The University of Texas System

Alexander Boulgakov

Eric V Anslyn

Andrew D Ellington

Jagannath Swaminathan

Edward M Marcotte

Erik Hernandez

Amber Johnson

James L Bachman

Helen Seifert

Sanchita Bhadra

Raghav Shroff

Edward Marcotte

Jon Laurent

Erhu Xiong

The present disclosure provides methods for molecular neighborhood detection of molecules, such as by iterative proximity ligation or split-and-pool methods for obtaining positional information.

Molecular neighborhood detection by oligonucleotides

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

Alexander Boulgakov