DIA Quantitative Plant Proteomics Analysis

Data Independent Acquisition (DIA) is a new, holographic independent data acquisition and quantitative technique based on the trajectory of the electrostatic field. The scanning range is divided into a series of intervals with an interval of 25 Dalt, and all the peptide parent ions in the scanning interval can be scanned at ultra-high speed and secondary fragmentation, thus the complete peptide information can be obtained. Compared with the traditional proteomics using Data Dependent Acquisition (DDA) strategy, DIA technology avoids the bias of DDA strategy for high-abundance peptide collection and fragmentation, and DIA technology has a significant advantage for the quantification of low-abundance peptides.

Figure 1. A cartoon schematic of how peptides are isolated, fragmented, and analyzed by a mass spectrometer working in DDA, MRM, PRM, or DIA modes. (Hu A., et al., 2016)

What We Offer

Lifeasible provides cutting-edge DIA testing and analysis services for customers around the world, easily testing hundreds of samples with a high-resolution mass spectrometer, and using professional analysis software to generate a spectrum database of DIA data, quality control, and analysis, and provide high accuracy results. You just need to tell us your experimental purpose and send us your cells, and we will be responsible for all the follow-up matters of the project.

Service Flow

Technical Characteristics

High throughput and high depth: not limited by the number of samples, overcome the limitation of the low flux of iTRAQ / TMT, can be used for large-scale sample size detection, less pre-processing operation, make the sample closest to the original state, and is not limited by sample conditions.
Good specificity and high sensitivity: panoramic scanning, there is no omission of data, which greatly improves the detection rate and quantitative accuracy of low abundance protein.
Strict quality control: the repeatability of identification and quantitative results is higher, and the data can be traced back, which ensures the integrity of the data and fewer missing values.

Reference

Hu A., et al. "Technical advances in proteomics: new developments in data-independent acquisition." F1000Res, 2016, 5: F1000 Faculty Rev-419.

The services provided by Lifeasible cover all aspects of plant research, please contact us to find out how we can help you achieve the next research breakthrough.

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