| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Lin, Lin Yu, Quan Zheng, Jiaxin Cai, Zonglong Tian, Ruijun |
| Abstract | Background Urine has evolved as a promising body fluids in clinical proteomics because it can be easily and noninvasively obtained and can reflect physiological and pathological status of the human body. Many efforts have been made to characterize more urinary proteins in recent years, but few have focused on the analysis throughput and detection reproducibility. Increasing the urine proteomic profiling throughput and reproducibility is urgently needed for discovering potential biomarker in large cohorts. Methods In this study, we developed a fast and robust workflow for streamlined urinary proteome analysis. The workflow integrate highly efficient sample preparation technique and urinary specific data-independent acquisition (DIA) approach. The performance of the workflow was systematically evaluated and the workflow was subsequently applied in a proof-of-concept urine proteome study of 21 kidney cancer (KC) patients and 22 healthy controls. Results With this workflow, the entire sample preparation process takes less than 3 h and allows multiplexing on standard centrifuges. Without pre-fractionation, our newly developed DIA method allows quantitative analysis ofโ~โ1000 proteins within 80 min of MS time (~โ15 samples/day). The quantitation accuracy of the whole workflow was excellent with median CV of 9.1%. The preliminary study on KC identified 125 significantly changed proteins. Conclusions The result suggested the feasibility of applying the high throughput workflow in extensive urinary proteome profiling and clinical relevant biomarker discovery. |
| Related Links | https://clinicalproteomicsjournal.biomedcentral.com/counter/pdf/10.1186/s12014-018-9220-2.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 15590275 |
| DOI | 10.1186/s12014-018-9220-2 |
| Journal | Clinical Proteomics |
| Issue Number | 1 |
| Volume Number | 15 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2018-12-22 |
| Access Restriction | Open |
| Subject Keyword | Cell Biology Pathology Biotechnology Proteomics Urine Proteome profiling Data independent acquisition Biomarker discovery |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biotechnology Biochemistry (medical) |
| Journal Impact Factor | 2.8/2023 |
| 5-Year Journal Impact Factor | 3.9/2023 |
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