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Integrative assessment of RNA sequencing and in silico analysis to pinpoint mRNAs, lncRNAs, and circRNAs interactions with miRNAs underlying arsenic-induced neurotoxicity

GSE278489 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/07/28 Platform GPL24676
Summary
The acquisition of neurodegeneration hallmarks necessitates molecular changes at multiple levels of functional genomics. Regulatory RNAs, including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) play crucial roles in modulating messenger RNAs (mRNAs) expression and are potential molecules that regulate multifactorial neurotoxicity mechanisms. Integrated studies of regulatory RNAs’ functions are still lacking to portray the complete picture. In this study, we carried out a detailed analysis of mRNA, lncRNA, and circRNA profiles in differentiated SH-SY5Y cells exposed to arsenic, a well-known neurotoxicant, using the Illumina Novaseq6000 platform. Subsequently, employing a bioinformatics approach, we identified specific interactions between these RNA molecules and potential miRNAs, unraveling intricate regulatory networks. Among significantly deregulated transcripts, we identified 2487 mRNA transcripts, 1192 lncRNA transcripts, and 20 circRNA transcripts in arsenic-treated cells compared to control. Functional enrichment analysis indicated their involvement in numerous pathways underlying neurotoxicity. Further, these regulatory molecules displayed strong interactions with multiple miRNAs implicated in neuronal damage. Our findings revealed intricate molecular alterations in response to arsenic exposure, emphasizing the crucial role of multi-omics technologies in understanding neurodegeneration. These findings pave the way for targeted therapeutic interventions, focusing on precise modulation of regulatory RNA networks to mitigate the effects of arsenic.
Published in
Integrative assessment of RNA sequencing and in silico analysis to pinpoint mRNAs, lncRNAs, and circRNAs interactions with miRNAs underlying arsenic-induced neurotoxicity
Sarkar S, Pandey A, Khan B et al. · BMC genomics 2025 · PMID 40999364 · doi:10.1186/s12864-025-11970-7
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Direct links to NCBI, no account and no request form: the whole study as GSE278489_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1167623 and SRA study SRP535884. Searching any of these in the dataset finder brings you back here.

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