Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

cDNA microarray analysis reveals fundamental differences in the expression profiles of primary human monocytes, monocyte-derived macrophages, and alveolar macrophages.

Author information

Affiliations

  • 1. Department of Pathology, University of Washington, 815 Mercer Street, Seattle, WA 98109-4714, USA.
      Authors
    • Li J 1
    (1 author)

ORCIDs linked to this article

Journal of Leukocyte Biology, 17 Oct 2006, 81(1):328-335
https://doi.org/10.1189/jlb.0206124 PMID: 17046970 

Abstract 

We report the systematic use of large-scale cDNA microarrays to study the gene expression profiles of primary human peripheral blood monocytes (MONO) in comparison with in vitro-differentiated, M-CSF-induced MONO-derived macrophages (MAC) and primary human alveolar MAC (AM), obtained by bronchoalveolar lavage from the lungs of normal volunteers. These studies revealed large-scale differences in the gene expression profile between both MAC types (MAC and AM) and MONO. In addition, large differences were observed in the gene expression profiles of the two MAC types. Specifically, 21% of genes on the array (2904 out of 13,582) were differentially expressed between AM and MONO, and 2229 out of 13,583 probes were differentially expressed between MAC and AM. Our expression data show remarkable differences in gene expression between different MAC subpopulations and emphasize the heterogeneity of different MAC populations. This study underscores the need to scrutinize models of MAC biology for relevance to specific disease processes.

Full text links 

Read article at publisher's site: https://doi.org/10.1189/jlb.0206124

References 

Articles referenced by this article (43)

Show 10 more references (10 of 43)

Citations & impact 

Impact metrics

32
Citations
Jump to Citations
2
Data citations
Jump to Data

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/35555717
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/35555717

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1189/jlb.0206124

Supporting
Mentioning
Contrasting
1
34
1

Article citations

Go to all (32) article citations

Data 

Similar Articles 

To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.

Funding 

Funders who supported this work.

NHLBI NIH HHS (1)

National Institutes of Health (1)