scholarly journals OGRDB: a reference database of inferred immune receptor genes

2019 ◽  
Vol 48 (D1) ◽  
pp. D964-D970 ◽  
Author(s):  
William Lees ◽  
Christian E Busse ◽  
Martin Corcoran ◽  
Mats Ohlin ◽  
Cathrine Scheepers ◽  
...  

Abstract High-throughput sequencing of the adaptive immune receptor repertoire (AIRR-seq) is providing unprecedented insights into the immune response to disease and into the development of immune disorders. The accurate interpretation of AIRR-seq data depends on the existence of comprehensive germline gene reference sets. Current sets are known to be incomplete and unrepresentative of the degree of polymorphism and diversity in human and animal populations. A key issue is the complexity of the genomic regions in which they lie, which, because of the presence of multiple repeats, insertions and deletions, have not proved tractable with short-read whole genome sequencing. Recently, tools and methods for inferring such gene sequences from AIRR-seq datasets have become available, and a community approach has been developed for the expert review and publication of such inferences. Here, we present OGRDB, the Open Germline Receptor Database (https://ogrdb.airr-community.org), a public resource for the submission, review and publication of previously unknown receptor germline sequences together with supporting evidence.

2016 ◽  
Vol 11 (3) ◽  
pp. 429-442 ◽  
Author(s):  
Jonathan R McDaniel ◽  
Brandon J DeKosky ◽  
Hidetaka Tanno ◽  
Andrew D Ellington ◽  
George Georgiou

2018 ◽  
Vol 284 (1) ◽  
pp. 148-166 ◽  
Author(s):  
Branden J. Olson ◽  
Frederick A. Matsen

2017 ◽  
Vol 8 ◽  
Author(s):  
Felix Breden ◽  
Eline T. Luning Prak ◽  
Bjoern Peters ◽  
Florian Rubelt ◽  
Chaim A. Schramm ◽  
...  

2021 ◽  
Author(s):  
Alexander Komkov ◽  
Anastasia Smirnova ◽  
Anna Miroshnichenkova ◽  
Egor Volchkov ◽  
Yulia Olshanskaya ◽  
...  

AbstractHigh-throughput sequencing of immune receptor repertoires is a valuable tool for receiving insights in adaptive immunity studies. Several powerful methods for TCR/BCR repertoire reconstruction and analysis have been developed in the past decade. However, detection and correction of the discrepancy between real and experimentally observed lymphocyte clone frequencies are still challenging. Here we formulated a quantitative measure of V- and J-genes frequency bias driven by multiplex PCR during library preparation called Over Amplification Rate (OAR). Based on OAR concept, we developed an original software for multiplex PCR-specific bias evaluation and correction named iROAR: Immune Repertoire Over Amplification Removal (https://github.com/smiranast/iROAR). The iROAR algorithm was successfully tested on previously published TCR repertoires obtained using both 5’ RACE (Rapid Amplification of cDNA Ends)-based and multiplex PCR-based approaches. The developed tool can be used to increase the accuracy and consistency of repertoires reconstructed by different methods making them more applicable for comparative analysis.


2019 ◽  
Vol 48 (D1) ◽  
pp. D1051-D1056 ◽  
Author(s):  
Aviv Omer ◽  
Or Shemesh ◽  
Ayelet Peres ◽  
Pazit Polak ◽  
Adrian J Shepherd ◽  
...  

Abstract VDJbase is a publicly available database that offers easy searching of data describing the complete sets of gene sequences (genotypes and haplotypes) inferred from adaptive immune receptor repertoire sequencing datasets. VDJbase is designed to act as a resource that will allow the scientific community to explore the genetic variability of the immunoglobulin (Ig) and T cell receptor (TR) gene loci. It can also assist in the investigation of Ig- and TR-related genetic predispositions to diseases. Our database includes web-based query and online tools to assist in visualization and analysis of the genotype and haplotype data. It enables users to detect those alleles and genes that are significantly over-represented in a particular population, in terms of genotype, haplotype and gene expression. The database website can be freely accessed at https://www.vdjbase.org/, and no login is required. The data and code use creative common licenses and are freely downloadable from https://bitbucket.org/account/user/yaarilab/projects/GPHP.


2021 ◽  
Author(s):  
Adria Aterido ◽  
Maria Lopez-Lasanta ◽  
Francisco Blanco ◽  
Antonio Juan-Mas ◽  
Maria Luz Garcia-Vivar ◽  
...  

Rheumatoid arthritis (RA) is an immune-mediated inflammatory disease characterized by a defective adaptive immune receptor repertoire (AIRR) that fails to distinguish self from non-self antigens. The AIRR is vast, encompassing four T cell receptor (TCR) and three B cell receptor (BCR) chains, each of which displays an extraordinary amino acid sequence variability in the antigen-binding site. How the concerted action of T and B cell clones is associated with the development and clinical evolution of immune-mediated diseases is still not known. Using a new immunosequencing technology that allows the unbiased amplification of the seven receptor chains, we conducted an in-depth quantitative analysis of the seven-receptor chain variability in RA. Compared to healthy controls, the AIRR in RA was found to be characterized by a lower BCR diversity, the depletion of highly similar BCR clones, an isotype-specific signature as well as a skewed IGL chain and gene segment usage. A predictor based on quantitative multi-chain AIRR information was able to accurately predict disease, including the elusive seronegative subset of RA patients. AIRR features of the seven immune receptor chains were also different between patients with distinct clinically relevant phenotypes. Incorporating HLA variation data, we were able to identify the TCR clones that are specifically associated with disease risk variants. The longitudinal analysis of the AIRR revealed that treatment with Tumor Necrosis Factor (TNF) inhibitors selectively restores the diversity of B cell clones in RA patients by reducing the frequency of clones with a similar biochemical profile. The biochemical properties of the TNFi-modulated clones were also found to differ between responders and non-responders, supporting a different antigenic reactivity in the B cell compartment of these two groups of RA patients. Our comprehensive analysis of the TCR and BCR repertoire reveals a complex T and B cell architecture in RA, and provides the basis for precision medicine strategies based on the highly informative features of the adaptive immune response.


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