scholarly journals Computational Design of Asymmetric Three-dimensional RNA Structures and Machines

2017 ◽  
Author(s):  
Joseph D. Yesselman ◽  
Daniel Eiler ◽  
Erik D. Carlson ◽  
Alexandra N. Ooms ◽  
Wipapat Kladwang ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Computational Design ◽  
Chemical Mapping ◽  
Rna Structures ◽  
Single Nucleotide ◽  
Rna Molecules ◽  
Rna Nanotechnology ◽  
X Ray Scattering ◽  
Nucleotide Resolution ◽  
Large Sections

AbstractThe emerging field of RNA nanotechnology seeks to create nanoscale 3D machines by repurposing natural RNA modules, but successes have been limited to symmetric assemblies of single repeating motifs. We present RNAMake, a suite that automates design of RNA molecules with complex 3D folds. We first challenged RNAMake with the paradigmatic problem of aligning a tetraloop and sequence-distal receptor, previously only solved via symmetry. Single-nucleotide-resolution chemical mapping, native gel electrophoresis, and solution x-ray scattering confirmed that 11 of the 16 ‘miniTTR’ designs successfully achieved clothespin-like folds. A 2.55 Å diffraction-resolution crystal structure of one design verified formation of the target asymmetric nanostructure, with large sections achieving near-atomic accuracy (< 2.0 Å). Finally, RNAMake designed asymmetric segments to tether the 16S and 23S rRNAs together into a synthetic singlestranded ribosome that remains uncleaved by ribonucleases and supports life in Escherichia coli, a challenge previously requiring several rounds of trial-and-error.

scholarly journals A method for RNA structure prediction shows evidence for structure in lncRNAs

2018 ◽  
Author(s):  
Riccardo Delli ponti ◽  
Alexandros Armaos ◽  
Stefanie Marti ◽  
Gian Gaetano Tartaglia
Keyword(s):  
Secondary Structure ◽  
Rna Structure ◽  
Structure Prediction ◽  
Sequence Information ◽  
Time Warping ◽  
Single Nucleotide ◽  
Rna Molecules ◽  
Rna Structure Prediction ◽  
Dynamic Time ◽  
Nucleotide Resolution

AbstractTo compare the secondary structures of RNA molecules we developed the CROSSalign method. CROSSalign is based on the combination of the Computational Recognition Of Secondary Structure (CROSS) algorithm to predict the RNA secondary structure at single-nucleotide resolution using sequence information, and the Dynamic Time Warping (DTW) method to align profiles of different lengths. We applied CROSSalign to investigate the structural conservation of long non-coding RNAs such as XIST and HOTAIR as well as ssRNA viruses including HIV. In a pool of sequences with the same secondary structure CROSSalign accurately recognizes repeat A of XIST and domain D2 of HOTAIR and outperforms other methods based on covariance modelling. CROSSalign can be applied to perform pair-wise comparisons and is able to find homologues between thousands of matches identifying the exact regions of similarity between profiles of different lengths. The algorithm is freely available at the webpage http://service.tartaglialab.com//new_submission/CROSSalign.

scholarly journals Accurate detection of m6A RNA modifications in native RNA sequences

2019 ◽  
Author(s):  
Huanle Liu ◽  
Oguzhan Begik ◽  
Morghan C Lucas ◽  
Christopher E. Mason ◽  
Schraga Schwartz ◽  
...  
Keyword(s):  
Rna Modifications ◽  
Rna Sequences ◽  
Single Nucleotide ◽  
Rna Molecules ◽  
Base Calling ◽  
Oxford Nanopore ◽  
Nucleotide Resolution ◽  
The Universe ◽  
Oxford Nanopore Technologies ◽  
Single Nucleotide Resolution

ABSTRACTThe field of epitranscriptomics has undergone an enormous expansion in the last few years; however, a major limitation is the lack of generic methods to map RNA modifications transcriptome-wide. Here we show that using Oxford Nanopore Technologies, N6-methyladenosine (m6A) RNA modifications can be detected with high accuracy, in the form of systematic errors and decreased base-calling qualities. Our results open new avenues to investigate the universe of RNA modifications with single nucleotide resolution, in individual RNA molecules.

