PXD014111 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | iTRAQ-based quantitative proteomic analysis of nuclear fractions of glioma (WHO grade II, III and IV) tissues to identify altered transcriptional regulatory proteins |
Description | 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 online liquid chromatography and high resolution tandem mass spectrometry (LC-MS/MS) to identify differential nuclear proteins enriched with transcriptional regulatory function from three different grades of astrocytoma tumors (WHO Grade II, III and IV) compared to control. |
HostingRepository | PRIDE |
AnnounceDate | 2019-08-06 |
AnnouncementXML | Submission_2019-08-06_02:46:52.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Ravi Sirdeshmukh |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | iTRAQ4plex-116 reporter+balance reagent acylated residue; methylthiolated residue; monohydroxylated residue |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-06-04 01:39:53 | ID requested | |
⏵ 1 | 2019-08-06 02:46:53 | announced | |
Publication List
Gupta MK, Polisetty RV, Sharma R, Ganesh RA, Gowda H, Purohit AK, Ankathi P, Prasad K, Mariswamappa K, Lakshmikantha A, Uppin MS, Sundaram C, Gautam P, Sirdeshmukh R, Altered transcriptional regulatory proteins in glioblastoma and YBX1 as a potential regulator of tumor invasion. Sci Rep, 9(1):10986(2019) [pubmed] |
Keyword List
submitter keyword: Glioma, diffused astrocytoma, anaplastic astrocytoma, Glioblastoma, sub cellular fractionation, nuclear proteins, iTRAQ, transcription factor, transcription regulatory proteins |
Contact List
Dr. Ravi Sirdeshmukh |
contact affiliation | Institute of Bioinformatics, Bangalore - 560066, India |
contact email | ravisirdeshmukh@gmail.com |
lab head | |
Ravi Sirdeshmukh |
contact affiliation | Institute of Bioinformatics |
contact email | ravisirdeshmukh@gmail.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2019/08/PXD014111 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD014111
- Label: PRIDE project
- Name: iTRAQ-based quantitative proteomic analysis of nuclear fractions of glioma (WHO grade II, III and IV) tissues to identify altered transcriptional regulatory proteins