Abstract:
Provided herein are methods of measuring immune health in a subject. In some embodiments, methods herein comprise, obtaining an immunological measurement from a biological sample from the subject, wherein the immunological measurement comprises antibody-peptide binding. Also provided are computer-implemented methods of predicting immune health, including computer-implemented machine learning algorithms useful in such predictions.
Abstract:
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.
Abstract:
Provided herein are methods, assays and devices for the detection and diagnosis of autoimmune diseases, including systemic lupus erythematosus. The methods, assays and devices provided herein analyzes binding patterns of peripheral-blood antibodies on peptide array that correlates well with current systemic lupus erythematosus clinical assessment standards.
Abstract:
Provided herein are methods, assays and devices for the differential diagnosis and detection of disease progression of autoimmune diseases. The methods, assays and devices provided herein produce and analyze binding patterns of peripheral-blood antibodies on mimetic peptide arrays that differentiate autoimmune diseases, and identify patients progressing to internal organ complications such as interstitial lung disease (ILD), and gastric antral vascular ectasia (GAVE), or renal involvement.
Abstract:
The disclosed embodiments concern methods, devices, and systems for identifying candidate biomarkers useful for the diagnosis, prognosis, monitoring and screening and/or as targets for the treatment of diseases and conditions in subjects, in particular autoimmune and infectious diseases. The identification of candidate biomarkers is predicated on identifying discriminating peptides present on a peptide array, which can distinguish samples from different subjects having different health conditions by the binding patterns of antibodies present in the samples.
Abstract:
The disclosed embodiments concern non-invasive methods, and apparatus, and systems for identifying infections. The methods are predicated on identifying discriminating peptides present on a peptide array, which are differentially bound by the different mixtures of antibodies present in samples from subjects consequent to an infection relative to binding of mixtures of antibodies present in reference subjects.
Abstract:
Provided herein are methods, chemical library and simulation system for performing in situ patterned chemistry. Methods, systems and assays comprising the use of the synthesized chemical libraries, which increase explored protein space in a knowledge-based manner, are also provided for characterizing antibody-target interactions including: identifying target proteins of antibodies, characterizing antibody-binding regions in target proteins, identifying linear and structural epitopes in target proteins, and determining the propensity of antibody binding to target proteins.
Abstract:
Provided herein are molecules and salts thereof, arrays containing molecules and salts thereof, solid supports containing molecules and salts thereof, kits containing molecules or salts thereof, and methods of determining alignment of photolithographic masks comprising molecules or salts thereof.