The HuProt™ Human Proteome Microarray contains the world's largest number of unique, individually-purified human proteins. That’s thousands more than the not-so-close second.
The comprehensive content of the HuProt™ microarray allows thousands of interactions to be profiled in high-throughput.
in 16,152 genes, covering ~81% of the proteome.
Below: CDI HuProt™ microarray comprising GST fusion proteins probed with anti-GST antibody.
The HuProt™ human proteome microarray v3.1 contains >20,000 unique, newly resequenced and individually purified human proteins encompassing 16.152 genes (~81% of the human proteome; see figure, right) and 124 unique mouse gene symbols. Recombinant proteins are expressed in yeast (S. cerevisiae), purified and printed on glass slides in duplicate, along with control proteins.
Search the content of the HuProt Microarray. Click HERE to access searchable files in our "Resources" page.
NEW in v3.1 - State-of-the-Art Manufacturing Technology
After expression, the N-terminal GST- and His6-tagged proteins are purified and printed on glass slides in duplicate, along with control proteins (GST, BSA, Histones, IgG, etc.) and new controls that allow for the use of linear regression analysis, radio-labeled sample analysis and the use of different analytical software.
Slides are bar-coded for tracking/archiving. Each microarray batch is routinely evaluated by GST immunoblotting (98% of all proteins authenticate to their respective molecular weights).
Flexibility is built-in. The HuProt™ human proteome microarray is available on two types of glass surfaces: PATH™ and SuperEpoxy2™.
Focused arrays can be designed out of biomarkers identified within the HuProt™ discovery phase. Efficient (up to 2x7) slide formats can be configured for a cost-effective and rapid approach to the validation phase. VIDEO DEMO! LEARN MORE
The HuProt human proteome microarray can be used for many applications.
in more than 16,000 genes, covering ~81% of the proteome.
CDI recommends the GenePix platform for data analyis once the experimental procedures are completed. The HuProt human proteome microarrays include .gal (GenePix Array List) files for used for data analyis once the experimental procedures are completed. All GenePix scanners include one license of GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarray images.
For the analysis of data generated using the HuProt microarray, click HERE to access the GenePix .gal files in our "Resources" page
CDI supplies a comprehensive USER GUIDE with the HuProt Proteome Microarray. It includes storage and handling tips, material requirements and detailed procedures for eight assays. A lot-specific Certificates of Analysis (COAs) with quality assurance data is also included.
To place an order for the HuProt Human Proteome Microarray, simply give us a call at 1-844-539-6296 and request:
- Catalog # CDI-HP-003.1
- Price $1,120
10-15 --- 15% discount
16-30 --- 20% discount
31+ ----- 25% discount
Further discounts on 100+ quantities are available.
Please call us at 1-844-539-6296.
Custom microarray configurations are available.
Our techical representatives are standing by to assist you.
Using the HuProt Microarray, CDI can do the work for you so you can concentrate on your research. We offer expertise in high-throughput design and provide detailed data analysis. Our techical representatives are standing by to assist you.
Click HERE for more information regarding CDI Custom Discovery Services.
Developed an antibody? The specificity will be critical to the success of your research. HighSpec® Antibody Validation is offered to assess cross-reactivity to thousands of human proteins in the array – BEFORE you publish. Click HERE for more information on HighSpec.
Washburn N et al. (2017) High-resolution physicochemical characterization of different intravenous immunoglobulin products. PLoS One 12(7):e0181251. doi: 10.1371/journal.pone.0181251. [PubMed] [Full Text]
Xu Z et al. (2017) Systematic identification of the protein substrates of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase-T1/T2/T3 using a human proteome microarray. Proteomics 17(11):doi: 10.1002/pmic.201600485 [PubMed]
Yang Z et al. (2017) A Human Proteome Array Approach to Identifying Key Host Proteins Targeted by Toxoplasma Kinase ROP18. Mol Cell Proteomics 16(3):469-484 [PubMed]
Chung BK et al. (2017) Phenotyping and auto-antibody production by liver-infiltrating B cells in primary sclerosing cholangitis and primary biliary cholangitis. J Autoimmun 77:45-54. [PubMed]
Cheng X et al. (2017) Proteomic identification of the oncoprotein STAT3 as a target of a novel Skp1 inhibitor. Oncotarget 8(2):2681-2693. [Full Text]
Gupta S et al. (2017) Serum Profiling for Identification of Autoantibody Signatures in Diseases Using Protein Microarrays. Methods Mol Biol 1619:303-315. [PubMed]
Cox E et al. (2017) Global Analysis of SUMO-Binding Proteins Identifies SUMOylation as a Key Regulator of the INO80 Chromatin Remodeling Complex. Mol Cell Proteomics 16, Mar 2. doi: 10.1074/mcp.M116.063719. [Full Text]
Zhaoshou Yet al. (2017) A human proteome array approach to identifying key host proteins targeted by Toxoplasma kinase ROP18. Mol Cell Proteomics 16, doi:10.1074/mcp.M116.063602mcp.M116.063602 [Full Text]
Barry G et al. (2017) The long non-coding RNA NEAT1 is responsive to neuronal activity and is associated with hyperexcitability states. Nature Scientific Reports 7, Article number: 40127 doi:10.1038/srep40127 [Full Text]
Shi L et al. (2016) Application of high-throughput protein array in clinical screening for tumor markers. Int J Clin Exp Med 9:8529-8535.
