scholarly journals A quantitative and predictive model for RNA binding by human Pumilio proteins

2018 ◽  
Author(s):  
Inga Jarmoskaite ◽  
Sarah K. Denny ◽  
Pavanapuresan P. Vaidyanathan ◽  
Winston R. Becker ◽  
Johan O.L. Andreasson ◽  
...  
Keyword(s):  
Predictive Model ◽  
Rna Structure ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Quantitative Agreement ◽  
Sequence Motifs ◽  
Cellular Behavior ◽  
Linear Sequence ◽  
Pumilio Proteins

SummaryHigh-throughput methodologies have enabled routine generation of RNA target sets and sequence motifs for RNA-binding proteins (RBPs). Nevertheless, quantitative approaches are needed to capture the landscape of RNA/RBP interactions responsible for cellular regulation. We have used the RNA-MaP platform to directly measure equilibrium binding for thousands of designed RNAs and to construct a predictive model for RNA recognition by the human Pumilio proteins PUM1 and PUM2. Despite prior findings of linear sequence motifs, our measurements revealed widespread residue flipping and instances of positional coupling. Application of our thermodynamic model to published in vivo crosslinking data reveals quantitative agreement between predicted affinities and in vivo occupancies. Our analyses suggest a thermodynamically driven, continuous Pumilio binding landscape that is negligibly affected by RNA structure or kinetic factors, such as displacement by ribosomes. This work provides a quantitative foundation for dissecting the cellular behavior of RBPs and cellular features that impact their occupancies.

scholarly journals A unique ribonucleoprotein complex assembles preferentially on ecdysone-responsive sites in Drosophila melanogaster.

1993 ◽  
Vol 13 (9) ◽  
pp. 5323-5330 ◽  
Author(s):  
S A Amero ◽  
M J Matunis ◽  
E L Matunis ◽  
J W Hockensmith ◽  
G Raychaudhuri ◽  
...  
Keyword(s):  
Drosophila Melanogaster ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Polytene Chromosomes ◽  
Cell Extract ◽  
Sequence Motifs ◽  
Drosophila Cell ◽  
Rnase Digestion

The protein on ecdysone puffs (PEP) is associated preferentially with active ecdysone-inducible puffs on Drosophila polytene chromosomes and contains sequence motifs characteristic of transcription factors and RNA-binding proteins (S. A. Amero, S. C. R. Elgin, and A. L. Beyer, Genes Dev. 5:188-200, 1991). PEP is associated with RNA in vivo, as demonstrated here by the sensitivity of PEP-specific chromosomal immunostaining in situ to RNase digestion and by the immunopurification of PEP in Drosophila cell extract with heterogeneous nuclear ribonucleoprotein (hnRNP) complexes. As revealed by sequential immunostaining, PEP is found on a subset of chromosomal sites bound by the HRB (heterogeneous nuclear RNA-binding) proteins, which are basic Drosophila hnRNPs. These observations lead us to suggest that a unique, PEP-containing hnRNP complex assembles preferentially on the transcripts of ecdysone-regulated genes in Drosophila melanogaster presumably to expedite the transcription and/or processing of these transcripts.

scholarly journals Inferring Sequence-Structure Preferences of RNA-Binding Proteins with Convolutional Residual Networks

2018 ◽  
Author(s):  
Peter K. Koo ◽  
Praveen Anand ◽  
Steffan B. Paul ◽  
Sean R. Eddy
Keyword(s):  
Rna Structure ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Sequence Data ◽  
Synthetic Data ◽  
Sequence Motifs ◽  
Negative Effects ◽  
Interpretable Model ◽  
Saliency Analysis

AbstractTo infer the sequence and RNA structure specificities of RNA-binding proteins (RBPs) from experiments that enrich for bound sequences, we introduce a convolutional residual network which we call ResidualBind. ResidualBind significantly outperforms previous methods on experimental data from many RBP families. We interrogate ResidualBind to identify what features it has learned from high-affinity sequences with saliency analysis along with 1st-order and 2nd-orderin silicomutagenesis. We show that in addition to sequence motifs, ResidualBind learns a model that includes the number of motifs, their spacing, and both positive and negative effects of RNA structure context. Strikingly, ResidualBind learns RNA structure context, including detailed base-pairing relationships, directly from sequence data, which we confirm on synthetic data. ResidualBind is a powerful, flexible, and interpretable model that can uncovercis-recognition preferences across a broad spectrum of RBPs.

