Evidence map›Paper›PMID 19264806›Full record

ArticleNucleic acids research2009

Identification of RNA molecules by specific enzyme digestion and mass spectrometry: software for and implementation of RNA mass mapping.

Rune Matthiesen, Finn Kirpekar

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. High resolution fingerprinting of single and double-stranded RNA using ion-pair reverse-phase chromatography.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2019
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Metabolic de-isotoping for improved LC-MS characterization of modified RNAs.Journal of the American Society for Mass Spectrometry · 2014
    Article
  14. Review
  15. Intact microRNA analysis using high resolution mass spectrometry.Journal of the American Society for Mass Spectrometry · 2014
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Rune MatthiesenPopulation Genetics-Instituto de Patologia e Imunologia Molecular da Universidad do Porto, Porto, Portugal. rmatthiesen@ipatimup.pt
Finn Kirpekar
IPO Porto · PTUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The idea of identifying or characterizing an RNA molecule based on a mass spectrum of specifically generated RNA fragments has been used in various forms for well over a decade. We have developed software-named RRM for 'RNA mass mapping'-which can search whole prokaryotic genomes or RNA FASTA sequence databases to identify the origin of a given RNA based on a mass spectrum of RNA fragments. As input, the program uses the masses of specific RNase cleavage of the RNA under investigation. RNase T1 digestion is used here as a demonstration of the usability of the method for RNA identification. The concept for identification is that the masses of the digestion products constitute a specific fingerprint, which characterize the given RNA. The search algorithm is based on the same principles as those used in peptide mass fingerprinting, but has here been extended to work for both RNA sequence databases and for genome searches. A simple and powerful probability model for ranking RNA matches is proposed. We demonstrate viability of the entire setup by identifying the DNA template of a series of RNAs of biological and of in vitro transcriptional origin in complete microbial genomes and by identifying authentic 16S ribosomal RNAs in a 'small ribosomal subunit RNA' database. Thus, we present a new tool for a rapid identification of unknown RNAs using only a few picomoles of starting material.

Indexed as

Ribonuclease T1SoftwareSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBase SequenceDatabases, Nucleic AcidGenome, ArchaealGenome, BacterialGenomicsMolecular Sequence DataRNA, ArchaealRNA, BacterialRNA, Ribosomal, 16SSequence Analysis, RNARibonuclease T1RNA, ArchaealRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID19264806
PMCPMC2665245
OpenAlexW2096228795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.