BLCA-RegMap portal: a co-regulatory influence ...
Type de document :
Communication dans un congrès avec actes
Titre :
BLCA-RegMap portal: a co-regulatory influence network view of bladder cancer heterogeneity
Auteur(s) :
Pawlak, Geoffrey [Auteur]
Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Puig, Julia [Auteur]
Modeling & analysis for medical imaging and Diagnosis [MYRIAD]
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé [CREATIS]
Dispot, Aurélien [Auteur]
Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Dhifli, Wajdi [Auteur]
Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Elati, Mohamed [Auteur]
Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Puig, Julia [Auteur]
Modeling & analysis for medical imaging and Diagnosis [MYRIAD]
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé [CREATIS]
Dispot, Aurélien [Auteur]
Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Dhifli, Wajdi [Auteur]

Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Elati, Mohamed [Auteur]

Hétérogénéité, Plasticité et Résistance aux Thérapies des Cancers = Cancer Heterogeneity, Plasticity and Resistance to Therapies - UMR 9020 - U 1277 [CANTHER]
Titre de la manifestation scientifique :
25th international bladder cancer network
Organisateur(s) de la manifestation scientifique :
IBCN
Ville :
Barcelona
Pays :
Espagne
Date de début de la manifestation scientifique :
2022-09-29
Date de publication :
2022-09-29
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Informatique [cs]
Informatique [cs]
Résumé en anglais : [en]
Introduction: Bladder cancer studies performed in a variety of laboratories and by anumber of large-scale projects have given an unparalleled amount of information on tumors and in vitro models. Consolidating these data ...
Lire la suite >Introduction: Bladder cancer studies performed in a variety of laboratories and by anumber of large-scale projects have given an unparalleled amount of information on tumors and in vitro models. Consolidating these data into an easily accessible and comprehensive system-level format is crucial to accelerate systems oncology model development.Methods: We combined network biology with machine learning and visualizationtechniques to execute a cycle of systems oncology model development: inference of the coregulatory networks (from transformed cells in vitro), interrogation of the tumors in vivo using the inferred networks, and intervention with the network (feeding back to the in vitro tumor models). First, analysis of the in vitro gene expression profiles of 36 bladder cancer cell lines of the CCLE with CoRegNet yields to the reconstruction of the first co-regulatory influence network (BLCA-CoRegNet) that contains 359 TFs/co-TFs linked by 508 significant co-operativity interactions and regulating 6,374 targets genes. Second, BLCA-CoRegNet based influence map (BLCA-RegMap), is built using a meta-cohorts of > 2500 tumours and >100 cell lines transcriptome profiles.Results: We introduce BLCA-RegMap a powerful web-based tool to help researchers torapidly access a co-regulatory influence network view of bladder cancer heterogeneity and plasticity. BLCA-RegMap allow user to: explore the similarities and differences between cancer subtypes and identify their possible core regulators; identify rare subtypes; align tumor and cell line transcriptional profiles; and define new targets related to the different states and plasticity of the tumours (undifferentiated vs differentiated, therapy sensitive vs resistant cells, etc.). BLCA-RegMap has a very intuitive interface, and no bioinformatics skills are required. For all the networks and plots that are generated, the user can run different annotation (classification, genomic alteration and clinical), add new transcriptome data, and the raw data to reproduce the plots can be downloaded for future analysis or publications.Conclusions: The identification of regulatory networks and the study of their plasticityshould allow to identify efficient therapeutic strategies and will pave the way for precision oncology.Lire moins >
Lire la suite >Introduction: Bladder cancer studies performed in a variety of laboratories and by anumber of large-scale projects have given an unparalleled amount of information on tumors and in vitro models. Consolidating these data into an easily accessible and comprehensive system-level format is crucial to accelerate systems oncology model development.Methods: We combined network biology with machine learning and visualizationtechniques to execute a cycle of systems oncology model development: inference of the coregulatory networks (from transformed cells in vitro), interrogation of the tumors in vivo using the inferred networks, and intervention with the network (feeding back to the in vitro tumor models). First, analysis of the in vitro gene expression profiles of 36 bladder cancer cell lines of the CCLE with CoRegNet yields to the reconstruction of the first co-regulatory influence network (BLCA-CoRegNet) that contains 359 TFs/co-TFs linked by 508 significant co-operativity interactions and regulating 6,374 targets genes. Second, BLCA-CoRegNet based influence map (BLCA-RegMap), is built using a meta-cohorts of > 2500 tumours and >100 cell lines transcriptome profiles.Results: We introduce BLCA-RegMap a powerful web-based tool to help researchers torapidly access a co-regulatory influence network view of bladder cancer heterogeneity and plasticity. BLCA-RegMap allow user to: explore the similarities and differences between cancer subtypes and identify their possible core regulators; identify rare subtypes; align tumor and cell line transcriptional profiles; and define new targets related to the different states and plasticity of the tumours (undifferentiated vs differentiated, therapy sensitive vs resistant cells, etc.). BLCA-RegMap has a very intuitive interface, and no bioinformatics skills are required. For all the networks and plots that are generated, the user can run different annotation (classification, genomic alteration and clinical), add new transcriptome data, and the raw data to reproduce the plots can be downloaded for future analysis or publications.Conclusions: The identification of regulatory networks and the study of their plasticityshould allow to identify efficient therapeutic strategies and will pave the way for precision oncology.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
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