Our website does not fully support your browser.

We've detected that you are using an older version of Internet Explorer. Your commerce experience may be limited. Please update your browser to Internet Explorer 11 or above.

Product Availability Update

Promega Manufacturing and Delivery Systems continue to be fully operational during the COVID-19 outbreak. Our teams are in regular contact with suppliers and distributors worldwide to manage inventory of raw materials to ensure continued availability. Due to rigorous operations processes and dedicated teams, Promega is addressing both demands for COVID-19 diagnostic tools and reliable delivery of all Promega products as quickly as possible. As this global situation evolves, we will take all steps necessary to continue providing our customers with high quality products, information and support. Learn more about COVID-19 products and support here.

We believe this site might serve you best:

United States

United States

Language: English

Promega's Cookie Policy

Our website uses functional cookies that do not collect any personal information or track your browsing activity. When you select your country, you agree that we can place these functional cookies on your device.

Increased De Novo Protein Sequencing Coverage with Optimal Protease Cocktail

Part # PS343


Thierry Le Bihan1, Paul Taylor1, Zac McDonald1, Qixin Liu1, Jianqiao Shen1, Kathleen Gorospe1, Xin Xu1, Chris Hosfield2, Bin Ma1,3
1Rapid Novor Inc, Kitchener; 2Promega Corporation, Madison, WI; 3University of Waterloo, Waterloo

Sample preparation for complete LC-MS/MS sequencing of a pure protein sample differs substantially from the preparation used for protein identification in complex samples. To sequence a protein de novo, the experimental design should aim to identify each amino acid (a.a.) multiple times within different peptides, instead of relying on only a few peptides per protein for complex protein mixtures. Efforts to increase protein sequence coverage typically rely on using multiple proteases to digest the protein. In this study, we conducted a large-scale statistical analysis of protein sequencing data from samples digested with multiple proteases to understand the impact of using different combinations of proteases to improve the depth of sequence coverage in the application of de novo protein sequencing. The data presented here can help guide the choice of proteases for maximum coverage during protein sequencing.

Printed in USA.