scholarly journals ssHMM: Extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data

2016 ◽  
Author(s):  
David Heller ◽  
Martin Vingron ◽  
Ralf Krestel ◽  
Uwe Ohler ◽  
Annalisa Marsico
Keyword(s):  
High Throughput ◽  
Rna Structure ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Synthetic Data ◽  
Sequence Motif ◽  
Sequence Motifs ◽  
Sequence Structure ◽  
Rna Motif ◽  
Post Transcriptional Regulation

AbstractRNA-binding proteins (RBPs) play important roles in RNA post-transcriptional regulation and recognize target RNAs via sequence-structure motifs. To which extent RNA structure influences protein binding in the presence or absence of a sequence motif is still poorly understood. Existing RNA motif finders which produce informative motifs and simultaneously capture the relationship between primary sequence and different RNA secondary structures are missing. We developed ssHMM, an RNA motif finder that combines a hidden Markov model (HMM) with Gibbs sampling to learn the joint sequence and structure binding preferences of RBPs from high-throughput data, such as CLIP-Seq sequences, and visualizes them as a graph. Evaluations on synthetic data showed that ssHMM reliably recovers fuzzy sequence motifs in 80 to 100% of the cases. It produces motifs with higher information content than existing tools and is faster than other methods on large datasets. Examples of new sequence-structure motifs identified by ssHMM for uncharacterized RBPs are also discussed. ssHMM is freely available on Github at https://github.molgen.mpg.de/heller/ssHMM.

scholarly journals Structural features within the NORAD long noncoding RNA underlie efficient repression of Pumilio activity

2021 ◽  
Author(s):  
Omer Ziv ◽  
Svetlana Farberov ◽  
Jian You Lau ◽  
Eric A Miska ◽  
Grzegorz Kudla ◽  
...  
Keyword(s):  
Rna Structure ◽  
Mammalian Cells ◽  
Noncoding Rna ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Structural Features ◽  
Structural Domain ◽  
Mrna Targets ◽  
Structural Principles ◽  
Pumilio Proteins

It is increasingly appreciated that long non-coding RNAs (lncRNAs) carry out important functions in mammalian cells, but how these are encoded in their sequences and manifested in their structures remains largely unknown. Some lncRNAs bind to and modulate the availability of RNA binding proteins, but the structural principles that underlie this mode of regulation are underexplored. Here, we focused on the NORAD lncRNA, which binds Pumilio proteins and modulates their ability to repress hundreds of mRNA targets. We probed the RNA structure and long-range RNA-RNA interactions formed by NORAD inside cells, under different stressful conditions. We discovered that NORAD structure is highly modular, and consists of well-defined domains that contribute independently to NORAD function. We discovered that NORAD structure spatially clusters the Pumilio binding sites along NORAD in a manner that contributes to the de-repression of Pumilio target proteins. Following arsenite stress, the majority of NORAD structure undergoes relaxation and forms inter-molecular interactions with RNAs that are targeted to stress granules. NORAD sequence thus dictates elaborated structural domain organization that facilitates its function on multiple levels, and which helps explain the extensive evolutionary sequence conservation of NORAD regions that are not predicted to directly bind Pumilio proteins.

scholarly journals CLIP-Seq and massively parallel functional analysis of the CELF6 RNA binding protein reveals a role in destabilizing synaptic gene mRNAs through interaction with 3’UTR elements in vivo

2018 ◽  
Author(s):  
Michael A. Rieger ◽  
Dana M. King ◽  
Barak A. Cohen ◽  
Joseph D. Dougherty
Keyword(s):  
Rna Binding ◽  
Rna Binding Proteins ◽  
Binding Protein ◽  
Rna Binding Protein ◽  
Synaptic Proteins ◽  
Massively Parallel ◽  
Sequence Motifs ◽  
Mrna Targets ◽  
The Brain

