Contextualization of causal regulatory networks from toxicogenomics data applied to drug-induced liver injury. (10th October 2021)
- Record Type:
- Journal Article
- Title:
- Contextualization of causal regulatory networks from toxicogenomics data applied to drug-induced liver injury. (10th October 2021)
- Main Title:
- Contextualization of causal regulatory networks from toxicogenomics data applied to drug-induced liver injury
- Authors:
- Trairatphisan, Panuwat
de Souza, Terezinha Maria
Kleinjans, Jos
Jennen, Danyel
Saez-Rodriguez, Julio - Abstract:
- Highlights: Network-based approaches recently gain an interest to analyze toxicogenomics data. Aberrant cell signaling in DILI can be uncovered by a causal reasoning approach. "LCK -> SOCS3 -| TFDP1" might be relevant to the pathogenesis of liver fibrosis. Identified fibrosis-inducing networks of rat & human hepatocytes are not conserved. Abstract: In recent years, network-based methods have become an attractive analytical approach for toxicogenomics studies. They can capture not only the global changes of regulatory gene networks but also the relationships between their components. Among them, a causal reasoning approach depicts the mechanisms of regulation that connect upstream regulators in signaling networks to their downstream gene targets. In this work, we applied CARNIVAL, a causal network contextualisation tool, to infer upstream signaling networks deregulated in drug-induced liver injury (DILI) from gene expression microarray data from the TG-GATEs database. We focussed on six compounds that induce observable histopathologies linked to DILI from repeated dosing experiments in rats. We compared responses in vitro and in vivo to identify potential cross-platform concordances in rats as well as network preservations between rat and human. Our results showed similarities of enriched pathways and network motifs between compounds. These pathways and motifs induced the same pathology in rats but not in humans. In particular, the causal interactions "LCK activates SOCS3,Highlights: Network-based approaches recently gain an interest to analyze toxicogenomics data. Aberrant cell signaling in DILI can be uncovered by a causal reasoning approach. "LCK -> SOCS3 -| TFDP1" might be relevant to the pathogenesis of liver fibrosis. Identified fibrosis-inducing networks of rat & human hepatocytes are not conserved. Abstract: In recent years, network-based methods have become an attractive analytical approach for toxicogenomics studies. They can capture not only the global changes of regulatory gene networks but also the relationships between their components. Among them, a causal reasoning approach depicts the mechanisms of regulation that connect upstream regulators in signaling networks to their downstream gene targets. In this work, we applied CARNIVAL, a causal network contextualisation tool, to infer upstream signaling networks deregulated in drug-induced liver injury (DILI) from gene expression microarray data from the TG-GATEs database. We focussed on six compounds that induce observable histopathologies linked to DILI from repeated dosing experiments in rats. We compared responses in vitro and in vivo to identify potential cross-platform concordances in rats as well as network preservations between rat and human. Our results showed similarities of enriched pathways and network motifs between compounds. These pathways and motifs induced the same pathology in rats but not in humans. In particular, the causal interactions "LCK activates SOCS3, which in turn inhibits TFDP1" was commonly identified as a regulatory path among the fibrosis-inducing compounds. This potential pathology-inducing regulation illustrates the value of our approach to generate hypotheses that can be further validated experimentally. … (more)
- Is Part Of:
- Toxicology letters. Volume 350(2021)
- Journal:
- Toxicology letters
- Issue:
- Volume 350(2021)
- Issue Display:
- Volume 350, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 350
- Issue:
- 2021
- Issue Sort Value:
- 2021-0350-2021-0000
- Page Start:
- 40
- Page End:
- 51
- Publication Date:
- 2021-10-10
- Subjects:
- Causal reasoning -- Pathway footprints -- Signaling networks -- Network contextualization -- Toxicogenomics -- Drug-induced liver injury (DILI)
Toxicology -- Periodicals
363.179 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03784274 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.toxlet.2021.06.020 ↗
- Languages:
- English
- ISSNs:
- 0378-4274
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8873.042000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18485.xml