scholarly journals Characterization of caspase-7 interaction with RNA

2021 ◽  
Author(s):  
Alexandre Desroches ◽  
Jean-Bernard Denault
Keyword(s):  
Cell Death ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Amino Acid Sequences ◽  
Binding Assays ◽  
Rna Molecules ◽  
Caspase 7

Apoptosis is a regulated form of cell death essential to the removal of unwanted cells. At its core, a family of cysteine peptidases named caspases cleaves key proteins allowing cell death to occur. To do so, each caspase catalytic pocket recognizes preferred amino acid sequences resulting in proteolysis, but some also use exosites to select and cleave important proteins efficaciously. Such exosites have been found in a few caspases, notably caspase-7 that has a lysine patch (K38KKK) that binds RNA which acts as a bridge to RNA-binding proteins favoring proximity between the peptidase and its substrates resulting in swifter cleavage. Although caspase-7 interaction with RNA has been identified, in-depth characterization of this interaction is lacking. In this study, using in vitro cleavage assays, we determine that RNA concentration and length affect the cleavage of RNA-binding proteins. Additionally, using binding assays and RNA sequencing, we found that caspase-7 binds RNA molecules regardless of their type, sequence, or structure. Moreover, we demonstrate that the N-terminal peptide of caspase-7 reduces the affinity of the peptidase for RNA which translates into slower cleavages of RNA-binding proteins. Finally, employing engineered heterodimers, we show that a caspase-7 dimer can use both exosites simultaneously to increase its affinity to RNA because a heterodimer with only one exosite has reduced affinity for RNA and cleavage efficacy. These findings shed light on a mechanism that furthers substrate recognition by caspases and provides potential insight into its regulation during apoptosis.

scholarly journals Caspase-7 uses RNA to enhance proteolysis of poly(ADP-ribose) polymerase 1 and other RNA-binding proteins

2019 ◽  
Vol 116 (43) ◽  
pp. 21521-21528 ◽  
Author(s):  
Alexandre Desroches ◽  
Jean-Bernard Denault
Keyword(s):  
Binding Proteins ◽  
Caspase 3 ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Binding Pocket ◽  
Rnase A ◽  
Amino Acid Sequences ◽  
Critical Feature ◽  
Caspase 7 ◽  
Parp 1

To achieve swift cell demise during apoptosis, caspases cleave essential proteins for cell survival and removal. In addition to the binding of preferred amino acid sequences to its substrate-binding pocket, caspase-7 also uses exosites to select specific substrates. 4 lysine residues (K38KKK) located in the N-terminal domain of caspase-7 form such an exosite and promote the rapid proteolysis of the poly(ADP-ribose) polymerase 1 (PARP-1), but the mechanism of recognition remains mostly unknown. In this study, we show that the overall positive charge of the exosite is the critical feature of this evolutionarily conserved binding site. Additionally, interaction with the caspase-7 exosite involves both the Zn3 and BRCT domains of PARP-1 and is mediated by RNA. Indeed, PARP-1 proteolysis efficacy is sensitive to RNase A and promoted by added RNA. Moreover, using affinity chromatography and gel shift assays, we demonstrate that caspase-7, but not caspase-3 or a caspase-7 with a mutated exosite, binds nucleic acids. Finally, we show that caspase-7 prefers RNA-binding proteins (RNA-BPs) as substrates compared to caspase-3 and that RNA enhances proteolysis by caspase-7 of many of these RNA-BPs. Thus, we have uncovered an unusual way by which caspase-7 selects and cleaves specific substrates.