AbstractCELF6 is a RNA-binding protein in a family of proteins with roles in human health and disease, however little is known about the mRNA targets or in vivo function of this protein. We utilized CLIP-Seq to identify, for the first time, in vivo targets of CELF6 and identify hundreds of transcripts bound by CELF6 in the brain. We found these are disproportionately mRNAs coding for synaptic proteins. We then conducted functional validation of these targets, testing greater than 400 CELF6 bound sequence elements for their activity, applying a massively parallel reporter assay framework to evaluation of the CLIP data. We also mutated potential binding motifs within these elements and tested their impact. This comprehensive analysis led us to ascribe a previously unknown function to CELF6: we found bound elements were generally repressive of translation, that CELF6 further enhances this repression via decreasing RNA abundance, and this process was dependent on UGU-rich sequence motifs. This greatly extends the known role for CELF6, which had previously been defined only as a splicing factor. We further extend these findings by demonstrating the same function for CELF3, CELF4, and CELF5. Finally, we demonstrate that the CELF6 targets are derepressed in CELF6 mutant mice in vivo, confirming this new role in the brain. Thus, our study demonstrates that CELF6 and other sub-family members are repressive CNS RNA-binding proteins, and CELF6 downregulates specific mRNAs in vivo.

scholarly journals rec-Y2H matrix screening reveals a vast potential for direct protein-protein interactions among RNA binding proteins

2020 ◽  
Author(s):  
Benjamin Lang ◽  
Jae-Seong Yang ◽  
Mireia Garriga-Canut ◽  
Silvia Speroni ◽  
Maria Gili ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Interaction Networks ◽  
Sequence Motifs ◽  
Protein Protein Interactions ◽  
Binding Interaction ◽  
Transcriptional Gene Regulation

AbstractRNA-binding proteins (RBPs) are crucial factors of post-transcriptional gene regulation and their modes of action are intensely investigated. At the center of attention are RNA motifs that guide where RBPs bind. However, sequence motifs are often poor predictors of RBP-RNA interactions in vivo. It is hence believed that many RBPs recognize RNAs as complexes, to increase specificity and regulatory possibilities. To probe the potential for complex formation among RBPs, we assembled a library of 978 mammalian RBPs and used rec-Y2H screening to detect direct interactions between RBPs, sampling > 600 K interactions. We discovered 1994 new interactions and demonstrate that interacting RBPs bind RNAs adjacently in vivo. We further find that the mRNA binding region and motif preferences of RBPs can deviate, depending on their adjacently binding interaction partners. Finally, we reveal novel RBP interaction networks among major RNA processing steps and show that splicing impairing RBP mutations observed in cancer rewire spliceosomal interaction networks.Graphical abstract

scholarly journals PUMILIO hyperactivity drives premature aging of Norad-deficient mice

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Florian Kopp ◽  
Mahmoud M Elguindy ◽  
Mehmet E Yalvac ◽  
He Zhang ◽  
Beibei Chen ◽  
...  
Keyword(s):  
Rna Binding ◽  
Rna Binding Proteins ◽  
Noncoding Rnas ◽  
Rapid Onset ◽  
Premature Aging ◽  
Transcriptional Repressors ◽  
Mouse Tissues ◽  
Physiologic Function ◽  
Pumilio Proteins

Although numerous long noncoding RNAs (lncRNAs) have been identified, our understanding of their roles in mammalian physiology remains limited. Here, we investigated the physiologic function of the conserved lncRNA Norad in vivo. Deletion of Norad in mice results in genomic instability and mitochondrial dysfunction, leading to a dramatic multi-system degenerative phenotype resembling premature aging. Loss of tissue homeostasis in Norad-deficient animals is attributable to augmented activity of PUMILIO proteins, which act as post-transcriptional repressors of target mRNAs to which they bind. Norad is the preferred RNA target of PUMILIO2 (PUM2) in mouse tissues and, upon loss of Norad, PUM2 hyperactively represses key genes required for mitosis and mitochondrial function. Accordingly, enforced Pum2 expression fully phenocopies Norad deletion, resulting in rapid-onset aging-associated phenotypes. These findings provide new insights and open new lines of investigation into the roles of noncoding RNAs and RNA binding proteins in normal physiology and aging.

scholarly journals Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures

Cell Research ◽  
2021 ◽  
Author(s):  
Lei Sun ◽  
Kui Xu ◽  
Wenze Huang ◽  
Yucheng T. Yang ◽  
Pan Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
Rna Structure ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Genetic Diseases ◽  
Cell Types ◽  
Cellular Protein ◽  
Rna Structures ◽  
Additional Cell

