Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Figure 1 | Arthritis Research & Therapy

Figure 1

From: CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study

Figure 1

Cluster diagram of all differentially expressed genes and those classified according to Gene Ontology analysis. Genes are organized by hierarchical clustering based on overall similarity in expression patterns. Red represents relative expression greater than the median expression level across all samples, and green represents an expression level lower than the median. Black indicates intermediate expression. (a) Visualization of 1,495 transcripts able to distinguish active rheumatoid arthritis (RA) from healthy controls in CD4 T cells. (b) Visualization of 122 transcripts able to distinguish active RA from controls in immune response. (c) Visualization of 40 transcripts able to distinguish active RA from controls in T-cell response. (d) Visualization of 111 transcripts able to distinguish active RA from controls in apoptosis process. (e) Visualization of 89 transcripts able to distinguish active RA from controls in regulation of kinase and phosphatase activity. (f) Visualization of 23 transcripts able to distinguish active RA from controls in regulation of Wnt receptor signaling.

Back to article page