Proteomics

Dataset Information

0

Proteomic analysis of urine and stone matrix of patients with kidney calculi


ABSTRACT: Proteins have been extracted from kidney calculi with SDS buffer. Proteins were seperated by 1D-SDS-PAGE and stained with coomassie. Each gel lane was cut into 5 (or 6) pieces. Proteins were digested in gel with trypsin. Tryptic peptides were analysed by nanoLC-MS/MS on an ion trap instrument (6340 Ion Trap, Agilent) with CID. Peak lists were generated with Mascot Distiller, and database searching was performed with Mascot. The data from 5 (or 6) LC-MS/MS runs from one patient ware merged into one mgf file, which was searched against IPI (human) database.

INSTRUMENT(S): 1200 series LC/MSD SL

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine, Kidney

SUBMITTER: Andreas Schlosser  

LAB HEAD: Andreas Schlosser

PROVIDER: PXD000302 | Pride | 2016-07-11

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
HCB1.mgf Mgf
HCB1raw.zip Other
HCB2.mgf Mgf
HCB2raw.zip Other
HCB3.mgf Mgf
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Publications

Inflammatory and fibrotic proteins proteomically identified as key protein constituents in urine and stone matrix of patients with kidney calculi.

Boonla Chanchai C   Tosukhowong Piyaratana P   Spittau Björn B   Schlosser Andreas A   Pimratana Chaowat C   Krieglstein Kerstin K  

Clinica chimica acta; international journal of clinical chemistry 20131209


To uncover whether urinary proteins are incorporated into stones, the proteomic profiles of kidney stones and urine collected from the same patients have to be explored. We employed 1D-PAGE and nanoHPLC-ESI-MS/MS to analyze the proteomes of kidney stone matrix (n=16), nephrolithiatic urine (n=14) and healthy urine (n=3). We identified 62, 66 and 22 proteins in stone matrix, nephrolithiatic urine and healthy urine, respectively. Inflammation- and fibrosis-associated proteins were frequently detec  ...[more]

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