Immuno-biotechnology an important field of biotechnology. With the advent of advanced DNA sequencing, and other technologies, immuno-biotechnology has significantly increased the use of computing technologies to decipher the meaning of large datasets and predict interactions between immune receptors (antibodies / T-Cell receptors / MHC) and their targets. Progress toward developing an immuno-bioinformatics course with Shoreline Community College is summarized in the attached presentation.
It would be unfair to teach an advanced bioinformatics class without getting into the weeds of command line interfaces (CLIs), heading, tailing, greping, and wc-ing files, piping programs together, and running a bioinformatics program and working with its output. Hence, in the final component of the immuno-bioinformatics class that we [Digital World Biology] are developing for Shoreline Community College will use cloud computing in the CyVerse environment to run IgBLAST. Read more
Bioinformatics is full of unexpected adventures. Some are related to data discoveries, but many more are related to navigating the maize of software needed to implement a solution.
DNA sequencing-based immunoprofiling quantitatively measures AR diversity in samples by determining the sequences of V(D)J junctions. AR receptor diversity is vast due to a combinatorial rearrangement process that inserts a variable number of random DNA bases at each junction. In the sequencing process V(D)J junctions are amplified with V and J gene specific primers and, to be quantitative, differences in amplification rates that are due to primer sequences must be factored into each assay.
Immunoprofiling is the quantitative measurement of antigen receptors (ARs; antibodies or T-cell receptors) in a sample and is a hot area in biotechnology. Immunoprofiling is used to assess the diversity of antigen receptors (ARs: antibodies and T-Cell receptors) and how this diversity changes in response to allergens, infections, or vaccines. In cancer therapy, Immunoprofiling is used to develop biomarkers and understand how an individual’s immune cells fight tumors, and predict individuals' response to immunotherapy.
