Phone: (952) 681-7960
Tel.: +36 72 891-888
Phone: (952) 681-7960
Tel.: +36 72 891-888
All Rights Reserved
2013 Soft Flow Inc.
Soft Flow Hungary Ltd. – in cooperation with Soft Flow, Inc., Minneapolis, USA – develops multiplexing cytometric bead array technologies. Our ‘Lab on Beads’ line includes kits for veterinary applications, detection of mycotoxin contamination in food and feed products, and assessment of „cytokine profile” in migratory bird species to study the role of migratory birds in pandemic spreading of zoonoses. A package of specific software applications based on clustering algorithm(s), harnessing cytometric bead array technologies is also part of the Lab on Beads system. Soft Flow possesses over a dozen of hybridoma cell lines producing monoclonal antibodies against mycotoxins and antibiotics.
Lab on Beads™ – Development of microbead based multiplexing technologies and data processing software applications
Bead-Based Detection Methods (cytometric bead array) and Intracellular Protein Analysis
Cytokines, growth factors, hormones and other proteins responses of cell proliferation, growth inhibition, autoimmune response and cell signaling or other cellular responses including synthesis of specific metabolites (proteins), or receptor binding assays can be specifically assayed by cytometric bead assays. It is a flow cytometry application that allows users to quantify multiple proteins simultaneously. Each capture bead in the array has unique fluorescence intensity and is coated with a capture antibody specific for a single analyte. A combination of different beads is mixed with a sample or standard and a mixture of detection antibodies that are conjugated to a reporter molecule (PE). Following incubation and subsequent washing, the samples are acquired on a flow cytometer.
Our bioanalytical laboratory is equipped with state-of-the-art analytical equipment, including BD FACSCalibur™, BD FACSArray™, StratedigmTM S1200, Luminex100is flow cytometers .
Our Lab on Beads™ system uses microbead based multiplexing technology to enable the simultaneous quantitation of several analytes. Two types of microbeads are used: Microbeads manufactured by polymer chemistry and biological microbeads. Both types are internally dyed with fluorophores providing several possible levels of fluorescent intensities, and the corresponding families of the spectrally addressed bead sets.
The Lab on Beads line includes kits using the classical sandwich ELISA type principle, as well as new assays based on novel technologies. One group of novel applications is based on the combination of PCR, nucleic acid hybridization and the suspension array technology. These methods are applied to detect gene-rearrangements, translocations, and mutations or deletions. Potential applications involve quick molecular diagnosis of genetic changes in tissue samples from patients of cancer or hemoproliferative diseases, and gene mutation. Another group of techniques involves simple, sensitive tests for the measurement of the activity of certain hydrolytic enzymes in body fluids, including proteolytic enzymes and nucleases. A microbead based assay system aiming at the development of a DNA binding protein (DBP) test capable of profiling the transcriptional stage of cells or tissues is under development. An increasing number of observations shows that a given functional status or disorder of cells or tissues has a unique fingerprint in terms of the expression pattern of transcription factors.
A package of specific software applications based on clustering algorithm(s) that are able to identify and select microbead clusters on flow cytometric single parameter histograms and bivariate distributions (dot plots) is also part of the Lab on Beads system. Harnessing future suspension array technologies requires substantially new data processing solutions such as the pattern recognition of the “fingerprints” of genomic, proteogenomic and proteomic status of cells and tissues. Subsequent to a sophisticated data analysis of flow cytometry list mode data files, the first step of the processing should provide the empirical fingerprint via advanced cluster analysis. The generated “fingerprint patterns”, are then analyzed with non-parametric data analysis algorithms by tuning the existing solutions of artificial neural networks to SAT data processing.