{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Campioni G"],"funding":["H2020"],"pagination":["866"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8909358"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(5)"],"pubmed_abstract":["Three-dimensional cancer models, such as spheroids, are increasingly being used to study cancer metabolism because they can better recapitulate the molecular and physiological aspects of the tumor architecture than conventional monolayer cultures. Although Agilent Seahorse XFe96 (Agilent Technologies, Santa Clara, CA, United States) is a valuable technology for studying metabolic alterations occurring in cancer cells, its application to three-dimensional cultures is still poorly optimized. We present a reliable and reproducible workflow for the Seahorse metabolic analysis of three-dimensional cultures. An optimized protocol enables the formation of spheroids highly regular in shape and homogenous in size, reducing variability in metabolic parameters among the experimental replicates, both "],"journal":["Cells"],"pubmed_title":["An Optimized Workflow for the Analysis of Metabolic Fluxes in Cancer Spheroids Using Seahorse Technology."],"pmcid":["PMC8909358"],"funding_grant_id":["642691","871277"],"pubmed_authors":["Vanoni M","Pasquale V","Campioni G","Busti S","Sacco E","Ducci G"],"additional_accession":[]},"is_claimable":false,"name":"An Optimized Workflow for the Analysis of Metabolic Fluxes in Cancer Spheroids Using Seahorse Technology.","description":"Three-dimensional cancer models, such as spheroids, are increasingly being used to study cancer metabolism because they can better recapitulate the molecular and physiological aspects of the tumor architecture than conventional monolayer cultures. Although Agilent Seahorse XFe96 (Agilent Technologies, Santa Clara, CA, United States) is a valuable technology for studying metabolic alterations occurring in cancer cells, its application to three-dimensional cultures is still poorly optimized. We present a reliable and reproducible workflow for the Seahorse metabolic analysis of three-dimensional cultures. An optimized protocol enables the formation of spheroids highly regular in shape and homogenous in size, reducing variability in metabolic parameters among the experimental replicates, both ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2026-06-18T03:17:16.439Z","creation":"2024-11-14T08:14:12.377Z"},"accession":"S-EPMC8909358","cross_references":{"pubmed":["35269488"],"doi":["10.3390/cells11050866"]}}