PXD016127 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Quantitative Proteomic Profiling for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasm using Pancreatic Cyst Fluid |
Description | The increased number of pancreatic cyst lesions (PCLs) have been detected through the development of abdominal imaging techniques, such as computed tomography (CT), magnetic resonance imaging (MRI), and endoscopic ultrasound (EUS). However, accurate classification of cystic lesions is difficult because of the lack of standardized diagnostic methods, and thus potentially unnecessary surgical resection has been performed on pancreatic cyst patients. Among four most common types of cystic lesions of pancreas, intraductal papillary mucinous neoplasms (IPMNs), mucinous cystic neoplasms (MCN), serous cystic neoplasms (SCN), and solid pseudopapillary neoplasms (SPNs), IPMNs, the precursor lesion of pancreatic cancer, have been detected most frequently, and are subdivided into low-grade dysplasia (LGD), high-grade dysplasia (HGD), and invasive IPMN in accordance with their malignancy. To discover the potential biomarkers of the histological grades of IPMN, we investigated pancreatic cyst fluid proteins that are differentially expressed in accordance with the IPMN malignancy by LC-MS/MS analysis. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_05:12:14.967.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Misol Do |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-11-04 03:38:26 | ID requested | |
1 | 2020-09-09 03:27:56 | announced | |
⏵ 2 | 2024-10-22 05:12:15 | announced | 2024-10-22: Updated project metadata. |
Publication List
Keyword List
submitter keyword: mucinous cystic neoplasm (MCN),pancreatic cyst fluid, biomarkers, intraductal papillary mucinous neoplasm (IPMN), serous cystic neoplasm (SCN), LC-MS/MS |
Contact List
Youngsoo Kim |
contact affiliation | Joint faculty of Department of Biomedical Sciences & Biomedical Engineering, Seoul National University College of Medicine, 103 Daehak0ro, Seoul, Korea |
contact email | biolab@snu.ac.kr |
lab head | |
Misol Do |
contact affiliation | Seoul National University College of Medicine |
contact email | jm97129@naver.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/2020/09/PXD016127 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD016127
- Label: PRIDE project
- Name: Quantitative Proteomic Profiling for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasm using Pancreatic Cyst Fluid