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. 2025:2929:85-95.
doi: 10.1007/978-1-0716-4595-6_7.

Protein Microarray Analysis with GenePix

Rodrigo Barderas  1   2 , Ana Montero-Calle  3 , Pablo San Segundo-Acosta  3
Affiliations

Protein Microarray Analysis with GenePix

Rodrigo Barderas et al. Methods Mol Biol. 2025.

Abstract

Protein microarrays are powerful proteomics tools for high-throughput analysis. They allow to screen simultaneously large numbers of proteins for their binding specificity, enzymatic activity, and abundance in biological samples, among other uses. One widely used platform for protein microarray analysis is GenePix, which offers instrumentation and software solutions for data acquisition and analysis. Here, we provide an overview of the use of GenePix for protein microarray analysis, exploring its applications and advantages.

Keywords: Antibody microarrays; GenePix; Phage microarrays; Protein microarrays; Proteomics; Screening.

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References

    1. Barderas R, Srivastava S, LaBaer J (2021) Protein microarray-based proteomics for disease analysis. Methods Mol Biol 2344:3–6 - DOI - PubMed
    1. LaBaer J, Ramachandran N (2005) Protein microarrays as tools for functional proteomics. Curr Opin Chem Biol 9(1):14–19 - DOI - PubMed
    1. Montero-Calle A, Barderas R (2021) Analysis of protein-protein interactions by protein microarrays. Methods Mol Biol 2344:81–97 - DOI - PubMed
    1. Ayoglu B, Schwenk JM, Nilsson P (2016) Antigen arrays for profiling autoantibody repertoires. Bioanalysis 8(10):1105–1126 - DOI - PubMed
    1. Babel I, Barderas R, Diaz-Uriarte R, Moreno V, Suarez A, Fernandez-Acenero MJ, Salazar R, Capella G, Casal JI (2011) Identification of MST1/STK4 and SULF1 proteins as autoantibody targets for the diagnosis of colorectal cancer by using phage microarrays. Mol Cell Proteomics 10(3):M110.001784 - DOI - PubMed - PMC

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