<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>2022</volume><submitter>Zhou J</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Myocardial infarction (MI) is a common cardiovascular disease. Histopathology is a main molecular characteristic of MI, but often, differences between various cell subsets have been neglected. Under this premise, MI-related molecular biomarkers were screened using single-cell sequencing.&lt;h4>Methods&lt;/h4>This work examined immune cell abundance in normal and MI samples from GSE109048 and determined differences in the activated mast cells and activated CD4 memory T cells, resting mast cells. Weighted gene coexpression network analysis (WGCNA) demonstrated that activated CD4 memory T cells were the most closely related to the turquoise module, and 10 hub genes were screened. Single-cell sequencing data (scRNA-seq) of MI were examined. We used &lt;i>t&lt;/i>-distributed stochastic </pubmed_abstract><journal>Computational and mathematical methods in medicine</journal><pagination>6534126</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8934393</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients.</pubmed_title><pmcid>PMC8934393</pmcid><pubmed_authors>Peng X</pubmed_authors><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Chen Z</pubmed_authors><pubmed_authors>Wei C</pubmed_authors><pubmed_authors>Li Q</pubmed_authors><pubmed_authors>Wen T</pubmed_authors><pubmed_authors>Wei Y</pubmed_authors><pubmed_authors>Peng J</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients.</name><description>&lt;h4>Objectives&lt;/h4>Myocardial infarction (MI) is a common cardiovascular disease. Histopathology is a main molecular characteristic of MI, but often, differences between various cell subsets have been neglected. Under this premise, MI-related molecular biomarkers were screened using single-cell sequencing.&lt;h4>Methods&lt;/h4>This work examined immune cell abundance in normal and MI samples from GSE109048 and determined differences in the activated mast cells and activated CD4 memory T cells, resting mast cells. Weighted gene coexpression network analysis (WGCNA) demonstrated that activated CD4 memory T cells were the most closely related to the turquoise module, and 10 hub genes were screened. Single-cell sequencing data (scRNA-seq) of MI were examined. We used &lt;i>t&lt;/i>-distributed stochastic </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-18T15:18:11.302Z</modification><creation>2025-02-19T04:20:42.021Z</creation></dates><accession>S-EPMC8934393</accession><cross_references><pubmed>35317194</pubmed><doi>10.1155/2022/6534126</doi></cross_references></HashMap>