WP03 - Membranous Nephropathy
Objectives
- Establish and harmonize a large database of deeply phenotyped patients and related bioresources
- Identify pathogenic B-cell epitopes, novel antigens and gene variants responsible for disease initiation, progression and recurrence in the graft
- Characterize T-cell epitopes, T-cell regulation and triggering events involved in disease initiation, remission and recurrence
- Develop proprietary assays for the identified biomarkers and assess their diagnostic and predictive values in large cohorts as defined in objective 1
Workpackage Description
Methodologies
Antigen/Epitope Screening
For identification of antigens specifically recognized by kidney deposited antibodies, we have developed a sensitive immunoproteomics approach based on cell-surface biotinylation of a well-differentiated podocyte cell line. Biotinylated proteins are isolated and immunoprecipitated by immunoglobulins eluted from glomeruli of patients with MN or other nephropathies as controls. Recognized antigens are identified by 2D electrophoresis and mass spectrometry. For identification of pathogenic epitopes, we will use unbiased approaches which can help identify ligands for disease-specific antibodies whether the antigen is known or not, and whether the epitopes are linear or conformational formed by amino acids that are only in close proximity in the tertiary structure. Sequences of the identified peptides will be compared with known sequences in a human protein data bank and with known microbial sequences (Swiss-prot database) in search of molecular mimicry. We will also map the sequence of identified peptides on the 3-D models of the candidate and already known antigens to identify conformational epitopes.
Next generation sequencing
We plan to use NGS techniques for high-throughput discovery of novel genetic variants and to develop diagnostic tools.
Targeted sequencing of specified genetic loci like HLA-DQA1, PLA2R1 and other candidate genes as well involves enrichment of the genomic regions of interest (SureSelect for example) and sequencing using the platforms available in the Consortium. Data analysis of sequencing variants comprises discrete filtering strategies, comparing DNA reads of patients with reference sequences from publically available databases (1000 genomes project, dbSNP, in-house databases) to identify novel variants. Sequencing is followed by confirmation of the identified variants by Sanger sequencing.
WP Leader
Prof. Pierre Ronco (Deputy: Peter Mathieson)
INSERM UMRS 702
Participating Partners
Heidelberg University Medical Center
University of Zurich
Istituto di Ricerche Farmacoligiche Mario Negri
University of Michigan
University of Bristol
Radboud University Nijmegen Medical Center
University of Manchester
University College London
Metabometrix Ltd.
Philogen S.p.A
Philochem AG
Comprehensive Biomarker Center
mosaiques diagnostics GmbH