Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering

Characterization of the molecular mechanisms involved in tumor cell clustering could open the way to new therapeutic strategies. Towards this aim, we used an in vitro quantitative procedure to monitor the anchorage-independent cell aggregation kinetics in a panel of 25 cancer cell lines. The analysi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Fabien Gava, Julie Pignolet, Sébastien Déjean, Odile Mondésert, Renaud Morin, Joseph Agossa, Bernard Ducommun, Valérie Lobjois
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cancer cell clustering anchorage-independent aggregation transcriptional expression Connectivity Map HDAC inhibitors Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/7fbc2370ea7e4d499deca56e9773a8ed
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7fbc2370ea7e4d499deca56e9773a8ed
record_format	dspace
spelling	oai:doaj.org-article:7fbc2370ea7e4d499deca56e9773a8ed2021-11-25T17:04:38ZQuantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering10.3390/cancers132258402072-6694https://doaj.org/article/7fbc2370ea7e4d499deca56e9773a8ed2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5840https://doaj.org/toc/2072-6694Characterization of the molecular mechanisms involved in tumor cell clustering could open the way to new therapeutic strategies. Towards this aim, we used an in vitro quantitative procedure to monitor the anchorage-independent cell aggregation kinetics in a panel of 25 cancer cell lines. The analysis of the relationship between selected aggregation dynamic parameters and the gene expression data for these cell lines from the CCLE database allowed identifying genes with expression significantly associated with aggregation parameter variations. Comparison of these transcripts with the perturbagen signatures from the Connectivity Map resource highlighted that they were strongly correlated with the transcriptional signature of most histone deacetylase (HDAC) inhibitors. Experimental evaluation of two HDAC inhibitors (SAHA and ISOX) showed that they inhibited the initial step of in vitro tumor cell aggregation. This validates our findings and reinforces the potential interest of HDCA inhibitors to prevent metastasis spreading.Fabien GavaJulie PignoletSébastien DéjeanOdile MondésertRenaud MorinJoseph AgossaBernard DucommunValérie LobjoisMDPI AGarticlecancer cell clusteringanchorage-independent aggregationtranscriptional expressionConnectivity MapHDAC inhibitorsNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5840, p 5840 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cancer cell clustering anchorage-independent aggregation transcriptional expression Connectivity Map HDAC inhibitors Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	cancer cell clustering anchorage-independent aggregation transcriptional expression Connectivity Map HDAC inhibitors Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Fabien Gava Julie Pignolet Sébastien Déjean Odile Mondésert Renaud Morin Joseph Agossa Bernard Ducommun Valérie Lobjois Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering
description	Characterization of the molecular mechanisms involved in tumor cell clustering could open the way to new therapeutic strategies. Towards this aim, we used an in vitro quantitative procedure to monitor the anchorage-independent cell aggregation kinetics in a panel of 25 cancer cell lines. The analysis of the relationship between selected aggregation dynamic parameters and the gene expression data for these cell lines from the CCLE database allowed identifying genes with expression significantly associated with aggregation parameter variations. Comparison of these transcripts with the perturbagen signatures from the Connectivity Map resource highlighted that they were strongly correlated with the transcriptional signature of most histone deacetylase (HDAC) inhibitors. Experimental evaluation of two HDAC inhibitors (SAHA and ISOX) showed that they inhibited the initial step of in vitro tumor cell aggregation. This validates our findings and reinforces the potential interest of HDCA inhibitors to prevent metastasis spreading.
format	article
author	Fabien Gava Julie Pignolet Sébastien Déjean Odile Mondésert Renaud Morin Joseph Agossa Bernard Ducommun Valérie Lobjois
author_facet	Fabien Gava Julie Pignolet Sébastien Déjean Odile Mondésert Renaud Morin Joseph Agossa Bernard Ducommun Valérie Lobjois
author_sort	Fabien Gava
title	Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering
title_short	Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering
title_full	Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering
title_fullStr	Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering
title_full_unstemmed	Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering
title_sort	quantitative analysis of cell aggregation dynamics identifies hdac inhibitors as potential regulators of cancer cell clustering
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7fbc2370ea7e4d499deca56e9773a8ed
work_keys_str_mv	AT fabiengava quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering AT juliepignolet quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering AT sebastiendejean quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering AT odilemondesert quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering AT renaudmorin quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering AT josephagossa quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering AT bernardducommun quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering AT valerielobjois quantitativeanalysisofcellaggregationdynamicsidentifieshdacinhibitorsaspotentialregulatorsofcancercellclustering
_version_	1718412722825068544

Quantitative Analysis of Cell Aggregation Dynamics Identifies HDAC Inhibitors as Potential Regulators of Cancer Cell Clustering

Ejemplares similares