Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases

The processes leading to, or avoiding cell death are widely studied, because of their frequent perturbation in various diseases. Cell death occurs in three highly interconnected steps: Initiation, signaling and execution. We used a systems biology approach to gather information about all known modes...

Full description

Bibliographic Details
Main Authors: Jean-Marie Ravel, L. Cristobal Monraz Gomez, Nicolas Sompairac, Laurence Calzone, Boris Zhivotovsky, Guido Kroemer, Emmanuel Barillot, Andrei Zinovyev, Inna Kuperstein
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/4/990
_version_ 1797570339981492224
author Jean-Marie Ravel
L. Cristobal Monraz Gomez
Nicolas Sompairac
Laurence Calzone
Boris Zhivotovsky
Guido Kroemer
Emmanuel Barillot
Andrei Zinovyev
Inna Kuperstein
author_facet Jean-Marie Ravel
L. Cristobal Monraz Gomez
Nicolas Sompairac
Laurence Calzone
Boris Zhivotovsky
Guido Kroemer
Emmanuel Barillot
Andrei Zinovyev
Inna Kuperstein
author_sort Jean-Marie Ravel
collection DOAJ
description The processes leading to, or avoiding cell death are widely studied, because of their frequent perturbation in various diseases. Cell death occurs in three highly interconnected steps: Initiation, signaling and execution. We used a systems biology approach to gather information about all known modes of regulated cell death (RCD). Based on the experimental data retrieved from literature by manual curation, we graphically depicted the biological processes involved in RCD in the form of a seamless comprehensive signaling network map. The molecular mechanisms of each RCD mode are represented in detail. The RCD network map is divided into 26 functional modules that can be visualized contextually in the whole seamless network, as well as in individual diagrams. The resource is freely available and accessible via several web platforms for map navigation, data integration, and analysis. The RCD network map was employed for interpreting the functional differences in cell death regulation between Alzheimer’s disease and non-small cell lung cancer based on gene expression data that allowed emphasizing the molecular mechanisms underlying the inverse comorbidity between the two pathologies. In addition, the map was used for the analysis of genomic and transcriptomic data from ovarian cancer patients that provided RCD map-based signatures of four distinct tumor subtypes and highlighted the difference in regulations of cell death molecular mechanisms.
first_indexed 2024-03-10T20:24:32Z
format Article
id doaj.art-c79b893f747644929aa3df7cde2f1b06
institution Directory Open Access Journal
issn 2072-6694
language English
last_indexed 2024-03-10T20:24:32Z
publishDate 2020-04-01
publisher MDPI AG
record_format Article
series Cancers
spelling doaj.art-c79b893f747644929aa3df7cde2f1b062023-11-19T21:56:42ZengMDPI AGCancers2072-66942020-04-0112499010.3390/cancers12040990Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying DiseasesJean-Marie Ravel0L. Cristobal Monraz Gomez1Nicolas Sompairac2Laurence Calzone3Boris Zhivotovsky4Guido Kroemer5Emmanuel Barillot6Andrei Zinovyev7Inna Kuperstein8Institut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005 Paris, FranceInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005 Paris, FranceInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005 Paris, FranceInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005 Paris, FranceFaculty of Medicine, Lomonosov Moscow State University, 119991 Moscow, RussiaCentre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, Inserm U1138, Institut Universitaire de France, 75006 Paris, FranceInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005 Paris, FranceInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005 Paris, FranceInstitut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, 75005 Paris, FranceThe processes leading to, or avoiding cell death are widely studied, because of their frequent perturbation in various diseases. Cell death occurs in three highly interconnected steps: Initiation, signaling and execution. We used a systems biology approach to gather information about all known modes of regulated cell death (RCD). Based on the experimental data retrieved from literature by manual curation, we graphically depicted the biological processes involved in RCD in the form of a seamless comprehensive signaling network map. The molecular mechanisms of each RCD mode are represented in detail. The RCD network map is divided into 26 functional modules that can be visualized contextually in the whole seamless network, as well as in individual diagrams. The resource is freely available and accessible via several web platforms for map navigation, data integration, and analysis. The RCD network map was employed for interpreting the functional differences in cell death regulation between Alzheimer’s disease and non-small cell lung cancer based on gene expression data that allowed emphasizing the molecular mechanisms underlying the inverse comorbidity between the two pathologies. In addition, the map was used for the analysis of genomic and transcriptomic data from ovarian cancer patients that provided RCD map-based signatures of four distinct tumor subtypes and highlighted the difference in regulations of cell death molecular mechanisms.https://www.mdpi.com/2072-6694/12/4/990regulated cell deathsurvivalsignaling networkcomprehensive mapbiocurationdata visualization
spellingShingle Jean-Marie Ravel
L. Cristobal Monraz Gomez
Nicolas Sompairac
Laurence Calzone
Boris Zhivotovsky
Guido Kroemer
Emmanuel Barillot
Andrei Zinovyev
Inna Kuperstein
Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases
Cancers
regulated cell death
survival
signaling network
comprehensive map
biocuration
data visualization
title Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases
title_full Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases
title_fullStr Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases
title_full_unstemmed Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases
title_short Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases
title_sort comprehensive map of the regulated cell death signaling network a powerful analytical tool for studying diseases
topic regulated cell death
survival
signaling network
comprehensive map
biocuration
data visualization
url https://www.mdpi.com/2072-6694/12/4/990
work_keys_str_mv AT jeanmarieravel comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT lcristobalmonrazgomez comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT nicolassompairac comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT laurencecalzone comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT boriszhivotovsky comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT guidokroemer comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT emmanuelbarillot comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT andreizinovyev comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT innakuperstein comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases