Read time: 2 minutes

In a recent presentation, Tim Heymann from Mann Lab at the Max Planck Institute of Biochemistry shared his first impressions of ZT Scan DIA, the novel data-independent acquisition strategy from SCIEX, highlighting its innovative approach and significant benefits for proteomics research. Let’s dive into the key points from his insightful talk.

Understanding ZT Scan DIA

ZT Scan DIA offers a more efficient scan mode than regular SWATH DIA. The major difference lies in the continuous scan with overlapping windows, which eliminates overhead time and provides an additional Q1 scanning dimension. This results in a more efficient and detailed analysis, allowing researchers to distinguish between different precursors even if they appear to coelute.

Benchmarking ZT Scan DIA

Tim’s initial benchmarks focused on three performance assessments with a K562 digest: bulk-level analysis, lower sample inputs and short gradients. Using the Evosep One system coupled to the ZenoTOF 7600+ system, he tested various setups for higher coverage and throughput. The results were promising, showing a noticeable increase in identifications (IDs) at both the precursor and protein group levels.

Performance at different loads and gradients

ZT Scan DIA significantly boosted performance, especially at lower sample loads and shorter LC gradients. For instance, at 50 nanograms, there was a 50% gain in protein IDs, and at 500 SPD, the increase in quantifiable precursors was almost 100%. This robust performance across different settings highlights the versatility and efficiency of ZT Scan DIA.

Insights into phosphoproteomics

When analyzing phosphopeptides, ZT Scan DIA showed more than 10% gains in phosphosite detections, particularly in the lower abundant range. Although the overlap with Zeno SWATH DIA was lower, this was expected due to the enrichment process in phosphoproteomics. The enhanced selectivity of ZT Scan DIA provides more confidence in identifying phosphosites.

Leveraging AlphaDIA and Transfer Learning for data processing

Tim also discussed using AlphaDIA and Transfer Learning to maximize data analysis. By adapting models to different patterns and setups, AlphaDIA can significantly improve identification rates. Although current limitations prevent full access to the Q1 scanning dimension, ongoing developments promise even better performance in the future.

Conclusion

Overall, ZT Scan DIA represents a substantial advancement in proteomics research. It offers a performance boost that becomes more pronounced at lower loads and faster gradients. With its innovative approach and robust results, ZT Scan DIA is poised to impact the field significantly.

Watch Tim’s presentation here

Related links:

Technical overview: Continuing the data-independent acquisition (r)evolution: Introducing ZT Scan DIA for quantitative proteomics

Nature Portfolio article: Fast, sensitive or accurate? Proteomics researchers can now have all three.