Characterization of Viral Double-Stranded RNA-Binding Proteins

Methods ◽  
1998 ◽  
Vol 15 (3) ◽  
pp. 225-232 ◽  
Author(s):  
Bertram L. Jacobs ◽  
Jeffrey O. Langland ◽  
Teresa Brandt
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Double Stranded Rna

scholarly journals Identification of mRNAs Associated with αCP2-Containing RNP Complexes

2003 ◽  
Vol 23 (19) ◽  
pp. 7055-7067 ◽  
Author(s):  
Shelly A. Waggoner ◽  
Stephen A. Liebhaber
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Cell Function ◽  
Rna Binding Proteins ◽  
Translation Control ◽  
Viral Mrnas ◽  
Posttranscriptional Gene Regulation ◽  
Direct Binding

ABSTRACT Posttranscriptional controls in higher eukaryotes are central to cell differentiation and developmental programs. These controls reflect sequence-specific interactions of mRNAs with one or more RNA binding proteins. The α-globin poly(C) binding proteins (αCPs) comprise a highly abundant subset of K homology (KH) domain RNA binding proteins and have a characteristic preference for binding single-stranded C-rich motifs. αCPs have been implicated in translation control and stabilization of multiple cellular and viral mRNAs. To explore the full contribution of αCPs to cell function, we have identified a set of mRNAs that associate in vivo with the major αCP2 isoforms. One hundred sixty mRNA species were consistently identified in three independent analyses of αCP2-RNP complexes immunopurified from a human hematopoietic cell line (K562). These mRNAs could be grouped into subsets encoding cytoskeletal components, transcription factors, proto-oncogenes, and cell signaling factors. Two mRNAs were linked to ceroid lipofuscinosis, indicating a potential role for αCP2 in this infantile neurodegenerative disease. Surprisingly, αCP2 mRNA itself was represented in αCP2-RNP complexes, suggesting autoregulatory control of αCP2 expression. In vitro analyses of representative target mRNAs confirmed direct binding of αCP2 within their 3′ untranslated regions. These data expand the list of mRNAs that associate with αCP2 in vivo and establish a foundation for modeling its role in coordinating pathways of posttranscriptional gene regulation.

scholarly journals Discovery of RNA-binding proteins and characterization of their dynamic responses by enhanced RNA interactome capture

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Joel I. Perez-Perri ◽  
Birgit Rogell ◽  
Thomas Schwarzl ◽  
Frank Stein ◽  
Yang Zhou ◽  
...  
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Jurkat Cells ◽  
Dynamic Responses ◽  
Capture Probe ◽  
Signal To Noise ◽  
Low Background ◽  
Detailed Composition

AbstractFollowing the realization that eukaryotic RNA-binding proteomes are substantially larger than anticipated, we must now understand their detailed composition and dynamics. Methods such as RNA interactome capture (RIC) have begun to address this need. However, limitations of RIC have been reported. Here we describe enhanced RNA interactome capture (eRIC), a method based on the use of an LNA-modified capture probe, which yields numerous advantages including greater specificity and increased signal-to-noise ratios compared to existing methods. In Jurkat cells, eRIC reduces the rRNA and DNA contamination by >10-fold compared to RIC and increases the detection of RNA-binding proteins. Due to its low background, eRIC also empowers comparative analyses of changes of RNA-bound proteomes missed by RIC. For example, in cells treated with dimethyloxalylglycine, which inhibits RNA demethylases, eRIC identifies m6A-responsive RNA-binding proteins that escape RIC. eRIC will facilitate the unbiased characterization of RBP dynamics in response to biological and pharmacological cues.

scholarly journals SSMART: Sequence-structure motif identification for RNA-binding proteins

2018 ◽  
Author(s):  
Alina Munteanu ◽  
Neelanjan Mukherjee ◽  
Uwe Ohler
Keyword(s):  
Binding Sites ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Sequence Motif ◽  
Primary Sequence ◽  
Sequence Structure ◽  
Rna Targets

