Search

Over the last two decades, major advances in the field of tumor dormancy have been made. Yet, it is not completely understood how dormant disseminated 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 microenvironment. Thus, studying the metabolic features of dormant disseminated tumor cells has gained importance in understanding the dormancy process. Here, we describe a method to perform metabolomics and 13 C tracer analysis in 3D cultures of dormant breast cancer cells., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Metastasis formation is the leading cause of death in cancer patients. It has recently emerged that cancer cells adapt their metabolism to successfully transition through the metastatic cascade. Consequently, measuring and analyzing the in vivo metabolism of metastases has the potential to reveal novel treatment strategies to prevent metastasis formation. Here, we describe two different metastasis mouse models and how their metabolism can be analyzed with metabolomics and 13 C tracer analysis.

Metabolomics and 13 C tracer analysis are state-of-the-art techniques that allow determining the concentration of metabolites and the activity of metabolic pathways, respectively. Three dimensional (3D) cultures of cancer cells constitute an enriched in vitro environment that can be used to assay anchorage-independent growth, spheroid formation, and extracellular matrix production by (cancer) cells. Here, we describe how to perform metabolomics and 13 C tracer analysis in 3D cultures of cancer cells.

Immune cell function is tightly regulated by cellular metabolism, which in turn is strongly linked to the nutrient availability in the microenvironment surrounding the cells. This link is critical for effector CD8 + T cells which, after activation, must migrate from nutrient-rich environments into nutrient-scarce regions such as the tumor microenvironment. Assessing how nutrient availability modulates the metabolism of effector CD8 + T cells is thus key for understanding how harsh environments may impair their proliferation and effector function. Here, we describe an approach to systematically study the impact of the nutrient microenvironment on the metabolism of effector CD8 + T cells, based on performing stable 13 C isotope labeling measurements on in vitro-differentiated murine effector CD8 + T cells.

Blood vessels are lined by a streamlined monolayer of quiescent endothelial cells (ECs). Although these cells can remain quiescent for years, different stimuli (ischemia, inflammation) and growth factors can activate them and drive a process of new vessel formation (angiogenesis). Emerging evidence reveals that cellular metabolism is a key determinant of the EC subtype specification. The use of stable isotope tracing and mass spectrometry analysis has been essential for the discovery that fatty acid metabolism contributes to EC proliferation and lymphatic EC differentiation. This chapter describes the methodology for setting up palmitate-based tracer metabolomics and the subsequent liquid chromatography-mass spectrometry (LC-MS)-based analysis. As such, tracer metabolomics can be used: (1) to identify the different metabolic pathways relying on carbons provided by fatty acid oxidation and (2) to quantify the relative contributions of palmitate-derived carbons. We begin by providing a background and general principles regarding the use of stable isotopes to study fatty acid metabolism. We then proceed with detailed procedures for the labeling conditions, sample preparation, and subsequent LC-MS analysis.

Metabolic alterations are a hallmark of cancer. While determining metabolic changes in vitro has delivered valuable insight into the metabolism of cancer cells, it emerges that determining the in vivo metabolism adds an additional layer of information. Here, we therefore describe how to measure the in vivo metabolism of cancer tissue using 13 C glucose infusions in mice.