Abstract: The present application describes a computer-implemented method for identifying target-specific T cells and their T cell Receptor (TCR) sequences. The method includes deriving single cell T cell data from a sample. The data comprises T cell profile and T cell TCR sequence. The method also includes selecting candidate T cells and their TCR sequences from the single cell T cell data using a machine learning classifier that is trained to classify T cells based on their profiles. The method may also include aggregating results over clonotypes, adding T cells with similar TCR sequences and ranking the list of candidates.

Abstract: The invention relates to a method for analysing ribonucleic acid (RNA) interactions comprising: a) cross-linking base-paired nucleotides of at least one RNA molecule and/or at least one pair of RNA molecules using a tagged, reversible cross-linking agent (preferably tagged-psoralen) under ultraviolet irradiation; b) fragmenting the said cross-linked RNA molecule(s); c) using said tag to extract said cross-linked RNA fragment(s); d) ligating the said cross-linked RNA fragment(s) to produce cross-linked ligated RNA chimera(s); e) reversing the cross-linking of the said agent to the said RNA molecule(s); f) preparing a sequence library by sequencing the ligated RNA chimera molecule(s) or pair(s); and g) analysing the sequence library to determine RNA interactions. Also disclosed is a method of studying a subject by analysing RNA interactions and attributing them to a clinical picture, or a drug discovery method by attributing an efficacy score to the drug based upon determined RNA interactions.

Abstract: The invention relates to a method for analysing ribonucleic acid (RNA) interactions comprising: a) cross-linking base-paired nucleotides of at least one RNA molecule and/or at least one pair of RNA molecules using a tagged, reversible cross-linking agent (preferably tagged-psoralen) under ultraviolet irradiation; b) fragmenting the said cross-linked RNA molecule(s); c) using said tag to extract said cross-linked RNA fragment(s); d) ligating the said cross-linked RNA fragment(s) to produce cross-linked ligated RNA chimera(s); e) reversing the cross-linking of the said agent to the said RNA molecule(s); f) preparing a sequence library by sequencing the ligated RNA chimera molecule(s) or pair(s); and g) analysing the sequence library to determine RNA interactions. Also disclosed is a method of studying a subject by analysing RNA interactions and attributing them to a clinical picture, or a drug discovery method by attributing an efficacy score to the drug based upon determined RNA interactions.