Enhancement of the StreptoTag method for isolation of endogenously expressed proteins with complex RNA binding targets

StreptoTag is a novel affinity chromatography-based method for the isolation of high- and low-affinity RNA binding proteins. Originally it was shown possible to isolate recombinant protein from yeast or bacterial extracts using small, specific, well-characterised RNA binding targets. Here we show that using an enhanced aptamer it is not only possible to efficiently immobilise large, highly structured RNA binding targets onto the streptomycin columns but also that the StreptoTag method can be used for the isolation and purification of endogenously expressed regulatory proteins, with relatively low abundance, from eukaryotic extracts. As an example for this we uncover the identity of a karyophilic cellular protein which specifically binds to an area within the large, highly folded structure that characterises the mRNA from the unique 3' region (U3) of the mouse mammary tumour virus (MMTV) long terminal repeat (LTR). Hence, this method is now suitable for the quick and efficient isolation and identification of novel RNA binding proteins such as regulatory factors.     

Discovering protein-binding RNA motifs with a generative model of RNA sequences

Recent advances in high-throughput experimental technologies have generated a huge amount of data on interactions between proteins and nucleic acids. Motivated by the big experimental data, several computational methods have been developed either to predict binding sites in a sequence or to determine if an interaction exists between protein and nucleic acid sequences. However, most of the methods cannot be used to discover new nucleic acid sequences that bind to a target protein because they are classifiers rather than generators. In this paper we propose a generative model for constructing protein-binding RNA sequences and motifs using a long short-term memory (LSTM) neural network. Testing the model for several target proteins showed that RNA sequences generated by the model have high binding affinity and specificity for their target proteins and that the protein-binding motifs derived from the generated RNA sequences are comparable to the motifs from experimentally validated protein-binding RNA sequences. The results are promising and we believe this approach will help design more efficient in vitro or in vivo experiments by suggesting potential RNA aptamers for a target protein.     

RNA and the Small Molecule World

A key role in essential cellular processes is played by RNA molecules, and these are attractive targets for drug design. The functional diversity of RNA can be attributed to the sophisticated three-dimensional structures it assumes. These intricate folds create potential binding pockets for ions, low molecular weight ligands, and proteins. Recent experiments have demonstrated that small molecules such as tobramycin ( 1 ) can regulate gene expression in living cells through specific interactions with a messenger RNA (mRNA).     

Bidirectional Regulation of mRNA Translation in Mammalian Cells by Using PUF Domains

The regulation of gene expression is crucial in diverse areas of biological science, engineering, and medicine. A genetically encoded system based on the RNA binding domain of the Pumilio and FBF (PUF) proteins was developed for the bidirectional regulation (i.e., either upregulation or downregulation) of the translation of a target mRNA. PUF domains serve as designable scaffolds for the recognition of specific RNA elements and the specificity can be easily altered to target any 8‐nucleotide RNA sequence. The expression of a reporter could be varied by over 17‐fold when using PUF‐based activators and repressors. The specificity of the method was established by using wild‐type and mutant PUF domains. Furthermore, this method could be used to activate the translation of target mRNA downstream of PUF binding sites in a light‐dependent manner. Such specific bidirectional control of mRNA translation could be particularly useful in the fields of synthetic biology, developmental biology, and metabolic engineering.     

RNA quadruplex-based modulation of gene expression

RNA-based modules such as riboswitches represent straightforward and simplified approaches for the regulation of gene expression, as no additional proteins are needed. G-rich sequences are known to adopt stable four-stranded structures, and such quadruplexes have been suspected to play important roles in key functions such as the control of gene expression. Here we demonstrate that RNA quadruplexes readily form in vivo. We have constructed mRNA-based G-rich elements that mask the ribosome binding site by folding into four-stranded structures. The suppression of gene expression correlates with the stability of inserted G quadruplexes. Moreover, quadruplexes with moderate stability respond to changes in temperature, thus behaving as artificial RNA thermometers. In conclusion, we introduce tuneable mRNA-based devices that enable modulation of gene expression by a predictable but thus far unknown mechanism.     

