Application of Reducible Covalent Capture Purification for Resolving Persulfidome and Nucleolin S-Sulfhydration.

Protein S-sulfhydration involves the regulation of various protein functions, and resolving the S-sulfhydrated proteome (persulfidome) allows for a deeper exploration of various redox regulations. Therefore, we designed a reducible covalent capture method for isolating S-sulfhydrated proteins, which can analyze the persulfidome in biological samples and monitor specific S-sulfhydrated proteins. In this study, we applied this method to reveal the S-sulfhydration levels of proteins, including 3-phosphoglyceraldehyde dehydrogenase, NFκB/p65, and nucleolin. Furthermore, this technique can be used to enrich S-sulfhydrated peptides, aiding in the determination of protein S-sulfhydration modification sites. Finally, we observed that the S-sulfhydration and oxidation of nucleolin on the C543 residue correlate with its nuclear translocation, downstream regulation of p53, Bcl-xL, and Bcl-2 RNA levels and protein expression, as well as the protective function against oxidative stress. Therefore, this method may facilitate the understanding of the regulation of protein function by redox perturbation.

Production of stable and pure ZC3H11A - An extensively disordered RNA binding protein.

Human ZC3H11A is an RNA-binding zinc finger protein involved in mRNA export and required for the efficient growth of human nuclear replicating viruses. Its biochemical properties are largely unknown so our goal has been to produce the protein in a pure and stable form suitable for its characterization. This has been challenging since the protein is large (810 amino acids) and with only the N-terminal zinc finger domain (amino acids 1-86) being well structured, the remainder is intrinsically disordered. Our production strategies have encompassed recombinant expression of full-length, truncated and mutated ZC3H11A variants with varying purification tags and fusion proteins in several expression systems, with or without co-expression of chaperones and putative interaction partners. A range of purification schemes have been explored. Initially, only truncated ZC3H11A encompassing the zinc finger domain could successfully be produced in a stable form. It required recombinant expression in insect cells since expression in E. coli gave a protein that aggregated. To reduce problematic nucleic acid contaminations, Cys8, located in one of the zinc fingers, was substituted by Ala and Ser. Interestingly, this did not affect nucleic acid binding, but the full-length protein was stabilised while the truncated version was insoluble. Ultimately, we discovered that when using alkaline buffers (pH 9) for purification, full-length ZC3H11A expressed in Sf9 insect cells was obtained in a stable and >90 % pure form, and as a mixture of monomers, dimers, tetramers and hexamers. Many of the challenges experienced are consistent with its predicted structure and unusual charge distribution.

Expression and purification of an NP-hoc fusion protein: Utilizing influenza a nucleoprotein and phage T4 hoc protein.

Influenza poses a substantial health risk, with infants and the elderly being particularly susceptible to its grave impacts. The primary challenge lies in its rapid genetic evolution, leading to the emergence of new Influenza A strains annually. These changes involve punctual mutations predominantly affecting the two main glycoproteins: Hemagglutinin (HA) and Neuraminidase (NA). Our existing vaccines target these proteins, providing short-term protection, but fall short when unexpected pandemics strike. Delving deeper into Influenza's genetic makeup, we spotlight the nucleoprotein (NP) - a key player in the transcription, replication, and packaging of RNA. An intriguing characteristic of the NP is that it is highly conserved across all Influenza A variants, potentially paving the way for a more versatile and broadly protective vaccine. We designed and synthesized a novel NP-Hoc fusion protein combining Influenza A nucleoprotein and T4 phage Hoc, cloned using Gibson assembly in E. coli, and purified via ion affinity chromatography. Simultaneously, we explore the T4 coat protein Hoc, typically regarded as inconsequential in controlled viral replication. Yet, it possesses a unique ability: it can link with another protein, showcasing it on the T4 phage coat. Fusing these concepts, our study designs, expresses, and purifies a novel fusion protein named NP-Hoc. We propose this protein as the basis for a new generation of vaccines, engineered to guard broadly against Influenza A. The excitement lies not just in the immediate application, but the promise this holds for future pandemic resilience, with NP-Hoc marking a significant leap in adaptive, broad-spectrum influenza prevention.

Towards an Ideal In Cell Hybridization-Based Strategy to Discover Protein Interactomes of Selected RNA Molecules.

RNA-binding proteins are crucial to the function of coding and non-coding RNAs. The disruption of RNA-protein interactions is involved in many different pathological states. Several computational and experimental strategies have been developed to identify protein binders of selected RNA molecules. Amongst these, 'in cell' hybridization methods represent the gold standard in the field because they are designed to reveal the proteins bound to specific RNAs in a cellular context. Here, we compare the technical features of different 'in cell' hybridization approaches with a focus on their advantages, limitations, and current and potential future applications.

Coexpression and Copurification of RNA-Protein Complexes in Escherichia coli.

For structural, biochemical, or pharmacological studies, it is required to have pure RNA in large quantities. We previously devised a generic approach that allows for efficient in vivo expression of recombinant RNA in Escherichia coli. We have extended the "tRNA scaffold" method to RNA-protein coexpression in order to express and purify RNA by affinity in native condition. As a proof of concept, we present the expression and the purification of the AtRNA-mala in complex with the MS2 coat protein.

Identification of RNA-Binding Proteins Associated to RNA Structural Elements.

RNA motifs guide the interaction with specific proteins leading to the assembly of ribonucleoprotein complexes that perform key functions in cellular processes. Internal ribosome entry site (IRES) elements are organized in structural domains that determine internal initiation of translation. In this chapter we describe a pull-down assay using streptavidin-aptamer tagged RNAs that combines RNA structure-dependent protein isolation with proteomic analysis to identify novel interactors recognizing RNA structural domains. This approach takes advantage of tRNA-scaffold guided expression, allowing the identification of factors belonging to networks involved in RNA and protein metabolism.

PP1 regulatory subunit NIPP1 regulates transcription of E2F1 target genes following DNA damage.

DNA damage induces transcriptional repression of E2F1 target genes and a reduction in histone H3-Thr11 phosphorylation (H3-pThr11 ) at E2F1 target gene promoters. Dephosphorylation of H3-pThr11 is partly mediated by Chk1 kinase and protein phosphatase 1γ (PP1γ) phosphatase. Here, we isolated NIPP1 as a regulator of PP1γ-mediated H3-pThr11 by surveying nearly 200 PP1 interactor proteins. We found that NIPP1 inhibits PP1γ-mediated dephosphorylation of H3-pThr11 both in vivo and in vitro. By generating NIPP1-depleted cells, we showed that NIPP1 is required for cell proliferation and the expression of E2F1 target genes. Upon DNA damage, activated protein kinase A (PKA) phosphorylated the NIPP1-Ser199 residue, adjacent to the PP1 binding motif (RVxF), and triggered the dissociation of NIPP1 from PP1γ, leading to the activation of PP1γ. Furthermore, the inhibition of PKA activity led to the activation of E2F target genes. Statistical analysis confirmed that the expression of NIPP1 was positively correlated with E2F target genes. Taken together, these findings demonstrate that the PP1 regulatory subunit NIPP1 modulates E2F1 target genes by linking PKA and PP1γ during DNA damage.

In silico analysis and prediction of transcription factors of the proteins interacting with astrocyte elevated gene-1.

Multifunctional in nature, the protein Astrocyte Elevated Gene-1 (AEG-1) controls several cancers through protein-protein interactions. Although, specific physiological processes and molecular functions linked with AEG-1 interactors remain unclear. In our present study, we procured the data of AEG-1 interacting proteins and evaluated their biological functions, associated pathways, and interaction networks using bioinformatic tools. A total of 112 proteins experimentally detected to interact with AEG-1 were collected from various public databases. DAVID 6.8 Online tool was utilized to identify the molecular functions, biological processes, cellular components that aid in understanding the physiological function of AEG-1 and its interactors in several cell types. With the help of integrated network analysis of AEG-1 interactors using Cytoscape 3.8.0 software, cross-talk between various proteins, and associated pathways were revealed. Additionally, the Enrichr online tool was used for performing enrichment of transcription factors of AEG-1 interactors' which further revealed a closely associated self-regulated interaction network of a variety of transcription factors that shape the expression of AEG-1 interacting proteins. As a whole, the study calls for better understanding and elucidation of the pathways and biological roles of both AEG-1 and its interactor proteins that might enable their application as biomarkers and therapeutic targets in various diseases in the very near future.

Recognition of non-CpG repeats in Alu and ribosomal RNAs by the Z-RNA binding domain of ADAR1 induces A-Z junctions.

Adenosine-to-inosine (A-to-I) editing of eukaryotic cellular RNAs is essential for protection against auto-immune disorders. Editing is carried out by ADAR1, whose innate immune response-specific cytoplasmic isoform possesses a Z-DNA binding domain (Zα) of unknown function. Zα also binds to CpG repeats in RNA, which are a hallmark of Z-RNA formation. Unexpectedly, Zα has been predicted - and in some cases even shown - to bind to specific regions within mRNA and rRNA devoid of such repeats. Here, we use NMR, circular dichroism, and other biophysical approaches to demonstrate and characterize the binding of Zα to mRNA and rRNA fragments. Our results reveal a broad range of RNA sequences that bind to Zα and adopt Z-RNA conformations. Binding is accompanied by destabilization of neighboring A-form regions which is similar in character to what has been observed for B-Z-DNA junctions. The binding of Zα to non-CpG sequences is specific, cooperative and occurs with an affinity in the low micromolar range. This work allows us to propose a model for how Zα could influence the RNA binding specificity of ADAR1.

The search for RNA-binding proteins: a technical and interdisciplinary challenge.

RNA-binding proteins are customarily regarded as important facilitators of gene expression. In recent years, RNA-protein interactions have also emerged as a pervasive force in the regulation of homeostasis. The compendium of proteins with provable RNA-binding function has swelled from the hundreds to the thousands astride the partnership of mass spectrometry-based proteomics and RNA sequencing. At the foundation of these advances is the adaptation of RNA-centric capture methods that can extract bound protein that has been cross-linked in its native environment. These methods reveal snapshots in time displaying an extensive network of regulation and a wealth of data that can be used for both the discovery of RNA-binding function and the molecular interfaces at which these interactions occur. This review will focus on the impact of these developments on our broader perception of post-transcriptional regulation, and how the technical features of current capture methods, as applied in mammalian systems, create a challenging medium for interpretation by systems biologists and target validation by experimental researchers.

Identification of host factors binding to dengue and Zika virus subgenomic RNA by efficient yeast three-hybrid screens of the human ORFeome.

Flaviviruses such as the dengue (DENV) and the Zika virus (ZIKV) are important human pathogens causing around 100 million symptomatic infections each year. During infection, small subgenomic flavivirus RNAs (sfRNAs) are formed inside the infected host cell as a result of incomplete degradation of the viral RNA genome by cellular exoribonuclease XRN1. Although the full extent of sfRNA functions is to be revealed, these non-coding RNAs are key virulence factors and their detrimental effects on multiple cellular processes seem to consistently involve molecular interactions with RNA-binding proteins (RBPs). Discovery of such sfRNA-binding host-factors has followed established biochemical pull-down approaches skewed towards highly abundant proteins hampering proteome-wide coverage. Yeast three-hybrid (Y3H) systems represent an attractive alternative approach. To facilitate proteome-wide screens for RBP, we revisited and improved existing RNA-Y3H methodology by (1) implementing full-length ORF libraries in combination with (2) efficient yeast mating to increase screening depth and sensitivity, and (3) stringent negative controls to eliminate over-representation of non-specific RNA-binders. These improvements were validated employing the well-characterized interaction between DDX6 (DEAD-box helicase 6) and sfRNA of DENV as paradigm. Our advanced Y3H system was used to screen for human proteins binding to DENV and ZIKV sfRNA, resulting in a list of 69 putative sfRNA-binders, including several previously reported as well as numerous novel RBP host factors. Our methodology requiring no sophisticated infrastructure or analytic pipeline may be employed for the discovery of meaningful RNA-protein interactions at large scale in other fields.

The mTOR regulated RNA-binding protein LARP1 requires PABPC1 for guided mRNA interaction.

