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A nano sheath-flow capillary electrophoresis mass spectrometry (CE-MS) system with electrospray ionization was used to profile cationic metabolite cargo in exosomes secreted by non-tumorigenic MCF-10A and tumorigenic MDA-MB-231 breast epithelial cells. CE-MS-based metabolomics revealed increased ...

2024-11-14 | MTBLS11190 | MetaboLights

Selective autophagy of mitochondria is known to promote survival and progression of cancer cells in various malignancies, including triple-negative breast cancer (TNBC). Here, we investigate the essential metabolic adaptations that support mitochondrial quality control in cancer cells with the ai...

2025-09-30 | MTBLS13037 | 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
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
Metastasis of breast cancer to other distant organs is fatal to patients. However, few studies have revealed biomarkers associated with distant metastatic breast cancer. Furthermore, the inability of current biomarkers such as HER2, ER and PR, in accurately differentiating between distant metastatic...
ORGANISM(S): Homo sapiens (Human) 
2020-06-05 | PXD016061 | Pride
The project analyzed 88 breast cancer clinical samples, including lymph node negative and positive primary tumors, lymph node metastases, and healthy tissue as control. All samples were combined with a super-SILAC mix that served as an internal standard for quantification.
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2016-06-16 | MSV000079830 | MassIVE
Systems-wide profiling of breast cancer has so far built on RNA and DNA analysis by microarray and sequencing techniques. Dramatic developments in proteomic technologies now enable very deep profiling of clinical samples, with high identification and quantification accuracy. We analyzed 40 estrogen ...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2017-03-29 | MSV000080757 | MassIVE
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