Acrylamide, a neurotoxic compound formed during high-temperature cooking processes, poses significant health risks, particularly regarding neurotoxicity. This study investigates the association between acrylamide exposure and neurotoxic effects, utilizing RNA sequencing (RNA-Seq) to elucidate the underlying molecular mechanisms. Gene expression profiles of neuronal cell models exposed to acrylamide was retrieved from ENA database with project id: PRJNA545942. RNAseq analysis was done to identify significant dysregulation of genes involved in critical cellular processes, including oxidative stress response, apoptosis, and neuroinflammation. Results revealed an upregulation of inflammatory pathway genes and a downregulation of neuroprotective factors, indicating a shift towards a pro-apoptotic and inflammatory state in response to acrylamide exposure. Among the upregulated genes, HMGSC1 and TUBB5 were particularly significant for their association with neurotoxicity pathways. TUBB5 plays a crucial role in neuronal migration and axonal guidance; abnormalities in this gene are severe neurodevelopmental disorders. Findings indicate that acrylamide exposure activates pathways linked to neuronal cell death and impaired neuronal function, providing a clearer understanding of its neurotoxic potential. This research emphasizes RNA-Seq as a valuable tool for investigating acrylamide-induced neurotoxicity and contributes to risk assessment frameworks for chemical exposures. By advancing the understanding of acrylamide's impact on neuronal health, this study lays the groundwork for future studies to mitigate its neurotoxic effects and protect public health.

Brain is one of the most intricate organs in the human body that works with billions of cells. A brain tumor emerges when there is uncontrolled division of cells shaping a strange gathering of cells around or inside the cerebrum. To understand the complexity of brain function and gene expression in different regions of brain is most challenging and crucial. RNAseq techniques along with computational analysis has made this task much easier and accurate. In this current research RNAseq data of brain regions have been used to predict functional genes in different regions of brains. Differential expression of genes in different regions of brain highlights the function of genes and associated pathways in brain function. The aim of this study was to identify differentially expressed gene in the brain tumor samples. RNA-seq data was retrieved from ENA database with the accession no.- PRJNA294929. Total 5 samples were retrieved in fastq format, out of which 4 samples were of corpous callosum and 1 sample was of frontal cortex. Differentially Expressed Genes (DEG) analysis was done using Galaxy platform and R software, functional enrichment of DEGs was done using DAVID and GO databases. The RNA-seq data analysis shows the up regulation of PHGDH, TUBB4A, HSPA2, GFAP, NKX3-1, COX3 genes and three genes PHGDH, COX3 and MT3 shows significant difference in their gene expression. This result can have importance in understanding the complexity of brain transcriptomics and DEGs can be further studied to evaluate their expression in brain cells and associated diseases. Further wet lab verification is required as these genes can be used as potential drug target and can be used for drug designing for brain tumor.