Fast multiclonal clusterization of V(D)J ...
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
PMID :
Title :
Fast multiclonal clusterization of V(D)J recombinations from high-throughput sequencing
Author(s) :
Giraud, Mathieu [Auteur correspondant]
Bioinformatics and Sequence Analysis [BONSAI]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Salson, Mikael [Auteur correspondant]
Bioinformatics and Sequence Analysis [BONSAI]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Duez, Marc [Auteur]
Bioinformatics and Sequence Analysis [BONSAI]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Site de Recherche Intégrée en Cancérologie [SIRIC-ONCOLille]
Villenet, Céline [Auteur]
Plateforme de génomique fonctionnelle et structurelle [Lille]
Quief, Sabine [Auteur]
Institut pour la recherche sur le cancer de Lille [Lille] [IRCL]
Plateforme de génomique fonctionnelle et structurelle [Lille]
Caillault, Aurélie [Auteur]
Service d'Hématologie Cellulaire [Lille]
Grardel, Nathalie [Auteur]
Service d'Hématologie Cellulaire [Lille]
Roumier, Christophe [Auteur]
Institut de recherche sur le cancer
Service d'Hématologie Cellulaire [Lille]
Preudhomme, Claude [Auteur]
Institut de recherche sur le cancer
Service d'Hématologie Cellulaire [Lille]
Figeac, Martin [Auteur]
Plateforme de génomique fonctionnelle et structurelle [Lille]

Bioinformatics and Sequence Analysis [BONSAI]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Salson, Mikael [Auteur correspondant]

Bioinformatics and Sequence Analysis [BONSAI]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Duez, Marc [Auteur]

Bioinformatics and Sequence Analysis [BONSAI]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Site de Recherche Intégrée en Cancérologie [SIRIC-ONCOLille]
Villenet, Céline [Auteur]
Plateforme de génomique fonctionnelle et structurelle [Lille]
Quief, Sabine [Auteur]
Institut pour la recherche sur le cancer de Lille [Lille] [IRCL]
Plateforme de génomique fonctionnelle et structurelle [Lille]
Caillault, Aurélie [Auteur]
Service d'Hématologie Cellulaire [Lille]
Grardel, Nathalie [Auteur]
Service d'Hématologie Cellulaire [Lille]
Roumier, Christophe [Auteur]

Institut de recherche sur le cancer
Service d'Hématologie Cellulaire [Lille]
Preudhomme, Claude [Auteur]

Institut de recherche sur le cancer
Service d'Hématologie Cellulaire [Lille]
Figeac, Martin [Auteur]

Plateforme de génomique fonctionnelle et structurelle [Lille]
Journal title :
Bmc Genomics
Pages :
409
Publisher :
BioMed Central
Publication date :
2014
ISSN :
1471-2164
English keyword(s) :
Sequence analysis
High-throughput sequencing
V(D)J recombinations
Repertoire sequencing (Rep-Seq)
Immunology
Leukemia
Minimal residual disease follow-up
High-throughput sequencing
V(D)J recombinations
Repertoire sequencing (Rep-Seq)
Immunology
Leukemia
Minimal residual disease follow-up
HAL domain(s) :
Informatique [cs]/Bio-informatique [q-bio.QM]
Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
Sciences du Vivant [q-bio]/Génétique
Sciences du Vivant [q-bio]/Immunologie
Informatique [cs]/Bibliothèque électronique [cs.DL]
Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
Sciences du Vivant [q-bio]/Génétique
Sciences du Vivant [q-bio]/Immunologie
Informatique [cs]/Bibliothèque électronique [cs.DL]
English abstract : [en]
BACKGROUND: V(D)J recombinations in lymphocytes are essential for immunological diversity. They are also usefulmarkers of pathologies. In leukemia, they are used to quantify the minimal residual disease duringpatient ...
Show more >BACKGROUND: V(D)J recombinations in lymphocytes are essential for immunological diversity. They are also usefulmarkers of pathologies. In leukemia, they are used to quantify the minimal residual disease duringpatient follow-up. However, the full breadth of lymphocyte diversity is not fully understood. RESULTS: We propose new algorithms that process high-throughput sequencing (HTS) data to extract unnamedV(D)J junctions and gather them into clones for quantification. This analysis is based on a seedheuristic and is fast and scalable because in the first phase, no alignment is performed with germlinedatabase sequences. The algorithms were applied to TR HTS data from a patient with acutelymphoblastic leukemia, and also on data simulating hypermutations. Our methods identified themain clone, as well as additional clones that were not identified with standard protocols. CONCLUSIONS: The proposed algorithms provide new insight into the analysis of high-troughput sequencing data forleukemia, and also to the quantitative assessment of any immunological profile. The methodsdescribed here are implemented in a C++ open-source program called Vidjil.Show less >
Show more >BACKGROUND: V(D)J recombinations in lymphocytes are essential for immunological diversity. They are also usefulmarkers of pathologies. In leukemia, they are used to quantify the minimal residual disease duringpatient follow-up. However, the full breadth of lymphocyte diversity is not fully understood. RESULTS: We propose new algorithms that process high-throughput sequencing (HTS) data to extract unnamedV(D)J junctions and gather them into clones for quantification. This analysis is based on a seedheuristic and is fast and scalable because in the first phase, no alignment is performed with germlinedatabase sequences. The algorithms were applied to TR HTS data from a patient with acutelymphoblastic leukemia, and also on data simulating hypermutations. Our methods identified themain clone, as well as additional clones that were not identified with standard protocols. CONCLUSIONS: The proposed algorithms provide new insight into the analysis of high-troughput sequencing data forleukemia, and also to the quantitative assessment of any immunological profile. The methodsdescribed here are implemented in a C++ open-source program called Vidjil.Show less >
Language :
Anglais
Popular science :
Non
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