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Biology subjects

Singh, V. V.

Publications and source records attributed to Singh, V. V..

2 recordsLinked to original sources

Preferential Isoform Usage and Isoform Switching in Systemic Lupus Erythematosus Patients with Distinct Autoantibody Profile

RNA sequencing has advanced our understanding of molecular heterogeneity in systemic lupus erythematosus (SLE), yet most studies have focused on differential gene expression (DGE), which overlooks transcript-level complexity. Alternative splicing and polyadenylation generate multiple isoforms from a single gene, and their dysregulation may contribute to autoimmune pathogenesis, including through the production of non-canonical isoforms with potential autoantigenic properties. To explore this underexamined dimension, we analysed differential isoform usage (DIU) and major isoform switching (MIS) across SLE subgroups stratified by autoantibody profile: anti-dsDNA+, anti-ENA+ and anti-dsDNA+ENA+. Subgroup-specific DIU and MIS events were enriched in RNA-binding and transcription-related functions. In the anti-dsDNA+ subgroup, the T-cell receptor adaptor GRAP2 showed isoform switching accompanied by expansion of a non-coding retained-intron transcript. In the anti-ENA+ subgroup, IGHM switched from the membrane-bound to the secretory form, consistent with an antibody-secreting cell signature; NACA, a reported IgE autoantigen, showed isoform switching; and BRI3, linked to TNF--induced cell death, switched toward its protein-coding transcript. In the anti-dsDNA+ENA+ subgroup, TNFAIP2, a TNF--induced gene, showed isoform redistribution with loss of a uORF-containing transcript. These findings highlight isoform regulation as a distinct, subgroup-specific and functionally relevant layer of transcriptomic dysregulation in SLE.

immunology↗

Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study

Saliva omics, a rapidly developing field for non-invasive diagnostics, may be utilized for monitoring very young or elderly populations, as well as individuals in remote locations. In this study, multiple saliva omics from an individual were monitored over 100 timepoints, over three periods involving: (i) hourly sampling over 24 hours without intervention, (ii) hourly sampling over 24 hours including immune system activation using the standard 23-valent pneumococcal polysaccharide vaccine, (iii) daily sampling for 33 days profiling the post-vaccination response. At each timepoint total saliva transcriptome and proteome were profiled, and salivary extracellular vesicles were derived, from which small-RNA sequencing was used to determine RNA, miRNA, piRNA and bacterial RNA components. The two 24-hour periods were used in a paired analysis to reveal vaccination responses. Temporal trends were classified and collective behavior revealed broad immune-responses captured in saliva, both at the innate as well as the adaptive response time frames.

genomics↗