Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ravel, Jean-Marie, Monraz Gomez, L. Cristobal, Sompairac, Nicolas, Calzone, Laurence, Zhivotovsky, Boris, Kroemer, Guido, Barillot, Emmanuel, Zinovyev, Andrei, Kuperstein, Inna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226067/
https://www.ncbi.nlm.nih.gov/pubmed/32316560
http://dx.doi.org/10.3390/cancers12040990
_version_ 1783534201898795008
author Ravel, Jean-Marie
Monraz Gomez, L. Cristobal
Sompairac, Nicolas
Calzone, Laurence
Zhivotovsky, Boris
Kroemer, Guido
Barillot, Emmanuel
Zinovyev, Andrei
Kuperstein, Inna
author_facet Ravel, Jean-Marie
Monraz Gomez, L. Cristobal
Sompairac, Nicolas
Calzone, Laurence
Zhivotovsky, Boris
Kroemer, Guido
Barillot, Emmanuel
Zinovyev, Andrei
Kuperstein, Inna
author_sort Ravel, Jean-Marie
collection PubMed
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.
format Online
Article
Text
id pubmed-7226067
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-72260672020-05-18 Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases Ravel, Jean-Marie Monraz Gomez, L. Cristobal Sompairac, Nicolas Calzone, Laurence Zhivotovsky, Boris Kroemer, Guido Barillot, Emmanuel Zinovyev, Andrei Kuperstein, Inna Cancers (Basel) Article 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. MDPI 2020-04-17 /pmc/articles/PMC7226067/ /pubmed/32316560 http://dx.doi.org/10.3390/cancers12040990 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ravel, Jean-Marie
Monraz Gomez, L. Cristobal
Sompairac, Nicolas
Calzone, Laurence
Zhivotovsky, Boris
Kroemer, Guido
Barillot, Emmanuel
Zinovyev, Andrei
Kuperstein, Inna
Comprehensive Map of the Regulated Cell Death Signaling Network: A Powerful Analytical Tool for Studying Diseases
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226067/
https://www.ncbi.nlm.nih.gov/pubmed/32316560
http://dx.doi.org/10.3390/cancers12040990
work_keys_str_mv AT raveljeanmarie comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT monrazgomezlcristobal comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT sompairacnicolas comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT calzonelaurence comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT zhivotovskyboris comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT kroemerguido comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT barillotemmanuel comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT zinovyevandrei comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases
AT kupersteininna comprehensivemapoftheregulatedcelldeathsignalingnetworkapowerfulanalyticaltoolforstudyingdiseases