Coordinate control of different classes of cyclins is fundamentally important for
cell cycle regulation and tumor suppression, yet the underlying mechanisms are
incompletely understood. Here we show that the PARK2 tumor suppressor mediates this
coordination. The PARK2 E3 ubiquitin ligase coordinately controls the stability of both
cyclin D and cyclin E. Analysis of approximately 5,000 tumor genomes shows that
PARK2 is a very frequently deleted gene in human cancer and uncovers a
striking pattern of mutual exclusivity between PARK2 deletion and
amplification of CCND1, CCNE1 or
CDK4—implicating these genes in a common pathway. Inactivation of
PARK2 results in the accumulation of cyclin D and acceleration of cell cycle progression.
Furthermore, PARK2 is a component of a new class of cullin-RING-containing ubiquitin
ligases targeting both cyclin D and cyclin E for degradation. Thus, PARK2 regulates
cyclin-CDK complexes, as does the CDK inhibitor p16, but acts as a master regulator of the
stability of G1/S cyclins.
Summary
Coevolutionary sequence analysis has become a commonly used technique for
de novo
prediction of the structure and function of proteins, RNA, and protein complexes. We present the EVcouplings framework, a fully integrated open-source application and Python package for coevolutionary analysis. The framework enables generation of sequence alignments, calculation and evaluation of evolutionary couplings (ECs), and
de novo
prediction of structure and mutation effects. The combination of an easy to use, flexible command line interface and an underlying modular Python package makes the full power of coevolutionary analyses available to entry-level and advanced users.
Availability and implementation
https://github.com/debbiemarkslab/evcouplings
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.