RNAcompete-S: Combined RNA sequence/structure preferences for RNA binding proteins derived from a single-step in vitro selection

Methods ◽  
2017 ◽  
Vol 126 ◽  
pp. 18-28 ◽  
Author(s):  
Kate B. Cook ◽  
Shankar Vembu ◽  
Kevin C.H. Ha ◽  
Hong Zheng ◽  
Kaitlin U. Laverty ◽  
...  
Keyword(s):  
Binding Proteins ◽  
In Vitro Selection ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Single Step ◽  
Sequence Structure ◽  
Rna Sequence

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]

scholarly journals The chloroplast ribonucleoprotein CP33B quantitatively binds the psbA mRNA

2020 ◽  
Author(s):  
Marlene Teubner ◽  
Benjamin Lenzen ◽  
Lucas Bernal Espenberger ◽  
Janina Fuss ◽  
Jörg Nickelsen ◽  
...  
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Dot Blot ◽  
Rna Sequence ◽  
External Stimuli

AbstractChloroplast RNAs are stabilized and processed by a multitude of nuclear-encoded RNA binding proteins, often in response to external stimuli like light and temperature. A particularly interesting RNA based regulation occurs with the psbA mRNA, which shows light-dependent translation. Recently, the chloroplast ribonucleoprotein CP33B was identified as a ligand of the psbA mRNA. We here characterized the interaction of CP33B with chloroplast RNAs in greater detail using a combination of RIP-chip, quantitative dot-blot, and RNA-Bind-n-Seq experiments. We demonstrate that CP33B prefers psbA over all other chloroplast RNAs and associates with vast majority of the psbA transcript pool. The RNA sequence target motif determined in vitro does not fully explain CP33B’s preference for psbA, suggesting that there are other determinants of specificity in vivo.

scholarly journals Sequence, Structure and Context Preferences of Human RNA Binding Proteins

2017 ◽  
Author(s):  
Daniel Dominguez ◽  
Peter Freese ◽  
Maria Alexis ◽  
Amanda Su ◽  
Myles Hochman ◽  
...  
Keyword(s):  
Rna Structure ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Sequence Structure ◽  
Rna Motifs ◽  
Core Motif ◽  
Contextual Features ◽  
Nucleotide Context

SUMMARYProduction of functional cellular RNAs involves multiple processing and regulatory steps principally mediated by RNA binding proteins (RBPs). Here we present the affinity landscapes of 78 human RBPs using an unbiased assay that determines the sequence, structure, and context preferences of an RBP in vitro from deep sequencing of bound RNAs. Analyses of these data revealed several interesting patterns, including unexpectedly low diversity of RNA motifs, implying frequent convergent evolution of binding specificity toward a relatively small set of RNA motifs, many with low compositional complexity. Offsetting this trend, we observed extensive preferences for contextual features outside of core RNA motifs, including spaced “bipartite” motifs, biased flanking nucleotide context, and bias away from or towards RNA structure. These contextual features are likely to enable targeting of distinct subsets of transcripts by different RBPs that recognize the same core motif. Our results enable construction of “RNA maps” of RBP activity without requiring crosslinking-based assays, and provide unprecedented depth of information on the interaction of RBPs with RNA.

scholarly journals The Chloroplast Ribonucleoprotein CP33B Quantitatively Binds the psbA mRNA

Plants ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 367 ◽  
Author(s):  
Marlene Teubner ◽  
Benjamin Lenzen ◽  
Lucas Bernal Espenberger ◽  
Janina Fuss ◽  
Jörg Nickelsen ◽  
...  
Keyword(s):  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Dot Blot ◽  
Rna Sequence ◽  
External Stimuli

Chloroplast RNAs are stabilized and processed by a multitude of nuclear-encoded RNA-binding proteins, often in response to external stimuli like light and temperature. A particularly interesting RNA-based regulation occurs with the psbA mRNA, which shows light-dependent translation. Recently, the chloroplast ribonucleoprotein CP33B was identified as a ligand of the psbA mRNA. We here characterized the interaction of CP33B with chloroplast RNAs in greater detail using a combination of RIP-chip, quantitative dot-blot, and RNA-Bind-n-Seq experiments. We demonstrate that CP33B prefers psbA over all other chloroplast RNAs and associates with the vast majority of the psbA transcript pool. The RNA sequence target motif, determined in vitro, does not fully explain CP33B’s preference for psbA, suggesting that there are other determinants of specificity in vivo.

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 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.

scholarly journals Crystal Structure of a Variant PAM2 Motif of LARP4B Bound to the MLLE Domain of PABPC1

Biomolecules ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 872 ◽  
Author(s):  
Clemens Grimm ◽  
Jann-Patrick Pelz ◽  
Cornelius Schneider ◽  
Katrin Schäffler ◽  
Utz Fischer
Keyword(s):  
Crystal Structure ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Turnover Rates ◽  
Mrna Transcription ◽  
Terminal Part ◽  
Protein Output

Eukaryotic cells determine the protein output of their genetic program by regulating mRNA transcription, localization, translation and turnover rates. This regulation is accomplished by an ensemble of RNA-binding proteins (RBPs) that bind to any given mRNA, thus forming mRNPs. Poly(A) binding proteins (PABPs) are prominent members of virtually all mRNPs that possess poly(A) tails. They serve as multifunctional scaffolds, allowing the recruitment of diverse factors containing a poly(A)-interacting motif (PAM) into mRNPs. We present the crystal structure of the variant PAM motif (termed PAM2w) in the N-terminal part of the positive translation factor LARP4B, which binds to the MLLE domain of the poly(A) binding protein C1 cytoplasmic 1 (PABPC1). The structural analysis, along with mutational studies in vitro and in vivo, uncovered a new mode of interaction between PAM2 motifs and MLLE domains.

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