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Systemic sclerosis Systemic sclerosisSystemic sclerosis is a complex orphan disease affecting the immune system and various organ systems throughout the body, including the lung, heart, kidneys, liver, and gastrointestinal tract. It is characterized by skin fibrosis, vasculopathy, and peripheral nerve damage. Common symptoms include Raynaud's phenomenon and fatigue, which are two non-specific symptoms common in autoimmune diseases. Some patients with systemic sclerosis also develop interstitial lung disease. Patients with systemic sclerosis frequently display overlapping symptoms with other autoimmune diseases, such as myositis or rheumatoid arthritis (Volkmann ER et al. (2023)). As with other autoimmune diseases, systemic sclerosis disproportionally affects women, with significantly higher prevalence (up to three times) in females compared to males (Peoples C et al. (2016)). Differential Abundance Analysis ResultsThis section presents the results of the differential protein abundance analysis, visualized through a volcano plot and summarized in the accompanying table for all three comparisons: 1) disease vs. healthy samples, 2) disease vs. diseases from the same class, and 3) disease vs. all other diseases. Disease vs Healthy
Disease vs Class
Disease vs All other
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
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Contact
The Project
The Human Protein Atlas
The Human Protein Atlas project is funded
