Project Details
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Molecular mechanisms of mechanotransduction during tumor progression

Subject Area Cell Biology
General Genetics and Functional Genome Biology
Term from 2014 to 2018
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 253567115
 
Final Report Year 2019

Final Report Abstract

In conclusion, our transcriptome profiling produced a comprehensive and reliable dataset providing a foundation for the identification of novel tumor-promoting and -suppressing genes. Their functional characterization may guide identification of novel cancer biomarkers and development of therapeutic interventions targeting tumors and/or associated immune cells. The methodology describing the generation of genetically defined and visually marked clones in Drosophila EADs, including the protocols for the dissection and imaging of Drosophila larval EADs, quantification of tumor invasiveness and RNA isolation from dissected tissue suitable for downstream applications such as qRT-PCR and mRNA-seq profiling has been published. The protocols accompanied by videos provide guidelines on how to create, handle and analyze Drosophila epithelial tumors to achieve reproducible and robust results. Moreover, the article has been aimed to support teaching, guiding undergraduate and graduate students during practical courses that utilize the Drosophila model. Within this project, the following state-of-the-art methodological approaches have been established with help of national and international collaborations and pursued in the laboratory: 1) Protocols for the comparative gene expression and TF motif analyses based on mRNA-seq and ChIP-seq in collaboration with Bioinformatics facility (CECAD, Cologne) and Bianca Habermann (Institut de Biologie du Developpement de Marseille, France). 2) Protocols for affinity purification of proteins from Drosophila tissues followed by comparative proteomics in collaboration with Hendrik Nolte (CECAD, Cologne) and Proteomic facility (CECAD, Cologne). 3) Protocol for Fluorescence-activated cell sorting (FACS) of various live cell populations labeled with transgenic fluorescent proteins in collaboration with Kat Folz-Donahue (The FACS & Imaging Core Facility, MPI-Age, Cologne) followed by mRNA isolation and transcriptome analysis.

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