scholarly journals Defining the RNA Interactome by Total RNA-Associated Protein Purification

2018 ◽  
Author(s):  
Vadim Shchepachev ◽  
Stefan Bresson ◽  
Christos Spanos ◽  
Elisabeth Petfalski ◽  
Lutz Fischer ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Rna Binding ◽  
Acid Stress ◽  
Weak Acid ◽  
Binding Activity ◽  
Bioinformatics Pipeline ◽  
E Coli ◽  
Uva Irradiation ◽  
Weak Acid Stress

ABSTRACTUV crosslinking can be used to identify precise RNA targets for individual proteins, transcriptome-wide. We sought to develop a technique to generate reciprocal data, identifying precise sites of RNA-binding proteome-wide. The resulting technique, total RNA-associated protein purification (TRAPP), was applied to yeast (S. cerevisiae) and bacteria (E. coli). In all analyses, SILAC labelling was used to quantify protein recovery in the presence and absence of irradiation. For S. cerevisiae, we also compared crosslinking using 254 nm (UVC) irradiation (TRAPP) with 4-thiouracil (4tU) labelling combined with ~350 nm (UVA) irradiation (PAR-TRAPP). Recovery of proteins not anticipated to show RNA-binding activity was substantially higher in TRAPP compared to PAR-TRAPP. As an example of preferential TRAPP-crosslinking, we tested enolase (Eno1) and demonstrated its binding to tRNA loops in vivo. We speculate that many protein-RNA interactions have biophysical effects on localization and/or accessibility, by opposing or promoting phase separation for highly abundant protein. Homologous metabolic enzymes showed RNA crosslinking in S. cerevisiae and E. coli, indicating conservation of this property. TRAPP allows alterations in RNA interactions to be followed and we initially analyzed the effects of weak acid stress. This revealed specific alterations in RNA-protein interactions; for example, during late 60S ribosome subunit maturation. Precise sites of crosslinking at the level of individual amino acids (iTRAPP) were identified in 395 peptides from 155 unique proteins, following phospho-peptide enrichment combined with a bioinformatics pipeline (Xi). TRAPP is quick, simple and scalable, allowing rapid characterization of the RNA-bound proteome in many systems.

scholarly journals War1p, a Novel Transcription Factor Controlling Weak Acid Stress Response in Yeast

2003 ◽  
Vol 23 (5) ◽  
pp. 1775-1785 ◽  
Author(s):  
Angelika Kren ◽  
Yasmine M. Mamnun ◽  
Bettina E. Bauer ◽  
Christoph Schüller ◽  
Hubert Wolfger ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Transcriptional Activation ◽  
Acid Stress ◽  
Weak Acid ◽  
Stress Adaptation ◽  
Band Shift ◽  
Promoter Deletion Analysis ◽  
Weak Acid Stress

ABSTRACT The Saccharomyces cerevisiae ATP-binding cassette (ABC) transporter Pdr12p effluxes weak acids such as sorbate and benzoate, thus mediating stress adaptation. In this study, we identify a novel transcription factor, War1p, as the regulator of this stress adaptation through transcriptional induction of PDR12. Cells lacking War1p are weak acid hypersensitive, since they fail to induce Pdr12p. The nuclear Zn2Cys6 transcriptional regulator War1p forms homodimers and is rapidly phosphorylated upon sorbate stress. The appearance of phosphorylated War1p isoforms coincides with transcriptional activation of PDR12. Promoter deletion analysis identified a novel cis-acting weak acid response element (WARE) in the PDR12 promoter required for PDR12 induction. War1p recognizes and decorates the WARE both in vitro and in vivo, as demonstrated by band shift assays and in vivo footprinting. Importantly, War1p occupies the WARE in the presence and absence of stress, demonstrating constitutive DNA binding in vivo. Our results suggest that weak acid stress triggers phosphorylation and perhaps activation of War1p. In turn, War1p activation is necessary for the induction of PDR12 through a novel signal transduction event that elicits weak organic acid stress adaptation.

scholarly journals Compendium of Methods to Uncover RNA-Protein Interactions In Vivo

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Mrinmoyee Majumder ◽  
Viswanathan Palanisamy
Keyword(s):  
Gene Expression ◽  
Protein Interactions ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Expression Patterns ◽  
Control Of Gene Expression ◽  
Regulatory Pathways ◽  
Advantages And Disadvantages ◽  
Protein Nucleic Acid

