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Dive into the research topics where Sofia Kossida is active.

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Featured researches published by Sofia Kossida.


Nucleic Acids Research | 2015

IMGT®, the international ImMunoGeneTics information system® 25 years on

Marie-Paule Lefranc; Véronique Giudicelli; Patrice Duroux; Joumana Jabado-Michaloud; Géraldine Folch; Safa Aouinti; Emilie Carillon; Hugo Duvergey; Amélie Houles; Typhaine Paysan-Lafosse; Saida Hadi-Saljoqi; Souphatta Sasorith; Gérard Lefranc; Sofia Kossida

IMGT®, the international ImMunoGeneTics information system®(http://www.imgt.org) is the global reference in immunogenetics and immunoinformatics. By its creation in 1989 by Marie-Paule Lefranc (Université de Montpellier and CNRS), IMGT® marked the advent of immunoinformatics, which emerged at the interface between immunogenetics and bioinformatics. IMGT® is specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility (MH) and proteins of the IgSF and MhSF superfamilies. IMGT® is built on the IMGT-ONTOLOGY axioms and concepts, which bridged the gap between genes, sequences and 3D structures. The concepts include the IMGT® standardized keywords (identification), IMGT® standardized labels (description), IMGT® standardized nomenclature (classification), IMGT unique numbering and IMGT Colliers de Perles (numerotation). IMGT® comprises 7 databases, 17 online tools and 15 000 pages of web resources, and provides a high-quality and integrated system for analysis of the genomic and expressed IG and TR repertoire of the adaptive immune responses, including NGS high-throughput data. Tools and databases are used in basic, veterinary and medical research, in clinical applications (mutation analysis in leukemia and lymphoma) and in antibody engineering and humanization. The IMGT/mAb-DB interface was developed for therapeutic antibodies and fusion proteins for immunological applications (FPIA). IMGT® is freely available at http://www.imgt.org.


Frontiers in Immunology | 2016

IMGT/StatClonotype for Pairwise Evaluation and Visualization of NGS IG and TR IMGT Clonotype (AA) Diversity or Expression from IMGT/HighV-QUEST

Safa Aouinti; Véronique Giudicelli; Patrice Duroux; Dhafer Malouche; Sofia Kossida; Marie-Paule Lefranc

There is a huge need for standardized analysis and statistical procedures in order to compare the complex immune repertoires of antigen receptors immunoglobulins (IG) and T cell receptors (TR) obtained by next generation sequencing (NGS). NGS technologies generate millions of nucleotide sequences and have led to the development of new tools. The IMGT/HighV-QUEST, available since 2010, is the first global web portal for the analysis of IG and TR high throughput sequences. IMGT/HighV-QUEST provides standardized outputs for the characterization of the “IMGT clonotype (AA)” (AA for amino acids) and their comparison in up to one million sequences. Standardized statistical procedures for “IMGT clonotype (AA)” diversity or expression comparisons have recently been described, however, no tool was yet available. IMGT/StatClonotype, a new IMGT® tool, evaluates and visualizes statistical significance of pairwise comparisons of IMGT clonotype (AA) diversity or expression, per V (variable), D (diversity), and J (joining) gene of a given IG or TR group, from NGS IMGT/HighV-QUEST statistical output. IMGT/StatClonotype tool is incorporated in the R package “IMGTStatClonotype,” with a user-friendly interface. IMGT/StatClonotype is downloadable at IMGT®1 for users to evaluate pairwise comparison of IG and TR NGS statistical output from IMGT/HighV-QUEST and to visualize, on their web browser, the statistical significance of IMGT clonotype (AA) diversity or expression, per gene, the comparative analysis of CDR-IMGT and the V–D–J associations, in immunoprofiles from normal or pathological immune responses.


bioinformatics and bioengineering | 2008

An enhanced Markov clustering method for detecting protein complexes

Charalampos N. Moschopoulos; Georgios A. Pavlopoulos; Spiridon D. Likothanassis; Sofia Kossida

