Roche Sequencing Solutions, Inc.

Roche Diagnostics Gmbh

F. Hoffmann-la Roche Ag

Ken Lo

Jigar Patel

Hanying Li

Ryan Bannen

Lauren Goodrich

The present invention provides a method for identifying a synthetic classifier including contacting at least a first and second samples derived from different groups of a cohort with a first plurality of peptides. The first plurality of peptides includes a first subset of peptides defining at least one naturally occurring amino acid sequence, and a second subset of peptides defining a plurality of variants of the first subset of peptides. The plurality of variants includes, for each one of the first subset of peptides, a variant peptide having at least one of a substitution, a deletion, an insertion, an extension, and a modification. The method further includes selecting at least one of the plurality of variants from the second subset of peptides, and defining a synthetic classifier including the at least one of the plurality of variants that distinguishes between samples derived from the first and second cohorts.

System and method for identification of a synthetic classifer

System and method for identification of a synthetic classifier

The present disclosure provides a method of identifying a peptide antigen, including contacting an antibody-comprising composition to a peptide microarray having an array surface and a plurality of feature pairs disposed thereon. Each of the feature pairs includes a first feature of wild-type peptides having a defined sequence and a second feature of mutant peptides having the defined sequence with a single amino acid mutation. Each of the wild-type peptides and the mutant peptides has an array-coupled terminus coupled to the array surface and an opposing free terminus, and the position of the amino acid mutation in the mutant peptides is located closer to the array-coupled terminus of the mutant peptides than the free terminus. The method further includes detecting binding of an antibody in the antibody-comprising composition to at least one of the feature pairs on the peptide microarray, and identifying feature pairs exhibiting differential binding.

Detection of neoantigens using peptide arrays

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Madison, WI, United States of America

Ken Lo