scholarly journals Allosteric Mechanism of the V. vulnificus Adenine Riboswitch Resolved by Four-dimensional Chemical Mapping

2017 ◽  
Author(s):  
Siqi Tian ◽  
Wipapat Kladwang ◽  
Rhiju Das
Keyword(s):  
Strong Support ◽  
Chemical Mapping ◽  
Rna Molecules ◽  
Conformational Selection ◽  
Allosteric Mechanism ◽  
Ligand Free ◽  
Gene Regulatory ◽  
Nucleotide Resolution ◽  
Regulatory Functions ◽  
Structural Heterogeneities

ABSTRACTThe structural interconversions that mediate the gene regulatory functions of RNA molecules may be different from classic models of allostery, but the relevant structural correlations have remained elusive in even intensively studied systems. Here, we present a four-dimensional expansion of chemical mapping called lock-mutate-map-rescue (LM2R), which integrates multiple layers of mutation with nucleotide-resolution chemical mapping. This technique resolves the core mechanism of the adenine-responsive V. vulnificus add riboswitch, a paradigmatic system for which both Monod-Wyman-Changeux (MWC) conformational selection models and non-MWC alternatives have been proposed. To discriminate amongst these models, we locked each functionally important helix through designed mutations and assessed formation or depletion of other helices via compensatory rescue evaluated by chemical mapping. These LM2R measurements give strong support to the pre-existing correlations predicted by MWC models, disfavor alternative models, and suggest additional structural heterogeneities that may be general across ligand-free riboswitches.

scholarly journals Cotranscriptional kinetic folding of RNA secondary structures

2020 ◽  
Author(s):  
Vo Hong Thanh ◽  
Pekka Orponen
Keyword(s):  
Structure Formation ◽  
Rna Structure ◽  
Rna Folding ◽  
Computational Prediction ◽  
Simulation Method ◽  
Rna Structures ◽  
Rna Molecules ◽  
Primitive Operation ◽  
Nucleotide Resolution ◽  
Kinetics Of

Computational prediction of RNA structures is an important problem in computational structural biology. Studies of RNA structure formation often assume that the process starts from a fully synthesized sequence. Experimental evidence, however, has shown that RNA folds concurrently with its elongation. We investigate RNA structure formation, taking into account also the cotranscriptional effects. We propose a single-nucleotide resolution kinetic model of the folding process of RNA molecules, where the polymerase-driven elongation of an RNA strand by a new nucleotide is included as a primitive operation, together with a stochastic simulation method that implements this folding concurrently with the transcriptional synthesis. Numerical case studies show that our cotranscriptional RNA folding model can predict the formation of metastable conformations that are favored in actual biological systems. Our new computational tool can thus provide quantitative predictions and offer useful insights into the kinetics of RNA folding.

scholarly journals Distributed Biotin-Streptavidin Transcription Roadblocks for Mapping Cotranscriptional RNA Folding

2017 ◽  
Author(s):  
Eric J. Strobel ◽  
Kyle E. Watters ◽  
Julius B. Lucks
Keyword(s):  
Experimental Study ◽  
Rna Structure ◽  
Rna Folding ◽  
Folding Pathway ◽  
Decision Making Process ◽  
Important Process ◽  
Rna Structures ◽  
Rna Molecules ◽  
Fundamental Properties ◽  
Nucleotide Resolution

AbstractRNA molecules fold cotranscriptionally as they emerge from RNA polymerase. Cotranscriptional folding is an important process for proper RNA structure formation as the order of folding can determine an RNA molecule’s structure, and thus its functional properties. Despite its fundamental importance, the experimental study of RNA cotranscriptional folding has been limited by the lack of easily approachable methods that can interrogate nascent RNA structures at nucleotide resolution during transcription. We previously developed cotranscriptional selective 2’-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-seq) to simultaneously probe all of the intermediate structures an RNA molecule transitions through during transcription elongation. Here, we improve the broad applicability of cotranscriptional SHAPE-Seq by developing a sequence-independent streptavidin roadblocking strategy to simplify the preparation of roadblocking transcription templates. We determine the fundamental properties of streptavidin roadblocks and show that randomly distributed streptavidin roadblocks can be used in cotranscriptional SHAPE-Seq experiments to measure the Bacillus cereus crcB fluoride riboswitch folding pathway. Comparison of EcoRIE111Q and streptavidin roadblocks in cotranscriptional SHAPE-Seq data shows that both strategies identify the same RNA structural transitions related to the riboswitch decision-making process. Finally, we propose guidelines to leverage the complementary strengths of each transcription roadblock for use in studying cotranscriptional folding.

