The breakthrough isn't just in locating biomarkers, but in being able to pinpoint a biomarker location once and refer to it time and time again.
Applied Proteomics focus on process control has let it achieve best-in-class reproducibility in mass-spectrometry-based proteomics biomarker data acquisition and analysis. In essence, greatly reducing the noise allows the same protein analytes to appear in the same position with respect to LC time and m/z and with the same intensity from run to run.
The superior levels of reproducibility achieved enable novel methods of data acquisition that span multiple LCMS injections on any given day, or between days, including different instances of sample handling and processing. Freed of the need to have quantification and identification occur in the same LCMS injection, as has historically been the case, Applied Proteomics is able to independently optimize both tasks and dramatically improve results. An apt metaphor is a stick-pin marking an interesting location on a map. Once such a position has been mapped, it can be referred to again and again without the wasted effort necessary to locate it before going on to the next step.
In this video clip, a single proteomic sample in LCMS space is initially shown, which then transitions to an overlay with another, different sample. One sample is shown in red, the other in green, and where they overlap in LC time, m/z, and abundance, the color changes to yellow. The brief LC time shifts seen in the clip show that there are in fact two different samples present. The dominance of yellow visually shows the high degree of reproducibility that is possible with Applied Proteomics' discovery platform, both at the individual peptide feature level, and across the entire LCMS space.