Výsledky vyhledávání - "Astrid Wachter"

Akademický článek

Coordinated regulation of WNT/β-catenin, c-Met, and integrin signalling pathways by miR-193b controls triple negative breast cancer metastatic traits

Autor: Chiara Giacomelli, Janine Jung, Astrid Wachter, Susanne Ibing, Rainer Will, Stefan Uhlmann, Heiko Mannsperger, Özgür Sahin, Yosef Yarden, Tim Beißbarth, Ulrike Korf, Cindy Körner, Stefan Wiemann

Publikováno v: BMC Cancer, Vol 21, Iss 1, Pp 1-19 (2021)

Abstract Background Triple negative breast cancer (TNBC) is the most aggressive subtype of breast cancer (BC). Treatment options for TNBC patients are limited and further insights into disease aetiology are needed to develop better therapeutic approa

Externí odkaz: https://doaj.org/article/ece14dc9183445a5b9d8d24f84fd4050

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Akademický článek

Profiling Microglia From Alzheimer’s Disease Donors and Non-demented Elderly in Acute Human Postmortem Cortical Tissue

Autor: Astrid M. Alsema, Qiong Jiang, Laura Kracht, Emma Gerrits, Marissa L. Dubbelaar, Anneke Miedema, Nieske Brouwer, Elly M. Hol, Jinte Middeldorp, Roland van Dijk, Maya Woodbury, Astrid Wachter, Simon Xi, Thomas Möller, Knut P. Biber, Susanne M. Kooistra, Erik W. G. M. Boddeke, Bart J. L. Eggen

Publikováno v: Frontiers in Molecular Neuroscience, Vol 13 (2020)

Microglia are the tissue-resident macrophages of the central nervous system (CNS). Recent studies based on bulk and single-cell RNA sequencing in mice indicate high relevance of microglia with respect to risk genes and neuro-inflammation in Alzheimer

Externí odkaz: https://doaj.org/article/cf41d44a7139428b829cb962c615f345

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Akademický článek

TGFβ1 regulates HGF‐induced cell migration and hepatocyte growth factor receptor MET expression via C‐ets‐1 and miR‐128‐3p in basal‐like breast cancer

Autor: Christian Breunig, Nese Erdem, Alexander Bott, Julia F. Greiwe, Eileen Reinz, Stephan Bernhardt, Chiara Giacomelli, Astrid Wachter, Eva J. Kanthelhardt, Tim Beißbarth, Martina Vetter, Stefan Wiemann

Publikováno v: Molecular Oncology, Vol 12, Iss 9, Pp 1447-1463 (2018)

Breast cancer is the most common cancer in women worldwide. The tumor microenvironment contributes to tumor progression by inducing cell dissemination from the primary tumor and metastasis. TGFβ signaling is involved in breast cancer progression and

Externí odkaz: https://doaj.org/article/34f0a86e0ec44428b73caa47e29b7d49

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Akademický článek

Proteomic profiling of breast cancer metabolism identifies SHMT2 and ASCT2 as prognostic factors

Autor: Stephan Bernhardt, Michaela Bayerlová, Martina Vetter, Astrid Wachter, Devina Mitra, Volker Hanf, Tilmann Lantzsch, Christoph Uleer, Susanne Peschel, Jutta John, Jörg Buchmann, Edith Weigert, Karl-Friedrich Bürrig, Christoph Thomssen, Ulrike Korf, Tim Beissbarth, Stefan Wiemann, Eva Johanna Kantelhardt

Publikováno v: Breast Cancer Research, Vol 19, Iss 1, Pp 1-14 (2017)

Abstract Background Breast cancer tumors are known to be highly heterogeneous and differences in their metabolic phenotypes, especially at protein level, are less well-understood. Profiling of metabolism-related proteins harbors the potential to esta

Externí odkaz: https://doaj.org/article/c0b3d072a2094cbb8715d885c5891d44

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Akademický článek

Characterisation of tumour-derived microvesicles in cancer patients’ blood and correlation with clinical outcome

Autor: Kerstin Menck, Annalen Bleckmann, Astrid Wachter, Bianca Hennies, Lena Ries, Matthias Schulz, Marko Balkenhol, Tobias Pukrop, Bawarjan Schatlo, Ulrike Rost, Dirk Wenzel, Florian Klemm, Claudia Binder

Publikováno v: Journal of Extracellular Vesicles, Vol 6, Iss 1 (2017)

To evaluate whether tumour-derived microvesicles (T-MV), originating from the plasma membrane, represent suitable cancer biomarkers, we isolated MV from peripheral blood samples of cancer patients with locally advanced and/or metastatic solid tumours

Externí odkaz: https://doaj.org/article/a691e9ef3b404a18be53a9b8f285676c

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Akademický článek

RPPanalyzer Toolbox: An improved R package for analysis of reverse phase protein array data

Autor: Silvia von der Heyde, Johanna Sonntag, Daniel Kaschek, Christian Bender, Johannes Bues, Astrid Wachter, Jens Timmer, Ulrike Korf, Tim Beißbarth

Publikováno v: BioTechniques, Vol 57, Iss 3, Pp 125-135 (2014)

Analysis of large-scale proteomic data sets requires specialized software tools, tailored toward the requirements of individual approaches. Here we introduce an extension of an open-source software solution for analyzing reverse phase protein array (

Externí odkaz: https://doaj.org/article/36f3c99b5b6d499ea1285e944671061d

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