Stop by our booth to learn about our multiomics solutions for your projects!
BGI offers one of the industry’s most comprehensive multiomics mass spec service portfolios with excellent data quality and quick turnaround time. We transform research and accelerate drug discovery through the following applications and more:
Meet our scientists in poster session to learn about our novel research in proteomics:
Abstract (MP 321): Mass spectrometry targeted proteomics strategies such as Parallel Reaction Monitoring (PRM) is one of the widely used tool for absolute protein quantification in drug development and food science. However, bottlenecks such as slow turnaround time of synthetic isotopic peptide, high run-to-run variability, and loss of remaining proteome information are limitations to the PRM technique. Here we have demonstrated a novel absolute protein quantification strategy utilizing relative quantification techniques, namely Tandem Mass Tag (TMT) and Data-Independent Acquisition (DIA), in combination of spike-in proteins of interest to accurately quantify endogenous protein content without losing relative proteome information. We expect to have target protein of interest linearity in a separate sample matrix that can accurately quantify key target proteins within the TMT or DIA experiment matrix.
Abstract (MP 253): Accurate identification and quantification of the phosphoproteome in biological systems is key to help researchers study phosphorylation driven pathways. In phosphoproteomics, though Tandem Mass Tag (TMT) and Data Independent Acquisition (DIA) are powerful tools in protein identification and quantification, the two workflows differ significantly. Here, we demonstrated a direct phosphoproteome quantitation comparison between TMT and DIA with same input material and instrument time. To achieve an in-depth coverage of the phosphoproteome, two orthogonal fractionation methods were applied to both quantification methods, and samples were analyzed with Tribrid Eclipse with FAIMS. Both methods were compared in multiple dimensions including identification and quantification numbers, consistency between replicates and accuracy as well as sensitivity of the spike-in samples.