Cargando…

Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death

The emerging tumor-on-chip (ToC) approaches allow to address biomedical questions out of reach with classical cell culture techniques: in biomimetic 3D hydrogels they partially reconstitute ex vivo the complexity of the tumor microenvironment and the cellular dynamics involving multiple cell types (...

Descripción completa

Detalles Bibliográficos
Autores principales: Veith, Irina, Mencattini, Arianna, Picant, Valentin, Serra, Marco, Leclerc, Marine, Comes, Maria Colomba, Mami-Chouaib, Fathia, Camonis, Jacques, Descroix, Stéphanie, Shirvani, Hamasseh, Mechta-Grigoriou, Fatima, Zalcman, Gérard, Parrini, Maria Carla, Martinelli, Eugenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034728/
https://www.ncbi.nlm.nih.gov/pubmed/33784299
http://dx.doi.org/10.1371/journal.pcbi.1008870
_version_ 1783676587393155072
author Veith, Irina
Mencattini, Arianna
Picant, Valentin
Serra, Marco
Leclerc, Marine
Comes, Maria Colomba
Mami-Chouaib, Fathia
Camonis, Jacques
Descroix, Stéphanie
Shirvani, Hamasseh
Mechta-Grigoriou, Fatima
Zalcman, Gérard
Parrini, Maria Carla
Martinelli, Eugenio
author_facet Veith, Irina
Mencattini, Arianna
Picant, Valentin
Serra, Marco
Leclerc, Marine
Comes, Maria Colomba
Mami-Chouaib, Fathia
Camonis, Jacques
Descroix, Stéphanie
Shirvani, Hamasseh
Mechta-Grigoriou, Fatima
Zalcman, Gérard
Parrini, Maria Carla
Martinelli, Eugenio
author_sort Veith, Irina
collection PubMed
description The emerging tumor-on-chip (ToC) approaches allow to address biomedical questions out of reach with classical cell culture techniques: in biomimetic 3D hydrogels they partially reconstitute ex vivo the complexity of the tumor microenvironment and the cellular dynamics involving multiple cell types (cancer cells, immune cells, fibroblasts, etc.). However, a clear bottleneck is the extraction and interpretation of the rich biological information contained, sometime hidden, in the cell co-culture videos. In this work, we develop and apply novel video analysis algorithms to automatically measure the cytotoxic effects on human cancer cells (lung and breast) induced either by doxorubicin chemotherapy drug or by autologous tumor-infiltrating cytotoxic T lymphocytes (CTL). A live fluorescent dye (red) is used to selectively pre-stain the cancer cells before co-cultures and a live fluorescent reporter for caspase activity (green) is used to monitor apoptotic cell death. The here described open-source computational method, named STAMP (spatiotemporal apoptosis mapper), extracts the temporal kinetics and the spatial maps of cancer death, by localizing and tracking cancer cells in the red channel, and by counting the red to green transition signals, over 2–3 days. The robustness and versatility of the method is demonstrated by its application to different cell models and co-culture combinations. Noteworthy, this approach reveals the strong contribution of primary cancer-associated fibroblasts (CAFs) to breast cancer chemo-resistance, proving to be a powerful strategy to investigate intercellular cross-talks and drug resistance mechanisms. Moreover, we defined a new parameter, the ‘potential of death induction’, which is computed in time and in space to quantify the impact of dying cells on neighbor cells. We found that, contrary to natural death, cancer death induced by chemotherapy or by CTL is transmissible, in that it promotes the death of nearby cancer cells, suggesting the release of diffusible factors which amplify the initial cytotoxic stimulus.
format Online
Article
Text
id pubmed-8034728
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-80347282021-04-15 Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death Veith, Irina Mencattini, Arianna Picant, Valentin Serra, Marco Leclerc, Marine Comes, Maria Colomba Mami-Chouaib, Fathia Camonis, Jacques Descroix, Stéphanie Shirvani, Hamasseh Mechta-Grigoriou, Fatima Zalcman, Gérard Parrini, Maria Carla Martinelli, Eugenio PLoS Comput Biol Research Article The emerging tumor-on-chip (ToC) approaches allow to address biomedical questions out of reach with classical cell culture techniques: in biomimetic 3D hydrogels they partially reconstitute ex vivo the complexity of the tumor microenvironment and the cellular dynamics involving multiple cell types (cancer cells, immune cells, fibroblasts, etc.). However, a clear bottleneck is the extraction and interpretation of the rich biological information contained, sometime hidden, in the cell co-culture videos. In this work, we develop and apply novel video analysis algorithms to automatically measure the cytotoxic effects on human cancer cells (lung and breast) induced either by doxorubicin chemotherapy drug or by autologous tumor-infiltrating cytotoxic T lymphocytes (CTL). A live fluorescent dye (red) is used to selectively pre-stain the cancer cells before co-cultures and a live fluorescent reporter for caspase activity (green) is used to monitor apoptotic cell death. The here described open-source computational method, named STAMP (spatiotemporal apoptosis mapper), extracts the temporal kinetics and the spatial maps of cancer death, by localizing and tracking cancer cells in the red channel, and by counting the red to green transition signals, over 2–3 days. The robustness and versatility of the method is demonstrated by its application to different cell models and co-culture combinations. Noteworthy, this approach reveals the strong contribution of primary cancer-associated fibroblasts (CAFs) to breast cancer chemo-resistance, proving to be a powerful strategy to investigate intercellular cross-talks and drug resistance mechanisms. Moreover, we defined a new parameter, the ‘potential of death induction’, which is computed in time and in space to quantify the impact of dying cells on neighbor cells. We found that, contrary to natural death, cancer death induced by chemotherapy or by CTL is transmissible, in that it promotes the death of nearby cancer cells, suggesting the release of diffusible factors which amplify the initial cytotoxic stimulus. Public Library of Science 2021-03-30 /pmc/articles/PMC8034728/ /pubmed/33784299 http://dx.doi.org/10.1371/journal.pcbi.1008870 Text en © 2021 Veith et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Veith, Irina
Mencattini, Arianna
Picant, Valentin
Serra, Marco
Leclerc, Marine
Comes, Maria Colomba
Mami-Chouaib, Fathia
Camonis, Jacques
Descroix, Stéphanie
Shirvani, Hamasseh
Mechta-Grigoriou, Fatima
Zalcman, Gérard
Parrini, Maria Carla
Martinelli, Eugenio
Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death
title Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death
title_full Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death
title_fullStr Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death
title_full_unstemmed Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death
title_short Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death
title_sort apoptosis mapping in space and time of 3d tumor ecosystems reveals transmissibility of cytotoxic cancer death
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034728/
https://www.ncbi.nlm.nih.gov/pubmed/33784299
http://dx.doi.org/10.1371/journal.pcbi.1008870
work_keys_str_mv AT veithirina apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT mencattiniarianna apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT picantvalentin apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT serramarco apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT leclercmarine apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT comesmariacolomba apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT mamichouaibfathia apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT camonisjacques apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT descroixstephanie apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT shirvanihamasseh apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT mechtagrigorioufatima apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT zalcmangerard apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT parrinimariacarla apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath
AT martinellieugenio apoptosismappinginspaceandtimeof3dtumorecosystemsrevealstransmissibilityofcytotoxiccancerdeath