Identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level is an unmet challenge in the field of protein sequencing. Herein are methods for identifying amino acids in peptides, including peptides comprising unnatural amino acids. In one embodiment, the N-terminal amino acid is labeled with a first label and an internal amino acid is labeled with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

Methods and devices for preparing target molecules (e.g., target nucleic acids or target proteins) from a biological sample are provided herein. In some embodiments, methods and devices involve sample lysis, sample fragmentation, enrichment of target molecule(s), and/or functionalization of target molecule(s).

Methods for nanopore-based protein analysis are provided. The methods address the characterization of a target protein analyte, which has a dimension greater than an internal diameter of the nanopore tunnel, and which is also physically associated with a polymer. The methods further comprise applying an electrical potential to the nanopore system to cause the polymer to interact with the nanopore tunnel. The ion current through the nanopore is measured to provide a current pattern reflective of the structure of the portion of the polymer interacting with the nanopore tunnel. This is used as a metric for characterizing the associated protein that does not pass through the nanopore.

The present invention provides methods and systems for identifying and classifying patterns comprising the T cell exposed motifs and the frequencies of such motifs in collections of proteins that make up the human proteome, immunoglobulinome, T cell receptor repertoire or microbiome, and other proteomes of environmental of microbial origin, or subsets thereof. It further provides graphical representations that facilitate comparisons of T cell exposed motif patterns between samples or between time points. The present invention also provides methods and systems for identifying and classifying patterns in repertoires of cells including receptor bearing cells and cells of tissue samples and detecting patterns of utility in diagnosis and monitoring of health and disease.

Disclosed are nanofluidic analytical devices. The devices employ a sample processing region that includes a plurality of fluidically connected sample handling elements that, in combination, affect a physical change on a sample introduced into the sample processing region. This physical change can include, for example, purification of an analyte of interest present in the sample, concentration of an analyte of interest present in the sample, chemical modification (e.g., cleavage and/or chemical derivatization) of an analyte of interest present in the sample, or a combination thereof. The analytical devices further include a nanochannel comprising a plurality of in-plane nanopores in series fluidically coupled to the sample processing region. The in-plane nanopores can be used to detect and/or analyze analyte(s) present in the sample following processing by the sample processing region. These analytical devices can advantageously provide for the label-free detection of single molecules.

The disclosure provides methods for determining the biosimilarity of a test protein in relation to a target biologic in which the test protein is digested by two distinct proteases, the resultant digested peptide fragments are analyzed by column chromatography-tandem mass spectrometry to achieve 100% of the amino acid sequence coverage and 100% amino acid sequence accuracy of the test protein.

The application relates to proteome analysis in single cells. Specifically, disclosed are high throughput methods of detecting proteins in single cells using barcoding, aptamers and single cell sequencing. Solid supports used in recording the cell-of-origin of target proteins and target proteins expressed in the cell-of-origin are disclosed. Additionally, methods of detecting proteins and mRNA in single cells are disclosed. Additionally, methods of detecting protein interactions are disclosed. Additionally, methods of detecting post translationally modified proteins in single cells are disclosed. The application also relates to solid supports or beads and methods of producing said solid supports or beads for use in the described methods.

Devices for detecting at least one target molecule in a sample are provided. The devices comprise a field-effect transistor and an aptamer attached to the field-effect transistor. The aptamer comprises a capture region and a stem region, wherein the target molecule can selectively bind to the capture region of the aptamer. The stem region can change a conformation of the aptamer when the capture region binds to the target molecule. Techniques for detecting a target molecule using such devices are also provided.

The application relates to methods and systems for proteomics and spatial mapping of biomolecules using a next generation sequencing readout to decipher biomolecular and cellular interaction networks. Specifically, disclosed are antenna networks generated by conjugating DNA antennas to proteins. The antennas carry a unique antenna identifier (UAI) sequence that can provide spatial location of the network, as well as biomolecules by transfer of the UAI to reporter oligonucleotides associated with other antennas and biomolecules. The methods and systems are also applicable to single cells.