Genetic Interactions: Connectivity Metrics


Online supplement to:

Owen Ozier, Nada Amin, Trey Ideker. Global architecture of genetic interactions on the protein network. Nature Biotechnology, May 2003; 21(5):490-1

In Figure 1(a) of the paper, we display:

The trend is apparent; as hub size goes up, the percent of genetic interactions that are realized also goes up. The frequency in a particular bin is calculated by tallying the number of genetic interactions that fall in the appropriate connectivity range, and dividing by the number of pairs of genes, whether interacting or not, that fall in that range.

We also note that:

Different connectivity metrics
Below, data is shown for the same network (Dip plus MIPS plus SGA, but really, with the sixteen extra genetic interactions removed, as described here.) under different connectivity metrics: (here is the text of the raw data.) Note that the vertical scale is different for each of the charts.

Analysis: Different connectivity metrics

Excluding essential genes
We also consider excluding essential genes from the network. We list 1105 essential genes, and exclude them from the network, resulting in a network about half the size of the original, now including 6984 protein-protein interactions and 632 genetic interactions. Performing the analysis again, we find a smaller sample set, but similar results: (here is the text of the raw data.)

Analysis: Non-essential genes only

Synthetic Lethals vs Supressors
Of the 1312 genetic interactions we examined, 1007 were synthetic lethal interactions, and 305 were suppressor interactions. The analyses above consider the two together. Here, we show the result of considering them separately.

Analysis: Synthetic lethal only

Note that the suppression interactions analysis is much noisier, because there are fewer interactions to analyze (305 suppression versus the previous 1007 synthetic lethal).

Analysis: Supression only

[ the synthetic lethal analysis network | the suppression analysis network ]

[ text of the synthetic lethal analysis raw data | text of the suppression analysis raw data ]

After having seen all these results, we thought the most consistent and illustrative metric was the geometric mean, and that the enrichment of genetic interactions among more highly connected node pairs appeared robust to a variety of different data sets, connectivity metrics, etc.