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Gene Expression Profiling and Epigenetic Alterations in RAW 264.7 Cells Following Treatment with Lipopolysaccharide and Methylcobalamin (MCB) [ATAC-seq]

GSE274235 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2025/04/21 Platform GPL24247
Summary
Methylcobalamin (MCB), an active form of Vitamin B12, demonstrates significant anti-inflammatory and neuroprotective properties by modulating pro-inflammatory cytokines such as TNF-α, IL-1β, and IL-6 (Chopra et al., 2013; Scalabrino et al., 2019). This modulation could potentially ameliorate the hyperinflammatory response known as the "cytokine storm" observed in COVID-19 patients, thereby reducing severity and improving clinical outcomes (Tanaka et al., 2020; Scalabrino, 2005). Beyond its immunomodulatory effects, methylcobalamin supports neuronal health, a critical factor given the neurological complications associated with COVID-19 (Scalabrino et al., 2017; Zhu et al., 2021). Although further clinical trials are necessary to confirm its efficacy, methylcobalamin presents a promising adjunctive therapy for managing the inflammatory and neurological symptoms of COVID-19. However, the precise molecular mechanisms underlying MCB's anti-inflammatory effects remain to be fully elucidated. In this study, we aim to investigate the transcriptional and epigenetic mechanisms through which MCB functions as an anti-inflammatory agent.
Published in
VDLIN: A Deep Learning-Based Platform for Methylcobalamin-Inspired Immunomodulatory Compound Screening
Guo X, Zhao Y, Rong X et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41144841 · doi:10.1002/advs.202413775
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Direct links to NCBI, no account and no request form: the whole study as GSE274235_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1145440 and SRA study SRP524831. Searching any of these in the dataset finder brings you back here.

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