scholarly journals TIF-Seq2 disentangles overlapping isoforms in complex human transcriptomes

2020 ◽  
Vol 48 (18) ◽  
pp. e104-e104 ◽  
Author(s):  
Jingwen Wang ◽  
Bingnan Li ◽  
Sueli Marques ◽  
Lars M Steinmetz ◽  
Wu Wei ◽  
...  
Keyword(s):  
Human Cell Line ◽  
Rna Seq ◽  
Single Nucleotide ◽  
Rna Molecules ◽  
Unannotated Transcript ◽  
Long Read ◽  
Nucleotide Resolution ◽  
Overlapping Transcripts ◽  
Single Nucleotide Resolution ◽  
Leukaemia Patient

Abstract Eukaryotic transcriptomes are complex, involving thousands of overlapping transcripts. The interleaved nature of the transcriptomes limits our ability to identify regulatory regions, and in some cases can lead to misinterpretation of gene expression. To improve the understanding of the overlapping transcriptomes, we have developed an optimized method, TIF-Seq2, able to sequence simultaneously the 5′ and 3′ ends of individual RNA molecules at single-nucleotide resolution. We investigated the transcriptome of a well characterized human cell line (K562) and identified thousands of unannotated transcript isoforms. By focusing on transcripts which are challenging to be investigated with RNA-Seq, we accurately defined boundaries of lowly expressed unannotated and read-through transcripts putatively encoding fusion genes. We validated our results by targeted long-read sequencing and standard RNA-Seq for chronic myeloid leukaemia patient samples. Taking the advantage of TIF-Seq2, we explored transcription regulation among overlapping units and investigated their crosstalk. We show that most overlapping upstream transcripts use poly(A) sites within the first 2 kb of the downstream transcription units. Our work shows that, by paring the 5′ and 3′ end of each RNA, TIF-Seq2 can improve the annotation of complex genomes, facilitate accurate assignment of promoters to genes and easily identify transcriptionally fused genes.

scholarly journals Characterizing RNA structures in vitro and in vivo with selective 2'-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq)

2015 ◽  
Author(s):  
Kyle E Watters ◽  
Angela M Yu ◽  
Eric J Strobel ◽  
Alex H Settle ◽  
Julius Lucks
Keyword(s):  
Primer Extension ◽  
Computational Techniques ◽  
Rna Structures ◽  
Cellular Functions ◽  
Rna Molecules ◽  
Cellular Defense ◽  
Nucleotide Resolution ◽  
And Function

RNA molecules adopt a wide variety of structures that perform many cellular functions, including catalysis, small molecule sensing, and cellular defense, among others. Our ability to characterize, predict, and design RNA structures are key factors for understanding and controlling the biological roles of RNAs. Fortunately, there has been rapid progress in this area, especially with respect to experimental methods that can characterize RNA structures in a high throughput fashion using chemical probing and next-generation sequencing. Here, we describe one such method, selective 2'-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq), which measures nucleotide resolution flexibility information for RNAs in vitro and in vivo. We outline the process of designing and performing a SHAPE-Seq experiment and describe methods for using experimental SHAPE-Seq data to restrain computational folding algorithms to generate more accurate predictions of RNA secondary structure. We also provide a number of examples of SHAPE-Seq reactivity spectra obtained in vitro and in vivo and discuss important considerations for performing SHAPE-Seq experiments, both in terms of collecting and analyzing data. Finally we discuss improvements and extensions of these experimental and computational techniques that promise to deepen our knowledge of RNA folding and function.

scholarly journals Identifying proximal RNA interactions from cDNA-encoded crosslinks with ShapeJumper

2021 ◽  
Author(s):  
Thomas W Christy ◽  
Catherine A Giannetti ◽  
Alain Laederach ◽  
Kevin M Weeks
Keyword(s):  
Reverse Transcriptase ◽  
Massively Parallel Sequencing ◽  
Three Dimensional ◽  
Hydroxyl Groups ◽  
Sequencing Data ◽  
Bioinformatics Pipeline ◽  
Rna Molecules ◽  
Adapter Ligation ◽  
Alignment Strategy ◽  
Nucleotide Resolution

