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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Discriminant Principal Component Analysis of ToF-SIMS Spectra for Deciphering Compositional Differences of MSC-Secreted Extracellular Matrices8citations
  • 2023Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing4citations
  • 2023Risk Stratification of Patients with RUNX1-mutated Acute Myeloid Leukemiacitations
  • 2022Venetoclax synergizes with gilteritinib in FLT3 wild-type high-risk acute myeloid leukemia by suppressing MCL-169citations

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Freudenberg, Uwe
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Wobus, Manja
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Werner, Carsten
1 / 45 shared
Sockel, Katja
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Nitschke, Mirko
1 / 8 shared
Stölzel, Friedrich
2 / 2 shared
Magno, Valentina
1 / 2 shared
Zimmermann, Ralf
1 / 11 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Freudenberg, Uwe
  • Wobus, Manja
  • Werner, Carsten
  • Sockel, Katja
  • Nitschke, Mirko
  • Stölzel, Friedrich
  • Magno, Valentina
  • Zimmermann, Ralf
OrganizationsLocationPeople

article

Discriminant Principal Component Analysis of ToF-SIMS Spectra for Deciphering Compositional Differences of MSC-Secreted Extracellular Matrices

  • Freudenberg, Uwe
  • Wobus, Manja
  • Werner, Carsten
  • Sockel, Katja
  • Platzbecker, Uwe
  • Nitschke, Mirko
  • Stölzel, Friedrich
  • Magno, Valentina
  • Zimmermann, Ralf
Abstract

<p>Identifying characteristic extracellular matrix (ECM) variants is a key challenge in mechanistic biology, bioengineering, and medical diagnostics. The reported study demonstrates the potential of time-of-flight secondary ion mass spectrometry (ToF-SIMS) to detect subtle differences between human mesenchymal stromal cell (MSC)-secreted ECM types as induced by exogenous stimulation or emerging pathology. ToF-SIMS spectra of decellularized ECM samples are evaluated by discriminant principal component analysis (DPCA), an advanced multivariate analysis technique, to decipher characteristic compositional features. To establish the approach, signatures of major ECM proteins are determined from samples of pre-defined mixtures. Based on that, sets of ECM variants produced by MSCs in vitro are analyzed. Differences in the content of collagen, fibronectin, and laminin in the ECM resulting from the combined supplementation of MSC cultures with polymers that induce macromolecular crowding and with ascorbic acid are detected from the DPCA of ToF-SIMS spectra. The results are verified by immunostaining. Finally, the comparative ToF-SIMS analysis of ECM produced by MSCs of healthy donors and patients suffering from myelodysplastic syndrome display the potential of the novel methodology to reveal disease-associated alterations of the ECM composition.</p>

Topics
  • impedance spectroscopy
  • polymer
  • spectrometry
  • selective ion monitoring
  • secondary ion mass spectrometry