With the recent high-throughput methods, large datasets of experimentally detected pairwise protein-protein interactions are generated. However, these data suffer from noise, reducing the quality of the information they bring (identification of protein complexes). This paper introduces a novel methodology for detecting protein complexes in a protein-protein interaction graph. Our method initially uses the Markov clustering algorithm and then filters the derived results in order to obtain the best set of clusters that represent protein complexes. The efficiency of our method is shown in experimental results derived from 7 different yeast protein interaction datasets. Moreover, comparisons with 4 other algorithms are performed proving that our method predicts known protein complexes, recorded in the MIPS database, more accurately.


PLOS ONE | 2015

Correction: IMGT/HighV-QUEST Statistical Significance of IMGT Clonotype (AA) Diversity per Gene for Standardized Comparisons of Next Generation Sequencing Immunoprofiles of Immunoglobulins and T Cell Receptors

Safa Aouinti; Dhafer Malouche; Véronique Giudicelli; Sofia Kossida; Marie-Paule Lefranc

The adaptive immune responses of humans and of other jawed vertebrate species (gnasthostomata) are characterized by the B and T cells and their specific antigen receptors, the immunoglobulins (IG) or antibodies and the T cell receptors (TR) (up to 2.1012 different IG and TR per individual). IMGT, the international ImMunoGeneTics information system (http://www.imgt.org), was created in 1989 by Marie-Paule Lefranc (Montpellier University and CNRS) to manage the huge and complex diversity of these antigen receptors. IMGT built on IMGT-ONTOLOGY concepts of identification (keywords), description (labels), classification (gene and allele nomenclature) and numerotation (IMGT unique numbering), is at the origin of immunoinformatics, a science at the interface between immunogenetics and bioinformatics. IMGT/HighV-QUEST, the first web portal, and so far the only one, for the next generation sequencing (NGS) analysis of IG and TR, is the paradigm for immune repertoire standardized outputs and immunoprofiles of the adaptive immune responses. It provides the identification of the variable (V), diversity (D) and joining (J) genes and alleles, analysis of the V-(D)-J junction and complementarity determining region 3 (CDR3) and the characterization of the ‘IMGT clonotype (AA)’ (AA for amino acid) diversity and expression. IMGT/HighV-QUEST compares outputs of different batches, up to one million nucleotide sequencesfor the statistical module. These high throughput IG and TR repertoire immunoprofiles are of prime importance in vaccination, cancer, infectious diseases, autoimmunity and lymphoproliferative disorders, however their comparative statistical analysis still remains a challenge. We present a standardized statistical procedure to analyze IMGT/HighV-QUEST outputs for the evaluation of the significance of the IMGT clonotype (AA) diversity differences in proportions, per gene of a given group, between NGS IG and TR repertoire immunoprofiles. The procedure is generic and suitable for evaluating significance of the IMGT clonotype (AA) diversity and expression per gene, and for any IG and TR immunoprofiles of any species.


Journal of Biomedical Informatics | 2009

Proteomic Feature Maps: A new visualization approach in proteomics analysis

Eugenia G. Giannopoulou; Spiros D. Garbis; Antonia Vlahou; Sofia Kossida; George Lepouras; Elias S. Manolakos

The different steps of a proteomics analysis workflow generate a plethora of features for each extracted proteomic object (a protein spot in 2D gel electrophoresis (2-DE), or a peptide peak in liquid chromatography-mass spectrometry (LC-MS) analysis). Yet, the joint visualization of multiple object features on 2D gel-like maps is rather limited in currently available proteomics software packages. We introduce a new, simple, and intuitive visualization method that utilizes spheres to represent proteomic objects on proteomic feature maps, and exploits the spheres size and color to provide simultaneous visualization of user-selected feature pairs. Our contribution, a unified and flexible visualization mechanism that can be easily applied at any stage of a 2-DE or a LC-MS based differential proteomics study, is demonstrated and discussed using five representative scenarios. The joint visualization of proteomic object features and their spatial distribution is a powerful tool for inspecting and comparing the proteomics analysis results, attracting the users attention to useful information, such as differential expression trends and patterns, and even assisting in the evaluation and refinement of a proteomics experiment.


Frontiers in Immunology | 2017

Pacific Biosciences Sequencing and IMGT/HighV-QUEST Analysis of Full-Length Single Chain Fragment Variable from an In Vivo Selected Phage-Display Combinatorial Library

Audrey Hemadou; Véronique Giudicelli; Melissa Laird Smith; Marie-Paule Lefranc; Patrice Duroux; Sofia Kossida; Cheryl Heiner; N. Lance Hepler; John Kuijpers; Alexis Groppi; Jonas Korlach; Philippe Mondon; Florence Ottones; Marie-Josée Jacobin-Valat; Jeanny Laroche-Traineau; Gisèle Clofent-Sanchez

Phage-display selection of immunoglobulin (IG) or antibody single chain Fragment variable (scFv) from combinatorial libraries is widely used for identifying new antibodies for novel targets. Next-generation sequencing (NGS) has recently emerged as a new method for the high throughput characterization of IG and T cell receptor (TR) immune repertoires both in vivo and in vitro. However, challenges remain for the NGS sequencing of scFv from combinatorial libraries owing to the scFv length (>800 bp) and the presence of two variable domains [variable heavy (VH) and variable light (VL) for IG] associated by a peptide linker in a single chain. Here, we show that single-molecule real-time (SMRT) sequencing with the Pacific Biosciences RS II platform allows for the generation of full-length scFv reads obtained from an in vivo selection of scFv-phages in an animal model of atherosclerosis. We first amplified the DNA of the phagemid inserts from scFv-phages eluted from an aortic section at the third round of the in vivo selection. From this amplified DNA, 450,558 reads were obtained from 15 SMRT cells. Highly accurate circular consensus sequences from these reads were generated, filtered by quality and then analyzed by IMGT/HighV-QUEST with the functionality for scFv. Full-length scFv were identified and characterized in 348,659 reads. Full-length scFv sequencing is an absolute requirement for analyzing the associated VH and VL domains enriched during the in vivo panning rounds. In order to further validate the ability of SMRT sequencing to provide high quality, full-length scFv sequences, we tracked the reads of an scFv-phage clone P3 previously identified by biological assays and Sanger sequencing. Sixty P3 reads showed 100% identity with the full-length scFv of 767 bp, 53 of them covering the whole insert of 977 bp, which encompassed the primer sequences. The remaining seven reads were identical over a shortened length of 939 bp that excludes the vicinity of primers at both ends. Interestingly these reads were obtained from each of the 15 SMRT cells. Thus, the SMRT sequencing method and the IMGT/HighV-QUEST functionality for scFv provides a straightforward protocol for characterization of full-length scFv from combinatorial phage libraries.


Life Science Alliance | 2018

Recruitment of ubiquitin-activating enzyme UBA1 to DNA by poly(ADP-ribose) promotes ATR signalling

Ramhari Kumbhar; Sophie Vidal-Eychenié; Dimitrios Georgios Kontopoulos; Marion Larroque; Christian Larroque; Jihane Basbous; Sofia Kossida; Cyril Ribeyre; Angelos Constantinou

