Brief Research Report ARTICLE
Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases using MDP webtool
- 1University of São Paulo, Brazil
- 2University of Chile, Chile
- 3University College London, United Kingdom
- 4School of Pharmaceutical Sciences, University of São Paulo, Brazil
Transcriptome analyses have increased our understanding of the molecular mechanisms underlying human diseases. Most approaches aim to identify significant genes by comparing their expression values between healthy subjects and a group of patients with a certain disease. Given that studies normally contain few samples, the heterogeneity among individuals caused by environmental factors or undetected illnesses can impact gene expression analyses. We present a systematic analysis of sample heterogeneity in a variety of gene expression studies relating to inflammatory and infectious diseases, and show that novel immunological insights may arise once heterogeneity is addressed. The perturbation score of samples is quantified using non-perturbed subjects (i.e. healthy subjects) as a reference group. Such a score allows us to detect outlying samples, sub-groups of diseased patients, and even assess the molecular perturbation of single-cells infected with viruses. We also show how removal of outlying samples can improve the “signal” of the disease and impact detection of differentially expressed genes. The method is made available via the mdp Bioconductor R package and as a user-friendly webtool, webMDP, available at http://mdp.sysbio.tools.
Keywords: Transcriptome, Webtool, heterogeneity, perturbation, expression analysis
Received: 09 Apr 2019;
Accepted: 11 Sep 2019.
Copyright: © 2019 Aquime Gonçalves, Lever, Russo, Gomes-Correia, Urbanski, Pollara, Noursadeghi, Maracaja-Coutinho and Nakaya. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Helder I. Nakaya, University of São Paulo, School of Pharmaceutical Sciences, São Paulo, Georgia, Brazil, email@example.com