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 immunoproteome. 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.
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http://dx.doi.org/10.1016/j.jim.2007.10.011 | DOI Listing |
Sensors (Basel)
January 2025
Department of Computer Science, Faculty of Sciences and Humanities Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.
Impedance-based biosensing has emerged as a critical technology for high-sensitivity biomolecular detection, yet traditional approaches often rely on bulky, costly impedance analyzers, limiting their portability and usability in point-of-care applications. Addressing these limitations, this paper proposes an advanced biosensing system integrating a Silicon Nanowire Field-Effect Transistor (SiNW-FET) biosensor with a high-gain amplification circuit and a 1D Convolutional Neural Network (CNN) implemented on FPGA hardware. This attempt combines SiNW-FET biosensing technology with FPGA-implemented deep learning noise reduction, creating a compact system capable of real-time viral detection with minimal computational latency.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Clinical Genetics, Odense University Hospital, 5000 Odense, Denmark.
Circulating tumor DNA (ctDNA) is a biomarker that could potentially improve the survival rate of ovarian cancer (OC), e.g., by monitoring treatment response and early relapse detection.
View Article and Find Full Text PDFGenes (Basel)
December 2024
Centro Clinico NeMO Adulti, Fondazione Serena Onlus-Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy.
Variants in Cyclin F () have been associated to amyotrophic lateral sclerosis (ALS) and/or frontotemporal dementia (FTD) in a group of cases. The objectives of this study were to determine the contribution of in a large cohort of Italian ALS patients, to look for genotype-phenotype correlation of the mutations and to evaluate the -associated clinical features. We applied next-generation sequencing technologies on 971 unrelated Italian ALS patients and we filtered results to look for variants in gene.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Computer Science, University of Victoria, Victoria, BC, Canada.
Introduction: Accurate genotyping of Killer cell Immunoglobulin-like Receptor (KIR) genes plays a pivotal role in enhancing our understanding of innate immune responses, disease correlations, and the advancement of personalized medicine. However, due to the high variability of the KIR region and high level of sequence similarity among different KIR genes, the generic genotyping workflows are unable to accurately infer copy numbers and complete genotypes of individual KIR genes from next-generation sequencing data. Thus, specialized genotyping tools are needed to genotype this complex region.
View Article and Find Full Text PDFFront Bioinform
December 2024
Bioengineering Unit, Life Sciences Department, Walloon Agricultural Research Centre, Gembloux, Belgium.
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