Literature DB >> 28661647

Multiplex Aptamer Discovery through Apta-Seq and Its Application to ATP Aptamers Derived from Human-Genomic SELEX.

Michael M Abdelsayed1, Bao T Ho2, Michael M K Vu3, Julio Polanco1, Robert C Spitale2,3, Andrej Lupták1,2,3.   

Abstract

Laboratory-evolved RNAs bind a wide variety of targets and serve highly diverse functions, including as diagnostic and therapeutic aptamers. The majority of aptamers have been identified using in vitro selection (SELEX), a molecular evolution technique based on selecting target-binding RNAs from highly diverse pools through serial rounds of enrichment and amplification. In vitro selection typically yields multiple distinct motifs of highly variable abundance and target-binding affinities. The discovery of new aptamers is often limited by the difficulty of characterizing the selected motifs, because testing of individual sequences tends to be a tedious process. To facilitate the discovery of new aptamers within in vitro selected pools, we developed Apta-Seq, a multiplex analysis based on quantitative, ligand-dependent 2' acylation of solvent-accessible regions of the selected RNA pools, followed by reverse transcription (SHAPE) and deep sequencing. The method reveals, in a single sequencing experiment, the identity, structural features, and target dissociation constants for aptamers present in the selected pool. Application of Apta-Seq to a human genomic pool enriched for ATP-binding RNAs yielded three new aptamers, which together with previously identified human aptamers suggest that ligand-binding RNAs may be common in mammals.

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Year:  2017        PMID: 28661647      PMCID: PMC5775184          DOI: 10.1021/acschembio.7b00001

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  40 in total

1.  Genomic systematic evolution of ligands by exponential enrichment (Genomic SELEX) for the identification of protein-binding RNAs independent of their expression levels.

Authors:  Christina Lorenz; Frederike von Pelchrzim; Renée Schroeder
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

2.  Analysis of the RNA backbone: structural analysis of riboswitches by in-line probing and selective 2'-hydroxyl acylation and primer extension.

Authors:  Catherine A Wakeman; Wade C Winkler
Journal:  Methods Mol Biol       Date:  2009

3.  High-Throughput Measurement of Binding Kinetics by mRNA Display and Next-Generation Sequencing.

Authors:  Farzad Jalali-Yazdi; Lan Huong Lai; Terry T Takahashi; Richard W Roberts
Journal:  Angew Chem Int Ed Engl       Date:  2016-02-23       Impact factor: 15.336

4.  Genome-wide profiling of in vivo RNA structure at single-nucleotide resolution using structure-seq.

Authors:  Yiliang Ding; Chun Kit Kwok; Yin Tang; Philip C Bevilacqua; Sarah M Assmann
Journal:  Nat Protoc       Date:  2015-06-18       Impact factor: 13.491

5.  StructureFold: genome-wide RNA secondary structure mapping and reconstruction in vivo.

Authors:  Yin Tang; Emil Bouvier; Chun Kit Kwok; Yiliang Ding; Anton Nekrutenko; Philip C Bevilacqua; Sarah M Assmann
Journal:  Bioinformatics       Date:  2015-04-16       Impact factor: 6.937

6.  Free state conformational sampling of the SAM-I riboswitch aptamer domain.

Authors:  Colby D Stoddard; Rebecca K Montange; Scott P Hennelly; Robert P Rambo; Karissa Y Sanbonmatsu; Robert T Batey
Journal:  Structure       Date:  2010-07-14       Impact factor: 5.006

7.  SHAPE-Seq 2.0: systematic optimization and extension of high-throughput chemical probing of RNA secondary structure with next generation sequencing.

Authors:  David Loughrey; Kyle E Watters; Alexander H Settle; Julius B Lucks
Journal:  Nucleic Acids Res       Date:  2014-10-10       Impact factor: 16.971

8.  RNA Bind-n-Seq: quantitative assessment of the sequence and structural binding specificity of RNA binding proteins.

Authors:  Nicole Lambert; Alex Robertson; Mohini Jangi; Sean McGeary; Phillip A Sharp; Christopher B Burge
Journal:  Mol Cell       Date:  2014-05-15       Impact factor: 17.970

9.  Bacterial RNA motif in the 5' UTR of rpsF interacts with an S6:S18 complex.

Authors:  Yang Fu; Kaila Deiorio-Haggar; Mark W Soo; Michelle M Meyer
Journal:  RNA       Date:  2013-12-05       Impact factor: 4.942

10.  Comprehensive analysis of RNA-protein interactions by high-throughput sequencing-RNA affinity profiling.

Authors:  Jacob M Tome; Abdullah Ozer; John M Pagano; Dan Gheba; Gary P Schroth; John T Lis
Journal:  Nat Methods       Date:  2014-05-08       Impact factor: 28.547

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  7 in total

1.  Hovlinc is a recently evolved class of ribozyme found in human lncRNA.

Authors:  Yue Chen; Fei Qi; Fan Gao; Huifen Cao; Dongyang Xu; Kourosh Salehi-Ashtiani; Philipp Kapranov
Journal:  Nat Chem Biol       Date:  2021-03-22       Impact factor: 15.040

2.  PATTERNA: transcriptome-wide search for functional RNA elements via structural data signatures.

Authors:  Mirko Ledda; Sharon Aviran
Journal:  Genome Biol       Date:  2018-03-01       Impact factor: 13.583

Review 3.  Mammalian RNA switches: Molecular rheostats in gene regulation, disease, and medicine.

Authors:  Kadiam C Venkata Subbaiah; Omar Hedaya; Jiangbin Wu; Feng Jiang; Peng Yao
Journal:  Comput Struct Biotechnol J       Date:  2019-10-24       Impact factor: 7.271

4.  Single-round isolation of diverse RNA aptamers from a random sequence pool.

Authors:  Masahiko Imashimizu; Masaki Takahashi; Ryo Amano; Yoshikazu Nakamura
Journal:  Biol Methods Protoc       Date:  2018-05-24

Review 5.  Implementation of High-Throughput Sequencing (HTS) in Aptamer Selection Technology.

Authors:  Natalia Komarova; Daria Barkova; Alexander Kuznetsov
Journal:  Int J Mol Sci       Date:  2020-11-20       Impact factor: 5.923

6.  Diverse functional elements in RNA predicted transcriptome-wide by orthogonal RNA structure probing.

Authors:  Dalen Chan; Chao Feng; Whitney E England; Dana Wyman; Ryan A Flynn; Xiuye Wang; Yongsheng Shi; Ali Mortazavi; Robert C Spitale
Journal:  Nucleic Acids Res       Date:  2021-11-18       Impact factor: 16.971

7.  Automated Recognition of RNA Structure Motifs by Their SHAPE Data Signatures.

Authors:  Pierce Radecki; Mirko Ledda; Sharon Aviran
Journal:  Genes (Basel)       Date:  2018-06-14       Impact factor: 4.096

  7 in total

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