Antibody against envelope protein from human endogenous retrovirus activates neutrophils in systemic lupus erythematosus, bioRxiv, 2019-09-21

AbstractNeutrophil activation and the formation of neutrophil extracellular trap (NET) are hallmarks of innate immune activation in systemic lupus erythematosus (SLE) and contribute to the systemic interferon signature. Here we report that the expression of an endogenous retrovirus (ERV) locus ERV-K102, encoding an envelope protein, was significantly elevated in SLE patient blood and was correlated with higher interferon status. Induction of ERV-K102 expression most strongly correlated with reduced transcript levels of epigenetic silencing factors. SLE IgG promoted phagocytosis of ERV-K102 envelope protein by neutrophils through immune complex formation. ERV immune complex phagocytosis resulted in subsequent NET formation consisting of DNA, neutrophil elastase, and citrullinated histone H3. Finally, analysis of anti-ERV-K102 IgG in SLE patients showed that IgG2 likely mediates this effect. Together, we identified an immunostimulatory ERV-K envelope protein elevated in SLE that may be a target of SLE IgG and able to promote neutrophil activation.eTOC summaryUsing ERVmap, the authors determined that the expression of ERV-K102 locus was elevated in SLE patient blood and correlated with the interferon signature. The envelope protein encoded by this locus activates human neutrophils through immune complex formation with SLE IgG.

biorxiv immunology 0-100-users 2019

Gene capture by transposable elements leads to epigenetic conflict, bioRxiv, 2019-09-21

ABSTRACTPlant transposable elements (TEs) regularly capture fragments of host genes. When the host employs siRNAs to silence these TEs, siRNAs homologous to the captured regions may target both the TEs and the genes, potentially leading to their silencing. This epigenetic cross-talk establishes an intragenomic conflict silencing the TEs comes with the potential cost of silencing the genes. If the genes are important, however, natural selection will act to maintain function by moderating the silencing response. Such moderation may advantage the TEs. Here, we examined the potential for these epigenetic conflicts by focusing on three TE families in maize - Helitrons, Pack-MULEs and Sirevirus LTR retrotransposons. We documented 1,508 TEs with fragments captured from 2,019 donor genes and characterized the epigenetic profiles of both. Consistent with epigenetic conflict, donor genes mapped more siRNAs and were more methylated than ‘free’ genes that had no evidence of exon capture. However, these patterns differed between syntelog vs. transposed donor genes. Syntelog genes appeared to maintain function, consistent with moderation of the epigenetic response for important genes before reaching a deleterious threshold, while transposed genes bore the signature of silencing and potential pseudogenization. Intriguingly, transposed genes were overrepresented among donor genes, suggesting a link between capture and gene movement. We also investigated the potential for TEs to gain an advantage. TEs with captured fragments were older, mapped fewer siRNAs and had lower levels of methylation than ‘free’ TEs without gene fragments, but they showed no obvious evidence of increased copy numbers. Altogether, our results demonstrate that TE capture triggers an epigenetic conflict when genes are important, contrasting the loss of function for genes that are not under strong selective constraint. The evidence for an advantage to TEs is currently less obvious.

biorxiv genomics 0-100-users 2019

A multi-tissue transcriptome analysis of human metabolites guides the interpretability of associations based on multi-SNP models for gene expression, bioRxiv, 2019-09-20

AbstractThere is particular interest in transcriptome-wide association studies (TWAS) - gene-level tests based on multi-SNP predictive models of gene expression - for identifying causal genes at loci associated with complex traits. However, interpretation of TWAS associations may be complicated by divergent effects of model SNPs on trait phenotype and gene expression. We developed an iterative modelling scheme for obtaining multi-SNP models of gene expression and applied this framework to generate expression models for 43 human tissues from the Genotype-Tissues Expression (GTEx) Project. We characterized the performance of single- and multi-SNP TWAS models for identifying causal genes in GWAS data for 46 circulating metabolites. We show that (a) multi-SNP models captured more variation in expression than the top cis-eQTL (median 2 fold improvement); (b) predicted expression based on multi-SNP models was associated (FDR<0.01) with metabolite levels for 826 unique gene-metabolite pairs, but, after step-wise conditional analyses, 90% were dominated by a single eQTL SNP; (c) amongst the 35% of associations where a SNP in the expression model was a significant cis-eQTL and metabolomic-QTL (met-QTL), 92% demonstrated colocalization between these signals, but interpretation was often complicated by incomplete overlap of QTLs in multi-SNP models; (d) using a “truth” set of causal genes at 61 met-QTLs, the sensitivity was high (67%), but the positive predictive value was low, as only 8% of TWAS associations at met-QTLs involved true causal genes. These results guide the interpretation of TWAS and highlight the need for corroborative data to provide confident assignment of causality.

biorxiv genomics 100-200-users 2019

 

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