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Sample collection can significantly affect measurements of relative lipid concentrations in cell line panels, hiding intrinsic biological properties of interest between cell lines. Most quality control steps in lipidomic data analysis focus on controlling technical variation. Correcting for the t...

2025-08-07 | MTBLS9493 | MetaboLights
Breast tumors are characterized into different subtypes based on their surface marker expression, which affects their prognosis and treatment. For example, triple negative breast cancer cells (ER-/PR-/Her2-) show reduced susceptibility towards radiotherapy and chemotherapeutic agents. Poly (ADP-ribo...
2016-11-07 | MTBLS337 | MetaboLights

Breast cancer metastasis occurs via blood and lymphatic vessels. Breast cancer cells 'educate' lymphatic endothelial cells (LECs) to support tumor vascularization and growth. However, despite known metabolic alterations in breast cancer, it remains unclear how lymphatic endothelial cell metabolis...

2024-06-25 | MTBLS859 | MetaboLights
Poly (ADP-ribose) polymerase inhibitors (PARPi) are widely used as targeted therapies against breast cancers with BRCA mutations. However, the development of resistance to PARPi poses a significant challenge for long-term efficacy of these therapies, warranting further understanding of mechanisms of...
2026-05-11 | MTBLS12109 | MetaboLights
MS and NMR are two of the most powerful spectroscopic techniques used in the field of fluxomics, to analyze the flux distributions in cellular metabolomic pathways. Both of them possess pros and cons, such as, MS being the most sensitive and low-cost technique, while needs extensive sample processin...
2018-05-02 | MTBLS241 | MetaboLights
MS and NMR are two of the most powerful spectroscopic techniques used in the field of fluxomics, to analyze the flux distributions in cellular metabolomic pathways. Both of them possess pros and cons, such as, MS being the most sensitive and low-cost technique, while needs extensive sample processin...
2018-05-02 | MTBLS182 | MetaboLights
This study aims to establish a comprehensive, genome-scale metabolic model (GSMM) combining different omics data of different regulatory levels of breast cancer cells in order to elucidate the way that these regulatory levels affect or determine each other. Together with transcriptomics, proteomics ...
2021-01-18 | MTBLS183 | MetaboLights
BACKGROUND: Ductal carcinoma in situ (DCIS) is the earliest stage of breast cancer. During DCIS, tumor cells remain inside the mammary duct, growing under a microenvironment characterized by hypoxia, nutrient starvation, and waste product accumulation; this harsh microenvironment promotes genomic in...
2019-02-08 | MTBLS669 | MetaboLights
Cancer cells are known to reprogram their metabolism to adapt to adverse conditions dictated by tumor growth and microenvironment. A subtype of cancer cells with stem-like properties, known as cancer stem cells (CSC), is thought to be responsible for tumor recurrence. In this study, we demonstrated ...
2019-08-19 | MTBLS678 | MetaboLights
Neuropeptide Y (NPY) and its Y2 receptors (Y2R) play an important role in regulating growth of various tumors and are highly expressed in human neuroblastoma brain tumors. Cell lines derived from neuroblastoma brain tumors provide a good model to study the consequences of NPY activation of Y2R in tu...
2014-10-01 | MTBLS104 | MetaboLights
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