Site Specific Fluorescent Labeling via SpyTag SpyCatcher for Rapid Hybridoma Screening in Semi-Solid Medium
Hybridoma screening in semi-solid medium typically employs antigens labeled with visible fluorophores (e.g., FITC, AF488) to enable single-step identification of antibody-secreting clones. However, conventional chemical conjugation via NHS-esters or isothiocyanate groups frequently modifies lysine residues located within epitopes, potentially abrogating antibody recognition of these critical…
Conventional hybridoma screening in semi-solid medium relies on antigens tagged with visible fluorophores, such as FITC or AF488, to quickly recognize antibody-producing cell lines. Regrettably, traditional chemical bonding methods involving NHS-esters or isothiocyanate groups often alter lysine residues within the targeted epitopes, potentially disrupting antibody recognition of these vital areas.
In this report, researchers detail a SpyTag SpyCatcher-based site-specific labeling approach that avoids antigen modification during screening. The innovative technique involves genetically attaching a 16-amino-acid SpyTag to the C-terminus of the target antigen, facilitating covalent linking to an sfGFP SpyCatcher fluorescent probe.
When placed in semi-solid medium alongside both the SpyTag-antigen and sfGFPSpyCatcher, positive hybridoma clones become easily identifiable through unique fluorescent halos. Conversely, negative clones do not exhibit any detectable signal.
Remarkably, the site-specific methodology resulted in a substantially higher proportion of fluorescence-positive clones compared to the conventional AF488-labeled antigen technique. This implies that preserving the epitope structure contributes to improved screening recovery rates. Importantly, the site-specific approach did not negatively impact hybridoma growth or final clone positivity, presenting a straightforward, speedy, and epitope-friendly method for monoclonal antibody screening within semi-solid medium.
Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.