Browse
Submit Data
Databases
API
Help

Dataset Information

329 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bile proteomics - Shotgun proteomics of human bile in hilar cholangiocarcinoma

ABSTRACT: GeLC-MS/MS analysis of bile samples from 4 patients (P1-P4) with hilar cholangiocarcinoma

INSTRUMENT(S): QSTAR XL, instrument model

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Bile

DISEASE(S): Cholangiocarcinoma

SUBMITTER: David Perkins

PROVIDER: PRD000362 | Pride | 2012-02-08

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	PRIDE_Exp_Complete_Ac_15872.pride.mgf.gz	Mgf
	PRIDE_Exp_Complete_Ac_15872.pride.mztab.gz	Mztab
	PRIDE_Exp_Complete_Ac_15872.xml.gz	Xml

Items per page:

1 - 3 of 3

Publications

Shotgun proteomics of human bile in hilar cholangiocarcinoma.

Farid Shahid G SG Craven Rachel A RA Peng Jianhe J Bonney Glenn K GK Perkins David N DN Selby Peter J PJ Rajendra Prasad K K Banks Rosamonde E RE

Proteomics 20110418 10

The need to find biomarkers for hepatobiliary diseases including cholangiocarcinoma (CCA) has led to an interest in using bile as a proximal fluid in biomarker discovery experiments, although there are inherent challenges both in its acquisition and analysis. The study described here greatly extends previous studies that have started to characterise the bile proteome. Bile from four patients with hilar CCA was depleted of albumin and immunoglobulin G and analysed by GeLC-MS/MS. The number of pro ...[more]

PMID: 21500345

Similar Datasets

Cholangiocarcinoma tissues VS. corresponding normal bile duct tissues

Project description:To identify miRNAs differentially expressed in cholangiocarcinoma,3 human cholangiocarcinoma and their corresponding normal bile duct tissues were obtained from 3 patients after operation with postoperative pathological diagnosed perihilar or distal biliary cholangiocarcinoma miRNAs expression in human cholangiocarcinoma/normal bile duct samples was measured after operation.Three independent experiments were performed using different patients for each experiment.

2013-06-10 | E-GEOD-47764 | biostudies-arrayexpress

Cholangiocarcinoma tissues VS. corresponding normal bile duct tissues

2013-06-10 | GSE47764 | GEO

Serum exosome miRNA expression profile in patients with cholangiocarcinoma(CCA) and common bile duct stones(CBDS)

Project description:Cholangiocarcinoma (CCA) is a type of highly aggressive cancer arising from the biliary system. Through serum exosome miRNA sequencing, we screened out the differentially expressed miRNA in patients with cholangiocarcinoma(CCA) and common bile duct stones(CBDS).

2022-10-20 | GSE215448 | GEO

Screening and molecular mechanism research on bile microRNAs associated with chemotherapy efficacy in perihilar cholangiocarcinoma

Project description:The efficacy of hepatic arterial infusion chemotherapy (HAIC) with oxaliplatin (OXA) and 5-fluorouracil (5-Fu) for treating advanced perihilar cholangiocarcinoma (pCCA) has been demonstrated, yet the survival benefits of HAIC for pCCA patients vary. Here, we aimed to screen out HAIC resistance-related bile microRNAs (miRNAs) and explore the functions of specific bile miRNAs in pCCA based on high-throughput sequencing. Levels of bile miR-532-3p,miR-1250-5p, and miR-4772-5p were related to the survival of advanced pCCA patients after HAIC. However, only overexpression of miR-532-3p promoted OXA/5-Fu resistance, and downregulation of its expression improved sensitivity to OXA/5-Fu. Mechanistic investigations revealed secreted protein acidic and rich in cysteine (SPARC) as the direct target of miR-532-3p. Our study reveals that bile miR-532-3p, miR-1250-5p, and miR-4772-5p may serve as survival biomarkers in advanced pCCA patients after HAIC and that bile miR-532-3p promotes resistance to HAIC with OXA and 5-Fu via negatively regulating SPARC expression.

