Examples of Reports
Example 1 - Small Dataset:
5 samples – 2 from treated, 3 from non-treated tissue
Estimated cost of work: $1270
Initial report - in 3 days, Project Term (open to consultations) - 1 month
Analysis Method:
Due to the small number of samples, which prevents statistically significant results, a pairwise comparison of all sample pairs was conducted. Sample-vs-sample scatterplots are shown in Fig. 1.
Quality Estimation:
Similarity:
Samples 1 and 2 show high similarity.
Samples 3 and 5 also show high similarity.
Sample 4 is similar to samples 3 and 5 but has an additional cluster of highly expressed genes.
Interpretation:
This additional cluster suggests that sample 4 is similar to samples 3 and 5, but with some cells of another type.
Gene ontology analysis of the additional cluster reveals muscle-related genes (see Table 1), indicating possible muscle tissue contamination in sample 4.
Differences Between Treated and Non-Treated Tissues:
Comparative Analysis:
Treated samples (1 and 2) show upregulation of genes related to the extracellular matrix.
Treated samples show downregulation of genes related to the immune response (see Tables 2 and 3).
Example 2 - Big Dataset:
27 samples – 17 from sick (9 treated/8 non-treated), 10 from healthy tissue
Estimated cost of work: $3420
Initial report - in 5 days, Project Term (open to consultations) - 2 months
Analysis Method:
Differentially expressed genes are detected as having high fold change (>2) and low p-value (<0.003) using 2-sample t-test.
Quality Estimation:
Quality control by calculating similarity index between samples has not revealed unexpected discrepancies (high similarity within each group, low similarity between groups).
Differences Between Treated and Non-Treated Tissues:
Comparative Analysis:
Group 2 vs group 3 comparison reveals up-regulation of genes related to immune process, which are also upregulated in group 1 vs group 3 but less significantly (Fig. 1a and 1b, list of genes in table 1).
Extracellular-process-related genes are down-regulated in group 1 vs group 2 (Fig 2a, table 2).
Violin plots (Fig. 2a) visualize expression of one gene from both gene clusters -"immune" and "extracellular process" related clusters. Any other genes can be plotted in similar way on demand.
Based on this analysis and group labels it can be concluded that investigated sickness up-regulated immune-related genes. Treatment diminishes them toward healthy state, however, it also down-regulates expression of extracellular-process-related genes.