1-Hydroxy-xanthine derivatives inhibit the human Caf1 nuclease and Caf1-containing nuclease complexes via Mg2+-dependent binding

Quantitative Biochemical Analysis of Deadenylase Enzymes Using Fluorescence and Chemiluminescence-Based Assays

Deadenylase enzymes play a key role in mRNA degradation and RNA processing. In this chapter, we describe two activity assays for the quantitative biochemical analysis of deadenylase enzymes, which can easily be adapted for other nuclease enzymes. The assays use distinct principles of detection, which are based on differential annealing of a probe complementary to the substrate RNA or detection of adenosine monophosphate (AMP). The assays are sensitive, flexible, and can be used in low-throughput tube-based formats and 96-well or 384-well plate formats. The assays rely on plate reader detection and can be carried out using manual pipetting or robotic liquid handling equipment. In addition to two activity assays, we describe differential scanning fluorimetry (thermal shift assay) as a complementary assay that allows the direct characterization of ligand binding to deadenylase enzymes. The assays can be useful for the characterization of deadenylase variants and are particularly suitable for the discovery and development of small-molecule inhibitors of deadenylase enzymes.

A FRET-Based Assay and Computational Tools to Quantify Enzymatic Rates and Explore the Mechanisms of RNA Deadenylases in Heterogeneous Environments

We developed a medium-throughput assay that can measure the time-dependent distribution of RNA products generated as a deadenylase degrades a polyadenosine (poly(A)) RNA tract, thereby providing insight into the mechanism of deadenylation. Importantly, this assay can be performed in both homogeneous and heterogeneous environments without relying on gel electrophoresis of RNA products or coupled enzymatic reactions that indirectly report on the RNA distribution through the detection of freed adenosine monophosphate. In parallel, we have established an open-source, Python-based command-line software package, deadenylationkinetics, that can be used to numerically simulate and/or fit the datasets afforded by our assay with different deadenylation mechanisms to determine the most likely case and estimate the associated rate constants. In this chapter, we detail the implementation of our method and the quantification of poly(A) RNA binding and degradation kinetics in application to a truncated version of CNOT7 from the CCR4-NOT deadenylation complex, which serves as a model deadenylase with enhanced activity.

Structure of the human Ccr4-Not nuclease module using X-ray crystallography and electron paramagnetic resonance spectroscopy distance measurements

Regulated degradation of mature, cytoplasmic mRNA is a key step in eukaryotic gene regulation. This process is typically initiated by the recruitment of deadenylase enzymes by cis-acting elements in the 3' untranslated region resulting in the shortening and removal of the 3' poly(A) tail of the target mRNA. The Ccr4-Not complex, a major eukaryotic deadenylase, contains two exoribonuclease subunits with selectivity toward poly(A): Caf1 and Ccr4. The Caf1 deadenylase subunit binds the MIF4G domain of the large subunit CNOT1 (Not1) that is the scaffold of the complex. The Ccr4 nuclease is connected to the complex via its leucine-rich repeat (LRR) domain, which binds Caf1, whereas the catalytic activity of Ccr4 is provided by its EEP domain. While the relative positions of the MIF4G domain of CNOT1, the Caf1 subunit, and the LRR domain of Ccr4 are clearly defined in current models, the position of the EEP nuclease domain of Ccr4 is ambiguous. Here, we use X-ray crystallography, the AlphaFold resource of predicted protein structures, and pulse electron paramagnetic resonance spectroscopy to determine and validate the position of the EEP nuclease domain of Ccr4 resulting in an improved model of the human Ccr4-Not nuclease module.