Pre-analytical operating procedures for serum Low Molecular Weight protein profiling.

Department of Laboratory Medicine and Advanced Biotechnologies, IRCCS San Raffaele Pisana, Rome, Italy.
Journal of proteomics (Impact Factor: 5.07). 09/2009; 73(3):667-77. DOI: 10.1016/j.jprot.2009.09.006
Source: PubMed

ABSTRACT Biological specimen collection and storage are an integral component of serum proteomics research. Although many efforts have been posed to address the effects of pre-analytical procedures, standardized protocols for collection and storage of samples for Low Molecular Weight (LMW) proteome profiling are still needed. Here we report a systematic analysis on the influence of pre-analytical factors [clotting times, temperature and time storage, addition of protease inhibitor (PI)] on serum LMW proteome profiling. Moreover, a comparison between manual versus automated peptide purification by functionalized magnetic bead-based MALDI-MS approach was performed. The results demonstrated best serum LMW proteins recovery and stability using a clotting time between 1 and 2h, with serum stored up to 2h either at room temperature or at 4 degrees C, independently of PI addition. PI addition to whole blood resulted in a lower number of LMW peaks detected. Finally, minimal effects on serum proteome profiles were observed after 1-month storage at -80 degrees C, independently of PI addition on whole blood and/or serum. In conclusion, the use of standardized pre-analytical and storage procedures together with an automated peptide purification might minimize potential bias on serum LMW profiling results, thus allowing a better homogeneity and reproducibility in future proteomics studies.

  • [Show abstract] [Hide abstract]
    ABSTRACT: We recently developed a native multidimensional chromatographic method for serum and plasma fractionation for proteomic biomarker search. This method has several advantages:parallelization and automation, high reproducibility and proteome coverage, flexible dynamic range with respect to molecular weight and sample amount, optional enzymatic and immunological analytics additional to mass spectrometry, retaining metabolites, and information on complex formation, modification, and fragmentation of constituents. Nevertheless, native conditions have the probable risk of proteome alteration and biomarker loss by intrinsic proteinases. Hence, we tried to quantify here intrinsic proteolytic activity in native samples and fractions from serum, plasma and cerebrospinal fluid, as well as the effectiveness of intrinsic anti-proteinases during sample handling and preparation under our fractionation conditions. Therefore, we used several quantitative measures: (1) total proportion of intrinsic protein and peptide fractions, (2) azocasein hydrolysis and (3) mass spectrometric protein coverage and peptide numbers. To 1: In all non-fractionated specimens, neither decrease of protein concentration or molecular weight nor increase of peptide concentration was found after variable clotting or pre-incubation time. To 2: No azocasein hydrolysis was seen in these samples when prepared within a few hours at room temperature. Trypsin, when added in concentrations not higher than 0.85μg/mL (0.04μM), even was completely inhibited. Moreover, in native 1-D fractions no proteinase activity could be observed. To 3: Mass spectrometry confirmed that neither protein coverage nor peptide numbers differ significantly in 1-D or 2-D fractions after variable incubation time. These results suggest that intrinsic, native proteinase inhibitors potentially protect the proteomes considered, enabling "top-down" proteomic approaches under native conditions with serum, plasma and cerebrospinal fluid.
    Journal of chromatography. B, Analytical technologies in the biomedical and life sciences 02/2013; 923-924C:102-109. · 2.78 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The prevalence of metabolic disorders (MDs), especially diabetes, is rapidly increasing worldwide, leading to an increasing risk of cardiovascular and other socially relevant complications. To boost MD biomarker discovery, advanced proteomics can harmonize metabolomics. Indeed, the rapid development of mass spectrometry (MS) has designated proteomics as an emerging platform to interrogate the plasma/serum proteome for the discovery of next-generation biomarkers exploitable for risk assessment, early detection and prognosis of MDs. Preanalytical plasma/serum treatment, such as combinatorial peptide ligand libraries with nano-liquid chromatography coupled with tandem MS or selected reaction monitoring coupled to triple-quadrupole time-of-flight instruments, are proven clinical laboratory techniques for quantitative analyses. New strategies, such as SWATH™ MS, which allows us to systematically characterize and quantify query sample sets of 'any protein of interest' in complex biological samples, may dramatically improve next-generation MD biomarkers, especially considering the plethora of candidates coming from the 'bioreactor' gut microbiota affecting MD onset and progression.
    Biomarkers in Medicine 12/2012; 6(6):759-73. · 3.22 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The development of Biobanks and recent advances in molecular biology have enhanced the possibility to accelerate translational research studies. The Interinstitutional Multidisciplinary BioBank (BioBIM) is organized in a large healthy donors collection and pathology-based biobanks with the aim to provide a service for development of interdisciplinary studies. A new pathology-based biobank has been organized to specifically collect biospecimen from patients affected by migraine, with the final goal to centralize data, collect blood, plasma, serum, DNA and RNA of patients with this disease. The BioBIM is fully equipped for the automation of sampling/processing, storage and tracking of biospecimens. Standard Operating Procedures have been developed for processing and storage phases as well as archive of clinical data. The availability of biospecimens and clinical data will constitute a resource for various research projects.
    Neurological Sciences 01/2013; · 1.41 Impact Factor