Described herein are systems and methods for analyzing biological samples. Including a method for processing an analyte, comprising providing a fluidic device comprising the analyte and one or more polymer precursors; selecting a discrete area within said fluidic device; providing an energy source in optical communication with fluidic device; and selectively supplying a unit of energy generated from the energy source to the fluidic device to generate a polymer matrix within the fluidic device, wherein the polymer matrix is within the discrete area or adjacent to the discrete area.

The purpose of the present invention is to provide: a method for evaluating various physical conditions accurately; a method for presenting information utilizing the aforementioned method; and a method of screening for a substance capable of improving or preventing physical conditions. A method for evaluating a physical condition of a subject comprises the steps of: determining the value of an abundance of a skin flora, which is collected from the surface of the skin of the subject, on the surface of the skin or the value of a parameter calculated on the basis of the abundance, wherein the reference values for the correlation between the abundance or the parameter with the physical condition has been produced; and then comparing the value with the reference values.

Provided herein are methods and systems for proteome analysis that are at least partially automated and/or performed robotically. In some aspects, the methods and systems described herein can rapidly and efficiently provide protein identification of each of the proteins from a proteome, or a complement of proteins, obtained from extremely small amounts of biological samples. The identified proteins can be imaged quantitatively over a spatial region. Automation and robotics facilitates the throughput of the methods and systems, which enables protein imaging and/or rapid proteome analysis.

The present invention provides compositions and methods that can be used to determine a peptide signature for an antibody repertoire in a sample comprising multiple antibodies. The method can be used to characterize a phenotype in a sample, such as providing a diagnosis, prognosis or theranosis of a medical condition.

Described herein are methods for identifying mitochondrial defects using metabolomics and genetic analyses and using this information to stratify patients and to correct for metabolic defects in a precision medicine approach. One embodiment is a method for isolating and analyzing samples containing one or more mitochondrial biomarker metabolites or genetic markers useful for the analysis, identification, stratification or classification, and treatment of metabolic changes associated with a CNS or neuropsychiatric disease in a subject and therapies useful for the treatment thereof. In one aspect, the biomarker metabolites comprise mitochondrial metabolites including acylcarnitines and endocannabinoids and the genetic analyses focus on metabolic enzymes or transport mechanisms.

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

The present invention provides compositions and methods that can be used to determine a peptide signature for an antibody repertoire in a sample comprising multiple antibodies. The method can be used to characterize a phenotype in a sample, such as providing a diagnosis, prognosis or theranosis of a medical condition.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure relates to methods and kits for the diagnosis and treatment of autism spectrum disorder (ASD) in human subjects. The disclosure also relates to computer-implemented methods for diagnosing and treating ASD. Current diagnostic protocols are mainly limited to behavioural examination as laboratory findings have been consistently abnormal in ASD. No currently reported biomarker holds promise as early developmental screen or an early diagnostic or prognostic tool for pediatric settings at young ages from birth through early childhood when these clinical tools are most needed. With the present disclosure, metabolomic profiles, protein profiles and combinations thereof for ASD are identified in the subject having ASD.

Disclosed herein, inter alia, are compositions and methods of use thereof for interrogating a cell.