human protein array

The UniPEx protein array contains > 36,000 spots with > 14,000 distinct human antigens. The UniPEx protein expression library consists of 1 Array representing clones in 2 different modified vectors, expressed in 2 different E. coli strains.

In total, more than 100,000 sequenced clones from different protein expression libraries (human fetal brain, T-cells, lung and colon) were analyzed in depth for their coding potential.

After in-frame analysis, mostly clones with a confirmed in-frame ORF were selected and redundancy with respect to clones per gene was minimized (< 3 fold).

Find out more about protein classes, tissue expression & disease involvement in regard to our array content

Protein Array Service

We support you in biomarker discovery and the determination of antibody specificity. With our protein array analysis we offer full service around protein arrays.

Product No.:



Human fetal brain, CD4+ T-cells, lung and colon cDNA

Expression host:

E. coli

Number of spots:

36,864 spots in total, 6,216 (16.9 %) controls, 30,648 protein-coding E. coli clones

Number of distinct antigens/genes:

14,240 different antigens which represent > 5,000 different genes

Controls & multiple determination:):

Controls are guiding spots, blanks & E. coli clones with empty vectors. Protein-coding E. coli clones are spotted at least in duplicate.

Protein conformation:

Mixture of partially de-and renaturated

Protein length & ORF:

1,484 different in-frame full-length proteins (10.4 % of spots in total); 9,132 in-frame protein isoform variants & peptides (64.1 % of spots in total); 3,624 neoantigens & frameshift peptides (25.4 % of spots in total)

Tag (for detection and purification purposes):

N-terminal RGS-His6

Array matrix and size:

PVDF-membrane, 222mm x 222mm (approx. 8.7 inch x 8.7 inch)


1.100 € per array, bulk discount possible

Testimonials of UniPEx Protein Arrays

Take a look to our costumer voices about their experience with our human protein arrays.
You have already worked with our arrays? Send us your experience report!

We used the protein macroarrays to screen for protein-protein interaction (PPI) partners using fluorophore-labelled peptide baits. This enabled us to identify the histone lysine N-methyltransferase EHMT2/G9a as an interaction partner and functional modulator of trans-activation domains of transcription factors of the C/EBP family (1). We have further extended these PPI screens on UniPEx Arrays and to differentially post-translationally modified (PTM) peptides as baits. Thereby, we could not only measure large numbers of protein interactions on approximately one-third of the proteome simultaneously, but also explore a protein´s interactome depending on defined PTM states (2). An advantage of this approach using UniPEx protein/peptide libraries was the presence of large amounts of unmodified pray protein (expressed in E. coli) in combination with a defined duplicate spotting pattern, which enables quick exclusion of false-positive interactions.

1 Pless O, Kowenz-Leutz E, Knoblich M, Lausen J, Beyermann M, Walsh MJ & Leutz A.(2008), G9a-mediated Lysine Methylation Alters the Function of CCAAT/Enhancer-binding Protein-beta. The Journal of Biological Chemistry VOL. 283, NO. 39, pp. 26357–26363; DOI: 10.1074/jbc.M802132200.

2 Pless O, Kowenz-Leutz E, Dittmar G & Leutz A (2011), A differential proteome screening system for post-translational modification–dependent transcription factor interactions. Nature Protocols VOL.6 NO. 3; DOI: 10.1038/nprot.2011.303

Ole Pless used engine Unipex protein array
Ole Pless, PhD

Fraunhofer IME Screening Port, Hamburg, Germany

To our experience, the protein arrays are super-informative and yield highly reproducible results specifically for biomarker discovery and validation. We have screened Testis, Fetal hEX1, UniPEx and hEXselect protein arrays to identify autologous antibodies specific to Small Cell Lung Cancer (SCLC), Non-small Cell Lung Cancer (NSLCL), Ovarian Cancer, Colorectal Cancer, Gastric Cancer, Behcet’s disease and Neuromyelitis optica (NMO) in comparison with healthy controls. We were able to identify disease specific autologous antibodies and validate them via custom-made arrays. The nature and format of the protein arrays provided us the opportunity to develop a screening protocol by which we were able to generate signals in a broad dynamic range, obtain high signal/background and positive signal/negative signal ratios. Further, we could identify novel autologous antibodies which we will publish after validation with ELISA and Western blot.

Sukru Atakan used hexselect and unipex engine protein array
Şükrü Atakan, Postdoctoral Researcher

Bilkent University, Turkey

More Inspiration?

Have a look at our publication list with more than 100 studies using engine protein arrays. Our arrays based on the technique of Source Biosciences, imaGenes and RZPD.