Control of gene expression is critical in shaping the pro-and eukaryotic organisms’ genotype and phenotype. The gene expression regulatory pathways solely rely on protein–protein and protein–nucleic acid interactions, which determine the fate of the nucleic acids. RNA–protein interactions play a significant role in co- and post-transcriptional regulation to control gene expression. RNA-binding proteins (RBPs) are a diverse group of macromolecules that bind to RNA and play an essential role in RNA biology by regulating pre-mRNA processing, maturation, nuclear transport, stability, and translation. Hence, the studies aimed at investigating RNA–protein interactions are essential to advance our knowledge in gene expression patterns associated with health and disease. Here we discuss the long-established and current technologies that are widely used to study RNA–protein interactions in vivo. We also present the advantages and disadvantages of each method discussed in the review.

scholarly journals RNA-Centric Approaches to Profile the RNA–Protein Interaction Landscape on Selected RNAs

2021 ◽  
Vol 7 (1) ◽  
pp. 11 ◽  
Author(s):  
André P. Gerber
Keyword(s):  
Mass Spectrometry ◽  
Protein Interactions ◽  
Regulatory Networks ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Protein Complexes ◽  
Cell Protein ◽  
Transcriptional Regulatory Networks ◽  
Technological Advances

RNA–protein interactions frame post-transcriptional regulatory networks and modulate transcription and epigenetics. While the technological advances in RNA sequencing have significantly expanded the repertoire of RNAs, recently developed biochemical approaches combined with sensitive mass-spectrometry have revealed hundreds of previously unrecognized and potentially novel RNA-binding proteins. Nevertheless, a major challenge remains to understand how the thousands of RNA molecules and their interacting proteins assemble and control the fate of each individual RNA in a cell. Here, I review recent methodological advances to approach this problem through systematic identification of proteins that interact with particular RNAs in living cells. Thereby, a specific focus is given to in vivo approaches that involve crosslinking of RNA–protein interactions through ultraviolet irradiation or treatment of cells with chemicals, followed by capture of the RNA under study with antisense-oligonucleotides and identification of bound proteins with mass-spectrometry. Several recent studies defining interactomes of long non-coding RNAs, viral RNAs, as well as mRNAs are highlighted, and short reference is given to recent in-cell protein labeling techniques. These recent experimental improvements could open the door for broader applications and to study the remodeling of RNA–protein complexes upon different environmental cues and in disease.

scholarly journals PRIMA: a gene-centered, RNA-to-protein method for mapping RNA-protein interactions

2016 ◽  
Author(s):  
Alex M. Tamburino ◽  
Ebru Kaymak ◽  
Shaleen Shrestha ◽  
Amy D. Holdorf ◽  
Sean P. Ryder ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Small Rna ◽  
Rna Binding ◽  
Mrna Translation ◽  
Single Experiment ◽  
Novel Interactions ◽  
Transcriptional Gene Regulation ◽  
Rna Interaction ◽  
Eukaryotic Genomes

SUMMARYInteractions between RNA binding protein (RBP) and mRNAs are critical to post-transcriptional gene regulation. Eukaryotic genomes encode thousands of mRNAs and hundreds of RBPs. However, in contrast to interactions between transcription factors (TFs) and DNA, the interactome between RBPs and RNA has been explored for only a small number of proteins and RNAs. This is largely because the focus has been on using ‘protein-centered’ (RBP-to-RNA) interaction mapping methods that identify the RNAs with which an individual RBP interacts. While powerful, these methods cannot as of yet be applied to the entire RBPome. Moreover, it may be desirable for a researcher to identify the repertoire of RBPs that can interact with an mRNA of interest – in a ‘gene-centered’ manner, yet few such techniques are available. Here, we present Protein-RNA Interaction Mapping Assay (PRIMA) with which an RNA ‘bait’ can be tested versus multiple RBP ‘preys’ in a single experiment. PRIMA is a translation-based assay that examines interactions in the yeast cytoplasm, the cellular location of mRNA translation. We show that PRIMA can be used with small RNA elements, as well as with full-length Caenorhabditis elegans 3′UTRs. PRIMA faithfully recapitulates numerous well-characterized RNA-RBP interactions and also identified novel interactions, some of which were confirmed in vivo. We envision that PRIMA will provide a complementary tool to expand the depth and scale with which the RNA-RBP interactome can be explored.

