Proteomics

Dataset Information

0

In-depth proteome profiling of kidney in 5/6 Nephrectomy rat model


ABSTRACT: Chronic kidney disease (CKD) is characterized by a slow and gradual loss of kidney function, with glomerular filtration loss over months or years, inevitably leading to end-stage renal disease. The renal failure resulting from this irreversible process derives from fibrotic lesions of each compartment of the kidney; glomerulosclerosis, vascular sclerosis, and tubulointerstitial fibrosis. Here, we aimed to specify CKD-related injury markers through proteomics analysis in animal kidney tissues.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Kidney

DISEASE(S): Chronic Kidney Disease

SUBMITTER: Dohyun Han  

LAB HEAD: Dohyun Han

PROVIDER: PXD016447 | Pride | 2021-01-19

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20190805_CKD_RAT_KIDNEY_LIB_F1.raw Raw
20190805_CKD_RAT_KIDNEY_LIB_F10.raw Raw
20190805_CKD_RAT_KIDNEY_LIB_F11.raw Raw
20190805_CKD_RAT_KIDNEY_LIB_F12.raw Raw
20190805_CKD_RAT_KIDNEY_LIB_F13.raw Raw
Items per page:
1 - 5 of 56
altmetric image

Publications

Multisample Mass Spectrometry-Based Approach for Discovering Injury Markers in Chronic Kidney Disease.

Kim Ji Eun JE   Han Dohyun D   Jeong Jin Seon JS   Moon Jong Joo JJ   Moon Hyun Kyung HK   Lee Sunhwa S   Kim Yong Chul YC   Yoo Kyung Don KD   Lee Jae Wook JW   Kim Dong Ki DK   Kwon Young Joo YJ   Kim Yon Su YS   Yang Seung Hee SH  

Molecular & cellular proteomics : MCP 20210113


Urinary proteomics studies have primarily focused on identifying markers of chronic kidney disease (CKD) progression. Here, we aimed to determine urinary markers of CKD renal parenchymal injury through proteomics analysis in animal kidney tissues and cells and in the urine of patients with CKD. Label-free quantitative proteomics analysis based on liquid chromatography-tandem mass spectrometry was performed on urine samples obtained from 6 normal controls and 9, 11, and 10 patients with CKD stage  ...[more]

Similar Datasets

2021-01-19 | PXD019678 | Pride
2015-08-16 | E-GEOD-66494 | biostudies-arrayexpress
2022-05-20 | PXD030696 | Pride
2024-11-06 | PXD015297 | Pride
2024-02-05 | GSE241502 | GEO
2024-05-19 | GSE267765 | GEO
2024-02-05 | GSE241503 | GEO
2020-01-31 | GSE137086 | GEO
2022-10-24 | GSE137570 | GEO
2010-04-13 | E-GEOD-12682 | biostudies-arrayexpress