Uses of Plateletomics dataset
| Use/query . | Example . |
|---|---|
| Queries of platelet mRNA and miRNA expression levels | 1. Relative abundance plots show that AKT3 >> AKT2 > AKT1 |
| 2. By entering first few characters of a family of genes (eg, PRKC [protein kinases] or GNA [Gα] or ITGA [α integrins]), rapid assessment of family members expressed or not expressed. | |
| 3. Validate platelet RNAs reported from small sample sizes | |
| Associations between mRNA and miRNA levels and demographic factors | Interpret reports of RNA-disease associations; did investigators consider age, gender, and race for those RNAs found to vary by demographic factors in PRAX1? |
| Hypothesis generation for novel platelet gene discovery and function | 1. Unbiased identification of mRNAs and miRNAs DE by platelet agonist responsiveness |
| 2. High-order correlations with multiple variables; for example, PECAM1 correlates with PAR4 reactivity with a possible race but not gender effect | |
| Compare human and mouse mRNA expression | Rapid visualization shows mouse Gai2 >> human, mouse Gq ≈ human, and both mouse and human express high levels of Gs |
| miRNA regulation of gene expression and/or traits | Identification and characterization of “master miRNAs;” eg, testing hypothesis that X-chromosome miRNAs contribute to sex differentiation by repressing Y-chromosome genes |
| Use/query . | Example . |
|---|---|
| Queries of platelet mRNA and miRNA expression levels | 1. Relative abundance plots show that AKT3 >> AKT2 > AKT1 |
| 2. By entering first few characters of a family of genes (eg, PRKC [protein kinases] or GNA [Gα] or ITGA [α integrins]), rapid assessment of family members expressed or not expressed. | |
| 3. Validate platelet RNAs reported from small sample sizes | |
| Associations between mRNA and miRNA levels and demographic factors | Interpret reports of RNA-disease associations; did investigators consider age, gender, and race for those RNAs found to vary by demographic factors in PRAX1? |
| Hypothesis generation for novel platelet gene discovery and function | 1. Unbiased identification of mRNAs and miRNAs DE by platelet agonist responsiveness |
| 2. High-order correlations with multiple variables; for example, PECAM1 correlates with PAR4 reactivity with a possible race but not gender effect | |
| Compare human and mouse mRNA expression | Rapid visualization shows mouse Gai2 >> human, mouse Gq ≈ human, and both mouse and human express high levels of Gs |
| miRNA regulation of gene expression and/or traits | Identification and characterization of “master miRNAs;” eg, testing hypothesis that X-chromosome miRNAs contribute to sex differentiation by repressing Y-chromosome genes |
The visualization capacity of the web tool enables rapid interpretation and sharing of queries of interest.