scholarly journals The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Shilin Zhao ◽  
Rongxia Li ◽  
Xiaofan Cai ◽  
Wanjia Chen ◽  
Qingrun Li ◽  
...  
Keyword(s):  
Human Serum ◽  
Human Body ◽  
Body Fluid ◽  
Biomarker Discovery ◽  
Internal Standard ◽  
Complement C3 ◽  
Mouse Serum ◽  
Protein Patterns ◽  
Human Body Fluid ◽  
Serum And Urine

Body fluid proteome is the most informative proteome from a medical viewpoint. But the lack of accurate quantitation method for complicated body fluid limited its application in disease research and biomarker discovery. To address this problem, we introduced a novel strategy, in which SILAC-labeled mouse serum was used as internal standard for human serum and urine proteome analysis. The SILAC-labeled mouse serum was mixed with human serum and urine, and multidimensional separation coupled with tandem mass spectrometry (IEF-LC-MS/MS) analysis was performed. The shared peptides between two species were quantified by their SILAC pairs, and the human-only peptides were quantified by mouse peptides with coelution. The comparison for the results from two replicate experiments indicated the high repeatability of our strategy. Then the urine from Immunoglobulin A nephropathy patients treated and untreated was compared by this quantitation strategy. Fifty-three peptides were found to be significantly changed between two groups, including both known diagnostic markers for IgAN and novel candidates, such as Complement C3, Albumin, VDBP, ApoA,1 and IGFBP7. In conclusion, we have developed a practical and accurate quantitation strategy for comparison of complicated human body fluid proteome. The results from such strategy could provide potential disease-related biomarkers for evaluation of treatment.

scholarly journals An ultrasensitive colorimetric and fluorescence dual-readout assay for glutathione with a carbon dot–MnO2 nanosheet platform based on the inner filter effect

RSC Advances ◽  
2021 ◽  
Vol 11 (34) ◽  
pp. 21137-21144
Author(s):  
Mengyuan He ◽  
Ning Shang ◽  
Bo Zheng ◽  
Gege Yue
Keyword(s):  
Human Body ◽  
Body Fluid ◽  
Inner Filter Effect ◽  
Carbon Dot ◽  
Filter Effect ◽  
Human Body Fluid ◽  
Mno2 Nanosheet

An ultrasensitive colorimetric and fluorescence dual-readout assay based on carbon dot–MnO2 nanosheets platform was developed for GSH detection in human body fluid samples.

scholarly journals Human body-fluid proteome: quantitative profiling and computational prediction

2020 ◽  
Author(s):  
Lan Huang ◽  
Dan Shao ◽  
Yan Wang ◽  
Xueteng Cui ◽  
Yufei Li ◽  
...  
Keyword(s):  
High Throughput ◽  
Human Body ◽  
Body Fluid ◽  
Biomarker Discovery ◽  
Interaction Network ◽  
Computational Prediction ◽  
Computational Effort ◽  
The Body ◽  
Support Vector ◽  
Learning Approaches

Abstract Empowered by the advancement of high-throughput bio technologies, recent research on body-fluid proteomes has led to the discoveries of numerous novel disease biomarkers and therapeutic drugs. In the meantime, a tremendous progress in disclosing the body-fluid proteomes was made, resulting in a collection of over 15 000 different proteins detected in major human body fluids. However, common challenges remain with current proteomics technologies about how to effectively handle the large variety of protein modifications in those fluids. To this end, computational effort utilizing statistical and machine-learning approaches has shown early successes in identifying biomarker proteins in specific human diseases. In this article, we first summarized the experimental progresses using a combination of conventional and high-throughput technologies, along with the major discoveries, and focused on current research status of 16 types of body-fluid proteins. Next, the emerging computational work on protein prediction based on support vector machine, ranking algorithm, and protein–protein interaction network were also surveyed, followed by algorithm and application discussion. At last, we discuss additional critical concerns about these topics and close the review by providing future perspectives especially toward the realization of clinical disease biomarker discovery.

scholarly journals Sys-BodyFluid: a systematical database for human body fluid proteome research

2009 ◽  
Vol 37 (Database) ◽  
pp. D907-D912 ◽  
Author(s):  
S.-J. Li ◽  
M. Peng ◽  
H. Li ◽  
B.-S. Liu ◽  
C. Wang ◽  
...  
Keyword(s):  
Human Body ◽  
Body Fluid ◽  
Human Body Fluid
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