Transcriptomic Analysis of Postnatal Rat Carotid Body Development.
Ning WangYing-Jie PengWenjun KangMatthew HildrethNanduri R PrabhakarJayasri NanduriPublished in: Genes (2024)
The carotid body (CB), located bilaterally at the carotid artery bifurcations, is the primary sensory organ for monitoring arterial blood O 2 levels. Carotid bodies are immature at birth, exhibiting low sensitivity to hypoxia, and become more sensitive with maturation during the first few weeks of neonatal life. To understand the molecular basis for the postnatal developmental hypoxic responses of CB, we isolated CBs from 5-day and 21-day-old Sprague-Dawley rats and performed RNA sequencing, which allows comprehensive analysis of gene expression. Differentially expressed genes (DEGs) were generated using Edge R, while functional enrichment analysis was performed using gene-set enrichment analysis (GSEA). Analysis of RNA-Seq data showed 2604 DEGs of the total 12,696 genes shared between neonates and adults. Of the 2604 DEGs, 924 genes were upregulated, and 1680 genes were downregulated. Further analysis showed that genes related to oxidative phosphorylation (Ox/phos) and hypoxia-signaling pathways were significantly upregulated in neonatal CBs compared to adult CBs, suggesting a possible link to differential developmental hypoxic responses seen in CB. Genes related to cytokine signaling (INFγ and TNFα) and transcription factors (CREB and NFΚB) mediated pathways were enriched in adult CBs, suggesting that expression of these pathways may be linked to developmental regulation. The RNA-Seq results were verified by analyzing mRNA changes in selected genes by qRT-PCR. Our results of enrichment analysis of biological pathways offer valuable insight into CB hypoxic sensing responses related to the development process.
Keyphrases
- rna seq
- genome wide identification
- genome wide
- single cell
- gene expression
- bioinformatics analysis
- signaling pathway
- transcription factor
- genome wide analysis
- dna methylation
- preterm infants
- oxidative stress
- poor prognosis
- endothelial cells
- pregnant women
- machine learning
- rheumatoid arthritis
- pi k akt
- toll like receptor
- artificial intelligence
- long non coding rna
- nuclear factor
- protein kinase
- inflammatory response
- low birth weight