Selecting genes for analysis using historically contingent progress: from RNA changes to protein-protein interactions.

Progress in biology has generated numerous lists of genes that share some property. But, advancing from these lists of genes to understanding their roles is slow and unsystematic. Here we use RNA silencing in C. elegans to illustrate an approach for prioritizing genes for detailed study given limited resources. The partially subjective relationships between genes forged by both deduced functional relatedness and biased progress in the field was captured as mutual information and used to cluster genes that were frequently identified yet remain understudied. Studied genes in these clusters suggest regulatory links connecting RNA silencing with other processes like the cell cycle. Many proteins encoded by the understudied genes are predicted to physically interact with known regulators of RNA silencing. These predicted influencers of RNA-regulated expression could be used for feedback regulation, which is essential for the homeostasis observed in all living systems. Thus, among the gene products altered when a process is perturbed are regulators of that process, providing a way to use RNA sequencing to identify candidate protein-protein interactions. Together, the analysis of perturbed transcripts and potential interactions of the proteins they encode could help prioritize candidate regulators of any process.