To address the imminent need for improved proteome profiling tools, we developed a proteome-wide strategy, (mAB proteomics) to obtain sufficiently comprehensive mAB libraries recognizing the natural immunogenic epitome of the human plasma proteome. Once the plasma epitome is sufficiently covered by hundreds to thousands of mABs, each directed against a different epitope, proteome profiling experiments can be performed similarly to gene expression profiling. After the important biomarker specific mABs are identified by mAB microarray experiments, the selected mABs are available for identification and characterization of the disease specific proteins.
Nascent monoclonal antibody libraries of high complexity are produced by traditional hybridoma technology against abundant protein depleted normal human plasma that has been normalized to minimize representational differences. Hybridoma lines are then selected by (i) IgG secretion and (ii) signal strength - in ELISA assay. Phage display, V-chain cDNA sequencing, sandwich ELISA and biostatistical tools are applied to estimate epitope and protein level redundancy of the libraries. The frequency of mABs recognizing identical and related epitopes is <5%. Immunoprecitpitation and immunoaffinity chromatography followed by RP-HPLC/MS is used to determine protein identities (pIDs) with a significant success rate.
The PlasmaScan (PS) library series includes all mABs selected by criteria described above. QuantiPlasma (QP) library series includes only mABs that work in inhibition assays also. Considering available data sets that address redundancy, we estimate that with 380 mAB containing libraries we profile almost as many different human plasma epitops. Using three microarray platforms (Randox, Arrayit and Microbiochip) we present various experiments to address the plasma proteome dynamics of different plasma samples. PS and QP antibodies are capable to characterize and to distinguish these samples.
This work was supported by: OSEO (France), NCI/NIH (US), EU FP 6 and NKTH (Hungary)
István Kurucz1, Mariana Guergova-Kuras2, William Hempel2, Jozsef Lazar1, Nadège Tardieu2, János Kádas1, Carole Malderez-Bloes2, Anne Jullien2 , András Guttman3, Todd Martinsky4, Mark Shena4, Vincent Saulot5, Frederic Malingue5 Stuart McGregor6, Ivan R McConnell6, John V. Lamont6, Sándor Cseh7, Barry L. Karger3 and László Takács1, 2
1Biosystems International Kft., Nagyerdei krt. 98, H-4012 Debrecen, Hungary,
2Biosystems International SAS, 4 rue Pierre Fontaine, 91000 Evry, France
3Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, USA
4Arrayit Inc. 524 Weddel dr. Sunnyvale CA, USA
5MicroBiochips SAS, 172 rue de Charonne, 75011 Paris, France
6Randox Ltd.Diamond Road, Crumlin, Co. Antrim BT294QV, UK
7TargetEx Ltd., Kápolna köz 4/a, H-2120 Dunakeszi, Hungary
4th Central and Eastern European Proteomics Conference, Vienna 29.08.2010 - 01.09.2010
Biosystems International (BSI) a biotech- nology company focused on the development of novel monoclonal antibody-based diagnostics for cancer and metabolic diseases has established a licensing agreement with the Lohocla Research Corporation for the use of BSI’s patented monoclonal antibody proteo- mics platform for the discovery of novel alcoholism liver disease biomarkers in blood.
Biosystems International and Microbiochips sign collaboration agreement to commer- cialize PlasmaScan™ antibody microarray products.