Exploring digenic inheritance in arrhythmogenic cardiomyopathy
BMC MEDICAL GENETICS
Authors: Konig, Eva; Volpato, Claudia Beu; Motta, Benedetta Maria; Blankenburg, Hagen; Picard, Anne; Pramstaller, Peter; Casella, Michela; Rauhe, Werner; Pompilio, Giulio; Meraviglia, Viviana; Domingues, Francisco S.; Sommariva, Elena; Rossini, Alessandra
Abstract
Background: Arrhythmogenic cardiomyopathy (ACM) is an inherited genetic disorder, characterized by the substitution of heart muscle with fibro-fatty tissue and severe ventricular arrhythmias, often leading to heart failure and sudden cardiac death. ACM is considered a monogenic disorder, but the low penetrance of mutations identified in patients suggests the involvement of additional genetic or environmental factors. Methods: We used whole exome sequencing to investigate digenic inheritance in two ACM families where previous diagnostic tests have revealed a PKP2 mutation in all affected and some healthy individuals. In family members with PKP2 mutations we determined all genes that harbor variants in affected but not in healthy carriers or vice versa. We computationally prioritized the most likely candidates, focusing on known ACM genes and genes related to PKP2 through protein interactions, functional relationships, or shared biological processes. Results: We identified four candidate genes in family 1, namely DAG1, DAB2IP, CTBP2 and TCF25, and eleven candidate genes in family 2. The most promising gene in the second family is TTN, a gene previously associated with ACM, in which the affected individual harbors two rare deleterious-predicted missense variants, one of which is located in the protein's only serine kinase domain. Conclusions: In this study we report genes that might act as digenic players in ACM pathogenesis, on the basis of co-segregation with PKP2 mutations. Validation in larger cohorts is still required to prove the utility of this model.
Identification of prostate cancer antigens by automated high-throughput filter immunoscreening
JOURNAL OF IMMUNOLOGICAL METHODS
Authors: Alsoe, Lene; Stacy, John Erik; Fossa, Alexander; Funderad, Steinar; Brekke, Ole Henrik; Gaudernack, Gustav
Abstract
There is a need for earlier and more accurate cancer diagnostics as well as new targets for cancer immunotherapy. To this end, it is important to identify sets of tumour antigens specific for different cancer forms. Several methods that identify potential tumour antigens in an arrayed and high-throughput format have been developed during the last years of SEREX (serological identification of antigens by recombinant expression cloning) related research. Such techniques may hold the potential to describe the complete immunogenic part of the cancer proteome, also called the cancer imnunoproteome. We have developed a powerful platform for automated serological high-throughput filter screening of tumour cDNA libraries. The screening format of this method is 18,000 single cDNAs clones, which is superior to other high-throughput methods described. The output is antigens, which are potential diagnostic cancer markers and vaccine targets. We present here the results from the screening of a prostate tumour cDNA library with autologous patient antibodies. We first demonstrated the feasibility of the automated high-throughput filter immunoscreening method by use of the NY-ESO-1sv (NY-ESO-1 splice variant) antigen. We then screened 18,000 cDNA clones from a phage display selected prostate tumour cDNA library with autologous patient antibodies and identified several relevant antigens such as NY-ESO-1, XAGE-1, DJ-1 and transcription factor 25 (TCF25). The present high-throughput immunoscreening method has the potential to identify both patient-specific and disease-specific antigens for use in diagnostics and therapy. (C) 2007 Elsevier B.V. All rights reserved.