SHAPE-JuMP is a concise strategy for identifying close-in-space interactions in RNA molecules. Nucleotides in close three-dimensional proximity are crosslinked with a bi-reactive reagent that covalently links the 2'-hydroxyl groups of the ribose moieties. The identities of crosslinked nucleotides are determined using an engineered reverse transcriptase that jumps across crosslinked sites, resulting in a deletion in the cDNA that is detected using massively parallel sequencing. Here we introduce ShapeJumper, a bioinformatics pipeline to process SHAPE-JuMP sequencing data and to accurately identify through-space interactions. ShapeJumper identifies proximal interactions with near-nucleotide resolution using an alignment strategy that is optimized to tolerate the unique non-templated reverse-transcription profile of the engineered crosslink-traversing reverse-transcriptase. JuMP-inspired strategies are now poised to replace adapter-ligation for detecting RNA-RNA interactions in most crosslinking experiments.

scholarly journals Identifying proximal RNA interactions from cDNA-encoded crosslinks with ShapeJumper

2021 ◽  
Vol 17 (12) ◽  
pp. e1009632
Author(s):  
Thomas W. Christy ◽  
Catherine A. Giannetti ◽  
Alain Laederach ◽  
Kevin M. Weeks
Keyword(s):  
Reverse Transcriptase ◽  
Massively Parallel Sequencing ◽  
Three Dimensional ◽  
Hydroxyl Groups ◽  
Sequencing Data ◽  
Bioinformatics Pipeline ◽  
Rna Molecules ◽  
Adapter Ligation ◽  
Alignment Strategy ◽  
Nucleotide Resolution

SHAPE-JuMP is a concise strategy for identifying close-in-space interactions in RNA molecules. Nucleotides in close three-dimensional proximity are crosslinked with a bi-reactive reagent that covalently links the 2’-hydroxyl groups of the ribose moieties. The identities of crosslinked nucleotides are determined using an engineered reverse transcriptase that jumps across crosslinked sites, resulting in a deletion in the cDNA that is detected using massively parallel sequencing. Here we introduce ShapeJumper, a bioinformatics pipeline to process SHAPE-JuMP sequencing data and to accurately identify through-space interactions, as observed in complex JuMP datasets. ShapeJumper identifies proximal interactions with near-nucleotide resolution using an alignment strategy that is optimized to tolerate the unique non-templated reverse-transcription profile of the engineered crosslink-traversing reverse-transcriptase. JuMP-inspired strategies are now poised to replace adapter-ligation for detecting RNA-RNA interactions in most crosslinking experiments.

scholarly journals Allosteric mechanism of the V. vulnificus adenine riboswitch resolved by four-dimensional chemical mapping

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Siqi Tian ◽  
Wipapat Kladwang ◽  
Rhiju Das
Keyword(s):  
Strong Support ◽  
Chemical Mapping ◽  
Rna Molecules ◽  
Conformational Selection ◽  
Allosteric Mechanism ◽  
Ligand Free ◽  
Gene Regulatory ◽  
Nucleotide Resolution ◽  
Regulatory Functions ◽  
Structural Heterogeneities

The structural interconversions that mediate the gene regulatory functions of RNA molecules may be different from classic models of allostery, but the relevant structural correlations have remained elusive in even intensively studied systems. Here, we present a four-dimensional expansion of chemical mapping called lock-mutate-map-rescue (LM2R), which integrates multiple layers of mutation with nucleotide-resolution chemical mapping. This technique resolves the core mechanism of the adenine-responsive V. vulnificus add riboswitch, a paradigmatic system for which both Monod-Wyman-Changeux (MWC) conformational selection models and non-MWC alternatives have been proposed. To discriminate amongst these models, we locked each functionally important helix through designed mutations and assessed formation or depletion of other helices via compensatory rescue evaluated by chemical mapping. These LM2R measurements give strong support to the pre-existing correlations predicted by MWC models, disfavor alternative models, and suggest additional structural heterogeneities that may be general across ligand-free riboswitches.

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