Proteomics

Dataset Information

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ITRAQ-based quantitative proteomics analysis of human HNSCC cells


ABSTRACT: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer and is major cause of cancer mortality and morbidity. It emerges within oral cavity, lip, tongue, floor of the mouth, nasopharynx, palate, gingival and larynx, is common cancer worldwide especially in Southeast Asia and Southern China. Despite of the advancements in the understanding of the HNSCC as the disease, the 5 year survival rate remains unchanged at 50% since last three decades. Factors such as advanced stage presentation of the patient and consequent delay in diagnosis contributes to the bleak scenario. Thus, therefore there is dire need of useful biomarkers that can predict HNSCC in early stages and can serve as prognostic indicators or targets for treatment. In the present study, We used iTRAQ (isobaric tags for relative and absolute quantitation)-based quantitative proteomic approach followed by liquid chromatography and high resolution tandem mass spectrometry (LC-MS/MS) to identify differential proteins from head and neck cancer cell lines.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture, Keratinocyte

DISEASE(S): Neck Carcinoma

SUBMITTER: Akhilesh Pandey  

LAB HEAD: Akhilesh Pandey

PROVIDER: PXD000737 | Pride | 2015-01-29

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
HNSCC_TP_8plex_iTRAQ_1.raw Raw
HNSCC_TP_8plex_iTRAQ_10.raw Raw
HNSCC_TP_8plex_iTRAQ_11.raw Raw
HNSCC_TP_8plex_iTRAQ_12.raw Raw
HNSCC_TP_8plex_iTRAQ_13.raw Raw
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Publications


Dysregulation of protein expression is associated with most diseases including cancer. MS-based proteomic analysis is widely employed as a tool to study protein dysregulation in cancers. Proteins that are differentially expressed in head and neck squamous cell carcinoma (HNSCC) cell lines compared to the normal oral cell line could serve as biomarkers for patient stratification. To understand the proteomic complexity in HNSCC, we carried out iTRAQ-based MS analysis on a panel of HNSCC cell lines  ...[more]

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