Transcriptome sequencing of gingival biopsies from chronic periodontitis patients reveals novel gene expression and splicing patterns

Yong Gun Kim, Minjung Kim, Ji Hyun Kang, Hyo Jeong Kim, Jin Woo Park, Jae Mok Lee, Jo Young Suh, Jae Young Kim, Jae Hyung Lee, Youngkyun Lee

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

Background: Periodontitis is the most common chronic inflammatory disease caused by complex interaction between the microbial biofilm and host immune responses. In the present study, high-throughput RNA sequencing was utilized to systemically and precisely identify gene expression profiles and alternative splicing. Methods: The pooled RNAs of 10 gingival tissues from both healthy and periodontitis patients were analyzed by deep sequencing followed by computational annotation and quantification of mRNA structures. Results: The differential expression analysis designated 400 up-regulated genes in periodontitis tissues especially in the pathways of defense/immunity protein, receptor, protease, and signaling molecules. The top 10 most upregulated genes were CSF3, MAFA, CR2, GLDC, SAA1, LBP, MME, MMP3, MME-AS1, and SAA4. The 62 down-regulated genes in periodontitis were mainly cytoskeletal and structural proteins. The top 10 most down-regulated genes were SERPINA12, MT4, H19, KRT2, DSC1, PSORS1C2, KRT27, LCE3C, AQ5, and LCE6A. The differential alternative splicing analysis revealed unique transcription variants in periodontitis tissues. The EDB exon was predominantly included in FN1, while exon 2 was mostly skipped in BCL2A1. Conclusions: These findings using RNA sequencing provide novel insights into the pathogenesis mechanism of periodontitis in terms of gene expression and alternative splicing.

Original languageEnglish
Article number28
JournalHuman Genomics
Volume10
Issue number1
DOIs
Publication statusPublished - 7 Jan 2016

Keywords

  • Alternative splicing
  • Gene expression profile
  • Periodontitis
  • Transcriptome sequencing

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