Literature DB >> 15048983

A combination of proteomics, principal component analysis and transcriptomics is a powerful tool for the identification of biomarkers for macrophage maturation in the U937 cell line.

Kitty C M Verhoeckx1, Sabina Bijlsma, Els M de Groene, Renger F Witkamp, Jan van der Greef, Richard J T Rodenburg.   

Abstract

The monocyte-like human histiocytic lymphoma cell line U937 can be induced by phorbol 12-myristate 13-acetate (PMA) to undergo differentiation into a macrophage-like phenotype. We have used two-dimensional gel electrophoresis (2-DE), oligonucleotide microarrays and principal component analysis (PCA) to characterize the U937 cell line as a model system for the differentiation of monocytes into macrophages. A total of 226 differentially expressed proteins were found, of which 41 were selected by PCA for identification using matrix-assisted laser desorption/ionization tandem mass spectrometry. Based on the PCA results, three marker proteins were selected for confirmation of differential expression using Western blot and quantitative real time-PCR. The selected marker proteins were: gamma interferon inducible lysosomal thiol reductase, cathepsin D and adipocyte-fatty acid binding protein. All three proved to be good differentiation markers for macrophage maturation of U937 cells as well as peripheral blood-derived macrophages. The transcriptomics data revealed a large number of additional putative differentiation markers in U937 macrophages, many of which are known to be expressed in peripheral blood-derived macrophages. These include osteospontin, matrix metalloproteinase 9, and HC-gp39. Our results show that the characteristics of U937 macrophages resemble those of inflammatory (exudate) macrophages, exemplified by the down-regulation of 5' nucleotidase and the up-regulation of leucine aminopeptidase mRNAs. In conclusion, using the powerful combination of transcriptomics, 2-DE and PCA, our results show that U937 cells differentiated by PMA treatment are an excellent model system for monocyte derived macrophage generation from blood.

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Year:  2004        PMID: 15048983     DOI: 10.1002/pmic.200300669

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  27 in total

1.  LC/MS identification of 12 intracellular cytoskeletal and inflammatory proteins from monocytes adherent on surface-adsorbed fibronectin-derived peptides.

Authors:  Sean T Zuckerman; Weiyuan John Kao
Journal:  J Biomed Mater Res A       Date:  2008-05       Impact factor: 4.396

2.  Glycomic profiling of invasive and non-invasive breast cancer cells.

Authors:  John A Goetz; Yehia Mechref; Pilsoo Kang; Meei-Huey Jeng; Milos V Novotny
Journal:  Glycoconj J       Date:  2008-08-28       Impact factor: 2.916

3.  A comparison of protein extraction methods suitable for gel-based proteomic studies of aphid proteins.

Authors:  M Cilia; T Fish; X Yang; M McLaughlin; T W Thannhauser; S Gray
Journal:  J Biomol Tech       Date:  2009-09

4.  Evidence for bidirectional endocannabinoid transport across cell membranes.

Authors:  Andrea Chicca; Janine Marazzi; Simon Nicolussi; Jürg Gertsch
Journal:  J Biol Chem       Date:  2012-08-09       Impact factor: 5.157

5.  YKL-40 protein expression in normal adult human tissues--an immunohistochemical study.

Authors:  Merete Ringsholt; Estrid V S Høgdall; Julia S Johansen; Paul A Price; Lise H Christensen
Journal:  J Mol Histol       Date:  2007-01-23       Impact factor: 2.611

Review 6.  Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity.

Authors:  Alison Hege Harrill; Ivan Rusyn
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-11       Impact factor: 4.481

7.  Effect of surface-adsorbed proteins and phosphorylation inhibitor AG18 on intracellular protein expression in adherent macrophages.

Authors:  Sean T Zuckerman; Weiyuan John Kao
Journal:  Biomaterials       Date:  2006-03-13       Impact factor: 12.479

8.  Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.

Authors:  J William Allwood; Alexander Erban; Sjaak de Koning; Warwick B Dunn; Alexander Luedemann; Arjen Lommen; Lorraine Kay; Ralf Löscher; Joachim Kopka; Royston Goodacre
Journal:  Metabolomics       Date:  2009-07-24       Impact factor: 4.290

9.  Proteomic Biomarkers of Atherosclerosis.

Authors:  F Vivanco; L R Padial; V M Darde; F de la Cuesta; G Alvarez-Llamas; Natacha Diaz-Prieto; M G Barderas
Journal:  Biomark Insights       Date:  2008-03-12

10.  Visualizing post genomics data-sets on customized pathway maps by ProMeTra-aeration-dependent gene expression and metabolism of Corynebacterium glutamicum as an example.

Authors:  Heiko Neuweger; Marcus Persicke; Stefan P Albaum; Thomas Bekel; Michael Dondrup; Andrea T Hüser; Jörn Winnebald; Jessica Schneider; Jörn Kalinowski; Alexander Goesmann
Journal:  BMC Syst Biol       Date:  2009-08-23
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