Using in-cell SHAPE-Seq and simulations to probe structure–function design principles of RNA transcriptional regulators

Antisense RNA-mediated transcriptional regulators are powerful tools for controlling gene expression and creating synthetic gene networks. RNA transcriptional repressors derived from natural mechanisms called attenuators are particularly versatile, though their mechanistic complexity has made them difficult to engineer. Here we identify a new structure-function design principle for attenuators that enables the forward engineering of new RNA transcriptional repressors. Using in-cell SHAPE-Seq to characterize the structures of attenuator variants within Escherichia coli, we show that attenuator hairpins that facilitate interaction with antisense RNAs require interior loops for proper function. Molecular dynamics simulations of these attenuator variants suggest these interior loops impart structural flexibility. We further observe hairpin flexibility in the cellular structures of natural RNA mechanisms that use antisense RNA interactions to repress translation, confirming earlier results from in vitro studies. Finally, we design new transcriptional attenuators in silico using an interior loop as a structural requirement and show that they function as desired in vivo. This work establishes interior loops as an important structural element for designing synthetic RNA gene regulators. We anticipate that the coupling of experimental measurement of cellular RNA structure and function with computational modeling will enable rapid discovery of structure-function design principles for a diverse array of natural and synthetic RNA regulators.

[1]  D. Nakada,et al.  Control of translation of MS2 RNA cistrons by MS2 coat protein. , 1967, Proceedings of the National Academy of Sciences of the United States of America.

[2]  E. Carlstein The Use of Subseries Values for Estimating the Variance of a General Statistic from a Stationary Sequence , 1986 .

[3]  E. Wagner,et al.  Control of replication of plasmid R1: kinetics of in vitro interaction between the antisense RNA, CopA, and its target, CopT. , 1988, The EMBO journal.

[4]  J. Kornblum,et al.  pT181 plasmid replication is regulated by a countertranscript-driven transcriptional attenuator , 1989, Cell.

[5]  C. Hama,et al.  Positive and negative regulations of plasmid CoLIb-P9 repZ gene expression at the translational level. , 1991, The Journal of biological chemistry.

[6]  K. Siemering,et al.  Interaction between the antisense and target RNAs involved in the regulation of IncB plasmid replication , 1993, Journal of bacteriology.

[7]  R. Simons,et al.  Antisense RNA control in bacteria, phages, and plasmids. , 1994, Annual review of microbiology.

[8]  K. Siemering,et al.  Mechanism of binding of the antisense and target RNAs involved in the regulation of IncB plasmid replication , 1994, Journal of bacteriology.

[9]  E. Wagner,et al.  Bulged-out nucleotides protect an antisense RNA from RNase III cleavage. , 1995, Nucleic acids research.

[10]  E. Wagner,et al.  Bulged-out nucleotides in an antisense RNA are required for rapid target RNA binding in vitro and inhibition in vivo. , 1995, Nucleic acids research.

[11]  E. Wagner,et al.  Antisense RNA regulation in prokaryotes: rapid RNA/RNA interaction facilitated by a general U-turn loop structure. , 1999, Journal of molecular biology.

[12]  P. Kollman,et al.  How well does a restrained electrostatic potential (RESP) model perform in calculating conformational energies of organic and biological molecules? , 2000 .

[13]  Junmei Wang,et al.  How well does a restrained electrostatic potential (RESP) model perform in calculating conformational energies of organic and biological molecules? , 2000, J. Comput. Chem..

[14]  E. Wagner,et al.  Antisense RNA‐mediated transcriptional attenuation: an in vitro study of plasmid pT181 , 2000, Molecular microbiology.

[15]  E Westhof,et al.  Progression of a loop–loop complex to a four‐way junction is crucial for the activity of a regulatory antisense RNA , 2000, The EMBO journal.

[16]  E Westhof,et al.  Bulged residues promote the progression of a loop-loop interaction to a stable and inhibitory antisense-target RNA complex. , 2001, Nucleic acids research.

[17]  E. Westhof,et al.  Four-way junctions in antisense RNA-mRNA complexes involved in plasmid replication control: a common theme? , 2001, Journal of molecular biology.

[18]  W. Olson,et al.  3DNA: a software package for the analysis, rebuilding and visualization of three-dimensional nucleic acid structures. , 2003, Nucleic acids research.

[19]  S. Gottesman The small RNA regulators of Escherichia coli: roles and mechanisms*. , 2004, Annual review of microbiology.

[20]  R. Breaker,et al.  Regulation of bacterial gene expression by riboswitches. , 2005, Annual review of microbiology.

[21]  Eric J. Sorin,et al.  Exploring the helix-coil transition via all-atom equilibrium ensemble simulations. , 2005, Biophysical journal.

[22]  T. Terwilliger,et al.  Engineering and characterization of a superfolder green fluorescent protein , 2006, Nature Biotechnology.

[23]  Ken A Dill,et al.  Use of the Weighted Histogram Analysis Method for the Analysis of Simulated and Parallel Tempering Simulations. , 2007, Journal of chemical theory and computation.