Self-organizing map of gene regulatory networks for cell phenotypes during reprogramming

The induced pluripotent cells (iPSCs) are derived from somatic cells by reprogramming their genetic profiles. Such a process requires coordinated dynamic expression of hundreds of genes and proteins. As both deterministic and stochastic elements control the reprogramming process, it is not easy to have a way to reflect the status of gene regulatory network in those reprogramming cells. In this study, we applied self-organizing maps (SOMs) on those complex gene expression data from different pluripotent cells, including partially reprogrammed and fully reprogrammed induced pluripotent cells (iPSCs), embryonic stem cells (ESCs), and adult stem cells came from different tissues. We showed that our SOMs have good correlation with the previously reported PluriNet of stem cells and they are pictorial diagrams which can reflect the intrinsic status of cells.     

Rational drug design and high-throughput techniques for RNA targets

RNA molecules are the only known molecules which possess the double property of being depository of genetic information, like DNA, and of displaying catalytic activities, like protein enzymes. RNA molecules intervene in all steps of gene expression and in many other biological activities. Like proteins, RNAs achieve those biological functions by adopting intricate three-dimensional folds and architectures. Further, as in protein sequences, RNA sequences contain signatures specific for three-dimensional motifs which participate in recognition and binding. In regulatory pathways, RNA molecules exist in equilibria between transient structures differentially stabilized by effectors such as proteins or cofactors. Therefore, RNA molecules display their potential as drug targets on different levels, namely in three-dimensional folds, in structural equilibria and in RNA-protein interfaces. Several examples will be described together with the already available techniques for combinatorial synthesis and high-throughput screening of potential drug and target RNA molecules.     

Alkyne Activation in the Diversity Oriented Synthesis of sp2-Rich Scaffolds: A Biased Library Approach for Targeting Polynucleotides (DNA/RNA)

Polynucleotides, DNA and RNA (mRNA and non-coding RNAs) are critically involved in the molecular pathways of disease. Small molecule binding interactions with polynucleotides can modify functional polynucleotide topologies and/or their interactions with proteins. Current approaches to library design (lead-like or fragment-like libraries) are based on protein-ligand interactions and often include careful consideration of the 3-dimensional orientation of binding motifs and exclude π-rich compounds (polyfused aromatics) to avoid off-target R/DNA interactions. In contrast to proteins, where π,π-interactions are weak, polynucleotides can form strong π,π-interactions with suitable π-rich ligands. To assist in designing a polynucleotide-biased library, a scaffold-divergent synthesis approach to polyfused aromatic scaffolds has been undertaken. Initial screening hits that form moderately stable polynucleotide-ligand-protein ternary complexes can be further optimized through judicious incorporation of substituents on the scaffold to increase protein-ligand interactions. An example of this approach is given for topoisomerase-1 (TOP1), generating a novel TOP1 inhibitory chemotype.     

Impact of the Core Chemistry of Self-Assembled Spherical Nucleic Acids on their In Vitro Fate

Nucleic acid therapeutics (NATs), such as mRNA, small interfering RNA or antisense oligonucleotides are extremely efficient tools to modulate gene expression and tackle otherwise undruggable diseases. Spherical nucleic acids (SNAs) can efficiently deliver small NATs to cells while protecting their payload from nucleases, and have improved biodistribution and muted immune activation. Self-assembled SNAs have emerged as nanostructures made from a single DNA-polymer conjugate with similar favorable properties as well as small molecule encapsulation. However, because they maintain their structure by non-covalent interactions, they might suffer from disassembly in biologically relevant conditions, especially with regard to their interaction with serum proteins. Here, we report a systematic study of the factors that govern the fate of self-assembled SNAs. Varying the core chemistry and using stimuli-responsive disulfide crosslinking, we show that extracellular stability upon binding with serum proteins is important for recognition by membrane receptors, triggering cellular uptake. At the same time, intracellular dissociation is required for efficient therapeutic release. Disulfide-crosslinked SNAs combine these two properties and result in efficient and non-toxic unaided gene silencing therapeutics. We anticipate these investigations will help the translation of promising self-assembled structures towards in vivo gene silencing applications.     

