Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2003Use of Multienzyme Multiplex PCR Amplified Fragment Length Polymorphism Typing in Analysis of Outbreaks of Multiresistant <i>Klebsiella pneumoniae</i> in an Intensive Care Unit22citations

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Steer, Niels
1 / 1 shared
Zee, Anneke Van Der
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Nelson, Jolande
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Buiting, Anton
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Veen, Annemarie Vant
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2003

Co-Authors (by relevance)

  • Steer, Niels
  • Zee, Anneke Van Der
  • Nelson, Jolande
  • Buiting, Anton
  • Veen, Annemarie Vant
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article

Use of Multienzyme Multiplex PCR Amplified Fragment Length Polymorphism Typing in Analysis of Outbreaks of Multiresistant <i>Klebsiella pneumoniae</i> in an Intensive Care Unit

  • Steer, Niels
  • Zee, Anneke Van Der
  • Nelson, Jolande
  • Thijssen, Eveline
  • Buiting, Anton
  • Veen, Annemarie Vant
Abstract

<jats:title>ABSTRACT</jats:title><jats:p>We developed and optimized a new modified amplified fragment length polymorphism (AFLP) typing method to obtain a multibanding fingerprint that can be separated by agarose gel electrophoresis. Both to maximize the discriminatory power and to facilitate the computer-assisted analysis, bacterial DNA was digested with four different restriction enzymes. After ligation of adaptors to the DNA fragments, PCR testing of various single primers was performed. Two single primers that gave optimal results with regard to band resolution and discriminatory power were selected and combined. The computer-assisted analysis of fingerprint patterns was performed with Pearson's product-moment correlation values of densitometric curves, without assigning bands to peaks. Thus, the analysis is not subject to human interpretation errors. With this method, we investigated two outbreaks of multiresistant<jats:italic>Klebsiella pneumoniae</jats:italic>in an intensive care unit and various sporadic isolates of<jats:italic>K. pneumoniae</jats:italic>and<jats:italic>Klebsiella oxytoca.</jats:italic>Cluster analysis of isolates analyzed in different experiments and on different gels showed that fingerprint patterns clustered correctly according to subspecies or to the outbreaks. Multienzyme multiplex PCR AFLP revealed that the first outbreak was caused by two different types of strains. Outbreak two was caused by yet another strain of<jats:italic>K. pneumoniae</jats:italic>. In conclusion, the typing method used here is easy to perform and highly reproducible, and due to generation of complex banding patterns, it has a higher discriminatory power. Furthermore, the multienzyme multiplex PCR fingerprints are easy to analyze, and a reliable database can be stored in the computer to facilitate comparison of future isolates of<jats:italic>Klebsiella</jats:italic>spp. The method can be performed in every clinical microbiology laboratory.</jats:p>

Topics
  • impedance spectroscopy
  • cluster
  • experiment