Evidence map›Paper›PMID 16406562›Full record

ArticleJournal of the American Society for Mass Spectrometry2006

Some guidelines for the analysis of genomic DNA by PCR-LC-ESI-MS.

Herbert Oberacher, Harald Niederstätter, Bruno Casetta, Walther Parson

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Herbert OberacherInstitute of Legal Medicine, Innsbruck Medical University, Innsbruck, Austria. herbert.oberacher@uibk.ac.at
Harald Niederstätter
Bruno Casetta
Walther Parson
Innsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ion-pair reversed-phase high-performance liquid chromatography online hyphenated to electrospray ionization mass spectrometry (ICEMS) represents an efficient method for the characterization of nucleic acids amplified by polymerase chain reaction (PCR). Since sample preparation is limited to PCR, the optimization of its solution conditions is of utmost importance for efficient mass spectrometric detection. The compatibility of a number of different commercially available PCR components including DNA polymerases, deoxynucleotide triphosphates, bovine serum albumin, enhancer, and ionic buffers was evaluated. These experiments revealed that higher concentration of enhancer and detergents such as Tween-20 or Nonidet P-40 impairs the mass spectrometric detection of nucleic acids and should be avoided within the PCR mixture. The optimized analytical platform was applied to the characterization of PCR products covering parts of the first hypervariable region of the noncoding mitochondrial control region. Truncated amplicons were detected attributable to the use of low quality primers. Furthermore, due to the proofreading activity of the applied polymerase system, mismatches between the primer and the target sequence located at the last or the second last base at the 3'-end of primers were corrected and detected within the corresponding amplicons.

Indexed as

Chromatography, High Pressure LiquidDNADNA, MitochondrialHumansIndicators and ReagentsOligonucleotidesReverse Transcriptase Polymerase Chain ReactionSpectrometry, Mass, Electrospray IonizationDNADNA, MitochondrialIndicators and ReagentsOligonucleotides

Identifiers

PMID16406562
OpenAlexW2010356257

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.