Adaptive immune receptor repertoire (AIRR) community guide to TR and IG gene annotation

dc.accessRightsAnonymous*
dc.contributor.authorBabrak, Lmar
dc.contributor.authorMarquez, Susanna
dc.contributor.authorBusse, Christian
dc.contributor.authorLees, William
dc.contributor.authorMiho, Enkelejda
dc.contributor.authorOhlin, Mats
dc.contributor.authorRosenfeld, Aaron
dc.contributor.authorStervbo, Ulrik
dc.contributor.authorWatson, Corey
dc.contributor.authorSchramm, Chaim
dc.contributor.editorLangerak, Anton W.
dc.date.accessioned2023-03-17T14:13:48Z
dc.date.available2023-03-17T14:13:48Z
dc.date.issued2022-05-28
dc.description.abstractHigh-throughput sequencing of adaptive immune receptor repertoires (AIRR, i.e., IG and TR) has revolutionized the ability to carry out large-scale experiments to study the adaptive immune response. Since the method was first introduced in 2009, AIRR sequencing (AIRR-Seq) has been applied to survey the immune state of individuals, identify antigen-specific or immune-state-associated signatures of immune responses, study the development of the antibody immune response, and guide the development of vaccines and antibody therapies. Recent advancements in the technology include sequencing at the single-cell level and in parallel with gene expression, which allows the introduction of multi-omics approaches to understand in detail the adaptive immune response. Analyzing AIRR-seq data can prove challenging even with high-quality sequencing, in part due to the many steps involved and the need to parameterize each step. In this chapter, we outline key factors to consider when preprocessing raw AIRR-Seq data and annotating the genetic origins of the rearranged receptors. We also highlight a number of common difficulties with common AIRR-seq data processing and provide strategies to address them.en_US
dc.identifier.doi10.1007/978-1-0716-2115-8_16
dc.identifier.isbn978-1-0716-2115-8
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/34742
dc.identifier.urihttp://dx.doi.org/10.26041/fhnw-4704
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofImmunogenetics Methods and Protocolsen_US
dc.relation.ispartofseriesMethods in Molecular Biology;2453
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.spatialNew Yorken_US
dc.subjectAIRR-Seqen_US
dc.subjectB-cell receptoren_US
dc.subjectGermline databaseen_US
dc.subjectGene annotationen_US
dc.subjectPreprocessingen_US
dc.subjectSingle-cell sequencingen_US
dc.subjectT-cell receptoren_US
dc.subject.ddc500 - Naturwissenschaftenen_US
dc.titleAdaptive immune receptor repertoire (AIRR) community guide to TR and IG gene annotationen_US
dc.type04A - Beitrag Sammelband*
dspace.entity.typePublication
fhnw.InventedHereYesen_US
fhnw.IsStudentsWorknoen_US
fhnw.LegalEntity.editorDepartment of Immunology Erasmus MC Rotterdamen_US
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publicationen_US
fhnw.affiliation.hochschuleHochschule für Life Sciencesde_CH
fhnw.affiliation.institutInstitut für Medizintechnik und Medizininformatikde_CH
fhnw.openAccessCategoryGolden_US
fhnw.pagination279-296en_US
fhnw.publicationStatePublisheden_US
relation.isAuthorOfPublication05c03d68-06db-4815-9086-b9b3657d2d0c
relation.isAuthorOfPublication30aa6b4f-8d02-4f33-8551-6261e7383b23
relation.isAuthorOfPublication.latestForDiscovery05c03d68-06db-4815-9086-b9b3657d2d0c
Dateien
Originalbündel
Gerade angezeigt 1 - 1 von 1
Lade...
Vorschaubild
Name:
978-1-0716-2115-8.pdf
Größe:
17.45 MB
Format:
Adobe Portable Document Format
Beschreibung:
Lizenzbündel
Gerade angezeigt 1 - 1 von 1
Lade...
Vorschaubild
Name:
license.txt
Größe:
1.37 KB
Format:
Item-specific license agreed upon to submission
Beschreibung: