Reliable validation of biological relevance
SCIEX solutions for targeted proteomics are driven by the use of our renowned MS/MS sensitivity and precision for MRM and MRMHR approaches for targeted protein quantification and biomarker verification/validation.
The goal of targeted proteomics is to analyze a key set of proteins across large numbers of samples to verify and validate specific biological hypotheses. The ability to analyze larger sample sets enables longitudinal studies, validates biomarkers of disease and drives translational research. Asking specific questions about a subset of proteins across many samples requires high sensitivity, quantitative accuracy and reproducibility to establish biological significance.
MRMHR and MRM approaches are the most sensitive and accurate approaches to relative and absolute protein quantification. Combined with quantitative robustness and high-throughput analysis, both large and small biological changes can be accurately measured for extensive protein panels across large sample cohorts.
Large-scale targeted proteomics without compromise
To gain meaningful information that confirms or disproves the utility of differentially expressed proteins/peptides in specific cell and disease conditions, researchers need the capability to extract even the low-abundance proteins in every sample, at high throughput and with continued reproducibility and precision.
Measure precise differences characteristic of diseases
High-resolution, high mass accuracy, full-scan MS and very high sensitivity MS/MS data significantly increase the depth of information visible in every sample, even for low-abundance proteins, which enables precise characterization.
Harness the throughput needed for extensive protein panels
As more extensive protein panels need to be monitored in a targeted way across multiple samples, higher multiplexing of MRM transitions is essential for throughput enabling large-scale peptide quantification for targeted biomarker research.
Accurately measure biological change in large sample sets
Quantitative robustness and the ability to detect low limits over a wide range of protein abundance remain key to ensuring that both large and small biological changes are accurately measured across large sample cohorts.