Integration of the microbiome, metabolome and transcriptomics data identified novel metabolic pathway regulation in colorectal cancer

Vartika Bisht, Katrina Nash, Yuanwei Xu, Prasoon Agarwal, Sofie Bosch, Georgios V. Gkoutos, Animesh Acharjee

Research output: Contribution to journalArticlepeer-review

27 Downloads (Pure)

Abstract

Integrative multiomics data analysis provides a unique opportunity for the mechanistic understanding of colorectal cancer (CRC) in addition to the identification of potential novel therapeutic targets. In this study, we used public omics data sets to investigate potential associations between microbiome, metabolome, bulk transcriptomics and single cell RNA sequencing datasets. We identified multiple potential interactions, for example 5-aminovalerate interacting with Adlercreutzia; cholesteryl ester interacting with bacterial genera Staphylococcus, Blautia and Roseburia. Using public single cell and bulk RNA sequencing, we identified 17 overlapping genes involved in epithelial cell pathways, with particular significance of the oxidative phosphorylation pathway and the ACAT1 gene that indirectly regulates the esterification of cholesterol. These findings demonstrate that the integration of multiomics data sets from diverse populations can help us in untangling the colorectal cancer pathogenesis as well as postulate the disease pathology mechanisms and therapeutic targets.
Original languageEnglish
Article number5763
JournalInternational Journal of Molecular Sciences
Volume22
Issue number11
DOIs
Publication statusPublished - 28 May 2021

Keywords

  • microbiota
  • colorectal neoplasms
  • biomarkers
  • metabolomics
  • transcriptome
  • omics integration

Fingerprint

Dive into the research topics of 'Integration of the microbiome, metabolome and transcriptomics data identified novel metabolic pathway regulation in colorectal cancer'. Together they form a unique fingerprint.

Cite this