The mammalian target of rapamycin (mTOR) is a critical regulator of cell growth, integrating multiple signalling cues and pathways. Key among the downstream activities of mTOR is the control of the protein synthesis machinery. This is achieved, in part, via the co-ordinated regulation of mRNAs that contain a terminal oligopyrimidine tract (TOP) at their 5'ends, although the mechanisms by which this occurs downstream of mTOR signalling are still unclear. We used RNA-binding protein (RBP) capture to identify changes in the protein-RNA interaction landscape following mTOR inhibition. Upon mTOR inhibition, the binding of LARP1 to a number of mRNAs, including TOP-containing mRNAs, increased. Importantly, non-TOP-containing mRNAs bound by LARP1 are in a translationally-repressed state, even under control conditions. The mRNA interactome of the LARP1-associated protein PABPC1 was found to have a high degree of overlap with that of LARP1 and our data show that PABPC1 is required for the association of LARP1 with its specific mRNA targets. Finally, we demonstrate that mRNAs, including those encoding proteins critical for cell growth and survival, are translationally repressed when bound by both LARP1 and PABPC1.

Single and Combined Methods to Specifically or Bulk-Purify RNA-Protein Complexes.

The ribonome interconnects the proteome and the transcriptome. Specific biology is situated at this interface, which can be studied in bulk using omics approaches or specifically by targeting an individual protein or RNA species. In this review, we focus on both RNA- and ribonucleoprotein-(RNP) centric methods. These methods can be used to study the dynamics of the ribonome in response to a stimulus or to identify the proteins that interact with a specific RNA species. The purpose of this review is to provide and discuss an overview of strategies to cross-link RNA to proteins and the currently available RNA- and RNP-centric approaches to study RNPs. We elaborate on some major challenges common to most methods, involving RNP yield, purity and experimental cost. We identify the origin of these difficulties and propose to combine existing approaches to overcome these challenges. The solutions provided build on the recently developed organic phase separation protocols, such as Cross-Linked RNA eXtraction (XRNAX), orthogonal organic phase separation (OOPS) and Phenol-Toluol extraction (PTex).

Antibody-based biosensor to detect oncogenic splicing factor Sam68 for the diagnosis of lung cancer.

OBJECTIVE: The present work aimed to investigate the potential utility of Sam68 protein as a prognostic marker in lung cancer. Then an electrochemical immunosensor is fabricated that is sufficiently sensitive to detect Sam68. RESULTS: Analysis of stage-specific Lung cancer microarray data shows that differential expression of Sam68 is associated with cancer stage and monotonically increases from early tumor stage to advanced metastatic stage. Moreover, the higher expression of Sam68 results in reduced survival of lung cancer patients. Based on these observations, an electrochemical immunosensor was developed for the quantification of Sam68 protein. The target protein was captured by the Anti-Sam68 antibody that was immobilized on the modified Glassy carbon electrode. The stepwise assembly process was characterized by cyclic voltammetry and electrochemical impedance spectroscopy. This fabricated immunosensor displayed good analytical performance in comparison to commercial ELISA kit with good sensitivity, lower detection limit (LOD) of 10.5 pg mL-1, and wide linear detection range from 1 to 5 µg mL-1. This method was validated with satisfactory detection of Sam68 protein in lung adenocarcinoma cell line, NCI-H23. Besides, spike and recovery assay reconfirm that the sensor can precisely quantify Sam68 protein in a complex physiological sample. CONCLUSION: We conclude Sam68 as a valuable prognostic biomarker for early detection of lung cancer. Moreover, we report the first study on the development of an electrochemical immunosensor for the detection of Sam68. The fabricated immunosensor exhibit excellent analytical performance, which can accurately predict the lung cancer patient pathological state.

Efficient recovery of the RNA-bound proteome and protein-bound transcriptome using phase separation (OOPS).

RNA-protein interactions play a pivotal role in cell homeostasis and disease, but current approaches to study them require a considerable amount of starting material, favor the recovery of only a subset of RNA species or are complex and time-consuming. We recently developed orthogonal organic phase separation (OOPS): a quick, efficient and reproducible method to purify cross-linked RNA-protein adducts in an unbiased way. OOPS avoids molecular tagging or the capture of polyadenylated RNA. Instead, it is based on sampling the interface of a standard TRIzol extraction to enrich RNA-binding proteins (RBPs) and their cognate bound RNA. OOPS specificity is achieved by digesting the enriched interfaces with RNases or proteases to release the RBPs or protein-bound RNA, respectively. Here we present a step-by-step protocol to purify protein-RNA adducts, free protein and free RNA from the same sample. We further describe how OOPS can be applied in human cell lines, Arabidopsis thaliana, Schizosaccharomyces pombe and Escherichia coli and how it can be used to study RBP dynamics.