2024-11-02 | GSE280797 | GEO

Proteomic analysis of distal cholangiocarcinoma

Project description:Distal cholangiocarcinoma is an aggressive malignancy with a dismal prognosis. There is a lack of diagnostic and prognostic biomarkers. An improved understanding of proteomic changes associated with malignancy and identification of potential biomarkers can help improve the survival of patients. A workflow utilizing discovery mass spectrometry and verification by parallel-reaction monitoring was used to analyze surgically resected formalin-fixed paraffin embedded samples from distal cholangiocarcinoma patients and normal bile ducts in order to identify differentially expressed proteins. 20 tumors and 6 controls were successfully analyzed in the discovery experiment and 16 tumors and 9 controls in the PRM analysis. In the discovery experiment a total of 3057 proteins were identified. 87 proteins were found to be differentially expressed between the conditions (q<0.05 and fold change ≥2 or ≤0.5). 31 proteins were upregulated in the distal cholangiocarcinoma samples as compared to controls and 56 downregulated. Bioinformatic analysis revealed an abundance of the differentially expressed proteins to be associated with the tumor reactive stroma. Parallel-reaction monitoring verified 28 proteins as upregulated and 18 as downregulated. In conclusion several proteins without prior association with cholangiocarcinoma biology were identified and verified as differentially expressed between distal cholangiocarcinoma samples and normal bile ducts. These proteins can be further evaluated to elucidate their biomarker potential and role in distal cholangiocarcinoma carcinogenesis.

2020-09-09 | PXD017906 | Pride

Molecular classification and therapeutic targets in extrahepatic cholangiocarcinoma

Project description:Genome-wide expression analysis of 182 extrahepatic cholangiocarcinoma and 38 non-tumoral bile duct samples as part of a integrated study of gene expression and targeted DNA-sequencing in patients with extrahepatic cholangiocarcinoma We used whole-genome transcriptome to conduct an unsupervised molecular classification of extrahepatic cholangiocarcinoma

2020-03-22 | GSE132305 | GEO

Tumor progression in cholangiocarcinoma

Project description:Purpose: The aim of this study is to investigate mechanisms driving tumor-promoting mechanisms in cholangiocarcinoma while focusing on transitions from normal cholangiocytes to precancer lesions and from precancer lesion to invasive carcinoma. An original mouse model of intrahepatic cholangiocarcinoma was developed, based on induction of a KrasG12D mutation in cholangiocytes combined with chronic inflammation. RNA-Seq analyses compare the transcriptome of ductular proliferations, intraductal papillary neoplasm of the bile duct and intrahepatic cholangiocarcinoma. A gene cascade involving EGF, KrasG12D, Sox17 and Tns4 was identified to promote tumor progression.

2021-03-29 | GSE141511 | GEO

Identification of a novel bile marker Clusterin and a public online prediction platform based on deep learning for Cholangiocarcinoma

Project description:Identification of a novel bile marker Clusterin and a public online prediction platform based on deep learning for Cholangiocarcinoma

2023-07-13 | PXD043745 |

Biomarkers of Cholangiocarcinoma and Pancreatic adenocarcinoma

Project description:Cholangiocarcinoma (CCA) and pancreatic adenocarcinoma (PDAC) may lead to the development of extrahepatic obstructive cholestasis. However, biliary stenoses can also be caused by benign conditions, and the identification of their etiology still remains a clinical challenge. We performed metabolomic and proteomic analyses of bile from patients with benign (n=36) and malignant conditions, CCA (n=36) or PDAC (n=57), undergoing endoscopic retrograde cholangiopancreatography with the aim of characterizing bile composition in biliopancreatic disease and identifying biomarkers for the differential diagnosis of biliary strictures. Comprehensive analyses of lipids, bile acids and small molecules were carried out using mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (1H-NMR) in all patients. MS analysis of bile proteome was performed in five patients per group. We implemented artificial intelligence tools for the selection of biomarkers and algorithms with predictive capacity. Our machine-learning pipeline included the generation of synthetic data with properties of real data, the selection of potential biomarkers (metabolites or proteins) and their analysis with neural networks (NN). Selected biomarkers were then validated with real data. We identified panels of lipids (n=10) and proteins (n=5) that when analyzed with NN algorithms discriminated between patients with and without cancer with an unprecedented accuracy.

2021-09-09 | PXD019924 | Pride

Applications of Next Generation Sequencing in intrahepatic cholangiocarcinoma

Project description:We generated 100 M of high-quality sequencing reads (~10 M per sample) and catalogued the expression profiles of 1643 microRNA in each sample. The analysis showed differences of microRNAs between intrahepatic cholangiocarcinoma and normal bile duct tissues.

2019-12-10 | GSE93366 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data