Human but not yeast UBA1 binds poly(ADP-ribose) polymers via a solvent-exposed and positively charged patch. Poly(ADP-ribose) polymerase 1–dependent recruitment of UBA1 to DNA ensures ataxia-telangiectasia and RAD3-related activation. The DNA damage response (DDR) ensures cellular adaptation to genotoxic insults. In the crowded environment of the nucleus, the assembly of productive DDR complexes requires multiple protein modifications. How the apical E1 ubiquitin activation enzyme UBA1 integrates spatially and temporally in the DDR remains elusive. Using a human cell-free system, we show that poly(ADP-ribose) polymerase 1 promotes the recruitment of UBA1 to DNA. We find that the association of UBA1 with poly(ADP-ribosyl)ated protein–DNA complexes is necessary for the phosphorylation replication protein A and checkpoint kinase 1 by the serine/threonine protein kinase ataxia-telangiectasia and RAD3-related, a prototypal response to DNA damage. UBA1 interacts directly with poly(ADP-ribose) via a solvent-accessible and positively charged patch conserved in the Animalia kingdom but not in Fungi. Thus, ubiquitin activation can anchor to poly(ADP-ribose)-seeded protein assemblies, ensuring the formation of functional ataxia-telangiectasia mutated and RAD3-related-signalling complexes.


Frontiers in Immunology | 2018

Coupling of Single Molecule, Long Read Sequencing with IMGT/HighV-QUEST Analysis Expedites Identification of SIV gp140-Specific Antibodies from scFv Phage Display Libraries

Seung Yub Han; Alesia Antoine; David Howard; Bryant Chang; Woo Sung Chang; Matthew Slein; Gintaras Deikus; Sofia Kossida; Patrice Duroux; Marie-Paule Lefranc; Robert Sebra; Melissa Laird Smith; Ismael Ben F. Fofana

The simian immunodeficiency virus (SIV)/macaque model of human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome pathogenesis is critical for furthering our understanding of the role of antibody responses in the prevention of HIV infection, and will only increase in importance as macaque immunoglobulin (IG) gene databases are expanded. We have previously reported the construction of a phage display library from a SIV-infected rhesus macaque (Macaca mulatta) using oligonucleotide primers based on human IG gene sequences. Our previous screening relied on Sanger sequencing, which was inefficient and generated only a few dozen sequences. Here, we re-analyzed this library using single molecule, real-time (SMRT) sequencing on the Pacific Biosciences (PacBio) platform to generate thousands of highly accurate circular consensus sequencing (CCS) reads corresponding to full length single chain fragment variable. CCS data were then analyzed through the international ImMunoGeneTics information system® (IMGT®)/HighV-QUEST (www.imgt.org) to identify variable genes and perform statistical analyses. Overall the library was very diverse, with 2,569 different IMGT clonotypes called for the 5,238 IGHV sequences assigned to an IMGT clonotype. Within the library, SIV-specific antibodies represented a relatively limited number of clones, with only 135 different IMGT clonotypes called from 4,594 IGHV-assigned sequences. Our data did confirm that the IGHV4 and IGHV3 gene usage was the most abundant within the rhesus antibodies screened, and that these genes were even more enriched among SIV gp140-specific antibodies. Although a broad range of VH CDR3 amino acid (AA) lengths was observed in the unpanned library, the vast majority of SIV gp140-specific antibodies demonstrated a more uniform VH CDR3 length (20 AA). This uniformity was far less apparent when VH CDR3 were classified according to their clonotype (range: 9–25 AA), which we believe is more relevant for specific antibody identification. Only 174 IGKV and 588 IGLV clonotypes were identified within the VL sequences associated with SIV gp140-specific VH. Together, these data strongly suggest that the combination of SMRT sequencing with the IMGT/HighV-QUEST querying tool will facilitate and expedite our understanding of polyclonal antibody responses during SIV infection and may serve to rapidly expand the known scope of macaque V genes utilized during these responses.


EMBnet.journal | 2012

Speeding up the drug discovery process: structural similarity searches using molecular surfaces

Dimitrios Vlachakis; Georgia Tsiliki; Dimosthenis Tsagkrasoulis; Carla Sofia Carvalho; Vasileios Megalooikonomou; Sofia Kossida


BMC Structural Biology | 2016

Erratum to: Structuprint: a scalable and extensible tool for two-dimensional representation of protein surfaces

Dimitrios Georgios Kontopoulos; Dimitrios Vlachakis; Georgia Tsiliki; Sofia Kossida

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Patrice Duroux

University of Montpellier

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Safa Aouinti

University of Montpellier

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