Supplementary Figure 2: Hierarchical clustering of 36 breast cancer cell lines based on their mRNA or protein profiles. | Nature Biotechnology

Supplementary Figure 2: Hierarchical clustering of 36 breast cancer cell lines based on their mRNA or protein profiles.

From: Detection of dysregulated protein-association networks by high-throughput proteomics predicts cancer vulnerabilities

Supplementary Figure 2

Hierarchical clustering of 36 breast cancer cell lines based on their (a) mRNA or (b) protein profiles. Clustering was done for the 36 cell lines, which proteome profiles were mapped in this study and which mRNA profiles were also reported by Klinj et al.1 Although the dendrograms show differences in the composition of the sub-clusters, the clustering based both on mRNA and protein profiles generated similar clusters of cell lines of the basal (green), luminal (red), claudin-low (blue), and non-malignant (brown) subtypes. Unsupervised clustering was done based on the intensities of 6659 gene-products quantified in all datasets and using the JMP software (version Pro 11) applying the ward method without standardizing the data.

1. Klijn, C. et al. A comprehensive transcriptional portrait of human cancer cell lines. Nat Biotechnol 33, 306-312, doi:10.1038/nbt.3080 (2015).

Back to article page