Search PubMedSearch

PubMed · 40693398

Alu Overexpression Leads to an Increased Double-Stranded RNA Signature in Dermatomyositis.

Abstract

OBJECTIVE: Dermatomyositis is an autoimmune condition characterized by a high interferon signature of unknown etiology. Because coding sequences constitute <1.2% of our genomes, there is a need to explore the role of the noncoding genome in disease pathogenesis. Our genomes include roughly 1.2 million Alu elements occupying approximately 10% of the genome, which can form double-stranded (ds) RNA capable of triggering MDA5 leading to interferon production. METHODS: We aligned muscle biopsy RNA sequencing data to the telomere-to-telomere reference genome and quantified short interspersed elements including Alus. Because Alus have a propensity to form dsRNA and are the major targets of both adenosine deaminase RNA specific and MDA5, we quantified adenosine to inosine (A-to-I) RNA editing, which reflects dsRNA in vivo. RESULTS: Dermatomyositis muscle (n = 39) showed a global elevation in Alu expression (including inverted-repeat Alus with high potential to form dsRNA) as well as an increased expression of unique Alu elements (n = 557, q < 0.05) compared with healthy controls (n = 34), in a pattern not seen in other myositis types (n = 81). Most (75.3%) of these Alus originated from genomic regions outside genes. A cluster of the uniquely overexpressed Alus (n = 167) correlated with interferon-stimulated genes and markers of myositis activity. Additionally, we found a uniquely expanded Alu A-to-I editome in dermatomyositis, reflecting an increase in dsRNA. Edited Alus clustered on chromosome 19, which is known to have the highest concentration of dsRNA. CONCLUSION: We hypothesize that overexpressed Alus in dermatomyositis form endogenous dsRNA that exceeds the capacity of RNA editing enzymes and triggers dsRNA sensors leading to interferon production.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Rayan Najjar, Andrew Mammen, Tomas Mustelin. 2025-11-11. Alu Overexpression Leads to an Increased Double-Stranded RNA Signature in Dermatomyositis.. https://doi.org/10.1002/art.43328

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans