Integrated protein network and microarray analysis to identify potential biomarkers after myocardial infarction

Keyphrases

• Myocardial Infarction 100%
• Potential Biomarkers 100%
• Protein Microarray Analysis 100%
• Protein-protein Interaction Analysis 100%
• Angiogenesis 66%
• Heart Failure 66%
• Left Ventricular Dysfunction 66%
• Microarray Analysis 33%
• Cardiac Repair 33%
• Protein-protein Interaction Network 33%
• Acute Myocardial Infarction 33%
• Prognostic Biomarker 33%
• Blood Cells 33%
• Quantitative PCR 33%
• Microarray 33%
• Echocardiography 33%
• Troponin 33%
• Protein Expression 33%
• Blood Samples 33%
• Predictive Value 33%
• Myocardial Infarction Patients 33%
• Specific Biomarkers 33%
• Cell Growth 33%
• Differentially Expressed 33%
• Prediction Analysis 33%
• Left Ventricular Ejection Fraction 33%
• Patient Demographics 33%
• Limited Information 33%
• Placental Growth Factor (PlGF) 33%
• RNA Analysis 33%
• Protein Analysis 33%
• Gene Prediction 33%
• Brain Natriuretic Peptide 33%
• Area under the Receiver Operating Characteristic (AUROC) 33%
• Acute Myocardial Infarction Patients 33%
• Thrombospondin-1 33%
• VEGF-B 33%

Biochemistry, Genetics and Molecular Biology

• Angiogenesis 100%
• Heart Ventricle Function 100%
• Protein Microarray 100%
• RNA 50%
• Protein-Protein Interaction Networks 50%
• Protein Characterization 50%
• Protein Interaction 50%
• Vascular Endothelial Growth Factor B 50%
• Real-Time Polymerase Chain Reaction 50%
• Cell Growth 50%
• Protein Expression 50%
• Troponin T 50%
• Heart Left Ventricle Ejection Fraction 50%
• Thrombospondin 1 50%
• Placental Growth Factor 50%
• Brain Natriuretic Peptide 50%
• Prognostic Biomarker 50%