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LncRNA-mRNA expression profiles and functional networks of hyposalivation in the submandibular gland in hypertension

ABSTRACT: LncRNA-mRNA expression profiles and functional networks of hyposalivation in the submandibular gland in hypertension

PROVIDER: PRJNA603667 | ENA |

REPOSITORIES: ENA

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Integrated analysis of genome-wide profiling of lncRNA and mRNA expression and functional networks after botulinum toxin type A injection into submandibular gland of rats.

Project description:Abstract: Backgroud: This study was to explore long noncoding RNA (lncRNA) and messenger RNA (mRNA) expression profiles and construct functional networks to analyze their biological functions when botulinum toxin type A (BTXA) inhibited salivary secretion. Methods: BTXA and saline were injected into the submandibular gland of rats as the BTXA group and control group, respectively. Morphological and secretory function tests validated the animal models. Microarray analysis was applied to identify the expression variation of lncRNA and mRNA and were confirmed by qRT-PCR. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to explicit the biological functions. The construction of functional networks including lncRNA-mRNA co-expression network and competing endogenous RNA (ceRNA) network was to reveal the interaction between coding and noncoding genes. Results: A total of 254 lncRNAs and 631 mRNAs were differentially expressed (DE) between the control group and the BTXA group. Ten lncRNAs and eleven mRNAs were confirmed by qRT-PCR and the results were consistent with the microarray analysis. The bioinformatic analysis found that most of mRNAs were closely related to transmembrane transporter activity. LncRNA-mRNA co-expression network and ceRNA network were constructed and identified several critical mRNA-lncRNA axes and key microRNAs related to salivary secretion, respectively. Conclusions: Our study identified DE lncRNAs and mRNAs through microarray analysis and explored the biological functions and interaction between coding and noncoding genes through bioinformatics analysis. These findings may provide new directions for the mechanism of BTXA to inhibit salivary secretion.

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