公开(公告)号：US20210388345A1

公开(公告)日：2021-12-16

申请号：US17287202

申请日：2019-10-21

申请人： ROCHE SEQUENCING SOLUTIONS, INC.

发明人： Hanying LI ,  Ken LO ,  Jigar PATEL

IPC分类号： C12N15/10 ,  C07K14/47 ,  G01N33/564

摘要： The present disclosure provides for compositions and methods for identifying peptide classifiers. In one embodiment, a peptide classifier for diagnosing rheumatoid arthritis includes a composition comprising a plurality of molecules. Each molecule comprises a peptide having a sequence selected from SEQ ID NOS: 1-8861, wherein the plurality of molecules defines a classifier for rheumatoid arthritis.

公开(公告)号：US20200309783A1

公开(公告)日：2020-10-01

申请号：US16891385

申请日：2020-06-03

申请人： ROCHE SEQUENCING SOLUTIONS, INC.

发明人： Hanying LI ,  Ken LO ,  Jigar PATEL

IPC分类号： G01N33/68 ,  G01N21/64 ,  G01N33/564

摘要： 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.

公开(公告)号：US20220243360A1

公开(公告)日：2022-08-04

申请号：US17622479

申请日：2020-06-26

申请人： ROCHE SEQUENCING SOLUTIONS, INC.

发明人： Lauren GOODRICH ,  Victor LYAMICHEV ,  Jigar PATEL ,  Richard PINAPATI ,  Eric SULLIVAN ,  Todd RICHMOND

IPC分类号： C40B40/10 ,  G16B35/10 ,  C40B80/00

摘要： The present technology provides an approach to designing libraries of peptide sequences for discovery and testing of significantly more motifs than would be otherwise available in a given fixed library format. The technology includes a plurality of x-mers embedded in N-mer peptides sequences, where N and x are integers and where N is greater than x. This approach provides for the representation of multiple unique x-mer peptides in a single N-mer peptide feature.