Iyama S et al. (2016) Drebrin: A new oncofetal biomarker associated with prognosis of lung adenocarcinoma. Lung Cancer 102:74-81. [PubMed]
Blackshaw S et al. (2016) The NIH Protein Capture Reagents Program (PCRP): a standardized protein affinity reagent toolbox. Nat Methods 13:805-806. [PubMed]
Cheng X et al. (2016) Proteomic identification of the oncoprotein STAT3 as a target of a novel Skp1 inhibitor. Oncotarget DOI: 10.18632/oncotarget.13153. [PubMed]
Hu CJ et al. (2016) Identification of Novel Biomarkers for Behcet Disease Diagnosis Using HuProt Array Approach. Mol Cell Proteomics 2016 Oct 24. pii: mcp.M. 116.061002. [PubMed]
Wang Y et al. (2016) A nuclease that mediates cell death induced by DNA damage and poly(ADP-ribose) polymerase-1. Science 354 2016 Oct 7 DOI: 10.1126/science.aad6872. [Link]
Li H et al. (2016) Penetrance of Congenital Heart Disease in a Mouse Model of Down Syndrome Depends on a Trisomic Potentiator of a Disomic Modifier. Genetics2016 Mar 30. pii: genetics.116.188045. [PubMed]
Ogishi M et al. (2016) Delineation of autoantibody repertoire through differential proteogenomics in hepatitis C virus-induced cryoglobulinemia. Sci Rep 6:29532. [PubMed, Full Text]
Yang L et al. (2016) Identification of serum biomarkers for gastric cancer diagnosis using a human proteome microarray. Mol Cell Proteomics 15 (2):614-23. doi: 10.1074/mcp.M115.051250. Epub 2015 Nov 23 [PubMed]
Syed P et al.(2016) Autoantibody Profiling of Glioma Serum Samples to Identify Biomarkers Using Human Proteome Arrays Sci Rep2015 Sep 15;5:13895. doi: 10.1038/srep13895. [PubMed]
Zhang HN et al. (2015) Systematic identification of arsenic-binding proteins reveals that hexokinase-2 is inhibited by arsenic. Proc Natl Acad Sci USA 112(49):15084-9. [PubMed]
Hu J et al. (2015) Systematic Prediction of Scaffold Proteins Reveals New Design Principles in Scaffold-Mediated Signal Transduction. Comput Biol 112(9): e1004508. [PubMed]
Cox E et al. (2015) Identification of SUMO E3 ligase-specific substrates using the HuProt human proteome microarray. Methods Mol Biol 1295:455-63. [PubMed]
Jung JG et al. (2014) Notch3 interactome analysis identified WWP2 as a negative regulator of Notch3 signaling in ovarian cancer. PLos Genet 10:e1004751. [PubMed]
Fan Q et al. (2014) Identification of proteins that interact with alpha A-crystallin using a human proteome microarray. Mol Vis 20:117–124. [PubMed]
Deng RP et al. (2014) Global Identification of O-GlcNAc Transferase (OGT) Interactors by a Human Proteome Microarray and the Construction of an OGT Interactome. Proteomics 14(9): 1020-30. doi: 10.1002/pmic.201300144. Epub 2014 Mar 25.0. [PubMed]
Ma TM et al. (2014) Serine Racemase Regulated by Binding to Stargazin and PSD-95: Potential NMDA-AMPA Glutamate Neurotransmission Cross-talk. J Biol Chem pii: jbc. M114.571604 [Epub ahead of print]; First Published on August 27, 2014. [PubMed]
Barry G et al. (2013) The long non-coding RNA Gomafu is acutely regulated in response to neuronal activation and involved in schizophrenia-associated alternative splicing. Molec Psychiatry Apr 30. doi: 10.1038/mp.2013.45. ePub ahead of print. [PubMed]
Lee YI et al. (2013) Protein microarray characterization of the S-nitrosoproteome. Mol Cell Proteomics 13:63-72. [PubMed]
Chen Y et al. (2013) Bcl2-associated Athanogene 3 Interactome Analysis Reveals a New Role in Modulating Proteasome Activity. Mol Cell Proteomics 12(10):2804-19. [PubMed]
Donnelly CJ et al. (2013) RNA toxicity from the ALS/FTD C9ORF72 expansion is mitigated by antisense intervention. Neuron 80(2):415-28. [PubMed]
Fan B et al. (2013) A human proteome microarray identifies that the heterogeneous nuclear ribonucleoprotein K (hnRNP K) recognizes the 5’ terminal sequence of the hepatitis C virus RNA. Mol Cell Proteomics 13(1):84-92. [PubMed]
Tarrant MK et al. (2012) Regulation of CK2 by phosphorylation and O-GlcNAcylation revealed by semisynthesis. Nat Chem Biol 8(3):262-9. [PubMed]
Jeong JS et al. (2012) Rapid identification of monospecific monoclonal antibodies using a human proteome microarray. Mol Cell Proteomics 11(6):O111.016253. [PubMed]
Huang Y et al. (2012). Global tumor protein p53/p63 interactome: making a case for cisplatin chemoresistance. Cell Cycle 11(12):2367-79. [PubMed]
Hu CJ et al. (2012). Identification of new autoantigens for primary biliary cirrhosis using human proteome microarrays. Mol Cell Proteomics 11(9):669-80. [PubMed]