2015
DOI: 10.1016/j.transproceed.2014.10.010
|View full text |Cite
|
Sign up to set email alerts
|

Quantitative Proteomic Profiling of Renal Tissue in Human Chronic Rejection Biopsy Samples After Renal Transplantation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(7 citation statements)
references
References 30 publications
0
7
0
Order By: Relevance
“…We compared the differences in the levels of the isolated proteins from ALV-J-infected and mock-infected DF-1 cells by quantitative proteomics. Using a strict cutoff value of 1.5-fold for expressed variation 24 and using the GO function significant sexual enrichment analysis, we found some differentially expressed proteins involved in the MAPK signaling pathway ( Fig. 1 ).…”
Section: Resultsmentioning
confidence: 99%
“…We compared the differences in the levels of the isolated proteins from ALV-J-infected and mock-infected DF-1 cells by quantitative proteomics. Using a strict cutoff value of 1.5-fold for expressed variation 24 and using the GO function significant sexual enrichment analysis, we found some differentially expressed proteins involved in the MAPK signaling pathway ( Fig. 1 ).…”
Section: Resultsmentioning
confidence: 99%
“…ITRAQ labeling was performed using the 8-plex iTRAQ reagents (Applied Biosystems, Foster City, CA, USA) as previously reported [ 49 ]. Then, the labeled samples were lyophilized and assigned to HPLC-MS/MS (high performance liquid chromatography-mass spectrometry/ mass spectrometry) analysis in HPLC electrospray ionization MS/MS system (Applied Biosystems, Foster City, CA, USA).…”
Section: Methodsmentioning
confidence: 99%
“…Two examples of proteomic studies, including renal biopsies of transplanted patients, were conducted by Nakorchevsky et al and Lin et al [ 11 , 41 ]. The former evaluated 33 biopsies from individuals with CR and diverse degrees of IFTA, whereas the latter analyzed 19 biopsies to discriminate between CR and renal adenocarcinoma.…”
Section: Why Proteomics?mentioning
confidence: 99%
“…Nakorchevsky et al [ 11 ] observed 492 unique proteins related to the progression from normal to mild, to moderate, and severe disease, including proteins associated with immune responses, inflammatory cell activation, and apoptosis. Meanwhile, Lin et al [ 41 ] observed that 87 out of 1587 identified proteins were 1.5-fold higher in CR in relation to adenocarcinoma. There are also diverse proteomics studies focusing on urine and plasma/serum proteome to predict kidney function [ 42 ], including in patients with cancer [ 43 , 44 ] and diabetes [ 45 ].…”
Section: Why Proteomics?mentioning
confidence: 99%