Evidence map›Paper›PMID 14734817›Full record

ArticleNucleic acids research2004

Rapid and accurate characterisation of short tandem repeats by MALDI-TOF analysis of endonuclease cleaved RNA transcripts.

Doris Seichter, Stefan Krebs, Martin Förster

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. A novel (ATC)Veterinary medicine and science · 2021
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Simultaneous genotyping of indels and SNPs by mass spectroscopy.Journal of the American Society for Mass Spectrometry · 2006
    Article
  7. 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

3 authors at 1 institution in 1 country.

Doris SeichterLehrstuhl für Tierzucht und Allgemeine Landwirtschaftslehre, Tierärztliche Fakultät der Ludwig-Maximilians-Universität, Veterinärstrasse 13, D-80539 München, Germany. Doris.Seichter@gen.vetmed.uni-muenchen.de
Stefan Krebs
Martin Förster
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe the application of matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) for the characterisation of short tandem repeat (STR) sequences by the analysis of endonuclease cleaved RNA transcripts. Several simple bovine STR loci as well as interrupted and compound microsatellites were chosen as model loci to evaluate the capabilities of MALDI-TOF MS for STR analysis. In short, the described approach consists of a PCR amplification of the investigated STR sequence, which then is transcribed into RNA and cleaved by G-specific RNase T1. Base-specific cleavage of the transcript results in high informative fragment patterns from both the repetitive core sequence and the flanking region. Since sequence specificity from endonuclease cleavage is combined with the accuracy of MALDI-TOF measurements, this technique allows for fast and reliable determination of simple repeat lengths as well as for further characterisation of STR allele sequences, which is of high interest especially in more complex STR loci.

Indexed as

Dinucleotide RepeatsGenotypeReproducibility of ResultsRibonuclease T1RNASpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTranscription, GeneticTrinucleotide RepeatsRibonuclease T1RNA

Identifiers

PMID14734817
PMCPMC373373
OpenAlexW2108262346

What OpenQuestion holds

Textmetadata
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.