2008
DOI: 10.1093/nar/gkn267
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High-throughput single-nucleotide structural mapping by capillary automated footprinting analysis

Abstract: The use of capillary electrophoresis with fluorescently labeled nucleic acids revolutionized DNA sequencing, effectively fueling the genomic revolution. We present an application of this technology for the high-throughput structural analysis of nucleic acids by chemical and enzymatic mapping (‘footprinting’). We achieve the throughput and data quality necessary for genomic-scale structural analysis by combining fluorophore labeling of nucleic acids with novel quantitation algorithms. We implemented these algor… Show more

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Cited by 93 publications
(96 citation statements)
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“…This large body of data can be analyzed in minutes instead of in hours using freely available semi-automated software (https://simtk.org/ home/safa) [110]. Still higher-throughput data acquisition is now possible using capillary electrophoresis and a software analysis package called CAFA [111]. Parallel advances have been made with a new and powerful footprinting approach called "SHAPE", which shows protection data for residues in secondary and tertiary structures [112][113][114].…”
Section: Rna: Present and Futurementioning
confidence: 99%
“…This large body of data can be analyzed in minutes instead of in hours using freely available semi-automated software (https://simtk.org/ home/safa) [110]. Still higher-throughput data acquisition is now possible using capillary electrophoresis and a software analysis package called CAFA [111]. Parallel advances have been made with a new and powerful footprinting approach called "SHAPE", which shows protection data for residues in secondary and tertiary structures [112][113][114].…”
Section: Rna: Present and Futurementioning
confidence: 99%
“…Extracting quantitative 4 reactivities for each nucleotide requires extensive multistep analytical signal processing. Diverse software tools have been developed to facilitate processing of electropherograms, including CAFA (Mitra et al 2008), ShapeFinder , HiTRACE (Yoon et al 2011), FAST (Pang et al 2011), and SHAPE-CE (Aviran et al 2011b). There is a critical balance to be struck between processing speed, pipeline simplicity, and degree of automation.…”
Section: Introductionmentioning
confidence: 99%
“…One approach for probing large numbers of RNA molecules involves chemically modifying RNA and reading out these events via electrophoresis or deep sequencing (Mitra et al 2008;Lucks et al 2011;Pang et al 2011;Yoon et al 2011). Numerous reagents, including protein nucleases (Walczak et al 1996;Grover et al 2011;Siegfried et al 2011), alkylating chemicals such as dimethyl sulfate (DMS) (Wells et al 2000;Tijerina et al 2007;Cordero et al 2012a), and hydroxyl radicals (Adilakshmi et al 2006;Das et al 2008;Ding et al 2012), have been leveraged to modify or cleave RNA in a structure-dependent manner.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous reagents, including protein nucleases (Walczak et al 1996;Grover et al 2011;Siegfried et al 2011), alkylating chemicals such as dimethyl sulfate (DMS) (Wells et al 2000;Tijerina et al 2007;Cordero et al 2012a), and hydroxyl radicals (Adilakshmi et al 2006;Das et al 2008;Ding et al 2012), have been leveraged to modify or cleave RNA in a structure-dependent manner. Protection of nucleotides from modification, typically signaling the formation of base pairs, can guide manual or automatic secondary structure inference (Mathews et al 2004;Mitra et al 2008;Vasa et al 2008). Strong cases have been made for using reagents that covalently modify 2 ′ -hydroxyls followed by readout via primer extension (SHAPE) (Merino et al 2005;Mortimer and Weeks 2007;Deigan et al 2009;Watts et al 2009;McGinnis et al 2012) and then applying these data as pseudoenergy bonuses in free-energy minimization algorithms, such as RNAstructure (Mathews et al 2004;Reuter and Mathews 2010;Hajdin et al 2013).…”
Section: Introductionmentioning
confidence: 99%