Characterization of gene expression profiles for different types of mast cells pooled from mouse stomach subregions by an RNA amplification method

Soken Tsuchiya, Yuki Tachida, Eri Segi-Nishida, Yasushi Okuno, Shigero Tamba, Gozoh Tsujimoto, Satoshi Tanaka, Yukihiko Sugimoto

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Background: Mast cells (MCs) play pivotal roles in allergy and innate immunity and consist of heterogenous subclasses. However, the molecular basis determining the different characteristics of these multiple MC subclasses remains unclear. Results: To approach this, we developed a method of RNA extraction/ amplification for intact in vivo MCs pooled from frozen tissue sections, which enabled us to obtain the global gene expression pattern of pooled MCs belonging to the same subclass. MCs were isolated from the submucosa (sMCs) and mucosa (mMCs) of mouse stomach sections, respectively, 15 cells were pooled, and their RNA was extracted, amplified and subjected to microarray analysis. Known marker genes specific for mMCs and sMCs showed expected expression trends, indicating accuracy of the analysis. We identified 1,272 genes showing significantly different expression levels between sMCs and mMCs, and classified them into clusters on the basis of similarity of their expression profiles compared with bone marrow-derived MCs, which are the cultured MCs with so-called 'immature' properties. Among them, we found that several key genes such as Notch4 had sMC-biased expression and Ptgr1 had mMC-biased expression. Furthermore, there is a difference in the expression of several genes including extracellular matrix protein components, adhesion molecules, and cytoskeletal proteins between the two MC subclasses, which may reflect functional adaptation of each MC to the mucosal or submucosal environment in the stomach. Conclusion: By using the method of RNA amplification from pooled intact MCs, we characterized the distinct gene expression profiles of sMCs and mMCs in the mouse stomach. Our findings offer insight into possible unidentified properties specific for each MC subclass.

Original languageEnglish
Article number35
JournalBMC Genomics
Volume10
DOIs
Publication statusPublished - Jan 20 2009

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

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