Biology subjects

Contzen, J.

Publications and source records attributed to Contzen, J..

2 recordsLinked to original sources

bioRxiv2023

Quiescence-inducing 3D-engineered matrix uncovers mechanosensitive and drug protective FHL2-p21 signaling axis

Resected tumors frequently relapse with distant metastasis, despite systemic treatment. Cellular dormancy has been identified as an important mechanism underlying such drug resistance enabling late relapse. Nonetheless, hurdles associated with detection and isolation of disseminated cancer cells (DCCs) in disease-free patients urge the need for in vitro models of dormant cells suited for drug discovery. Here, we explore dormancy-inducing 3D-engineered matrices, which generate mechanical confinement and induce growth arrest and survival against chemotherapy in cancer cells. We characterized the dormant phenotype of solitary cells by P-ERKlow:P-p38high dormancy signaling ratio, along with Ki67-expression. As underlying mechanism, we identified stiffness-dependent nuclear localization of the four-and-a-half LIM domains 2 (FHL2) protein, leading to p53-independent high p21Cip1/Waf1 nuclear expression, validated in murine and human tissue. Suggestive of a resistance-causing role, cells in the dormancy-inducing matrix became sensitive against chemotherapy upon FHL2 downregulation. Thus, our biomaterial-based approach will enable systematic screens for novel compounds suited to eradicate potentially relapsing, dormant cancer cells. TeaserUsing semi-synthetic bioengineered hydrogels, we reveal a mechanosensitive and drug protective mechanism of dormant cancer cells in tissues

bioengineering↗

bioRxiv2020

FRC-QE: A robust and comparable 3D microscopy image quality metric for cleared organoids

Three-dimensional stem-cell-derived organoids are a powerful tool for studying cellular processes in tissue-like structures, enabling in vitro experiments in an organ-specific context. While organoid research has been closely linked to advances in fluorescence microscopy, capturing cellular structures within their global context in an organoid often remains challenging due to the organoids dense structure and opacity. The development of optical clearing methods has provided a solution for fixed organoids but optimizing clearing protocols for a given sample type and staining can be challenging. Importantly, quantitative measures for assessing image quality throughout cleared fluorescent samples are missing. Here, we propose Fourier ring correlation quality estimation (FRC-QE) as a new metric for automated 3D image quality estimation in cleared organoids. We show that FRC-QE robustly captures differences in clearing efficiency within an organoid, across replicates and clearing protocols, as well as for different microscopy modalities. FRC-QE is open-source, written in ImgLib2 and provided as an easy-to-use and macro-scriptable plugin for the popular Fiji software. We therefore envision FRC-QE to fill the gap of providing a reliable quality metric for testing, optimizing and comparing optical clearing methods.

bioinformatics↗