RNA binding by Sxl proteins in vitro and in vivo

1994 ◽  
Vol 14 (7) ◽  
pp. 4975-4990
Author(s):  
M E Samuels ◽  
D Bopp ◽  
R A Colvin ◽  
R F Roscigno ◽  
M A Garcia-Blanco ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Target Genes ◽  
Rna Binding ◽  
Polytene Chromosomes ◽  
Regulatory Sequences ◽  
Acceptor Site ◽  
Nuclear Extracts ◽  
Preferential Binding

Sxl has been proposed to regulate splicing of specific target genes by directly interacting with their pre-mRNAs. We have therefore examined the RNA-binding properties of Sxl protein in vitro and in vivo. Gel shift and UV cross-linking assays with a purified recombinant MBP-Sxl fusion protein demonstrated preferential binding to RNAs containing poly(U) tracts, and the protein footprinted over the poly(U) region. The protein did not appear to recognize either branch point or AG dinucleotide sequences, but an adenosine residue at the 5' end of the poly(U) tract enhanced binding severalfold. MBP-Sxl formed two shifted complexes on a tra regulated acceptor site RNA; the doubly shifted form may have been stabilized by protein-protein interactions. Consistent with its proposed role in pre-mRNA processing, in nuclear extracts Sxl was found in large ribonucleoprotein (RNP) complexes which sedimented significantly faster than bulk heterogeneous nuclear RNP and small nuclear RNPs. Anti-Sxl staining of polytene chromosomes showed Sxl protein at a number of chromosomal locations, among which was the Sxl locus itself. Sxl protein could also be targeted to a new chromosomal site carrying a transgene containing splicing regulatory sequences from the Sxl gene, following transcriptional induction. After prolonged heat shock, all Sxl protein was restricted to the heat-induced puff at the hs93D locus. In contrast, a presumptive small nuclear RNP protein was observed at several heat puffs following shock.

scholarly journals Enhancer-binding activity of the tal-1 oncoprotein in association with the E47/E12 helix-loop-helix proteins.

1991 ◽  
Vol 11 (6) ◽  
pp. 3037-3042 ◽  
Author(s):  
H L Hsu ◽  
J T Cheng ◽  
Q Chen ◽  
R Baer
Keyword(s):  
Protein Interactions ◽  
Lymphoblastic Leukemia ◽  
Control Cell ◽  
Biochemical Properties ◽  
Binding Activity ◽  
Sequence Motif ◽  
Cell Type ◽  
Dimerization Domain ◽  
Helix Loop Helix

Almost 30% of patients with T-cell acute lymphoblastic leukemia (T-ALL) bear structural alterations of tal-1, a presumptive proto-oncogene that encodes sequences homologous to the helix-loop-helix (HLH) DNA-binding and dimerization domain. Analysis of the tal-1 gene product reveals that its HLH domain mediates protein-protein interactions with either of the ubiquitously expressed HLH proteins E47 and E12. The resultant tal-1/E47 and tal-1/E12 heterodimers specifically recognize the E-box DNA sequence motif found in eucaryotic transcriptional enhancers. Hence, the tal-1 protein shares biochemical properties with other tissue-specific HLH proteins that control cell type determination during myogenesis (e.g., MyoD1) and neurogenesis (e.g., achaete-scute). The data suggest that HLH heterodimers involving tal-1 may function in vivo as transcriptional regulatory factors that influence cell type determination during hematopoietic development.

scholarly journals Genome-wide comparison of phage M13-infected vs. uninfectedEscherichia coli

2005 ◽  
Vol 51 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Fredrik Karlsson ◽  
Ann-Christin Malmborg-Hager ◽  
Ann-Sofie Albrekt ◽  
Carl A.K Borrebaeck
Keyword(s):  
Escherichia Coli ◽  
Stress Response ◽  
Acid Stress ◽  
Phage Infection ◽  
Transcriptional Analysis ◽  
Filamentous Phage ◽  
Phosphotransferase System ◽  
E Coli ◽  
Genome Wide

To identify Escherichia coli genes potentially regulated by filamentous phage infection, we used oligonucleotide microarrays. Genome-wide comparison of phage M13-infected and uninfected E. coli, 2 and 20 min after infection, was performed. The analysis revealed altered transcription levels of 12 E. coli genes in response to phage infection, and the observed regulation of phage genes correlated with the known in vivo pattern of M13 mRNA species. Ten of the 12 host genes affected could be grouped into 3 different categories based on cellular function, suggesting a coordinated response. The significantly upregulated genes encode proteins involved in reactions of the energy-generating phosphotransferase system and transcription processing, which could be related to phage transcription. No genes belonging to any known E. coli stress response pathways were scored as upregulated. Furthermore, phage infection led to significant downregulation of transcripts of the bacterial genes gadA, gadB, hdeA, gadE, slp, and crl. These downregulated genes are normally part of the host stress response mechanisms that protect the bacterium during conditions of acid stress and stationary phase transition. The phage-infected cells demonstrated impaired function of the oxidative and the glutamate-dependent acid resistance systems. Thus, global transcriptional analysis and functional analysis revealed previously unknown host responses to filamentous phage infection.Key words: filamentous phage infection, global transcriptional analysis, AR, Escherichia coli.

