Back to search

Article

Integrative Analysis of Key Genes and Signaling Pathways By Bioinformatics in Patients with Type 1 Diabetes Mellitus Combined with Acute Myocardial Infarction

2021-12-06

Abstract excerpt

Although the pathogenesis of type 1 diabetes mellitus (T1D) and acute myocardial infarction (AMI) remains unclear. We investigated the key genes and signaling pathways common to T1D and AMI. First, we screened differentially expressed genes (DEGs) co-expressed by T1D and AMI through gene expression synthesis (GEO) database and text mining. David database was used for enrichment and functional analysis of selected...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
45445210-4e60-5962-99ca-50ae98dc92fa
DOI
10.21203/rs.3.rs-1056890/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integrative Analysis of Key Genes and Signaling Pathways By Bioinformatics in Patients with Type 1 Diabetes Mellitus Combined with Acute Myocardial InfarctionDOI 10.21203/rs.3.rs-1056890/v1
Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics AnalysisSemantic proximity
Identification and analysis of key genes associated with acute myocardial infarction by integrated bioinformatics methodsSemantic proximity
Biomarkers identification for acute myocardial infarction detection via weighted gene co-expression network analysisSemantic proximity
Identification of Co-Expressed Central Genes and Transcription Factors in Acute Myocardial Infarction and Diabetic NephropathySemantic proximity
DIA proteomics reveals potential biomarkers for T2DM in acute myocardial infarction patientsSemantic proximity
Identification of Key Genes and Signaling Pathways Involved in Acute Myocardial Infarction and Potential Biomarkers of Its Consequent Heart Failure Based On Bioinformatics AnalysisSemantic proximity
A comparison of gene expression profiles in patients with coronary artery disease, type 2 diabetes, and their coexisting conditions.Semantic proximity
Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome AnalysisSemantic proximity
Differently Expressed Genes (DEGs) Relevant to Type 2 Diabetes Mellitus Identification and Pathway Analysis via Integrated Bioinformatics AnalysisSemantic proximity
Bioinformatics analysis to screen for genes related to myocardial infarctionSemantic proximity
Integrative analysis of key candidate genes and signaling pathways in acute coronary syndrome related to obstructive sleep apnea by bioinformatics.Semantic proximity
Integrative Analysis of Key Candidate Genes and Signaling Pathways in Acute Coronary Syndrome Related to Obstructive Sleep Apnea by bioinformaticsSemantic proximity
Select a neighboring publication to make it the new centre.