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The combination of high-throughput sequencing and in vivo crosslinking approaches leads to the progressive uncovering of the complex interdependence between cellular transcriptome and proteome. Yet, the molecular determinants governing interactions in protein-RNA networks are not well understood. Here we investigated the relationship between the structure of an RNA and its ability to interact with proteins. Analysing in silico, in vitro and in vivo experiments, we find that the amount of double-stranded regions in an RNA correlates with the number of protein contacts. This relationship —which we call structure-driven protein interactivity— allows classification of RNA types, plays a role in gene regulation and could have implications for the formation of phase-separated ribonucleoprotein assemblies. We validate our hypothesis by showing that a highly structured RNA can rearrange the composition of a protein aggregate. We report that the tendency of proteins to phase-separate is reduced by interactions with specific RNAs.
We present the rapid biophysical characterization of six previously reported putative G‐quadruplex‐forming RNAs from the 5′‐untranslated region (5′‐UTR) of silvestrol‐sensitive transcripts for investigation of their secondary structures. By NMR and CD spectroscopic analysis, we found that only a single sequence—[AGG]2[CGG]2C—folds into a single well‐defined G‐quadruplex structure. Sequences with longer poly‐G strands form unspecific aggregates, whereas CGG‐repeat‐containing sequences exhibit a temperature‐dependent equilibrium between a hairpin and a G‐quadruplex structure. The applied experimental strategy is fast and provides robust readout for G‐quadruplex‐forming capacities of RNA oligomers.
NMR spectroscopy is a potent method for the structural and biophysical characterization of RNAs. The application of NMR spectroscopy is restricted in RNA size and most often requires isotope‐labeled or even selectively labeled RNAs. Additionally, new NMR pulse sequences, such as the heteronuclear‐detected NMR experiments, are introduced. We herein provide detailed protocols for the preparation of isotope‐labeled RNA for NMR spectroscopy via in vitro transcription. This protocol covers all steps, from the preparation of DNA template to the transcription of milligram RNA quantities. Moreover, we present a protocol for a chemo‐enzymatic approach to introduce a single modified nucleotide at any position of any RNA. Regarding NMR methodology, we share protocols for the implementation of a suite of heteronuclear‐detected NMR experiments including 13C‐detected experiments for ribose assignment and amino groups, the CN‐spin filter heteronuclear single quantum coherence (HSQC) for imino groups and the 15N‐detected band‐selective excitation short transient transverse‐relaxation‐optimized spectroscopy (BEST‐TROSY) experiment.
Basic Protocol 1: Preparation of isotope‐labeled RNA samples with in vitro transcription using T7 RNAP, DEAE chromatography, and RP‐HPLC purification
Alternate Protocol 1: Purification of isotope‐labeled RNA from in vitro transcription with preparative PAGE
Alternate Protocol 2: Purification of isotope‐labeled RNA samples from in vitro transcription via centrifugal concentration
Support Protocol 1: Preparation of DNA template from plasmid
Support Protocol 2: Preparation of PCR DNA as template
Support Protocol 3: Preparation of T7 RNA Polymerase (T7 RNAP)
Support Protocol 4: Preparation of yeast inorganic pyrophosphatase (YIPP)
Basic Protocol 2: Preparation of site‐specific labeled RNAs using a chemo‐enzymatic synthesis
Support Protocol 5: Synthesis of modified nucleoside 3′,5′‐bisphosphates
Support Protocol 6: Preparation of T4 RNA Ligase 2
Support Protocol 7: Setup of NMR spectrometer for heteronuclear‐detected NMR experiments
Support Protocol 8: IPAP and DIPAP for homonuclear decoupling
Basic Protocol 3: 13C‐detected 3D (H)CC‐TOCSY, (H)CPC, and (H)CPC‐CCH‐TOCSY experiments for ribose assignment
Basic Protocol 4: 13C‐detected 2D CN‐spin filter HSQC experiment
Basic Protocol 5: 13C‐detected C(N)H‐HDQC experiment for the detection of amino groups
Support Protocol 9: 13C‐detected CN‐HSQC experiment for amino groups
Basic Protocol 6: 13C‐detected “amino”‐NOESY experiment
Basic Protocol 7: 15N‐detected BEST‐TROSY experiment
This cumulative thesis discusses the development of optimized force field parameters for Magnesium and resulting improved simulations of Magnesium-RNA interactions, including the in silico exploration of binding sites. This thesis is based on four publications as well as unpublished data. A fifth publication that was written during the time of the Ph.D. is discussed in the Appendix. This publication analyzes monovalent ion-specific effects at mica surfaces.
