» Articles » PMID: 18578872

Performance Comparison of Two Microarray Platforms to Assess Differential Gene Expression in Human Monocyte and Macrophage Cells

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2008 Jun 27
PMID 18578872
Citations 26
Authors
Affiliations
Soon will be listed here.
Abstract

Background: In this study we assessed the respective ability of Affymetrix and Illumina microarray methodologies to answer a relevant biological question, namely the change in gene expression between resting monocytes and macrophages derived from these monocytes. Five RNA samples for each type of cell were hybridized to the two platforms in parallel. In addition, a reference list of differentially expressed genes (DEG) was generated from a larger number of hybridizations (mRNA from 86 individuals) using the RNG/MRC two-color platform.

Results: Our results show an important overlap of the Illumina and Affymetrix DEG lists. In addition, more than 70% of the genes in these lists were also present in the reference list. Overall the two platforms had very similar performance in terms of biological significance, evaluated by the presence in the DEG lists of an excess of genes belonging to Gene Ontology (GO) categories relevant for the biology of monocytes and macrophages. Our results support the conclusion of the MicroArray Quality Control (MAQC) project that the criteria used to constitute the DEG lists strongly influence the degree of concordance among platforms. However the importance of prioritizing genes by magnitude of effect (fold change) rather than statistical significance (p-value) to enhance cross-platform reproducibility recommended by the MAQC authors was not supported by our data.

Conclusion: Functional analysis based on GO enrichment demonstrates that the 2 compared technologies delivered very similar results and identified most of the relevant GO categories enriched in the reference list.

Citing Articles

Lipid raft-disrupting miltefosine preferentially induces the death of colorectal cancer stem-like cells.

Park S, Kim J, Choi J, Lee C, Lee W, Park S Clin Transl Med. 2021; 11(11):e552.

PMID: 34841679 PMC: 8567043. DOI: 10.1002/ctm2.552.


Serum amyloid P component is an essential element of resistance against Aspergillus fumigatus.

Doni A, Parente R, Laface I, Magrini E, Cunha C, Colombo F Nat Commun. 2021; 12(1):3739.

PMID: 34145258 PMC: 8213769. DOI: 10.1038/s41467-021-24021-y.


Working Towards a Blood-Derived Gene Expression Biomarker Specific for Alzheimer's Disease.

Patel H, Iniesta R, Stahl D, Dobson R, Newhouse S J Alzheimers Dis. 2020; 74(2):545-561.

PMID: 32065794 PMC: 7175937. DOI: 10.3233/JAD-191163.


Atlas of RNA sequencing profiles for normal human tissues.

Suntsova M, Gaifullin N, Allina D, Reshetun A, Li X, Mendeleeva L Sci Data. 2019; 6(1):36.

PMID: 31015567 PMC: 6478850. DOI: 10.1038/s41597-019-0043-4.


Shambhala: a platform-agnostic data harmonizer for gene expression data.

Borisov N, Shabalina I, Tkachev V, Sorokin M, Garazha A, Pulin A BMC Bioinformatics. 2019; 20(1):66.

PMID: 30727942 PMC: 6366102. DOI: 10.1186/s12859-019-2641-8.


References
1.
Murphy D . Gene expression studies using microarrays: principles, problems, and prospects. Adv Physiol Educ. 2002; 26(1-4):256-70. DOI: 10.1152/advan.00043.2002. View

2.
Couzin J . Genomics. Microarray data reproduced, but some concerns remain. Science. 2006; 313(5793):1559. DOI: 10.1126/science.313.5793.1559a. View

3.
Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View

4.
Goeman J, Buhlmann P . Analyzing gene expression data in terms of gene sets: methodological issues. Bioinformatics. 2007; 23(8):980-7. DOI: 10.1093/bioinformatics/btm051. View

5.
Tong W, Bergstrom Lucas A, Shippy R, Fan X, Fang H, Hong H . Evaluation of external RNA controls for the assessment of microarray performance. Nat Biotechnol. 2006; 24(9):1132-9. DOI: 10.1038/nbt1237. View