The Human Urinary Proteome Fingerprint Database UPdb.

Area of Science:

• Biochemistry
• Proteomics
• Analytical Chemistry

Background:

• Human urine is a valuable, non-invasive diagnostic fluid.
• Lack of standardized, comparable datasets hinders urinary biomarker discovery.
• Existing datasets are fragmented, limiting comprehensive analysis.

Purpose of the Study:

• To establish a comprehensive human urinary proteomic fingerprint database.
• To address the need for comparable datasets in urinary biomarker research.
• To create a global resource for sharing mass spectrometry data in urinary studies.

Main Methods:

• Urine samples from 200 individuals were analyzed using SELDI-TOF MS.
• Multiple chip surfaces (SEND, HP50, NP20, Q10, CM10, IMAC30) were employed for broad coverage.
• Data integration with external studies using CE-MS and MALDI-based techniques.

Main Results:

• The database contains 2490 unique peaks/ion species from 1172 SELDI-TOF MS analyses.
• Data covers a mass range of 1500 to 150000 Da.
• 1384 additional peaks were incorporated from capillary electrophoresis-MS and MALDI-based methods.

Conclusions:

• The established database provides a crucial resource for urinary biomarker discovery.
• Standardized data sharing via this platform will advance proteomic research in urine.
• This initiative promotes collaborative research and data exchange in the field.