Arizona State University

The University of Texas System

Other

Cornell Research Foundation Inc.

Auburn University

Duke University

E.i. Dupont De Nemours and Company

Calviri, Inc.

Cornell University

Colorado State University Research Foundation

Arizona Board of Regents, a Body Corporate

State of Oregon

Whittemore Peterson Institute

Stephen Albert Johnston

John C Sanford

Kathryn F Sykes

Phillip Stafford

Neal W T Woodbury

Chris Diehnelt

Bernhard Kaltenboeck

Katherine Stemke-Hale

Valeriy Domenyuk

Luhui Shen

Christopher W Diehnelt

Michael J McGuire

Nidhi Gupta

Wayne C Lai

Michael A Barry

Lu Wang

Bao-Xi Qu

Charles Joel Arntzen

Hao Yan

Thomas Kodadek

John C Chaput

Matthew Paul Greving

R Sanders Williams

Vincent C Lombardi

Douglas Thamm

Ronald Frank Bruner

William G Dougherty

Zhan Gong Zhao

Pamela Hall

Roger N Rosenberg

Joseph Legutki

David A Fancy

Sandra G McElligott

Zhan-Gong Zhao

Michael J DeVit

Joseph Barten Legutki

Neal Woodbury

Muskan Kukreja

Philip Stafford

Chris W Diehnelt

Provided herein are methods for classifying how a subject having a cancer will respond to immunotherapeutic (IT) therapy based on the subject's immunosignature or frameshift signature. Also provided herein are methods for classifying a subject having a cancer as having a good prognosis or a poor prognosis based on the subject's immunosignature or frameshift signature.

Methods of classifying response to immunotherapy for cancer

Provided herein, are methods of identifying neoantigens for treating and preventing cancer. Also disclosed are methods and compositions for administering identified neoantigens for the treatment and prevention of cancer.

Methods and compositions for identifying neoantigens for use in treating cancer

Methods and compositions for identifying neoantigens for use in treating and preventing cancer

Provided herein, are methods of treating cancer in dogs using personalized cancer vaccines comprising peptides having frameshift mutations caused by errors in transcription and splicing of an mRNA.

Method to create personalized canine cancer vaccines

Assays, arrays, and methods for distinguishing a bacterial infection from a viral infection are disclosed. The antibiotic crisis is in part driven by over prescription of antibiotics. There is a tendency, particular in pediatrics, to give an antibiotic even for viral infections. Thus, embodiments herein are directed to the problem of distinguishing a bacterial infection from a viral infection to reduce unnecessary antibiotic usage.

Diagnostic to distinguish bacterial infections

Compositions, methods, systems, apparatus and/or articles of manufacture are disclosed for reducing the susceptibility of a population and/or members thereof to cancer, which may include anti-cancer vaccines, components thereof which may include novopeptides, and methods relating thereto.

Identification and use of novopeptides for the treatment of cancer

The present application provides arrays for use in immunosignaturing and quality control of such arrays. Also disclosed are peptide arrays and uses thereof for diagnostics, therapeutics and research.

Peptide array quality control

Methods for antibody profiling and epitope mapping are provided herein. More particularly, methods for screening and mapping epitopes of candidate antibodies and protein target identification are provided herein.

Systems and methods of epitope binning and antibody profiling

The invention provides arrays of compound for use in profiling samples. The arrays include compounds bind to components of the samples at relatively low affinities. The avidity of compounds binding to components of the samples can be increased by forming arrays such that multivalent components of the samples (e.g., antibodies or cells) can bind to more than one molecule of a compound at the same time. When a sample is applied to an array under such conditions, the compounds of the array bind to component(s) of the sample with significantly different avidities generating a profile characteristic of the sample.

Compound arrays for sample profiling

Described herein are methods and devices for diagnosing chronic fatigue syndrome using peptide arrays, and providing a prognosis to patients.

Diagnosis and prognosis for chronic fatigue syndrome

Provided herein are compounds and compositions having antibiotic activity against methicillin resistant(MRSA). In particular, provided herein is a synbody that bactericidal against multiple strains of MRSA and that can be used in conjugation with currently approved &#x3b2;-lactam antibiotics to treat MRSA strains having resistance to &#x3b2;-lactam treatment. Also provided are methods of using the compounds and compositions for treating, preventing or reducing MRSA infections.

Compositions and methods for treating MRSA infections and for sensitizing MRSA to beta-lactam antibiotics

Methods for diagnosing and characterizing lymphoma, as well as evaluating the disease-free interval following treatment, utilizing patient antibodies bound to peptide microarrays in comparison to an immunosignature characteristic of a lymphoma state or a non-lymphoma state. Characterization includes subtyping of lymphoma utilizing an immunosignature characteristic of a B-cell or T-cell lymphoma.

Immunosignature based diagnosis and characterization of canine lymphoma

Growing community of inventors

Temple, AZ, United States of America

Stephen Albert Johnston