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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Sequential depletion coupled to C18 sequential extraction as a rapid tool for human serum multiple profiling
Carolina Fernández-Costa1, Miguel Reboiro-Jato2, Florentino Fdez-Riverola2
1Servicio de Reumatología, Unidad de Proteómica, ProteoRed/ISCIII, INIBIC-Hospital Universitario A Coruña, As Xubias 84, 15006 A Coruña, Spain.
This study introduces a fast, cost-effective method for human serum profiling using sequential peptide extraction and mass spectrometry. The technique successfully differentiates healthy and non-healthy donors, offering broad applicability for complex biological fluid analysis.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Proteomics
Background:
- Human serum analysis is crucial for disease diagnostics.
- Existing methods for serum peptide profiling can be time-consuming and complex.
- There is a need for rapid, efficient, and cost-effective analytical tools.
Purpose of the Study:
- To present a novel, rapid methodology for human serum multiple profiling.
- To develop a cost-effective and simple approach for peptide extraction and analysis.
- To demonstrate the utility of the method in classifying biological samples.
Main Methods:
- Sequential chemical depletion of serum using DTT and ACN.
- Fast protein digestion utilizing ultrasonic energy.
- Peptide concentration via C18 Zip-tips and sequential extraction with varying ACN concentrations.
- Mass spectrometry profiling of peptide extracts using MALDI-TOF.
Main Results:
- Successful classification of 40 individuals (20 healthy, 20 non-healthy) with q-value < 0.05.
- Demonstrated the effectiveness of MALDI-TOF spectra for sample classification.
- The method proved to be rapid, simple, and cost-effective.
Conclusions:
- The presented methodology offers a cheap, simple, and fast approach for human serum peptide profiling.
- This technique has broad applicability for serum samples and other complex biological fluids.
- The method shows significant potential for diagnostic and research applications in proteomics.
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