Dataset Information

Proteomic analysis of glutamine deprivation in HepG2 cells

ABSTRACT: We applied the quantitative proteomics approach to estimate the relative abundance of proteins in HepG2 cells treated by glutamine deprivation. Two independent cultured cell lysates, namely control and glutamine deprivation, were marked with iTRAQ labels and subjected to LC-ESI-MS/MS analysis. The tryptic peptides of two samples were labeled with mass 113 (control) and 119 (glutamine deprivation) isobaric iTRAQ tags.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Hepatocyte, Hepg2 Cell

DISEASE(S): Hepatocellular Carcinoma

SUBMITTER: Baisheng Long

LAB HEAD: Xianghua Yan

PROVIDER: PXD003387 | Pride | 2016-02-09

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 22

Publications

Quantitative proteomics analysis reveals glutamine deprivation activates fatty acid β-oxidation pathway in HepG2 cells.

Long Baisheng B Muhamad Rodiallah R Yan Guokai G Yu Jie J Fan Qiwen Q Wang Zhichang Z Li Xiuzhi X Purnomoadi Agung A Achmadi Joelal J Yan Xianghua X

Amino acids 20160202 5

Glutamine, a multifunctional amino acid, functions in nutrient metabolism, energy balance, apoptosis, and cell proliferation. Lipid is an important nutrient and controls a broad range of physiological processes. Previous studies have demonstrated that glutamine can affect lipolysis and lipogenesis, but the effect of glutamine on the detailed lipid metabolism remains incompletely understood. Here, we applied the quantitative proteomics approach to estimate the relative abundance of proteins in He ...[more]

PMID: 26837383

Similar Datasets

Project description:Following androgen ablation therapy (AAT), the vast majority of prostate cancer patients develop treatment resistance with a median time of 18-24 months to disease progression. To identify molecular targets that aid in prostate cancer cell survival and contribute to the androgen independent phenotype, we evaluated changes in LNCaP cell gene expression during 12 months of androgen deprivation. At time points reflecting critical growth and phenotypic changes, we performed Affymetrix expression array analysis to examine the effects of androgen deprivation during the acute response, during the period of apparent quiescence, and during the emergence of highly proliferative, androgen-independent prostate cancer cells (LNCaP-AI). We discovered alterations in gene expression for a host of molecules associated with promoting prostate cancer cell growth and survival, regulating cell cycle progression, apoptosis and adrenal androgen metabolism, in addition to AR co-regulators and markers of neuroendocrine disease. These findings illustrate the complexity and unpredictable nature of cancer cell biology and contribute greatly to our understanding of how prostate cancer cells likely survive AAT. The value of this longitudinal approach lies in the ability to examine gene expression changes throughout the cellular response to androgen deprivation; it provides a more dynamic illustration of those genes which contribute to disease progression in addition to specific genes which constitute a malignant androgen-independent phenotype. In conclusion, it is of great importance that we employ new approaches, such as the one proposed here, to continue exploring the cellular mechanisms of therapy resistance and identify promising targets to improve cancer therapeutics. Experiment Overall Design: To identify molecular targets that aid in prostate cancer cell survival and contribute to the androgen independent phenotype, we evaluated changes in LNCaP cell gene expression during 12 months of androgen deprivation. At time points reflecting critical growth and phenotypic changes, we performed Affymetrix expression array analysis to examine the effects of androgen deprivation during the acute response, during the period of apparent quiescence, and during the emergence of highly proliferative, androgen-independent prostate cancer cells (LNCaP-AI).

			Action	DRS
	P130715_SCX_1-20.mgf	Mgf
	P130715_SCX_1.raw	Raw
	P130715_SCX_10.raw	Raw
	P130715_SCX_11.raw	Raw
	P130715_SCX_12.raw	Raw