Integrative meta-analysis of transcriptome data for unmasking biological mechanism of idiopathic pulmonary fibrosis

Sungmin Park, Junghyun Jung, Jong Wha Joanne Joo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Idiopathic pulmonary fibrosis is one of the chronic and fatal interstitial lung diseases. IPF generally shows poor prognosis, and their exact pathogenesis and casualties are not clearly revealed yet. RNA sequencing and microarray experiments enable the determination of genes whose expression levels are significantly different in IPF disease group compared with the healthy control group. Total 749 genes were identified as differentially expressed genes in both two data sets via (P-value < 0.05) via oligo, limma, and DESeq R packages. Among total DEGs, 453 genes were significantly up-regulated genes and 250 genes were down-regulated genes. In order to confirm the systemic functions of the obtained DEGs, we performed gene set enrichment analysis and functional annotation by database for Annotation, Visualization, and Integrated Discovery.

Original languageEnglish
Title of host publication2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728197326
DOIs
StatePublished - 5 Dec 2020
EventJoint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020 - Virtual, Tokyo, Japan
Duration: 5 Dec 20208 Dec 2020

Publication series

Name2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020

Conference

ConferenceJoint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
Country/TerritoryJapan
CityVirtual, Tokyo
Period5/12/208/12/20

Keywords

  • Bioinformatics
  • Genetic Markers
  • Idiopathic pulmonary fibrosis
  • Meta-analysis
  • RNA-Seq

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