_references><pubmed>34899600</pubmed><doi>10.3389/fendo.2021.750135</doi></cross_references></HashMap>