AbstractMotivationRNA-binding proteins (RBPs) regulate every aspect of RNA metabolism and function. There are hundreds of RBPs encoded in the eukaryotic genomes, and each recognize its RNA targets through a specific mixture of RNA sequence and structure properties. For most RBPs, however, only a primary sequence motif has been determined, while the structure of the binding sites is uncharacterized.ResultsWe developed SSMART, an RNA motif finder that simultaneously models the primary sequence and the structural properties of the RNA targets sites. The sequence-structure motifs are represented as consensus strings over a degenerate alphabet, extending the IUPAC codes for nucleotides to account for secondary structure preferences. Evaluation on synthetic data showed that SSMART is able to recover both sequence and structure motifs implanted into 3‘UTR-like sequences, for various degrees of structured/unstructured binding sites. In addition, we successfully used SSMART on high-throughput in vivo and in vitro data, showing that we not only recover the known sequence motif, but also gain insight into the structural preferences of the RBP.AvailabilitySSMART is freely available at https://ohlerlab.mdc-berlin.de/software/SSMART_137/[email protected]

Characterization of glycine-rich RNA-binding proteins inBrassica napusunder stress conditions

2012 ◽  
Vol 146 (3) ◽  
pp. 297-307 ◽  
Author(s):  
Min Kyung Kim ◽  
Hyun Ju Jung ◽  
Dong Hyun Kim ◽  
Hunseung Kang
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Stress Conditions

scholarly journals A deep learning framework to predict binding preference of RNA constituents on protein surface

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Jordy Homing Lam ◽  
Yu Li ◽  
Lizhe Zhu ◽  
Ramzan Umarov ◽  
Hanlun Jiang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Protein Structure ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Binding Preference ◽  
Rna Backbone ◽  
Binding Pockets ◽  
Rna Interaction

Abstract Protein-RNA interaction plays important roles in post-transcriptional regulation. However, the task of predicting these interactions given a protein structure is difficult. Here we show that, by leveraging a deep learning model NucleicNet, attributes such as binding preference of RNA backbone constituents and different bases can be predicted from local physicochemical characteristics of protein structure surface. On a diverse set of challenging RNA-binding proteins, including Fem-3-binding-factor 2, Argonaute 2 and Ribonuclease III, NucleicNet can accurately recover interaction modes discovered by structural biology experiments. Furthermore, we show that, without seeing any in vitro or in vivo assay data, NucleicNet can still achieve consistency with experiments, including RNAcompete, Immunoprecipitation Assay, and siRNA Knockdown Benchmark. NucleicNet can thus serve to provide quantitative fitness of RNA sequences for given binding pockets or to predict potential binding pockets and binding RNAs for previously unknown RNA binding proteins.

scholarly journals A novel methyltransferase (Hmt1p) modifies poly(A)+-RNA-binding proteins.

1996 ◽  
Vol 16 (7) ◽  
pp. 3668-3678 ◽  
Author(s):  
M F Henry ◽  
P A Silver
Keyword(s):  
Normal Cell ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Temperature Sensitive ◽  
Arginine Residues ◽  
Cognate Gene ◽  
Heterogeneous Nuclear Ribonucleoproteins

RNA-binding proteins play many essential roles in the metabolism of nuclear pre-mRNA. As such, they demonstrate a myriad of dynamic behaviors and modifications. In particular, heterogeneous nuclear ribonucleoproteins (hnRNPs) contain the bulk of methylated arginine residues in eukaryotic cells. We have identified the first eukaryotic hnRNP-specific methyltransferase via a genetic screen for proteins that interact with an abundant poly(A)+-RNA-binding protein termed Npl3p. We have previously shown that npl3-1 mutants are temperature sensitive for growth and defective for export of mRNA from the nucleus. New mutants in interacting genes were isolated by their failure to survive in the presence of the npl3-1 allele. Four alleles of the same gene were identified in this manner. Cloning of the cognate gene revealed an encoded protein with similarity to methyltransferases that was termed HMT1 for hnRNP methyltransferase. HMT1 is not required for normal cell viability except when NPL3 is also defective. The Hmt1 protein is located in the nucleus. We demonstrate that Npl3p is methylated by Hmt1p both in vivo and in vitro. These findings now allow further exploration of the function of this previously uncharacterized class of enzymes.

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