Development of an efficient endothelial cell specific vector using promoter and 5' untranslated sequences from the human preproendothelin-1 gene

We report here, that a vector constructed based on ppET-1 gene promoter and 5' untranslated region induced a high level of gene expression in endothelial cells and the specificity is even further enhanced under hypoxia-mimic conditions due to a natural hypoxia responsive element within the promoter region. A naked DNA vector that confers endothelial cell specific gene expression as well as efficient levels of gene expression was constructed with an endothelial cell specific naked DNA vector, pETlong, by using the full length promoter of the preproendothelin-1 gene and the entire 5' untranslated region upstream from the start codon. Inclusion of the entire 5' untranslated region in pETlong increased gene expression 2.96 fold as compared with that from pETshort, which contains only the promoter sequences. Reporter gene expression from pETlong was 7.9 fold higher as compared with that from CMV-driven promoter based vector in calf pulmonary endothelial cells. However, in nonendothelial COS cells, luciferase activity from pETlong was only 0.3 fold as compared with that of CMV-based vector. Similar results were observed in other nonendothelial cells. These results demonstrate that the pETlong drives gene expression in endothelial cells with high efficacy and specificity. We have examined hypoxia responsiveness of pETlong as the promoter region of the preproendothelin-1 gene contains hypoxia responsive elements. The activity of the pETlong vector was increased 1.6 fold under hypoxia-mimic conditions using cobalt chloride. The high levels of hypoxia-inducible expression in endothelial cells relative to the low levels of background expression in other cells shows that pETlong could be a useful tool for vascular targeting of vascular disease and cancer gene therapy.     

Segmental,Domain‐Selective Perdeuteration and Small‐Angle Neutron Scattering for Structural Analysis of Multi‐Domain Proteins

Multi‐domain proteins play critical roles in fine‐tuning essential processes in cellular signaling and gene regulation. Typically, multiple globular domains that are connected by flexible linkers undergo dynamic rearrangements upon binding to protein, DNA or RNA ligands. RNA binding proteins (RBPs) represent an important class of multi‐domain proteins, which regulate gene expression by recognizing linear or structured RNA sequence motifs. Here, we employ segmental perdeuteration of the three RNA recognition motif (RRM) domains in the RBP TIA‐1 using Sortase A mediated protein ligation. We show that domain‐selective perdeuteration combined with contrast‐matched small‐angle neutron scattering (SANS), SAXS and computational modeling provides valuable information to precisely define relative domain arrangements. The approach is generally applicable to study conformational arrangements of individual domains in multi‐domain proteins and changes induced by ligand binding.     

Segmental,Domain‐Selective Perdeuteration and Small‐Angle Neutron Scattering for Structural Analysis of Multi‐Domain Proteins

Multi‐domain proteins play critical roles in fine‐tuning essential processes in cellular signaling and gene regulation. Typically, multiple globular domains that are connected by flexible linkers undergo dynamic rearrangements upon binding to protein, DNA or RNA ligands. RNA binding proteins (RBPs) represent an important class of multi‐domain proteins, which regulate gene expression by recognizing linear or structured RNA sequence motifs. Here, we employ segmental perdeuteration of the three RNA recognition motif (RRM) domains in the RBP TIA‐1 using Sortase A mediated protein ligation. We show that domain‐selective perdeuteration combined with contrast‐matched small‐angle neutron scattering (SANS), SAXS and computational modeling provides valuable information to precisely define relative domain arrangements. The approach is generally applicable to study conformational arrangements of individual domains in multi‐domain proteins and changes induced by ligand binding.