The present disclosure provides methods of processing or analyzing a sample. A method for processing a sample may comprise hybridizing a probe molecule to a target region of a nucleic acid molecule (e.g., a ribonucleic acid (RNA) molecule), barcoding the probe-nucleic acid molecule complex, and performing extension, denaturation, and amplification processes. A method for processing a sample may comprise hybridizing first and second probes to adjacent or non-adjacent target regions of a nucleic acid molecule (e.g., an RNA molecule), linking the first and second probes to provide a probe-linked nucleic acid molecule, and barcoding the probe-linked nucleic acid molecule. One or more processes of the methods described herein may be performed within a partition, such as a droplet or well. One or more processes of the methods described herein may be performed on a cell, such as a permeabilized cell.

The present invention relates to a method of predicting the response of of type 1 diabetes patients to the treatment with an immunogenic peptide comprising an MHCII T cell epitope of insulin and an oxidoreductase motif, said method comprising determining the MHC class II HLA haplotype of the patient.

Disclosed are methods of isolating a TCR having antigenic specificity for a mutated amino acid sequence encoded by a cancer-specific mutation, the method comprising: identifying one or more genes in the nucleic acid of a cancer cell of a patient, each gene containing a cancer-specific mutation that encodes a mutated amino acid sequence; inducing autologous APCs of the patient to present the mutated amino acid sequence; co-culturing autologous T cells of the patient with the autologous APCs that present the mutated amino acid sequence; selecting the autologous T cells; and isolating a nucleotide sequence that encodes the TCR from the selected autologous T cells, wherein the TCR has antigenic specificity for the mutated amino acid sequence encoded by the cancer-specific mutation. Also disclosed are related methods of preparing a population of cells, populations of cells, TCRs, pharmaceutical compositions, and methods of treating or preventing cancer.

A method of treating a patient who has hepatocellular carcinoma (HCC), colorectal carcinoma (CRC), glioblastoma (GB), gastric cancer (GC), esophageal cancer, NSCLC, pancreatic cancer (PC), renal cell carcinoma (RCC), benign prostate hyperplasia (BPH), prostate cancer (PCA), ovarian cancer (OC), melanoma, breast cancer (BRCA), CLL, Merkel cell carcinoma (MCC), SCLC, Non-Hodgkin lymphoma (NHL), AML, gallbladder cancer and cholangiocarcinoma (GBC, CCC), urinary bladder cancer (UBC), and uterine cancer (UEC) includes administering to said patient a composition containing a population of activated T cells that selectively recognize cells in the patient that aberrantly express a peptide. A pharmaceutical composition contains activated T cells that selectively recognize cells in a patient that aberrantly express a peptide, and a pharmaceutically acceptable carrier, in which the T cells bind to the peptide in a complex with an MHC class I molecule, and the composition is for treating the patient who has HCC, CRC, GB, GC, esophageal cancer, NSCLC, PC, RCC, BPH, PCA, OC, melanoma, BRCA, CLL, MCC, SCLC, NHL, AML, GBC, CCC, UBC, and/or UEC. A method of treating a patient who has HCC, CRC, GB, GC, esophageal cancer, NSCLC, PC, RCC, BPH, PCA, OC, melanoma, BRCA, CLL, MCC, SCLC, NHL, AML, GBC, CCC, UBC, and/or UEC includes administering to said patient a composition comprising a peptide in the form of a pharmaceutically acceptable salt, thereby inducing a T-cell response to the HCC, CRC, GB, GC, esophageal cancer, NSCLC, PC, RCC, BPH, PCA, OC, melanoma, BRCA, CLL, MCC, SCLC, NHL, AML, GBC, CCC, UBC, and/or UEC.

There is provided herein, the use of mammalian derived HLA class I molecule for in vitro peptide exchange. For example, there is provided a method of producing an HLA class I molecule complexed to a pre-selected peptide comprising: (a) providing a mammalian derived HLA class I molecule complexed to an existing peptide; (b) incubating, in vitro, the HLA class I molecule complexed to the existing peptide with the pre-selected peptide, wherein the pre-selected peptide is at a concentration sufficient to replace the existing peptide to produce the HLA class I molecule complexed to the pre-selected peptide; and the HLA class I molecule comprises α1, α2, α3 and β2m domains.

A technique, called the Coupling Assay for T-cell Specificity (CATS), to identify antigen-specific cells using cell lines expressing MHC II molecules with tethered peptides. CATS successfully identified antigen-specific T cells with a low-affinity peptide, while tetramer failed to identify cells with this same peptide. Increasing avidity on artificial antigen presenting cells can overcome low affinity TCR-pMHC interactions, can identify more responding endogenous populations, and may be specific for the MHCII.

The instant invention provides soluble fusion protein complexes and IL-15 variants that have therapeutic and diagnostic use, and methods for making the proteins. The instant invention additionally provides methods of stimulating or suppressing immune responses in a mammal using the fusion protein complexes and IL-15 variants of the invention.

A process of identifying a plurality of biological samples having particular desired attributes by testing pooled samples and selecting, for intended uses such as transfusion, or for subsequent analysis that is thereby enriched for such samples, pooled samples which have, or may have, said desired attributes. The preferred number of samples per pool “d” is determined by selecting an integer value as d which produces the maximum or a value near the maximum of the product of: d times the expected number of unambiguous sample pools, where a sample pool is unambiguous if all of the samples have the desired attributes, and is otherwise ambiguous if at least one sample has the desired attributes. The value selected as d can be greater than the maximum product above, so as to enlarge the total number of samples assayed in determining the desired attributes.

A system for selecting an immunogenic peptide composition comprising a processor and a memory storing processor-executable instructions that, when executed by the processor, cause the processor to create a first peptide set by selecting a plurality of base peptides, wherein at least one peptide of the plurality of base peptides is associated with a disease, create a second peptide set by adding to the first peptide set a modified peptide, wherein the modified peptide comprises a substitution of at least one residue of a base peptide selected from the plurality of base peptides, and create a third peptide set by selecting a subset of the second peptide set, wherein the selected subset of the second peptide set has a predicted vaccine performance, wherein the predicted vaccine performance has a population coverage above a predetermined threshold, and wherein the subset comprises at least one peptide of the second peptide set.

A method for identifying neoantigens that are likely to be presented on a surface of tumor cells of a subject. Peptide sequences of tumor neoantigens are obtained by sequencing the tumor cells of the subject. The peptide sequence of each of the neoantigens is associated with one or more k-mer blocks of a plurality of k-mer blocks of the nucleotide sequencing data of the subject; The peptide sequences and the associated k-mer blocks are input into a machine-learned presentation model to generate presentation likelihoods for the tumor neoantigens, each presentation likelihood representing the likelihood that a neoantigen is presented by an MHC allele on the surfaces of the tumor cells of the subject. A subset of the neoantigens is selected based on the presentation likelihoods.