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 (6/6 displayed)

  • 2023MODL-14. IMAGING, HISTOLOGICAL AND MOLECULAR CHARACTERIZATION AND COMPARISON OF POST-ABLATION RECURRENT TUMOR WITH THE PRIMARY TUMOR IN A PRECLINICAL GLIOBLASTOMA MODELcitations
  • 2018The Effect of Scandium Ternary Intergrain Precipitates in Al-Containing High-Entropy Alloys12citations
  • 2018An interlaboratory comparison of X-ray computed tomography measurement for texture and dimensional characterisation of additively manufactured parts64citations
  • 2011Mechanically relevant consequences of the composite laminate-like design of the abdominal wall muscles and connective tissues.12citations
  • 2009A comparison of ultrasound and electromyography measures of force and activation to examine the mechanics of abdominal wall contraction.86citations
  • 2008An ultrasound investigation into the morphology of the human abdominal wall uncovers complex deformation patterns during contraction.14citations

Places of action

Chart of shared publication
Hasselbach, Laura
1 / 1 shared
Avritt, Faith
1 / 1 shared
Decarvalho, Ana
1 / 1 shared
Parasar, Parveen
1 / 1 shared
Bartlett, Seamus
1 / 1 shared
Morosini, Natalia
1 / 1 shared
Cabral, Glauber
1 / 1 shared
Ayloo, Bhargav
1 / 1 shared
Datta, Indrani
1 / 1 shared
Nagaraja, Tavarekere
1 / 1 shared
Lee, Ian
1 / 1 shared
Noushmehr, Houtan
1 / 1 shared
Ewing, James
1 / 1 shared
Knight, Robert
1 / 1 shared
Singh, Jaspreet
1 / 5 shared
Riva, Sephira
1 / 4 shared
Oeckler, Oliver
1 / 13 shared
Yusenko, Kirill
1 / 20 shared
Schwarzmüller, Stefan
1 / 1 shared
Lavery, Nicholas
1 / 1 shared
Mehraban, Shahin
1 / 2 shared
Ramsey, Andrew
1 / 1 shared
Blunt, Liam
1 / 23 shared
Leach, Richard
1 / 9 shared
Racasan, Radu
1 / 11 shared
Thompson, Adam
1 / 15 shared
Senin, Nicola
1 / 11 shared
Townsend, Andrew
1 / 5 shared
Bate, David
1 / 2 shared
Woolliams, Peter
1 / 2 shared
Chart of publication period
2023
2018
2011
2009
2008

Co-Authors (by relevance)

  • Hasselbach, Laura
  • Avritt, Faith
  • Decarvalho, Ana
  • Parasar, Parveen
  • Bartlett, Seamus
  • Morosini, Natalia
  • Cabral, Glauber
  • Ayloo, Bhargav
  • Datta, Indrani
  • Nagaraja, Tavarekere
  • Lee, Ian
  • Noushmehr, Houtan
  • Ewing, James
  • Knight, Robert
  • Singh, Jaspreet
  • Riva, Sephira
  • Oeckler, Oliver
  • Yusenko, Kirill
  • Schwarzmüller, Stefan
  • Lavery, Nicholas
  • Mehraban, Shahin
  • Ramsey, Andrew
  • Blunt, Liam
  • Leach, Richard
  • Racasan, Radu
  • Thompson, Adam
  • Senin, Nicola
  • Townsend, Andrew
  • Bate, David
  • Woolliams, Peter
OrganizationsLocationPeople

article

MODL-14. IMAGING, HISTOLOGICAL AND MOLECULAR CHARACTERIZATION AND COMPARISON OF POST-ABLATION RECURRENT TUMOR WITH THE PRIMARY TUMOR IN A PRECLINICAL GLIOBLASTOMA MODEL

  • Hasselbach, Laura
  • Avritt, Faith
  • Decarvalho, Ana
  • Parasar, Parveen
  • Bartlett, Seamus
  • Morosini, Natalia
  • Cabral, Glauber
  • Ayloo, Bhargav
  • Datta, Indrani
  • Nagaraja, Tavarekere
  • Lee, Ian
  • Noushmehr, Houtan
  • Ewing, James
  • Knight, Robert
  • Brown, Stephen
  • Singh, Jaspreet
Abstract

<jats:title>Abstract</jats:title><jats:p>Recurrent glioblastoma (rGBM) is highly aggressive and invasive. A reliable preclinical model that recapitulates these features is not presently available. The objective was to generate a preclinical rGBM model, characterize and compare its imaging, histological and molecular signatures in comparison to the primary tumor. Immune-suppressed, RNU/RNU female rats were implanted with U251N tumor cells in one brain hemisphere (n=33). Tumor progression in all rats was followed by longitudinal dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI). In 24 rats the tumor was ablated under diffusion-weighted imaging (DWI)-guided laser interstitial thermal therapy (LITT) at post-implantation 2-weeks. Cohorts from twenty ablated rats were euthanized at post-LITT 24 h, 2- and 4-weeks and, along with 5 unablated controls, used for hematoxylin and eosin (H&amp;E) and Ki67 staining. Tissues from 4 other unablated and 4 recurrent tumors at post-LITT 2-weeks were used for RNAseq. All the rats survived the LITT procedure. Unablated controls showed increased tumor burden by post-implantation 2 weeks and were euthanized. In the LITT group, MRI showed little tumor tissue at 24 h, evidence of recurrence at 2 weeks and significant tumor tissue at 4 weeks and matched with histological evidence for tumor recurrence. Compared to the primary tumor, H&amp;E staining showed increased vascular hyperplasia, mitotic bodies and hypoxic regions with pseudopalisading necrosis in the recurrent tumor. Increased KI67 staining in recurrent tumors suggested higher rates of proliferation and evidence of infiltration into host tissue. Pathway analyses demonstrated differentially expressed genes in the canonical pathways of hypoxia-inducible factor-alpha (HIF-1α), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) and OX40 signaling. The genes for the following functions were significantly affected: cell cycle, cellular movement and cell morphology. Reliable preclinical rGBM models are few. These data suggest that this model replicates the features of human rGBM and can be useful in testing putative anti-glioma therapies.</jats:p>

Topics
  • impedance spectroscopy
  • morphology
  • interstitial