Dataset Information

ITRAQ-based quantitative proteomic analysis of membrane and nuclear fractions of glioma (WHO grade II, III and IV) tissues to map on Chromosome 12 and identification of mass spectrometry evidence for 'missing proteins'

ABSTRACT: Glioma tumors arise from normal glial cells (astrocytes). Gliomas are morphologically and clinically classified into four malignancy grades as Grade I, II, III and IV. Grade I and II comprise low grade gliomas that grow slowly, are well differentiated and have a better prognosis and survival compared to grades III and IV. In contrast, grade III-IV lack endothelial proliferation and are highly vascular with a tendency to infiltrate and have areas of extensive necrosis and hypoxia. 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 membrane and nuclear proteins mapping to Chromosome 12 from three different grades of astrocytoma tumors (WHO Grade II, III and IV) compared to control.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Brain

DISEASE(S): Brain Glioma

SUBMITTER: Ravi Sirdeshmukh

LAB HEAD: Dr. Ravi Sirdeshmukh

PROVIDER: PXD000848 | Pride | 2019-06-04

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	GliomaGrIII_membrane.pep.xml	Pepxml
	GliomaGrIII_membrane.prot.xml	Xml
	GliomaGrIII_membrane_Chr12.mzData	Other
	GliomaGrIII_membrane_Chr12.mzML	Mzml
	GliomaGrII_membrane.pep.xml	Pepxml

Items per page:

1 - 5 of 15

Publications

Chromosome-centric human proteome project: deciphering proteins associated with glioma and neurodegenerative disorders on chromosome 12.

Gupta Manoj Kumar MK Jayaram Savita S Madugundu Anil K AK Chavan Sandip S Advani Jayshree J Pandey Akhilesh A Thongboonkerd Visith V Sirdeshmukh Ravi R

Journal of proteome research 20140624 7

In line with the aims of the Chromosome-centric Human Proteome Project (C-HPP) to completely annotate proteins of each chromosome and biology/disease driven HPP (B/D-HPP) to decipher their relation to diseases, we have generated a nonredundant catalogue of protein-coding genes for Chromosome 12 (Chr. 12) and further annotated proteins associated with major neurological disorders. Integrating high level proteomic evidence from four major databases (neXtProt, Global Proteome Machine (GPMdb), Pepti ...[more]

PMID: 24804578

Similar Datasets

Project description:Diffuse infiltrating gliomas are the most common primary brain malignancy found in adults, and Glioblastoma multiforme, the highest grade glioma, is associated with a median survival of 7 months. Transcriptional profiling has been applied to 85 gliomas from 74 patients to elucidate glioma biology, prognosticate survival, and define tumor sub-classes. These studies reveal that transcriptional profiling of gliomas is more accurate at predicting survival than traditional pathologic grading, and that gliomas characteristically express coordinately regulated genes of one of four molecular signatures: neurogenesis, synaptic transmission, mitotic, or extra-cellular matrix. Elucidation of these survival associated molecular signatures will aid in tumor prognostication and define targets for future directed therapy. Evaluate a large number of diffuse infiltrating gliomas through transcriptional profiling. Glioma tumor sub-classes may be identified through large scale gene expression studies. All patients undergoing surgical treatment at the University of California, Los Angeles for primary brain cancers between 1996 and 2003 were invited to participate in this Institutional Review Board approved study. 74 of the patients participating in this broad protocol were analyzed as part of this study if their initial tumor was diagnosed as a grade III (n=24) or IV (n=50) glioma of any histologic type on initial surgical treatment and fresh frozen material was obtained. Only grade III and IV gliomas were included in this study as the distinction between these grades is subtle and prone to misclassification. The time in days elapsed from resection to the day of death, or if the patient has remained alive, to the current day was recorded for all samples studied. Patient ages at diagnosis varied from 18 to 82 years. There were 46 females and 28 males. Probes were prepared using standard Affymetrix protocols, and hybridized to Affymetrix HG-U133A and HG-U133B arrays.