Dataset Information

Mitochondrial aconitase (ACO2) modulates iron homeostasis and is associated with outcomes in poor prognosis aggressive non-small cell lung cancer

ABSTRACT: NSCLC accounts for 85% of lung cancers, the most frequently diagnosed and leading cause of cancer related death. An ACO2-iron acis regulates intracellular iron and consequently the particularly aggressive phenotype associated with NSCLC engraftment and poor prognosis. These findings suggest that NSCLC stratified by ACO2 protein level may benefit from treatments that target iron homeostasis.

INSTRUMENT(S): LTQ Orbitrap, Q Exactive HF

ORGANISM(S): Homo Sapiens (human) Mus Musculus (mouse)

TISSUE(S): Lung, Epithelial Cell

DISEASE(S): Non-small Cell Lung Carcinoma

SUBMITTER: Shideh Mirhadi

LAB HEAD: Michael F. Moran

PROVIDER: PXD028556 | Pride | 2022-09-19

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	20210302_Lumos_Evo_CDS_MirhadiS_BEAS2B_Fraction1.raw	Raw
	20210302_Lumos_Evo_CDS_MirhadiS_BEAS2B_Fraction10.raw	Raw
	20210302_Lumos_Evo_CDS_MirhadiS_BEAS2B_Fraction11.raw	Raw
	20210302_Lumos_Evo_CDS_MirhadiS_BEAS2B_Fraction12.raw	Raw
	20210302_Lumos_Evo_CDS_MirhadiS_BEAS2B_Fraction13.raw	Raw

Items per page:

1 - 5 of 134

Similar Datasets

Project description:Non-small cell lung cancer (NSCLC) cell lines are widely used model systems to study molecular aspects of lung cancer. Comparative and in-depth proteome expression data across many NSCLC cell lines has not been generated yet, but would be of utility for the investigation of candidate targets and markers in oncogenesis. We employed a SILAC reference approach to perform replicate proteome quantifications across 23 distinct NSCLC cell lines. On average, close to 4000 distinct proteins were identified and quantified per cell line. These included many known targets and diagnostic markers, indicating that our proteome expression data represents a useful resource for NSCLC pre-clinical research. To assess proteome diversity within the NSCLC cell line panel, we performed hierarchical clustering and principal component analysis of proteome expression data. Our results indicate that general proteome diversity among NSCLC cell lines supersedes potential effects common to K-Ras or epidermal growth factor receptor (EGFR) oncoprotein expression. However, we observed partial segregation of EGFR or KRAS mutant cell lines for certain principal components, which reflected biological differences according to gene ontology enrichment analyses. Moreover, statistical analysis revealed several proteins that were significantly overexpressed in KRAS or EGFR mutant cell lines. Biological significance Despite enormous progress in molecular characterization and targeted therapy NSCLC represents a major cause for cancer-related deaths. While pre-clinical models such as NSCLC cell lines have been studied on the genomic and transcriptional level, proteome composition is poorly characterized. We conducted quantitative profiling across 23 NSCLC cell lines and studied global proteome diversity in relation to the presence of oncogenic KRAS or EGFR mutations. Notably, in-depth bioinformatics analysis pointed to prominent biological processes as well as up-regulated proteins in KRAS and EGFR mutant cells, highlighting the utility of cancer cell proteomics to identify target or biomarker candidates in the context of specific oncogenic mechanisms.

Dataset Information

Mitochondrial aconitase (ACO2) modulates iron homeostasis and is associated with outcomes in poor prognosis aggressive non-small cell lung cancer

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets