Σοφία Κοσσίδα

This study characterizes immunoglobulin loci in two orangutan species using genomic analysis and IMGT-based curation, revealing haplotype-specific variation and conserved regulatory motifs.

The paper analyzes the αβTCR repertoire across 734 mouse samples to uncover patterns in TCR diversity, non-random joining, and clonal expansion.

Ancestra simulates B-cell receptor repertoires with known lineage histories to benchmark clonal grouping and lineage reconstruction methods.

The paper develops a knowledge graph embedding tool for mAb repurposing in oncology, identifying two mAbs for clinical trials.

UnivAIRRse introduces a unified framework to organize and compare AIRR-seq simulators, identifying limitations and providing a tool for dynamic comparison.

This study curates the IGK locus in nine dog breeds, identifies genetic variations, and updates the IMGT(R) database with comprehensive data, enhancing understanding of canine immunogenetics.

The paper introduces new automated and scalable tools for immune locus analysis, enhancing genomic data access, repertoire analysis, and peptide-MHC prediction through FAIR data principles.

The paper identifies engineered Fc variants in therapeutic antibodies and fusion proteins using the IMGT/FcVariantsExplorer tool and integrates the findings into IMGT/mAb-DB.

The paper identifies TCR-V gene usage patterns in T cells sorted by anti-TCR mAbs using single-cell RNAseq and finds enriched ERV1-family LTR expression in specific TRBV regions.

The paper examines T cell changes in mammary glands during pregnancy and lactation, finding an expansion of T effector cells and similarities to intestinal T cells.

The paper analyzes the human IGH locus across 15 genome assemblies to identify novel alleles, copy number variations, and polymorphisms, enhancing the IMGT(R) reference directory.

The paper develops ferret immune repertoire reference resources and assays using long-read transcriptome sequencing and genome annotation.

This study analyzes immunoglobulin loci in four Gorilla gorilla gorilla genome assemblies, revealing variability, copy number variations, and insights into primate immunogenetics.

The paper introduces RobustpMHC, a self-supervised learning method for peptide-MHC class I binding prediction, showing improvements over existing approaches across multiple datasets.

PickPocket predicts ligand-binding pockets for specific ligand families using neural networks, achieving >90% accuracy on fatty acid-like ligands with manually curated data.