Basic Study
Copyright ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Nov 7, 2017; 23(41): 7369-7386
Published online Nov 7, 2017. doi: 10.3748/wjg.v23.i41.7369
Parallel mRNA, proteomics and miRNA expression analysis in cell line models of the intestine
Finbarr O’Sullivan, Joanne Keenan, Sinead Aherne, Fiona O’Neill, Colin Clarke, Michael Henry, Paula Meleady, Laura Breen, Niall Barron, Martin Clynes, Karina Horgan, Padraig Doolan, Richard Murphy
Finbarr O’Sullivan, Joanne Keenan, Sinead Aherne, Fiona O’Neill, Michael Henry, Paula Meleady, Laura Breen, Niall Barron, Martin Clynes, Padraig Doolan, National Institute for Cellular Biotechnology, Dublin City University, Dublin D09 W6Y4, Ireland
Colin Clarke, National Institute for Bioprocessing Research & Training, Blackrock, Dublin A94 X099, Ireland
Karina Horgan, Richard Murphy, Alltech, Dunboyne, Meath, A86 X006, Ireland
Author contributions: O'Sullivan F was involved at all stages of the research and co-wrote the manuscript; Doolan P coordinated the analysis of the triomic dataset and co-wrote the manuscript; Keenan J and Breen L performed the cell culture and prepared samples for analysis; Aherne S and O’Neill F performed the microarray experiments; Henry M and Meleady P performed the proteomic experiments; Clarke C and Barron N performed bioinformatics analysis on the data; Murphy R designed and coordinated the research programme with help from Clynes M and Horgan K; All authors read and reviewed the manuscript; Doolan P and Murphy R contributed equally to this work and are joint-last Authors.
Supported by A Strategic Alliance Programme between Alltech Ltd. and DCU and also Enterprise Ireland Innovation Partnership Grant (IP 2015 0375).
Conflict-of-interest statement: The authors declare they have no conflicts of interest.
Data sharing statement: All data generated or analysed during this study are included in this published article and its supplementary information files.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Finbarr O’Sullivan, PhD, Associate Director, National Institute for Cellular Biotechnology, Dublin City University, Dublin D09 W6Y4, Ireland. finbarr.osullivan@dcu.ie
Telephone: +353-1-7005700
Received: May 16, 2017
Peer-review started: May 18, 2017
First decision: June 22, 2017
Revised: July 7, 2017
Accepted: August 8, 2017
Article in press: August 8, 2017
Published online: November 7, 2017
Abstract
AIM

To identify miRNA-regulated proteins differentially expressed between Caco2 and HT-29: two principal cell line models of the intestine.

METHODS

Exponentially growing Caco-2 and HT-29 cells were harvested and prepared for mRNA, miRNA and proteomic profiling. mRNA microarray profiling analysis was carried out using the Affymetrix GeneChip Human Gene 1.0 ST array. miRNA microarray profiling analysis was carried out using the Affymetrix Genechip miRNA 3.0 array. Quantitative Label-free LC-MS/MS proteomic analysis was performed using a Dionex Ultimate 3000 RSLCnano system coupled to a hybrid linear ion trap/Orbitrap mass spectrometer. Peptide identities were validated in Proteome Discoverer 2.1 and were subsequently imported into Progenesis QI software for further analysis. Hierarchical cluster analysis for all three parallel datasets (miRNA, proteomics, mRNA) was conducted in the R software environment using the Euclidean distance measure and Ward’s clustering algorithm. The prediction of miRNA and oppositely correlated protein/mRNA interactions was performed using TargetScan 6.1. GO biological process, molecular function and cellular component enrichment analysis was carried out for the DE miRNA, protein and mRNA lists via the Pathway Studio 11.3 Web interface using their Mammalian database.

RESULTS

Differential expression (DE) profiling comparing the intestinal cell lines HT-29 and Caco-2 identified 1795 Genes, 168 Proteins and 160 miRNAs as DE between the two cell lines. At the gene level, 1084 genes were upregulated and 711 were downregulated in the Caco-2 cell line relative to the HT-29 cell line. At the protein level, 57 proteins were found to be upregulated and 111 downregulated in the Caco-2 cell line relative to the HT-29 cell line. Finally, at the miRNAs level, 104 were upregulated and 56 downregulated in the Caco-2 cell line relative to the HT-29 cell line. Gene ontology (GO) analysis of the DE mRNA identified cell adhesion, migration and ECM organization, cellular lipid and cholesterol metabolic processes, small molecule transport and a range of responses to external stimuli, while similar analysis of the DE protein list identified gene expression/transcription, epigenetic mechanisms, DNA replication, differentiation and translation ontology categories. The DE protein and gene lists were found to share 15 biological processes including for example epithelial cell differentiation [P value ≤ 1.81613E-08 (protein list); P ≤ 0.000434311 (gene list)] and actin filament bundle assembly [P value ≤ 0.001582797 (protein list); P ≤ 0.002733714 (gene list)]. Analysis was conducted on the three data streams acquired in parallel to identify targets undergoing potential miRNA translational repression identified 34 proteins, whose respective mRNAs were detected but no change in expression was observed. Of these 34 proteins, 27 proteins downregulated in the Caco-2 cell line relative to the HT-29 cell line and predicted to be targeted by 19 unique anti-correlated/upregulated microRNAs and 7 proteins upregulated in the Caco-2 cell line relative to the HT-29 cell line and predicted to be targeted by 15 unique anti-correlated/downregulated microRNAs.

CONCLUSION

This first study providing “tri-omics” analysis of the principal intestinal cell line models Caco-2 and HT-29 has identified 34 proteins potentially undergoing miRNA translational repression.

Keywords: Caco-2, HT-29, Microarray, Proteomics, miRNA, Targetscan, Gene ontology

Core tip: Unique triomics analysis of Caco-2 and HT-29, two commonly used in vitro cell lines models of the intestine, was conducted. This analysis not only provided data on differentially expressed mRNAs, miRNAs and proteins but also allowed the identification of miRNA-regulated proteins differentially expressed between these two cell lines.