ArticleCells2022
An Optimized Workflow for the Analysis of Metabolic Fluxes in Cancer Spheroids Using Seahorse Technology.
Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 28 citations in OpenAlex.
- Protocol for Seahorse 3D Mito Stress assay in patient-derived atypical teratoid rhabdoid tumor CHLA-05-ATRT single neurospheres.STAR protocols · 2026Article
- FGFR3 oncogenic activation drives oxidative metabolic reprogramming in bladder cancer: a systems metabolomics approach.Communications biology · 2026Article
- Measuring Propidium Iodide Brightness as a Function of Viability: A High-Throughput Quantitative Assessment of Hepatic Spheroids.Artificial organs · 2026Article
- Visualization, Data Extraction, and Multiparametric Analysis of 3D Pancreatic and Colorectal Cancer Cell Lines for High-Throughput Screening.Biomedicines · 2026Article
- An optimized protocol for metabolic measurement in 3D tumor spheroids derived from primary and established glioblastoma cells.PloS one · 2026Article
- Tumor organoids for testing metabolic flexibility in precision oncology.Frontiers in oncology · 2026Review
- Optimizing intervertebral disc cell metabolic phenotyping with machine learning and artificial neural networks.Scientific reports · 2025Article
- Three-Dimensional Tumor Spheroids of Pancreatic and Colorectal Cancer Cell Lines for High-Throughput Screening of Drug Candidates.ACS omega · 2025Article
- Protocol for Seahorse 3D Mito Stress assay in patient-derived pediatric brain tumor single neurospheres.bioRxiv : the preprint server for biology · 2025Article
- Methods and Guidelines for Metabolism Studies: Applications to Cancer Research.International journal of molecular sciences · 2025Review
- Dysregulation of Mitochondrial Function in Cancer Cells.International journal of molecular sciences · 2025Review
- The Use of Patient-Derived Organoids in the Study of Molecular Metabolic Adaptation in Breast Cancer.International journal of molecular sciences · 2024Review
- Review
- Article
- A new advanced cellular model of functional cholinergic-like neurons developed by reprogramming the human SH-SY5Y neuroblastoma cell line.Cell death discovery · 2024Article
- Pharmacological inhibition of CDK4/6 impairs diffuse pleural mesothelioma 3D spheroid growth and reduces viability of cisplatin-resistant cells.Frontiers in oncology · 2024Article
- Sodium acetate increases the productivity of HEK293 cells expressing the ECD-Her1 protein in batch cultures: experimental results and metabolic flux analysis.Frontiers in bioengineering and biotechnology · 2024Article
- Article
- Review
- Cancer 3D Models for Metallodrug Preclinical Testing.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
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 under basal and drug treatment conditions. High-resolution imaging allows the calculation of the number of viable cells in each spheroid, the normalization of metabolic parameters on a per-cell basis, and grouping of the spheroids as a function of their size. Multivariate statistical tests on metabolic parameters determined by the Mito Stress test on two breast cancer cell lines show that metabolic differences among the studied spheroids are mostly related to the cell line rather than to the size of the spheroid. The optimized workflow allows high-resolution metabolic characterization of three-dimensional cultures, their comparison with monolayer cultures, and may aid in the design and interpretation of (multi)drug protocols.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.