Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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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Materials Map under construction

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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2024MeXpose─A Modular Imaging Pipeline for the Quantitative Assessment of Cellular Metal Bioaccumulationcitations
  • 2022Elemental Mapping of Human Malignant Mesothelioma Tissue Samples Using High-Speed LA-ICP-TOFMS Imaging.8citations
  • 2021Thermodynamic Genome-Scale Metabolic Modeling of Metallodrug Resistance in Colorectal Cancer7citations

Places of action

Chart of shared publication
Fyhrquist, Nanna
1 / 1 shared
Theiner, Sarah
2 / 3 shared
Wisgrill, Lukas
1 / 1 shared
Werner, Paulina
1 / 1 shared
Braun, Gabriel
1 / 1 shared
Schaier, Martin
1 / 1 shared
Zanghellini, Jürgen
2 / 2 shared
Haywood-Small, Sarah
1 / 1 shared
Clench, Malcolm
1 / 1 shared
Cole, Laura
1 / 1 shared
Voloaca, Oana M.
1 / 1 shared
Keppler, Bernhard K.
1 / 8 shared
Jakupec, Michael
1 / 8 shared
Rusz, Mate
1 / 1 shared
Herrmann, Helena A.
1 / 1 shared
Baier, Dina
1 / 1 shared
Berger, Walter
1 / 2 shared
Chart of publication period
2024
2022
2021

Co-Authors (by relevance)

  • Fyhrquist, Nanna
  • Theiner, Sarah
  • Wisgrill, Lukas
  • Werner, Paulina
  • Braun, Gabriel
  • Schaier, Martin
  • Zanghellini, Jürgen
  • Haywood-Small, Sarah
  • Clench, Malcolm
  • Cole, Laura
  • Voloaca, Oana M.
  • Keppler, Bernhard K.
  • Jakupec, Michael
  • Rusz, Mate
  • Herrmann, Helena A.
  • Baier, Dina
  • Berger, Walter
OrganizationsLocationPeople

article

Thermodynamic Genome-Scale Metabolic Modeling of Metallodrug Resistance in Colorectal Cancer

  • Keppler, Bernhard K.
  • Jakupec, Michael
  • Rusz, Mate
  • Herrmann, Helena A.
  • Baier, Dina
  • Koellensperger, Gunda
  • Zanghellini, Jürgen
  • Berger, Walter
Abstract

<p>Background: Mass spectrometry-based metabolomics approaches provide an immense opportunity to enhance our understanding of the mechanisms that underpin the cellular reprogramming of cancers. Accurate comparative metabolic profiling of heterogeneous conditions, however, is still a challenge. Methods: Measuring both intracellular and extracellular metabolite concentrations, we constrain four instances of a thermodynamic genome-scale metabolic model of the HCT116 colorectal carcinoma cell line to compare the metabolic flux profiles of cells that are either sensitive or resistant to ruthenium-or platinum-based treatments with BOLD-100/KP1339 and oxaliplatin, respectively. Results: Normalizing according to growth rate and normalizing resistant cells according to their respective sensitive controls, we are able to dissect metabolic responses specific to the drug and to the resistance states. We find the normalization steps to be crucial in the interpretation of the metabolomics data and show that the metabolic reprogramming in resistant cells is limited to a select number of pathways. Conclusions: Here, we elucidate the key importance of normalization steps in the interpretation of metabolomics data, allowing us to uncover drug-specific metabolic reprogramming during acquired metal-drug resistance.</p>

Topics
  • impedance spectroscopy
  • Platinum
  • mass spectrometry
  • spectrometry
  • normalizing
  • Ruthenium