scholarly journals A Novel Methyltransferase Methylates Cucumber Mosaic Virus 1a Protein and Promotes Systemic Spread

2008 ◽  
Vol 82 (10) ◽  
pp. 4823-4833 ◽  
Author(s):  
Min Jung Kim ◽  
Sung Un Huh ◽  
Byung-Kook Ham ◽  
Kyung-Hee Paek
Keyword(s):  
Cucumber Mosaic Virus ◽  
Mosaic Virus ◽  
Protein Interactions ◽  
Protein Localization ◽  
Binding Activity ◽  
Virus Infectivity ◽  
Gene Encoding ◽  
Systemic Spread

ABSTRACT In mammalian and yeast systems, methyltransferases have been implicated in the regulation of diverse processes, such as protein-protein interactions, protein localization, signal transduction, RNA processing, and transcription. The Cucumber mosaic virus (CMV) 1a protein is essential not only for virus replication but also for movement. Using a yeast two-hybrid system with tobacco plants, we have identified a novel gene encoding a methyltransferase that interacts with the CMV 1a protein and have designated this gene Tcoi1 (tobacco CMV 1a-interacting protein 1). Tcoi1 specifically interacted with the methyltransferase domain of CMV 1a, and the expression of Tcoi1 was increased by CMV inoculation. Biochemical studies revealed that the interaction of Tcoi1 with CMV 1a protein was direct and that Tcoi1 methylated CMV 1a protein both in vitro and in vivo. The CMV 1a binding activity of Tcoi1 is in the C-terminal domain, which shows the methyltransferase activity. The overexpression of Tcoi1 enhanced the CMV infection, while the reduced expression of Tcoi1 decreased virus infectivity. These results suggest that Tcoi1 controls the propagation of CMV through an interaction with the CMV 1a protein.

scholarly journals Fourteen Residues of the U1 snRNP-Specific U1A Protein Are Required for Homodimerization, Cooperative RNA Binding, and Inhibition of Polyadenylation

2000 ◽  
Vol 20 (6) ◽  
pp. 2209-2217 ◽  
Author(s):  
Jacqueline M. T. Klein Gunnewiek ◽  
Reem I. Hussein ◽  
Yvonne van Aarssen ◽  
Daphne Palacios ◽  
Rob de Jong ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Rna Binding ◽  
Structural Data ◽  
Protein Molecule ◽  
Cooperative Binding ◽  
Mobility Shift ◽  
Small Nuclear Ribonucleoprotein ◽  
U1a Protein

ABSTRACT It was previously shown that the human U1A protein, one of three U1 small nuclear ribonucleoprotein-specific proteins, autoregulates its own production by binding to and inhibiting the polyadenylation of its own pre-mRNA. The U1A autoregulatory complex requires two molecules of U1A protein to cooperatively bind a 50-nucleotide polyadenylation-inhibitory element (PIE) RNA located in the U1A 3′ untranslated region. Based on both biochemical and nuclear magnetic resonance structural data, it was predicted that protein-protein interactions between the N-terminal regions (amino acids [aa] 1 to 115) of the two U1A proteins would form the basis for cooperative binding to PIE RNA and for inhibition of polyadenylation. In this study, we not only experimentally confirmed these predictions but discovered some unexpected features of how the U1A autoregulatory complex functions. We found that the U1A protein homodimerizes in the yeast two-hybrid system even when its ability to bind RNA is incapacitated. U1A dimerization requires two separate regions, both located in the N-terminal 115 residues. Using both coselection and gel mobility shift assays, U1A dimerization was also observed in vitro and found to depend on the same two regions that were found in vivo. Mutation of the second homodimerization region (aa 103 to 115) also resulted in loss of inhibition of polyadenylation and loss of cooperative binding of two U1A protein molecules to PIE RNA. This same mutation had no effect on the binding of one U1A protein molecule to PIE RNA. A peptide containing two copies of aa 103 to 115 is a potent inhibitor of polyadenylation. Based on these data, a model of the U1A autoregulatory complex is presented.

A whole genome approach to in vivo DNA-protein interactions in E. coli

Nature ◽  
1992 ◽  
Vol 360 (6404) ◽  
pp. 606-610 ◽  
Author(s):  
Ming X. Wang ◽  
George M. Church
Keyword(s):  
Protein Interactions ◽  
Whole Genome ◽  
E Coli ◽  
Dna Protein Interactions
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