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Bertsias, G.

Publications and source records attributed to Bertsias, G..

2 recordsLinked to original sources

The genome organizer SMC1A mediates the gene expression response in inflammation by dissociating from nuclear-speckles and redistributing to the nuclear periphery

Nuclear architectural proteins are increasingly recognized as multifunctional regulators whose roles extend well beyond static genome organization. Here we report that SMC1A, a core subunit of the cohesin complex, undergoes a striking redistribution upon inflammatory stimulation in human monocytes, dissociating from nuclear speckles and accumulating at genomic regions enriched for stress-response genes with distinct exon-intron architectural properties. Through integrative analysis of RNA-seq, chromatin organization, and nuclear spatial data, we demonstrate that this redistribution has functional consequences at multiple levels of gene expression. SMC1A dissociation from speckles is accompanied by a reduction in intron retention events -consistent with a transition from a poised, pre-loaded transcriptional state toward active, efficient co-transcriptional processing- and by selective engagement with genes whose exon-intron architecture favors exon definition splicing, shorter nuclear mRNA residence times, and peripheral radial positioning. Genes affected by SMC1A silencing, by contrast, occupy more central nuclear positions and display fundamentally different structural properties, demonstrating that the two modes of SMC1A perturbation -stress-induced redistribution and depletion- are functionally and spatially non-equivalent. These findings suggest a genome compartmentalization in which DNA compositional preferences, gene architecture, radial positioning, and splicing mode converge to define gene sets capable of rapid, precise activation. SMC1A navigates this pre-existing landscape upon inflammatory cues, coordinating transcriptional and post-transcriptional responses simultaneously. We propose that stress-induced redistribution of architectural proteins within a largely invariant nuclear compartmental framework represents a general regulatory mechanism, one whose logic is encoded in the structural organization of the genome itself.

genomics↗

Genomic dissection of Systemic Lupus Erythematosus: Distinct Susceptibility, Activity and Severity Signatures

Recent genetic and genomics approaches have yielded novel insights in the pathogenesis of Systemic Lupus Erythematosus (SLE) but the diagnosis, monitoring and treatment still remain largely empirical1,2. We reasoned that molecular characterization of SLE by whole blood transcriptomics may facilitate early diagnosis and personalized therapy. To this end, we analyzed genotypes and RNA-seq in 142 patients and 58 matched healthy individuals to define the global transcriptional signature of SLE. By controlling for the estimated proportions of circulating immune cell types, we show that the Interferon (IFN) and p53 pathways are robustly expressed. We also report cell-specific, disease-dependent regulation of gene expression and define a core/susceptibility and a flare/activity disease expression signature, with oxidative phosphorylation, ribosome regulation and cell cycle pathways being enriched in lupus flares. Using these data, we define a novel index of disease activity/severity by combining the validated Systemic Lupus Erythematosus Disease Activity Index (SLEDAI)1 with a new variable derived from principal component analysis (PCA) of RNA-seq data. We also delineate unique signatures across disease endo-phenotypes whereby active nephritis exhibits the most extensive changes in transcriptome, including prominent drugable signatures such as granulocyte and plasmablast/plasma cell activation. The substantial differences in gene expression between SLE and healthy individuals enables the classification of disease versus healthy status with median sensitivity and specificity of 83% and 100%, respectively. We explored the genetic regulation of blood transcriptome in SLE and found 3142 cis-expression quantitative trait loci (eQTLs). By integration of SLE genome-wide association study (GWAS) signals and eQTLs from 44 tissues from the Genotype-Tissue Expression (GTEx) consortium, we demonstrate that the genetic causality of SLE arises from multiple tissues with the top causal tissue being the liver, followed by brain basal ganglia, adrenal gland and whole blood. Collectively, our study defines distinct susceptibility and activity/severity signatures in SLE that may facilitate diagnosis, monitoring, and personalized therapy.

genomics↗