Fig. 3: PyMT F1 models have no common gene sets or ontologies enriched by MSCNV. | Communications Biology

Fig. 3: PyMT F1 models have no common gene sets or ontologies enriched by MSCNV.

From: Genetic background and oncogenic driver determines the genomic evolution and transcriptomics of mammary tumor metastasis

Fig. 3

Histograms of the percent overlap in gene lists (a) and GO terms (b) enriched by MSCNV in each model. Numbers within bars indicate gene number common to all (purple), shared among some (yellow), or unique to each model (green). Venn diagram analysis of gene sets (c) and GO terms (d) enriched by MSCNV in low metastatic efficiency strains. e Heatmap indicating % lung met-specific gain in blue (% PT gain − % LM gain) and lung met-specific loss in red (% PT loss − % LM loss) for genes with MSCNV in low metastatic efficiency strains. Venn diagram analysis of gene sets (f) and GO terms (g) enriched in MSCNV from high metastatic efficiency strains. h Heatmap indicating % lung met-specific gain in blue (% PT gain − % LM gain), lung met-specific loss in red (% PT loss − % LM loss), and lung met-specific allelic imbalance (Al. Imb.) in purple (% PT Al. Imb. − % LM Al. Imb.) for genes with MSCNV in high metastatic efficiency strains from the Cell adhesion pathway within a single locus. CNV signal traces from PT and Lung mets aligned using Nexus 10 genomic view of the BL10 and BALB model data sets.

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