Using RNA Affinity Purification Followed by Mass Spectrometry to Identify RNA-Binding Proteins (RBPs).

RNA-binding proteins (RBPs) perform key functions in posttranscriptional regulation, adding complexity to the RNA life cycle. RNA interactome capture techniques have been applied to various organisms of interest and detected hundreds of RBPs, some with uncharacterized functions. However, even in many well-studied organisms, the primary sequence motif for most RBPs remains unknown. Here, we describe a 3-day protocol where users couple an RNA sequence of interest that is known to be bound by an RBP(s) with agarose beads, incubate the now tagged RNA sequence with protein lysate, and then pull down the proteins bound to the RNA. Subsequent mass spectrometry allows users to profile the RNA sequence-interacting proteome and pick out any enriched proteins as RBPs of interest. This protocol allows researchers to match sequences to their RBPs and even often identify novel RBPs or new functions for known RBPs.

Structural snapshots of human pre-60S ribosomal particles before and after nuclear export.

Ribosome biogenesis is an elaborate and energetically expensive program that involve two hundred protein factors in eukaryotes. Nuclear export of pre-ribosomal particles is one central step which also serves as an internal structural checkpoint to ensure the proper completion of nuclear assembly events. Here we present four structures of human pre-60S particles isolated through a nuclear export factor NMD3, representing assembly stages immediately before and after nuclear export. These structures reveal locations of a dozen of human factors, including an uncharacterized factor TMA16 localized between the 5S RNA and the P0 stalk. Comparison of these structures shows a progressive maturation for the functional regions, such as peptidyl transferase centre and peptide exit tunnel, and illustrate a sequence of factor-assisted rRNA maturation events. These data facilitate our understanding of the global conservation of ribosome assembly in eukaryotes and species-specific features of human assembly factors.

Liposome Binding Assay to Characterize the Structure and Function of Cavin Proteins.

Protein-protein and protein-lipid interactions play important roles in the assembly of protein coats that regulate membrane organization, signaling, and trafficking in eukaryotic cells. Caveolae are plasma membrane invaginations that are formed by a protein coat consisting of caveolin and cavin protein complexes. The biochemical and structural principles of membrane binding by coat components can be studied through in vitro reconstitution of purified proteins and lipid vesicles. In this chapter, we describe a method to isolate peripheral cavin coat complexes and to subsequently bind purified cavin to chemically defined liposomes. The cavin proteoliposomes can be further analyzed to gain insights into lipid binding specificity, membrane-remodeling properties, and structural characteristics of the cavin family members.

Population Distributions from Native Mass Spectrometry Titrations Reveal Nearest-Neighbor Cooperativity in the Ring-Shaped Oligomeric Protein TRAP.

Allostery pervades macromolecular function and drives cooperative binding of ligands to macromolecules. To decipher the mechanisms of cooperative ligand binding, it is necessary to define, at a microscopic level, the thermodynamic consequences of binding of each ligand to its energetically coupled site(s). However, extracting these microscopic constants is difficult for macromolecules with more than two binding sites, because the observable [e.g., nuclear magnetic resonance (NMR) chemical shift changes, fluorescence, and enthalpy] can be altered by allostery, thereby distorting its proportionality to site occupancy. Native mass spectrometry (MS) can directly quantify the populations of homo-oligomeric protein species with different numbers of bound ligands, provided the populations are proportional to ion counts and that MS-compatible electrolytes do not alter the overall thermodynamics. These measurements can help decipher allosteric mechanisms by providing unparalleled access to the statistical thermodynamic partition function. We used native MS (nMS) to study the cooperative binding of tryptophan (Trp) to Bacillus stearothermophilus trp RNA binding attenuation protein (TRAP), a ring-shaped homo-oligomeric protein complex with 11 identical binding sites. MS-compatible solutions did not significantly perturb protein structure or thermodynamics as assessed by isothermal titration calorimetry and NMR spectroscopy. Populations of Trpn-TRAP11 states were quantified as a function of Trp concentration by nMS. The population distributions could not be explained by a noncooperative binding model but were described well by a mechanistic nearest-neighbor cooperative model. Nonlinear least-squares fitting yielded microscopic thermodynamic constants that define the interactions between neighboring binding sites. This approach may be applied to quantify thermodynamic cooperativity in other ring-shaped proteins.