ArticlePloS one2013
Interindividual variation in the proteome of human peripheral blood mononuclear cells.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Peripheral blood mononuclear cell proteome changes in patients with myelodysplastic syndrome.BioMed research international · 2015Trial
- Nano(bio)Materials Do Not Affect Macrophage Phenotype-A Study Conducted by the REFINE Project.International journal of molecular sciences · 2024Article
- High-Throughput Immunological Analysis of Dictamni Cortex: Implication in the Quality Control of Herbal Medicine.Molecules (Basel, Switzerland) · 2019Article
- In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets.Proteomes · 2018Article
- Wolbachia Endosymbionts Modify Drosophila Ovary Protein Levels in a Context-Dependent Manner.Applied and environmental microbiology · 2016Article
- Determination of variation parameters as a crucial step in designing TMT-based clinical proteomics experiments.PloS one · 2015Article
- Immune reconstitution from peripheral blood mononuclear cells inhibits lung carcinoma growth in NOD/SCID mice.Oncology letters · 2014Article
- Unravelling associations between unassigned mass spectrometry peaks with frequent itemset mining techniques.Proteome science · 2014Article
- Two dimensional gel phosphoproteome of peripheral blood mononuclear cells: comparison between two enrichment methods.Proteome science · 2014Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peripheral blood mononuclear cells (PBMCs) are main actors in inflammatory processes and linked to many diseases, including rheumatoid arthritis, atherosclerosis, asthma, HIV and cancer. Moreover, they seem an interesting 'surrogate tissue' that can be used in biomarker discovery. In order to get a good experimental design for quantitative expression studies, the knowledge of the interindividual variation is an essential part. Therefore, PBMCs were isolated from 24 healthy volunteers (15 males, 9 females, ages 63-86) with no clinical signs of inflammation. The extracted proteins were separated using the two dimensional difference in gel electrophoresis technology (2D-DIGE), and the gel images were processed with the DeCyder 2D software. Protein spots present in at least 22 out of 24 healthy volunteers were selected for further statistical analysis. Determination of the coefficient of variation (CV) of the normalized spot volume values of these proteins, reveals that the total variation of the PBMC proteome varies between 12,99% to 148,45%, with a mean value of 28%. A supplemental look at the causes of technical variation showed that the isolation of PBMCs from whole blood is the factor which influences the experimental variance the most. This isolation should be handled with extra care and an additional washing step would be beneficial. Knowing the extent of variation, we show that at least 10 independent samples per group are needed to obtain statistical powerful data. This study demonstrates the importance of considering variance of a human population for a good experimental design for future protein profiling or biomarker studies.
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