At any given moment, your body is producing a vast, diverse army of proteins known as antibodies to actively defend your health. While these proteins make up a massive portion of the total protein content in your blood, they present a unique scientific puzzle. They exist in an immense diversity of highly similar variants to recognize as many treats as possible.
In the world of mass spectrometry, this creates a major hurdle known as spectral congestion, where highly abundant proteins overshadow other low-abundant ones, rendering the lower abundant antibodies virtually invisible.
In our recent publication, we tackled this challenge head-on. By integrating advanced acquisition strategies (DIA-PTCR and unfiltered full profile acquisition) into our mass spectrometry pipeline, we found a way to combat spectral crowding. Instead of looking at everything at once, this technique selectively isolates different subsets of the total antibody pool, allowing low-abundant species to come into focus.
This new approach doubled the number of antibodies detected in a single run, all without requiring larger sample quantities or extra analysis time. Crucially, it achieved this efficiency boost while fully maintaining the high-quality data integrity that our research relies on, opening new doors for deeper, more comprehensive immune system profiling.
Click here for more information.
