BMC BioinformaticsBioinformaticsPeer-reviewed journal article
On the correspondence between the transcriptomic response of a compound and its effects on its targets
Chloe Engler HartiD, Daniel EnceiD, David HealeyiD, Daniel Domingo‐FernándéziD
Abstract
Better understanding the transcriptomic response produced by a compound perturbing its targets can shed light on the underlying biological processes regulated by the compound. However, establishing the relationship between the induced transcriptomic response and the target of a compound is non-trivial, partly because targets are rarely differentially expressed. Thus, connecting both modalities requires orthogonal information (e.g., pathway or functional information). Here, we present a comprehensive study aimed at exploring this relationship by leveraging thousands of transcriptomic experiments and target data for over 2,000 compounds. Firstly, we confirmed that compound-target information does not correlate as expected with the transcriptomic signatures induced by a compound. However, we demonstrate how the concordance between both modalities can be increased by connecting pathway and target information. Additionally, we investigated whether compounds that target the same proteins induce a similar transcriptomic response and conversely, whether compounds with similar transcriptomic responses share the same target proteins. While our findings suggest that this is generally not the case, we did observe that compounds with similar transcriptomic profiles are more likely to share at least one protein target, as well as common therapeutic applications. Lastly, we present a case scenario on a few compound pairs with high similarity to demonstrate how the relationship between both modalities can be exploited for mechanism of action deconvolution.
- Citations
- 3
- FWCI
- 0.43
- Field percentile
- top 43%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Predicting protein targets for drug-like compounds using transcriptomics
Nicolas A Pabon, Yan Xia, … Ziv Bar‐Joseph·PLoS Computational BiologyPeer-reviewed·Dec 7, 2018
- Probing the chemical-biological relationship space with the Drug Target Explorer
R. Allaway, S. La Rosa, … S. J. Gosline·bioRxiv·May 3, 2018
- Cell morphological representations of genes enhance prediction of drug targets
Niveditha S. Iyer, Daniel J. Michael, … Shantanu Singh·bioRxiv·Jun 8, 2024
- MAVEN: Compound mechanism of action analysis and visualisation using transcriptomics and compound structure data in R/Shiny
Layla Hosseini-Gerami, Rosa D. Hernansaiz-Ballesteros, … Andreas Bender·BMC BioinformaticsPeer-reviewed·Sep 15, 2023
- Predicting Transcriptional Responses to Unseen Compounds through Context Modeling and Multi-View Transfer
Yuqi Lei, Hanzhe Liang, … Jun Wen·bioRxiv·Nov 6, 2026
- Computational target fishing by mining transcriptional data using a novel Siamese spectral-based graph convolutional network
Feisheng Zhong, Xiaolong Wu, … Mingyue Zheng·bioRxiv·Apr 1, 2020