The present description relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present description relates to the immunotherapy of cancer. The present description further 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.

Methods for making a synthetic gene are provided. The methods find use in optimizing a candidate gene nucleic acid sequence for expression in a selected target expression system. The method identifies stable or retained sequences in the candidate gene nucleic acid sequence, identifies disallowed sequences, develops a statistical model based on a whole genome, a partial genome, or transcriptome sequences of the target expression system, generates an optimized candidate gene nucleic acid sequence for use in the target expression system, and makes a synthetic gene comprising the optimized candidate gene nucleic acid sequence. The method allows for optimization of the candidate gene nucleic acid sequence without removing certain stable or retained sequences. Rather, the activity of these sites is positionally modulated or inactivated through upstream and downstream modifications of codons and/or sequence patterns.

Methods and kits for diagnosing and/or treating a lower respiratory infection in a subject include obtaining a biological sample from the subject; detecting RNA expression levels of one or more biomarkers in the biological sample and comparing the expression levels of the one or more three biomarkers to at least one invariant control marker wherein an increase or decrease in the level of expression of the one or more biomarkers as compared to the at least one invariant control marker is indicative of a lower respiratory infection.

Disclosed is a method of designing a valid primer pair satisfying a specificity condition. The method includes searching for an identifier of a base sequence from a genetic information index based on a query language associated with a gene, searching for a candidate primer from a provided candidate primer set index to satisfy the specificity condition based on the identifier of the base sequence, filtering the candidate primer based on primer-related filtering conditions, and providing information about a primer pair satisfying the query language and the filtering conditions based on a result of the filtering.

The present invention relates to methods for the analysis of nucleic acids present in biological samples, and more specifically to normalize a high resolution melt curve to assist in the identification of one or more properties of the nucleic acids. The present invention provides methods and systems that incorporate a background identification algorithm according to invention principles using raw melt curve data to identify reactions that are unrelated actual DNA melt reactions. Furthermore, a web-based application for analyzing experimental data is provided. The raw experimental data obtained from a variety of instruments is processed and analyzed on a server and presented to a user through a user interface (UI).

A stem cell manufacturing system for manufacturing stem cells from somatic cells includes: one or more closed production device(s) configured to produce stem cells from somatic cells; one or more drive device(s) configured to be connected with the production device(s) and drive the production device(s) in such a manner as to maintain the production device(s) in an environment suitable for producing stem cells; one or more cryopreservation device(s) configured to cryopreserve the produced stem cells; a first memory device configured to store whether or not somatic cells have been introduced to the production device(s), as a first state; a second memory device configured to store whether or not the production device(s) is/are connected with the drive device(s), as a second state; and a third memory device configured to store whether or not the produced stem cells can be placed in the cryopreservation device(s), as a third state.

A stem cell manufacturing system for manufacturing stem cells from somatic cells includes: one or more closed production device(s) configured to produce stem cells from somatic cells; one or more drive device(s) configured to be connected with the production device(s) and drive the production device(s) in such a manner as to maintain the production device(s) in an environment suitable for producing stem cells; one or more cryopreservation device(s) configured to cryopreserve the produced stem cells; a first memory device configured to store whether or not somatic cells have been introduced to the production device(s), as a first state; a second memory device configured to store whether or not the production device(s) is/are connected with the drive device(s), as a second state; and a third memory device configured to store whether or not the produced stem cells can be placed in the cryopreservation device(s), as a third state.

The present disclosure provides a method for enriching for multiple genomic regions using a first bait set that selectively hybridizes to a first set of genomic regions of a nucleic acid sample and a second bait set that selectively hybridizes to a second set of genomic regions of the nucleic acid sample. These bait set panels can selectively enrich for one or more nucleosome-associated regions of a genome, said nucleosome-associated regions comprising genomic regions having one or more genomic base positions with differential nucleosomal occupancy, wherein the differential nucleosomal occupancy is characteristic of a cell or tissue type of origin or disease state.

A method of identifying co-expressed coding and noncoding genes is disclosed. The method may include receiving genetic sequences, mapping the genetic sequences to known coding and noncoding genes, correlating the mapped genes, and generating a co-expression network. A system for generating a co-expression network and providing the co-expression network to a user on a display is disclosed. The system may include a memory, one or more processors, one or more databases, and a display.

A genotyping device includes a representative value calculator, a first labeler, a model creator, a second labeler. The representative value calculator calculates a representative value for each of one or more clusters with respect to each of a plurality of SNPs. The representative value being calculated based on signal intensities of specimens included in each of the clusters. The first labeler assigns genotypes to clusters of an SNP pertaining to three clusters among the SNPs on basis of the representative values of the clusters. The model creator creates a model indicative of a relationship between the genotypes of the clusters of the SNP pertaining to the three clusters among the SNPs and the representative values of the clusters. The second labeler assigns genotypes to clusters of an SNP pertaining to one or two clusters among the SNPs on basis of the representative values of the clusters and the model.