Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Exploring T-cell exhaustion features in Acute myocardial infarction for a Novel Diagnostic model and new therapeutic targets by bio-informatics and machine learning

24 May 2024

Abstract excerpt

BACKGROUND: T-cell exhaustion (TEX), a condition characterized by impaired T-cell function, has been implicated in numerous pathological conditions, but its role in acute myocardial Infarction (AMI) remains largely unexplored. This research aims to identify and characterize all TEX-related genes for AMI diagnosis. METHODS: By integrating gene expression profiles, differential expression analysis, gene set...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Atherosclerosis and Cardiovascular Diseases
Share to Cancer Immunotherapy and Biomarkers
Share to Cardiac Fibrosis and Remodeling

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38783198
DOI: 10.1186/s12872-024-03907-x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Exploring T-cell exhaustion features in Acute myocardial infarction for a Novel Diagnostic model and new therapeutic targets by bio-informatics and machine learningPMID 38783198Read ↗

Identification of Immune Activation-Related Biomarkers in Acute Myocardial Infarction (AMI) by Bioinformatic Analysis and Clinical ValidationSemantic proximity Read ↗

Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulationSemantic proximity Read ↗

Integrated analysis and validation of ferroptosis-related genes and immune infiltration in acute myocardial infarctionSemantic proximity Read ↗

Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial InfarctionSemantic proximity Read ↗

Identification of mitochondria-related gene biomarkers associated with immune infiltration in acute myocardial infarctionSemantic proximity Read ↗

Novel diagnostic biomarkers related to necroptosis and immune infiltration landscape in acute myocardial infarctionSemantic proximity Read ↗

Collapsing the list of myocardial infarction-related differential expressed genes into a diagnostic signatureSemantic proximity Read ↗

Identification of 6 cuproptosis- and ferroptosis-related genes linking immune infiltration as diagnostic biomarkers for acute myocardial infarctionSemantic proximity Read ↗

Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarctionSemantic proximity Read ↗

Disulfidptosis-related gene in acute myocardial infarction and immune microenvironment analysis: A bioinformatics analysis and validationSemantic proximity Read ↗

Potential diagnostic biomarkers: 6 cuproptosis- and ferroptosis-related genes linking immune infiltration in acute myocardial infarctionSemantic proximity Read ↗

Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signatureSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.