Nucleic acids in general and RNA in particular are fundamental to life itself. Especially in the folding and function of RNA, metal cations are crucial to screen the negatively charged nucleic acid backbones to allow for complex functional structures. They stabilize the tertiary structure of RNA and even drive its folding. Furthermore, similarly to proteins, RNAs can catalyze multiple reactions, rather than consisting of the 20 amino acids of a protein, RNA constitues of only four different building blocks. Metal cations play an important role here as additional cofactors. One essential ion is Magnesium (Mg2+), commonly referred to as the most important cofactor for nucleic acids. Mg2+ carries two positive charges. Its comparably small size and high charge result in a high charge density that has strong polarizing effects on its surroundings. Furthermore, Mg2+ forms a sharply defined first hydration shell with an integer number of coordinating water molecules. As a result, an exclusion zone exists around the ion within which no water molecules are observed. Moreover, Mg2+ displays a high solvation free energy and a low exchange rate of waters from its first hydration shell. Finally, it contains a strong preference towards oxygens . Together, this makes Mg2+ a particularly well suited interaction partner for the charged non-bridging phosphate oxygens on nucleic acid backbones and explains its crucial biological role.
The immense number of physiological and technological functions and applications indicates the significant scientific attention Mg2+ received. In experimental studies, however, severe difficulties arise for multiple reasons: Mg2+ is spectroscopically silent and cannot be detected directly by resonance techniques like NMR or EPR. Indirect observation is possible, either by detecting changes in the overall RNA structure with and without bound Mg2+, or by replacing the Mg2+ ion with another spectroscopically visible ion. In the latter, however, it cannot be guaranteed that the altered ion does not also alter the interaction site or even the whole structure. Another detection method is X-ray crystallography, but here challenges arise from Mg2+ being almost indistinguish- able from other ions as well as from water if not for very high resolutions and precise stereochemical considerations.
Alternatively, molecular dynamics (MD) simulations can be performed, with the power of adding atomistic insight to the interplay of metal cations and nucleic acids. MD simulations, however, are only as accurate as their underlying interaction models and the development of accurate models for the description of Mg2+ faces challenges especially in describing three properties:
(i) Polarizability. Commonly used simple models like the 12-6 type Lennard-Jones model typically fail to reproduce simultaneously thermodynamic and structural properties of a single ion in water. Alternative strategies include the use of a 12-6-4 type Lennard-Jones potential as proposed by Li and Merz, where the additional r−4 term explicitly accounts for polarization effects. The resulting Lennard-Jones potential is thereby more attractive and more long-ranged than for typical models of the 12-6 type.
(ii) Kinetics. Most Mg2+ models either fully ignore considerations about the timescales on which water exchanges from the first hydration shell of the ion or use inappropriate methodology to calculate the underlying kinetics. A realistic characterization of the involved timescales is imperative to be able to describe a seemingly simple process like the transition from inner-to-outer sphere binding and vice versa. This transition governs most biochemical reactions involving Mg2+ and therefore subsequent processes can only by as fast as the transition itself. However, already the previous step – the exchange of a water from the first hydration shell of the ion – is described my current Mg2+ models up to four orders of magnitude too slowly, which makes the observation of such events on the timescale of a typical simulation difficult or even impossible. Alln ́er et al. [48] as well as Lemkul and MacKerell explicitly considered the exchange rate into their parameter optimization procedure. To compute the rate, both studies applied Transition State Theory along a single reaction coordinate – the distance towards one of the exchanging waters. However, it could be shown that the water exchange from the first hydration shell requires at least the consideration of both exchanging water molecules in order to be able to realistically record the underlying rate using Transition State Theory. Furthermore, the model of Alln ́er et al. significantly underestimates the free energy of solvation of the ion.
(iii) Interactions between Mg2+ and nucleic acids. Typically, ionic force field parame- terization concentrates on the optimization of solution properties. The trans- ferability of these solution optimized parameters towards interactions with biomolecules, however, often fails.