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Fig. 4 | BMC Cardiovascular Disorders

Fig. 4

From: Identifying differential miR and gene consensus patterns in peripheral blood of patients with cardiovascular diseases from literature data

Fig. 4

Influence of miR regulation on target genes and predicted consequences on pathophysiological function. a-c Gene scores were calculated for (a) Coronary Artery Disease (b) Acute Coronary Syndrome and (c) Heart Failure following the procedure of Fig. 2. The highest positive and negative scores were given for each. Positive and negative genes scores indicate the likelihood of gene up or down-regulation, respectively. Following the patterns of miRs from Fig. 3c-e, genes scores related to CAD and HF were more evenly distributed between positive and negative values than such to ACS. HCN2/4, LASP1 and EGFR were negatively regulated in CAD and ACS, while not being found decisively regulated in HF. The anti-apoptotic protein BLC-2 was found oppositely regulated between CAD and HF, while no relevant score was identified in ACS. Different isoforms of the Forkhead transcription factor family (FOXO) were identified in CAD (FOXO3 with score 28 not shown and FOXP1) and ACS (FOXO4). Finally, VEGF-A upregulation was found as unique marker of CAD, SOX, SP1 as unique markers of ACS, and MOAP1 and DICER as markers of HF. d-e Venn diagrams present the overlap of (d) genes, and (E) gene ontology terms. Gene ontology terms were derived from an analysis of ranked gene lists using the tool Gorilla [9] and exploiting our scoring algorithm, whereby only genes with absolute scores greater or equal 6 were taken into account to avoid bias due to unspecific gene regulation. While overlap of considered genes between all conditions were by a similar amount (overlap of all are similar on a percentage scale), the GO analysis using ranked lists indicated a much higher overlap between CAD and ACS, while GO terms for heart failure were nearly distinct to both others. Results indicated that our ranking procedure provides additional information content to allow a functional assessment and a differential analysis of disease function

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