immune loci
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Author(s):  
Upekha Liyanage ◽  
Stuart MacGregor ◽  
D. Timothy Bishop ◽  
Jianxin Shi ◽  
Jiyuan An ◽  
...  

2020 ◽  
Author(s):  
Camille Kessler ◽  
Alice Brambilla ◽  
Dominique Waldvogel ◽  
Glauco Camenisch ◽  
Iris Biebach ◽  
...  

AbstractGenetic variation is a major factor determining susceptibility to diseases. Polymorphism at the major histocompatibility complex (MHC) and other immune function loci can underlie health and reproductive success of individuals. Endangered species of low population size could be severely compromised to evolve disease resistance due to reduced adaptive variation. A major impediment to screen adaptive genetic variation in wild species is the difficulty to comprehensively genotype immune-related loci based on low input material. Here, we design and validate a targeted amplicon sequencing assay to parallelize the analysis of a thousand loci of the MHC, other immunity-related genes, and genome-wide markers for the assessment of population structure. We apply the approach to Alpine ibex, one of the most successful examples of restoration of a large mammal in Europe. We used 51 whole genome sequenced individuals to select representative target SNPs. We integrated SNP call data from four related species for amplification robustness and genotyped 158 Alpine ibex individuals for validation. We show that the genome-wide markers perform equally well at resolving population structure as RAD-seq or low-coverage genome sequencing datasets with orders of magnitude more markers. The targeted amplicon sequencing assay is robust to >100-fold variation in input DNA quantity and generates useful genotype information from fecal samples. The amplicon marker set also identified recent species hybridization events with domestic goats. The immune loci show unexpectedly high degrees of differentiation within the species. Our assay strategy can realistically be implemented into population genetic surveys of a large range of species.


2019 ◽  
Vol 9 (14) ◽  
pp. 7985-7996
Author(s):  
Vivienne Litzke ◽  
Meinolf Ottensmann ◽  
Jaume Forcada ◽  
Louise Heitzmann ◽  
Joseph Ivan Hoffman

2018 ◽  
Vol 115 (52) ◽  
pp. E12323-E12332 ◽  
Author(s):  
Guo Luo ◽  
Aditya Ambati ◽  
Ling Lin ◽  
Mélodie Bonvalet ◽  
Markku Partinen ◽  
...  

Type 1 narcolepsy (T1N) is caused by hypocretin/orexin (HCRT) neuronal loss. Association with the HLA DQB1*06:02/DQA1*01:02 (98% vs. 25%) heterodimer (DQ0602), T cell receptors (TCR) and other immune loci suggest autoimmunity but autoantigens are unknown. Onset is seasonal and associated with influenza A, notably pandemic 2009 H1N1 (pH1N1) infection and vaccination (Pandemrix). Peptides derived from HCRT and influenza A, including pH1N1, were screened for DQ0602 binding and presence of cognate DQ0602 tetramer-peptide–specific CD4+ T cells tested in 35 T1N cases and 22 DQ0602 controls. Higher reactivity to influenza pHA273–287 (pH1N1 specific), PR8 (H1N1 pre-2009 and H2N2)-specific NP17–31 and C-amidated but not native version of HCRT54–66 and HCRT86–97 (HCRTNH2) were observed in T1N. Single-cell TCR sequencing revealed sharing of CDR3β TRBV4-2-CASSQETQGRNYGYTF in HCRTNH2 and pHA273–287-tetramers, suggesting molecular mimicry. This public CDR3β uses TRBV4-2, a segment modulated by T1N-associated SNP rs1008599, suggesting causality. TCR-α/β CDR3 motifs of HCRT54–66-NH2 and HCRT86–97-NH2 tetramers were extensively shared: notably public CDR3α, TRAV2-CAVETDSWGKLQF-TRAJ24, that uses TRAJ24, a chain modulated by T1N-associated SNPs rs1154155 and rs1483979. TCR-α/β CDR3 sequences found in pHA273–287, NP17–31, and HCRTNH2 tetramer-positive CD4+ cells were also retrieved in single INF-γ–secreting CD4+ sorted cells stimulated with Pandemrix, independently confirming these results. Our results provide evidence for autoimmunity and molecular mimicry with flu antigens modulated by genetic components in the pathophysiology of T1N.


2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 114-115
Author(s):  
Z Estrada Reyes ◽  
Y Tsukahara ◽  
A Goetsch ◽  
T Gipson ◽  
Z Wang ◽  
...  

2015 ◽  
Author(s):  
Jennie G. Pouget ◽  
Vanessa F. Gonçalves ◽  
Sarah L. Spain ◽  
Hilary K. Finucane ◽  
Soumya Raychaudhuri ◽  
...  

AbstractThere has been intense debate over the immunological basis of schizophrenia, and the potential utility of adjunct immunotherapies. The major histocompatibility complex is consistently the most powerful region of association in genome-wide association studies (GWASs) of schizophrenia, and has been interpreted as strong genetic evidence supporting the immune hypothesis. However, global pathway analyses provide inconsistent evidence of immune involvement in schizophrenia, and it remains unclear whether genetic data support an immune etiology per se. Here we empirically test the hypothesis that variation in immune genes contributes to schizophrenia. We show that there is no enrichment of immune loci outside of the MHC region in the largest genetic study of schizophrenia conducted to date, in contrast to five diseases of known immune origin. Among 108 regions of the genome previously associated with schizophrenia, we identify six immune candidates (DPP4, HSPD1, EGR1, CLU, ESAM, NFATC3) encoding proteins with alternative, nonimmune roles in the brain. While our findings do not refute evidence that has accumulated in support of the immune hypothesis, they suggest that genetically mediated alterations in immune function may not play a major role in schizophrenia susceptibility. Instead, there may be a role for pleiotropic effects of a small number of immune genes that also regulate brain development and plasticity. Whether immune alterations drive schizophrenia progression is an important question to be addressed by future research, especially in light of the growing interest in applying immunotherapies in schizophrenia.


2014 ◽  
Vol 15 (8) ◽  
pp. 534-542 ◽  
Author(s):  
A Shendre ◽  
H W Wiener ◽  
D Zhi ◽  
A I Vazquez ◽  
M A Portman ◽  
...  

2014 ◽  
Vol 74 (3) ◽  
pp. e13-e13 ◽  
Author(s):  
Kwangwoo Kim ◽  
So-Young Bang ◽  
Hye-Soon Lee ◽  
Soo-Kyung Cho ◽  
Chan-Bum Choi ◽  
...  

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