AbstractInteractions with RNA-binding proteins (RBPs) are integral to RNA function and cellular regulation, and dynamically reflect specific cellular conditions. However, presently available tools for predicting RBP–RNA interactions employ RNA sequence and/or predicted RNA structures, and therefore do not capture their condition-dependent nature. Here, after profiling transcriptome-wide in vivo RNA secondary structures in seven cell types, we developed PrismNet, a deep learning tool that integrates experimental in vivo RNA structure data and RBP binding data for matched cells to accurately predict dynamic RBP binding in various cellular conditions. PrismNet results for 168 RBPs support its utility for both understanding CLIP-seq results and largely extending such interaction data to accurately analyze additional cell types. Further, PrismNet employs an “attention” strategy to computationally identify exact RBP-binding nucleotides, and we discovered enrichment among dynamic RBP-binding sites for structure-changing variants (riboSNitches), which can link genetic diseases with dysregulated RBP bindings. Our rich profiling data and deep learning-based prediction tool provide access to a previously inaccessible layer of cell-type-specific RBP–RNA interactions, with clear utility for understanding and treating human diseases.

A unique ribonucleoprotein complex assembles preferentially on ecdysone-responsive sites in Drosophila melanogaster

1993 ◽  
Vol 13 (9) ◽  
pp. 5323-5330
Author(s):  
S A Amero ◽  
M J Matunis ◽  
E L Matunis ◽  
J W Hockensmith ◽  
G Raychaudhuri ◽  
...  
Keyword(s):  
Drosophila Melanogaster ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Polytene Chromosomes ◽  
Cell Extract ◽  
Sequence Motifs ◽  
Drosophila Cell ◽  
Rnase Digestion

The protein on ecdysone puffs (PEP) is associated preferentially with active ecdysone-inducible puffs on Drosophila polytene chromosomes and contains sequence motifs characteristic of transcription factors and RNA-binding proteins (S. A. Amero, S. C. R. Elgin, and A. L. Beyer, Genes Dev. 5:188-200, 1991). PEP is associated with RNA in vivo, as demonstrated here by the sensitivity of PEP-specific chromosomal immunostaining in situ to RNase digestion and by the immunopurification of PEP in Drosophila cell extract with heterogeneous nuclear ribonucleoprotein (hnRNP) complexes. As revealed by sequential immunostaining, PEP is found on a subset of chromosomal sites bound by the HRB (heterogeneous nuclear RNA-binding) proteins, which are basic Drosophila hnRNPs. These observations lead us to suggest that a unique, PEP-containing hnRNP complex assembles preferentially on the transcripts of ecdysone-regulated genes in Drosophila melanogaster presumably to expedite the transcription and/or processing of these transcripts.

scholarly journals RNA-binding proteins distinguish between similar sequence motifs to promote targeted deadenylation by Ccr4-Not

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Michael W Webster ◽  
James AW Stowell ◽  
Lori A Passmore
Keyword(s):  
Mrna Stability ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Low Complexity ◽  
Dissociation Rate ◽  
Sequence Motifs ◽  
Similar Sequence ◽  
Mrna Targets

The Ccr4-Not complex removes mRNA poly(A) tails to regulate eukaryotic mRNA stability and translation. RNA-binding proteins contribute to specificity by interacting with both Ccr4-Not and target mRNAs, but this is not fully understood. Here, we reconstitute accelerated and selective deadenylation of RNAs containing AU-rich elements (AREs) and Pumilio-response elements (PREs). We find that the fission yeast homologues of Tristetraprolin/TTP and Pumilio/Puf (Zfs1 and Puf3) interact with Ccr4-Not via multiple regions within low-complexity sequences, suggestive of a multipartite interface that extends beyond previously defined interactions. Using a two-color assay to simultaneously monitor poly(A) tail removal from different RNAs, we demonstrate that Puf3 can distinguish between RNAs of very similar sequence. Analysis of binding kinetics reveals that this is primarily due to differences in dissociation rate constants. Consequently, motif quality is a major determinant of mRNA stability for Puf3 targets in vivo and can be used for the prediction of mRNA targets.

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