University of Texas System

Helen Seifert

Andrew D Ellington

Eric V Anslyn

Edward M Marcotte

Jagannath Swaminathan

Alexander Boulgakov

Amber Johnson

Erik Hernandez

James L Bachman

Edward Marcotte

The disclosure concerns methods for identifying amino acids in peptides, including peptides including unnatural amino acids. Various aspects of the present disclosure provide compositions and methods for amino acid-type specific labeling, as well as methods for detecting the labels. Further disclosed herein are strategies for highly multiplexed, high-throughput peptide analysis.

Single molecule peptide sequencing

Identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level is an unmet challenge in the field of protein sequencing. Herein are methods for identifying amino acids in peptides, including peptides with one or more unnatural amino acids. In one embodiment, the N-terminal amino acid is labeled with a first label and an internal amino acid is labeled with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.

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Austin, TX, United States of America

Helen Seifert