[24]  S. Brantl Regulatory mechanisms employed by cis-encoded antisense RNAs. , 2007, Current opinion in microbiology.

[25]  F. Major,et al.  The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data , 2008, Nature.

[26]  Cole Trapnell,et al.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome , 2009, Genome Biology.

[27]  Feng Ding,et al.  Native-like RNA tertiary structures using a sequence-encoded cleavage agent and refinement by discrete molecular dynamics. , 2009, Journal of the American Chemical Society.

[28]  David H. Mathews,et al.  RNAstructure: software for RNA secondary structure prediction and analysis , 2010, BMC Bioinformatics.

[29]  D. G. Gibson,et al.  Enzymatic assembly of DNA molecules up to several hundred kilobases , 2009, Nature Methods.

[30]  Cole Trapnell,et al.  Multiplexed RNA structure characterization with selective 2′-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq) , 2011, Proceedings of the National Academy of Sciences.

[31]  Cole Trapnell,et al.  Modeling and automation of sequencing-based characterization of RNA structure , 2011, Proceedings of the National Academy of Sciences.

[32]  Lior Pachter,et al.  RNA structure characterization from chemical mapping experiments , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[33]  Niles A. Pierce,et al.  Nucleic acid sequence design via efficient ensemble defect optimization , 2011, J. Comput. Chem..

[34]  Adam P Arkin,et al.  Versatile RNA-sensing transcriptional regulators for engineering genetic networks , 2011, Proceedings of the National Academy of Sciences.

[35]  Conrad Steenberg,et al.  NUPACK: Analysis and design of nucleic acid systems , 2011, J. Comput. Chem..

[36]  Y. Yokobayashi,et al.  Engineering artificial small RNAs for conditional gene silencing in Escherichia coli. , 2012, ACS synthetic biology.

[37]  James J. Collins,et al.  Genetic switchboard for synthetic biology applications , 2012, Proceedings of the National Academy of Sciences.

[38]  Christopher A. Lavender,et al.  Three-Dimensional RNA Structure Refinement by Hydroxyl Radical Probing , 2012, Nature Methods.

[39]  Julius B. Lucks,et al.  A modular strategy for engineering orthogonal chimeric RNA transcription regulators , 2013, Nucleic acids research.

[40]  J. Park,et al.  Metabolic engineering of Escherichia coli using synthetic small regulatory RNAs , 2013, Nature Biotechnology.

[41]  K. Weeks,et al.  The cellular environment stabilizes adenine riboswitch RNA structure. , 2013, Biochemistry.

[42]  Christopher A. Voigt,et al.  Characterization of 582 natural and synthetic terminators and quantification of their design constraints , 2013, Nature Methods.

[43]  Angel E García,et al.  High-resolution reversible folding of hyperstable RNA tetraloops using molecular dynamics simulations , 2013, Proceedings of the National Academy of Sciences.

[44]  Peter M. Kasson,et al.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit , 2013, Bioinform..

[45]  Minjae Lee,et al.  RNA design rules from a massive open laboratory , 2014, Proceedings of the National Academy of Sciences.

[46]  James J. Collins,et al.  Paper-Based Synthetic Gene Networks , 2014, Cell.

[47]  K. Weeks,et al.  Ribosome RNA assembly intermediates visualized in living cells. , 2014, Biochemistry.

[48]  Nancy Wilkins-Diehr,et al.  XSEDE: Accelerating Scientific Discovery , 2014, Computing in Science & Engineering.

[49]  J. Collins,et al.  Toehold Switches: De-Novo-Designed Regulators of Gene Expression , 2014, Cell.

[50]  Kyle E. Watters,et al.  SHAPE-Seq 2.0: systematic optimization and extension of high-throughput chemical probing of RNA secondary structure with next generation sequencing , 2014, Nucleic acids research.

[51]  H. Salis,et al.  Efficient search, mapping, and optimization of multi‐protein genetic systems in diverse bacteria , 2014 .

[52]  Farren J. Isaacs,et al.  Multilayered genetic safeguards limit growth of microorganisms to defined environments , 2015, Nucleic acids research.

[53]  James Chappell,et al.  Creating small transcription activating RNAs. , 2015, Nature chemical biology.

[54]  Kyle E. Watters,et al.  A renaissance in RNA synthetic biology: new mechanisms, applications and tools for the future. , 2015, Current opinion in chemical biology.

[55]  Richard M. Murray,et al.  Rapidly Characterizing the Fast Dynamics of RNA Genetic Circuitry with Cell-Free Transcription–Translation (TX-TL) Systems , 2014, ACS synthetic biology.

[56]  J. Lucks,et al.  Improving fold activation of small transcription activating RNAs (STARs) with rational RNA engineering strategies , 2015, bioRxiv.

[57]  Kyle E. Watters,et al.  Simultaneous characterization of cellular RNA structure and function with in-cell SHAPE-Seq , 2015, Nucleic acids research.