Project description:Lipidomic LC/MS of neurons and lipid droplets isolated from mouse. Extracted using MTBE and run on an Agilent 1290 Infinity II LC with MS acquisition on an Agilent QToF 6546.
Project description:Breast cancer is a major cause of cancer-associated mortality in females. Although therapeutic strategies targeting subtype-specific receptors have been developed for various breast cancer subtypes, effective targeted therapies for triple-negative breast cancer (TNBC) are lacking. Recently, the role of the tumor microenvironment (TME), particularly cancer-associated fibroblasts (CAFs), in the progression and metastasis of breast cancer, especially TNBC, has attracted increasing attention. However, the role of exosomes secreted by CAFs in TNBC cell proliferation is poorly understood. Thus, in this study, we analyzed exosomes derived from both CAFs and MDA-MB-231 cells and identified exosomal miR-1290 as a key component. When delivered to TNBC cells (BT-549 and Hs578T), exosomal miR-1290 directly suppressed the expression of the putative tumor suppressor TBC1D4, which was accompanied by reduced TSC1 expression and activation of the mTOR pathway. The promotion of TNBC cell growth by miR-1290 through direct targeting of TBC1D4 was validated using 2D culture models, 3D spheroid models, and in vivo xenograft models. Furthermore, we demonstrated that treatment with the mTOR inhibitor rapamycin and the FDA-approved rapamycin analog everolimus effectively suppressed miR-1290-induced TNBC cell proliferation, suggesting a potential therapeutic strategy for TNBC. Moreover, in patient cohorts, elevated levels of circulating miR-1290 significantly distinguished patients with breast cancer from healthy individuals and correlated with poor survival outcomes. Therefore, miR-1290 and its direct target TBC1D4 have potential value in both targeted treatment and diagnosis of TNBC.
Project description:Metabolic profiling of serum samples were performed on an Agilent 1290 infinity system (Agilent technologies, Santa-Clara, California, USA) coupled to an AB SCIEX Triple TOF 6600 System (AB SCIEX, Framingham, MA, USA) with an electrospray ion (ESI) source in both positive and negative ion modes. There were 30 differential metabolites under positive ion mode and 23 differential metabolites under negative ion mode, respectively.
Project description:Metastasis accounts for almost 90% of breast cancer-related fatalities, making it frequent malignancy and the main reason of tumor mortality globally among women. A key player in breast cancer is the histone demethylase lysine-specific demethylase 1 (LSD1). We used LSD1 knockdown MCF7 and T47D cell exosomes to treat breast cancer cells for greatly increasing the invasion and migration of breast cancer cells for evaluating the impact of LSD1 on breast cancer invasion and migration. miR-1290 expression was downregulated in LSD1 knockdown MCF7 exosomes. Furthermore, miR-1290 could control NAT1 expression by looking through the database of miR-1290 target genes. These data provide fresh insights into the biology of breast cancer therapy by demonstrating how the epigenetic factor LSD1 stimulates the breast cancer cells’ invasion and migration via controlling exosomal miRNA.
Project description:Comparative genomic hybridization analysis for detection of copy number variation for cancer genes in breast cancer mestastatic brain tumors DNA was isolated and analyzed in a two-color experiment using Cancer CGH+SNP 180Kx4 arrays from Agilent and Agilent SureScan system: Cy5-labeled specimen DNA and Cy3-labeled reference Agilent (female) reference DNA
Project description:Strains Achromobacter insuavis and Enterobacter cancerogenus, as well as their co-culture, were grown in LB medium with/without 100 mg/L Cd²⁺ for 48 h. For label‑free proteomics, cells were lysed in urea/thiourea/CHAPS buffer, homogenized, sonicated, and centrifuged. The protein precipitate was analyzed by LC-MS/MS (Agilent 1290‑TripleTOF 5600).
Project description:Purpose: We generated extensive transcriptional and proteomic profiles from a Her2-driven mouse model of breast cancer that closely recapitulates human breast cancer. This report makes these data publicly available in raw and processed forms, as a resource to the community. Importantly, we previously made biospecimens from this same mouse model freely available through a sample repository, so researchers can obtain samples to test biological hypotheses without the need of breeding animals and collecting biospecimens. Experimental design: Twelve datasets are available, encompassing 841 LC-MS/MS experiments (plasma and tissues) and 255 microarray analyses of multiple tissues (thymus, spleen, liver, blood cells, and breast). Cases and controls were rigorously paired to avoid bias. Results: In total, 18,880 unique peptides were identified (PeptideProphet peptide error rate â¤1%), with 3884 and 1659 non-redundant protein groups identified in plasma and tissue datasets, respectively. Sixty-one of these protein groups overlapped between cancer plasma and cancer tissue. Conclusions and clinical relevance: These data are of use for advancing our understanding of cancer biology, for software and quality control tool development, investigations of analytical variation in MS/MS data, and selection of proteotypic peptides for MRM-MS. The availability of these datasets will contribute positively to clinical proteomics. Custom Agilent 44K whole mouse genome expression oligonucleotide microarrays were used to profile breast tumors from three Her2/Neu mice compared to normal breast epithelium from two control mice transgenic for TetO-NeuNT only and littermates of the bitransgenic mice. All samples were laser-capture microdissected and total RNA isolated and amplified prior to hybridization against a reference pool of normal adult mouse tissues.