The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression
Abstract
Comprehensive analysis of the gene expression profiles associated with human monocyte-to-macrophage differentiation and polarization toward M1 or M2 phenotypes led to the following main results: 1) M-CSF-driven monocyte-to-macrophage differentiation is associated with activation of cell cycle genes, substantiating the underestimated proliferation potential of monocytes. 2) M-CSF leads to expression of a substantial part of the M2 transcriptome, suggesting that under homeostatic conditions a default shift toward M2 occurs. 3) Modulation of genes involved in metabolic activities is a prominent feature of macrophage differentiation and polarization. 4) Lipid metabolism is a main category of modulated transcripts, with expected up-regulation of cyclo-oxygenase 2 in M1 cells and unexpected cyclo-oxygenase 1 up-regulation in M2 cells. 5) Each step is characterized by a different repertoire of G protein-coupled receptors, with five nucleotide receptors as novel M2-associated genes. 6) The chemokinome of polarized macrophages is profoundly diverse and new differentially expressed chemokines are reported. Thus, transcriptome profiling reveals novel molecules and signatures associated with human monocyte-to-macrophage differentiation and polarized activation which may represent candidate targets in pathophysiology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Despite a number of genomic studies analyzing macrophage activation in response to bacteria, TLR ligands, and M1 or M2 stimuli, to date there have been no attempts to reconcile these observations by building new and integrative models of macrophage activation”
From Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation (2014) · cites this paper as Martinez et al., 2006
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
The chemokine system in diverse forms of macrophage activation and polarization
MANTOVANI, A., SICA, A., SOZZANI, S., ALLAVENA, P., VECCHI, A., & LOCATI, M. (2004) · Trends in Immunology · doi:10.1016/j.it.2004.09.015 · Cited by 6,534
Self-citationAlternative activation of macrophages
Gordon, S. (2003) · Nature Reviews Immunology · doi:10.1038/nri978 · Cited by 6,189
Self-citationThe many faces of macrophage activation
Mosser, D. M. (2003) · Journal of Leukocyte Biology · doi:10.1189/jlb.0602325 · Cited by 1,902
Identifying differentially expressed genes using false discovery rate controlling procedures
Reiner, A., Yekutieli, D., & Benjamini, Y. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btf877 · Cited by 1,765
Macrophage Polarization Comes of Age
Mantovani, Sica, & Locati, M. (2005) · Immunity · doi:10.1016/j.immuni.2005.10.001 · Cited by 1,259 · cited 7×
“such as the mannose receptor 1 (34, 35), the scavenger receptors SR-A and M160 (3, 5, 36).”
BackgroundInfluentialSelf-citationArginase-1 and Ym1 are markers for murine, but not human, alternatively activated myeloid cells
Raes, G., Van den Bergh, R., De Baetselier, P., & Ghassabeh, G. H. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.11.6561 · Cited by 302
Blackwell, J. M., Searle, S., Mohamed, H., & White, J. K. (2003) · Immunology Letters · doi:10.1016/s0165-2478(02)00231-6 · Cited by 169
Research works printed but not linked: 61
- 2001, J. Leukocyte Biol., 11
- 2002, J. Leukocyte Biol., 621
- 2003, Nat. Rev. Immunol., 23
- 2004, Trends Immunol., 677
- 2005, Immunity, 344
- 1999, Immunity, 137
- 1993, Science, 1739
- 1983, J. Exp. Med., 670
- 1999, Pathobiology, 222
- 2000, J. Immunol., 6166
- 2003, J. Leukocyte Biol., 209
- 2002, Trends Immunol., 549
- 1992, J. Exp. Med., 287
- 1998, J. Immunol., 5347
- 2004, Science, 1678
- 2002, J. Leukocyte Biol., 597
- 2005, J. Immunol., 834
- 1997, Annu. Rev. Immunol., 323
- 2004, Eur. J. Immunol., 2286
- 2004, Int. Rev. Neurobiol., 25
- 2003, Nucleic Acids Res., e15
- 2000, Pac. Symp. Biocomput., 452
- 2003, Bioinformatics, 368
- 2001, Bioinformatics, 309
- 1998, Proc. Natl. Acad. Sci. USA, 14863
- 2003, Genome Biol., P3
- 2003, Bioinformatics, 2155
- 2003, Nucleic Acids Res., 122
- 2002, Int. J. Biochem. Cell Biol., 315
- 2002, J. Cell Sci., 2461
- 2000, Gene, 1
- 1989, J. Interferon Res., 329
- 1995, Cell Immunol., 264
- 2003, J. Leukocyte Biol., 604
- 2003, Lab. Invest., 1223
- 2000, J. Lipid Res., 376
- 1998, J. Immunol., 2441
- 1999, Blood, 837
- 2004, Proc. Natl. Acad. Sci. USA, 4560
- 1992, Blood, 1972
- 2000, Clin. Exp. Immunol., 361
- 2004, Nat. Med., 126
- 2000, Rev. Med. Interne, 75s
- 2004, Am. J. Ther., 494
- 2005, J. Cell Sci., 4605
- 2001, J. Lipid Res., 620
- 2005, J. Inflamm., 14
- 1998, Eur. J. Immunol., 2760
- 1998, J. Immunol., 1083
- 1988, J. Biol. Chem., 10337
- 2001, Blood, 587
- 2002, Eur. J. Immunol., 2866
- 2002, Curr. Mol. Med., 371
- 2001, Microbes Infect., 149
- 2005, Eur. J. Immunol., 1539
- 2002, J. Immunol., 2634
- 2004, Immunobiology, 179
- 2003, J. Biol. Chem., 34035
- 2001, Scand. J. Immunol., 386
- 2003, Immunol. Lett., 197
- 2005, J. Immunol., 6561
Cited by
Sorted by citations
Exploring the full spectrum of macrophage activation
Mosser, D. M., & Edwards, J. P. (2008) · Nature Reviews Immunology · doi:10.1038/nri2448 · Cited by 9,144
Macrophage plasticity and polarization: in vivo veritas
Sica, A., & Mantovani, A. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59643 · Cited by 6,335
Self-citationAlternative activation of macrophages: mechanism and functions
Gordon, S., & Martinez, F. O. (2010) · Immunity · doi:10.1016/j.immuni.2010.05.007 · Cited by 4,197
Self-citationMacrophage plasticity and interaction with lymphocyte subsets: cancer as a paradigm
Biswas, S. K., & Mantovani, A. (2010) · Nature Immunology · doi:10.1038/ni.1937 · Cited by 3,840
Self-citationMacrophage activation and polarization
Martinez, F. O. (2008) · Frontiers in Bioscience · doi:10.2741/2692 · Cited by 3,160
Self-citation
Metadata
- Authors
- Martinez, F. O., Gordon, S., Locati, M., & Mantovani, A.
- Affiliations
- Istituto Clinico Humanitas , Rozzano ,
- Sir William Dunn School of Pathology, University of Oxford , Oxford ,
- Venue
- The Journal of Immunology
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-11
- Volume
- 177
- Issue
- 10
- Pages
- 7303-7311
- ISSN
- 0022-1767
- 1550-6606
- Cited by
- 2,125
- References
- 8
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression. https://app.cochat.ai/papers/10.4049/jimmunol.177.10.7303
- The paper
- Martinez, F. O., Gordon, S., Locati, M., & Mantovani, A. (2006). Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression. The Journal of Immunology. https://doi.org/10.4049/jimmunol.177.10.7303