Abstract: The present application relates to a computer-implemented method for identifying at least one class of at least one biological image, notably to predict the genomic signature from biological image(s), in particular to predict Homologous Recombination DNA-repair deficiency (HRD) from biological images of tissues. The present application further proposes a computer-implemented method for visualizing clusters of sub-images or tiles of at least one biological image, in particular to predict the phenotypic feature or combination of phenotypic features (or phenotypic patterns) associated with the genomic signature.

Abstract: The invention relates to tissue-imprinting molecular program and the associated T cell progenitors in tumors and draining lymph nodes and their therapeutic application.

Abstract: The invention relates to Interleukin-2 (IL-2) variants for the prevention or treatment of immune disorders, including with no limitations allergic, autoimmune, chronic or acute inflammatory and infectious diseases; graft-versus-host disease; graft rejection and cancer. The invention also relates to the use of said IL-2 variants for the screening of anti-IL-2 antibodies with pro-T-effector or pro-T-regulatory cell activity.

Abstract: Biomarkers and uses thereof in monitoring, assessing, and/or treatment of viral infections, or inflammatory diseases, disorders, or conditions, or cancer.

Abstract: A method for inducing proximity between two biological molecules in a sample, to an assay relying on the induction of proximity between two biological molecules in a sample, and to a proximity inducing system including two polypeptides and a molecular inducer of proximity. Also, a cell or cell line including two biological molecules.

Abstract: The present application relates to a computer-implemented method for identifying at least one class of at least one biological image, notably to predict the genomic signature from biological image(s), in particular to predict Homologous Recombination DNA-repair deficiency (HRD) from biological images of tissues. The present application further proposes a computer-implemented method for visualizing clusters of sub-images or tiles of at least one biological image, in particular to predict the phenotypic feature or combination of phenotypic features (or phenotypic patterns) associated with the genomic signature.

Abstract: The application concerns means for determining the risk of cancer recurrence in a human subject, in particular when the patient has or had therapy against cancer. In particular, the means of the invention involve determining the levels of expression of selected biomarkers, said selected biomarkers being selected among S100A2, LDHB, KRT14, TAGLN, NNMT, FOXQ1, FOSL1, NR2F2, KLF4 and TFCP2L1 in a sample previously obtained from the subject, and identifying the presence of persister cells within the sample when cancer cells express at least one of the selected biomarkers. The means of the invention also involve determining the presence or absence of persister cells, wherein persister cells has a quantity of H3K27me3 lower than a reference level. The invention also relates to method for treating patient who has or had cancer, and for preventing cancer recurrence in a patient who had or has cancer.

Abstract: Provided herein is a method for detecting a tumour that can be applied to cell-free samples, to cell-free detect circulating tumour DNA. The method utilizes detection of adjacent methylation signals within a single sequencing read as the basic positive tumour signal, thereby decreasing false positives. The method comprises extracting DNA from a cell-free sample obtained from a subject, bisulphite converting the DNA, amplifying regions methylated in cancer (CpG islands, CpG shores, and/or CpG shelves), generating sequencing reads, and detecting tumour signals. To increase sensitivity, biased primers designed based on bisulphite converted methylated sequences can be used. Target methylated regions can be selected from a pre-validated set according to the specific aim of the test. Absolute number, proportion, and/or distribution of tumour signals may be used for tumour detection or classification.

Abstract: Provided herein is a method for detecting a tumour that can be applied to cell-free samples, to cell-free detect circulating tumour DNA. The method utilizes detection of adjacent methylation signals within a single sequencing read as the basic positive tumour signal, thereby decreasing false positives. The method comprises extracting DNA from a cell-free sample obtained from a subject, bisulphite converting the DNA, amplifying regions methylated in cancer (CpG islands, CpG shores, and/or CpG shelves), generating sequencing reads, and detecting tumour signals. To increase sensitivity, biased primers designed based on bisulphite converted methylated sequences can be used. Target methylated regions can be selected from a pre-validated set according to the specific aim of the test. Absolute number, proportion, and/or distribution of tumour signals may be used for tumour detection or classification.

Abstract: The present invention relates to a fusion protein comprising a Cas9 domain and a Spo11 domain, as well as the use of this protein to induce targeted meiotic recombinations in a eukaryotic cell.

Abstract: The present application relates to fully humanized anti-FGFR4 single domain antibodies (sdAbs) and variants thereof. The present invention further relates to functionalized drug nanocarriers, nucleic acids, vectors, host cells, immune cells comprising said sdAbs, and compositions comprising thereof, as well as their use for therapy.

Abstract: The present invention relates generally to immunotherapy, in particular immunotherapy for treating cancer, infectious diseases or autoimmune diseases. More specifically, the invention relates to Mucosal-Associated Invariant T (MAIT) cells expressing Chimeric Antigen Receptors (CARs), wherein the MAIT cell is allogenic with respect to the subject to be treated.

Abstract: The present invention relates to a fusion protein comprising a domain of a nuclease from the class II CRISPR system, and a Spoll domain, wherein both domains of the fusion protein have deficient nuclease activity, as well as the use of this protein to induce targeted meiotic recombinations in a eukaryotic cell.

