Titlebook: Cancer Cell Dormancy; Methods and Protocol Marco Montagner Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive licen

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Antonio Celesti,Philipp Leitner tumor cells survive and transition to a proliferative state to generate a metastatic lesion. On the other hand, metabolic rewiring has been shown to influence metastasis development through the modulation of both intracellular signaling and the crosstalk between metastatic cells and their microenvi

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https://doi.org/10.1007/978-3-030-00232-9High-throughput transcriptome RNA sequencing is a powerful tool for understanding dynamic biological processes. Here, we present a computational framework, implemented in an R package QDSWorkflow, to characterize heterogeneous cellular dormancy depth using RNA-sequencing data from bulk samples and single cells.

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Modeling the Depth of Cellular Dormancy from RNA-Sequencing Data,High-throughput transcriptome RNA sequencing is a powerful tool for understanding dynamic biological processes. Here, we present a computational framework, implemented in an R package QDSWorkflow, to characterize heterogeneous cellular dormancy depth using RNA-sequencing data from bulk samples and single cells.

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Christian Thormann,Alexander Winklerr dormant behavior (D2.0R, MCF7) or transient dormant metastatic behavior (D2A1) at a metastatic secondary site. Additionally, we present an in vitro and complementary in vivo system to study the switch from dormancy to metastatic growth driven by a fibrotic-like milieu enriched with the deposition of type I collagen.

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Advances in Service and Industrial Roboticschniques. This manuscript describes the basic techniques for generating bone marrow stromal monolayers, co-incubating cancer cells and determining the effects on cancer cell proliferation and molecular signaling.