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RoboOligo: software for mass spectrometry data to support manual and de novo sequencing of post-transcriptionally modified ribonucleic acids.

ABSTRACT: Ribosomal ribonucleic acid (RNA), transfer RNA and other biological or synthetic RNA polymers can contain nucleotides that have been modified by the addition of chemical groups. Traditional Sanger sequencing methods cannot establish the chemical nature and sequence of these modified-nucleotide containing oligomers. Mass spectrometry (MS) has become the conventional approach for determining the nucleotide composition, modification status and sequence of modified RNAs. Modified RNAs are analyzed by MS using collision-induced dissociation tandem mass spectrometry (CID MS/MS), which produces a complex dataset of oligomeric fragments that must be interpreted to identify and place modified nucleosides within the RNA sequence. Here we report the development of RoboOligo, an interactive software program for the robust analysis of data generated by CID MS/MS of RNA oligomers. There are three main functions of RoboOligo: (i) automated de novo sequencing via the local search paradigm. (ii) Manual sequencing with real-time spectrum labeling and cumulative intensity scoring. (iii) A hybrid approach, coined 'variable sequencing', which combines the user intuition of manual sequencing with the high-throughput sampling of automated de novo sequencing.

SUBMITTER: Sample PJ

PROVIDER: S-EPMC4446411 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

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RoboOligo: software for mass spectrometry data to support manual and de novo sequencing of post-transcriptionally modified ribonucleic acids.

Sample Paul J PJ Gaston Kirk W KW Alfonzo Juan D JD Limbach Patrick A PA

Nucleic acids research 20150327 10

Ribosomal ribonucleic acid (RNA), transfer RNA and other biological or synthetic RNA polymers can contain nucleotides that have been modified by the addition of chemical groups. Traditional Sanger sequencing methods cannot establish the chemical nature and sequence of these modified-nucleotide containing oligomers. Mass spectrometry (MS) has become the conventional approach for determining the nucleotide composition, modification status and sequence of modified RNAs. Modified RNAs are analyzed b ...[more]

PMID: 25820423

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Project description:The chemical synthesis of ribonucleic acids (RNA) with novel chemical modifications is largely driven by the motivation to identify eligible functional probes for the various applications in life sciences. To this end, we have a strong focus on the development of novel fluorinated RNA derivatives that are powerful in NMR spectroscopic analysis of RNA folding and RNA ligand interactions. Here, we report on the synthesis of 2'-SCF3 pyrimidine nucleoside containing oligoribonucleotides and the comprehensive investigation of their structure and base pairing properties. While this modification has a modest impact on thermodynamic stability when it resides in single-stranded regions, it was found to be destabilizing to a surprisingly high extent when located in double helical regions. Our NMR spectroscopic investigations on short single-stranded RNA revealed a strong preference for C2'-endo conformation of the 2'-SCF3 ribose unit. Together with a recent computational study (L. Li, J. W. Szostak, J. Am. Chem. Soc. 2014, 136, 2858-2865) that estimated the extent of destabilization caused by a single C2'-endo nucleotide within a native RNA duplex to amount to 6 kcal mol(-1) because of disruption of the planar base pair structure, these findings support the notion that the intrinsic preference for C2'-endo conformation of 2'-SCF3 nucleosides is most likely responsible for the pronounced destabilization of double helices. Importantly, we were able to crystallize 2'-SCF3 modified RNAs and solved their X-ray structures at atomic resolution. Interestingly, the 2'-SCF3 containing nucleosides that were engaged in distinct mismatch arrangements, but also in a standard Watson-Crick base pair, adopted the same C3'-endo ribose conformations as observed in the structure of the unmodified RNA. Likely, strong crystal packing interactions account for this observation. In all structures, the fluorine atoms made surprisingly close contacts to the oxygen atoms of the corresponding pyrimidine nucleobase (O2), and the 2'-SCF3 moieties participated in defined water-bridged hydrogen-bonding networks in the minor groove. All these features allow a rationalization of the structural determinants of the 2'-SCF3 nucleoside modification and correlate them to base pairing properties.

Project description:BackgroundTransposable elements are abundant in eukaryotic genomes and it is believed that they have a significant impact on the evolution of gene and chromosome structure. While there are several completed eukaryotic genome projects, there are only few high quality genome wide annotations of transposable elements. Therefore, there is a considerable demand for computational identification of transposable elements. LTR retrotransposons, an important subclass of transposable elements, are well suited for computational identification, as they contain long terminal repeats (LTRs).ResultsWe have developed a software tool LTRharvest for the de novo detection of full length LTR retrotransposons in large sequence sets. LTRharvest efficiently delivers high quality annotations based on known LTR transposon features like length, distance, and sequence motifs. A quality validation of LTRharvest against a gold standard annotation for Saccharomyces cerevisae and Drosophila melanogaster shows a sensitivity of up to 90% and 97% and specificity of 100% and 72%, respectively. This is comparable or slightly better than annotations for previous software tools. The main advantage of LTRharvest over previous tools is (a) its ability to efficiently handle large datasets from finished or unfinished genome projects, (b) its flexibility in incorporating known sequence features into the prediction, and (c) its availability as an open source software.ConclusionLTRharvest is an efficient software tool delivering high quality annotation of LTR retrotransposons. It can, for example, process the largest human chromosome in approx. 8 minutes on a Linux PC with 4 GB of memory. Its flexibility and small space and run-time requirements makes LTRharvest a very competitive candidate for future LTR retrotransposon annotation projects. Moreover, the structured design and implementation and the availability as open source provides an excellent base for incorporating novel concepts to further improve prediction of LTR retrotransposons.

Dataset Information

RoboOligo: software for mass spectrometry data to support manual and de novo sequencing of post-transcriptionally modified ribonucleic acids.

Publications

RoboOligo: software for mass spectrometry data to support manual and de novo sequencing of post-transcriptionally modified ribonucleic acids.

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