Abstract: Provided herein is a method for detecting a tumour that can be applied to cell-free samples, to cell-free detect circulating tumour DNA. The method utilizes detection of adjacent methylation signals within a single sequencing read as the basic positive tumour signal, thereby decreasing false positives. The method comprises extracting DNA from a cell-free sample obtained from a subject, bisulphite converting the DNA, amplifying regions methylated in cancer (CpG islands, CpG shores, and/or CpG shelves), generating sequencing reads, and detecting tumour signals. To increase sensitivity, biased primers designed based on bisulphite converted methylated sequences can be used. Target methylated regions can be selected from a pre-validated set according to the specific aim of the test. Absolute number, proportion, and/or distribution of tumour signals may be used for tumour detection or classification.

Abstract: Provided herein is a method for detecting a tumour that can be applied to cell-free samples, to cell-free detect circulating tumour DNA. The method utilizes detection of adjacent methylation signals within a single sequencing read as the basic positive tumour signal, thereby decreasing false positives. The method comprises extracting DNA from a cell-free sample obtained from a subject, bisulphite converting the DNA, amplifying regions methylated in cancer (CpG islands, CpG shores, and/or CpG shelves), generating sequencing reads, and detecting tumour signals. To increase sensitivity, biased primers designed based on bisulphite converted methylated sequences can be used. Target methylated regions can be selected from a pre-validated set according to the specific aim of the test. Absolute number, proportion, and/or distribution of tumour signals may be used for tumour detection or classification.

Abstract: A compound of Formula (I): or anyone of its metabolites or a pharmaceutically acceptable salt thereof, for use for treating and/or preventing an inflammatory disease, disorder or condition, wherein each R is independently hydrogen, halogen, —CN, hydroxyl, (C1-C3)fluoroalkyl, (C1-C3)fluoroalkoxy, (C3-C6)cycloalkyl, —NO2, —NR1R2, (C1-C4)alkoxy, phenoxy, —NR1—SO2—NR1R2, —NR1—SO2—R1, —NR1—C(?O)—R1, —NR1—C(?O)—NR1R2, —SO2—NR1R2, —SO3H, —O—SO2—OR3, —O—P(?O)—(OR3)(OR4), —O—CH2—COOR3, (C1-C3)alkyl; each R? is independently hydrogen, (C1-C3)alkyl, hydroxyl, halogen, —NO2, —NR1R2, morpholinyl, morpholino, N-methylpiperazinyl, (C1-C3)fluoroalkyl, (C1-C4)alkoxy, —O—P(?O)—(OR3)(OR4), —CN, a —NH—SO2—N(CH3)2 group, or other groups and further relates to A compound of formula (IV): or a pharmaceutically acceptable salt thereof, for use for treating and/or preventing an inflammatory disease, disorder or condition, wherein V, Z, R, R?, n, and n? are as described above.

Abstract: A method of producing a monomer of a Shiga toxin B-subunit (STxB) protein or of a variant thereof by peptide chemical synthesis, as well as to a method of producing a pentamer of the STxB protein or of the variant thereof. The methods are particularly advantageous as they overcome major issues typically observed in peptide chemical synthesis, including solubility and purity issues.

Abstract: The present disclosure relates to a method for selecting a tumor neoantigenic peptide wherein said method comprises: —a step of identifying, among mRNA sequences from cancer cells of a subject, a fusion transcript sequence comprising a transposable element (TE) sequence and an exonic sequence, and including an open reading frame (ORF), and—a step of selecting a tumor neoantigenic peptide of at least 8 amino acids, encoded by a part of said ORF of the fusion transcript sequence, wherein said ORF overlaps the junction between the TE and the exonic sequence, is pure TE and/or is non-canonical, and wherein said tumor neoantigenic peptide binds to at least one Major Histocompatibility Complex (MHC) molecule of said subject. The present disclosure also relates to tumor neoantigenic peptide obtained according to the present method, vaccine or immunogenic composition, antibodies and immune cells derived thereof and their use in therapy of cancer.

Abstract: A compound of formula (I) is: wherein: X2 represents a —CO—NRk— group, a —NR?k—CO— group, a —O— group, a —CO— group, a —SO2-group, a —CS—NH— group, a —CH2—NH—, a group, or a heterocyclyl, wherein the heterocyclyl is a 5- or 6-membered ring comprising 1, 2, 3 or 4 heteroatoms selected from O, S and/or N; Y2 represents a hydrogen atom, a halogen atom, a hydroxyl group, a morpholinyl group, optionally substituted by a (C1-C4)alkyl group or a trifluoromethyl group, a bridged morpholinyl group, a (C5-C11)bicycloalkyl group, an adamantyl group, a piperidinyl group, a (C1-C4)alkenyl group, a —PO(ORa)(ORb) group, a 5-membered heteroaromatic ring or a —CR1R2R3 group, or any of its pharmaceutically acceptable salt.

Abstract: A method for identifying cognate pairs of a ligand species and a receptor species includes co-compartmentalizing ligand species and receptor species, forming a set of microreactors, each microreactor including a ligand species and preferably a receptor species; assaying the recognition between ligands and receptors in each microreactor and based on this assay, classifying each microreactor as positive when a ligand species and receptor species in the microreactor recognize one with the other or negative when no ligand species and no receptor species recognize in the microreactor; identifying ligand species and receptor species contained in each positive microreactor; establishing a subset of positive microreactors containing the same receptor species; determining the probability that the ligand species recognizing the receptor species corresponds to the most frequent co-compartmentalized ligand species.