Literature DB >> 22930584

Stepwise isolation of human peripheral erythrocytes, T lymphocytes, and monocytes for blood cell proteomics.

Frederic Brosseron1, Caroline May, Bodo Schoenebeck, Bettina Tippler, Dirk Woitalla, Marion Kauth, Kathrin Brockmann, Helmut E Meyer, Daniela Berg, Albrecht Bufe, Katrin Marcus.   

Abstract

PURPOSE: Density gradient centrifugation and magnetic- or fluorescence-activated cell sorting are common and robust techniques for the isolation of different types of blood cells. In this article, we give detailed description of a stepwise application of these methods as one isolation strategy for enrichment of different cell types from one blood sample. EXPERIMENTAL
DESIGN: The workflow targeted erythrocytes, monocytes, and T lymphocytes. Pancoll® density gradient centrifugation was used together with subsequent MACS™ isolation. Purity of monocytes and T lymphocytes was controlled by fluorescence-activated cell sorting analysis, and cells were used for carrier-ampholine-based 2D-PAGE to confirm compatibility of the procedure to standard proteomic applications.
RESULTS: Gradient centrifugation resulted in an average of 125 μL of packed erythrocytes per milliliter blood. MACS™ sorting reached purities of 90 ± 2% (monocytes) and 93 ± 2% (T lymphocytes), with an average yield of 12 × 10(4) monocytes or T lymphocytes. 2D-PAGE of isolated cells showed well-separated spot patterns. CONCLUSIONS AND CLINICAL RELEVANCE: A combined isolation holds substantial advantages especially in clinical studies, as it allows for the comparison of findings not only between individuals, but also between different cell types derived from one donor. Our approach ensured high reproducibility, yields, and purities of cells as required for reliable proteome analysis.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22930584     DOI: 10.1002/prca.201200032

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  3 in total

1.  Social network architecture of human immune cells unveiled by quantitative proteomics.

Authors:  Jan C Rieckmann; Roger Geiger; Daniel Hornburg; Tobias Wolf; Ksenya Kveler; David Jarrossay; Federica Sallusto; Shai S Shen-Orr; Antonio Lanzavecchia; Matthias Mann; Felix Meissner
Journal:  Nat Immunol       Date:  2017-03-06       Impact factor: 25.606

2.  FACS-Based Proteomics Enables Profiling of Proteins in Rare Cell Populations.

Authors:  Evelyne Maes; Nathalie Cools; Hanny Willems; Geert Baggerman
Journal:  Int J Mol Sci       Date:  2020-09-08       Impact factor: 5.923

3.  A robust mass spectrometry method for rapid profiling of erythrocyte ghost membrane proteomes.

Authors:  Haddy K S Fye; Paul Mrosso; Lesley Bruce; Marie-Laëtitia Thézénas; Simon Davis; Roman Fischer; Gration L Rwegasira; Julie Makani; Benedikt M Kessler
Journal:  Clin Proteomics       Date:  2018-03-21       Impact factor: 3.988

  3 in total

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