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1.
BMC Cancer ; 24(1): 587, 2024 May 14.
Artigo em Inglês | MEDLINE | ID: mdl-38741073

RESUMO

YAP and TAZ, the Hippo pathway terminal transcriptional activators, are frequently upregulated in cancers. In tumor cells, they have been mainly associated with increased tumorigenesis controlling different aspects from cell cycle regulation, stemness, or resistance to chemotherapies. In fewer cases, they have also been shown to oppose cancer progression, including by promoting cell death through the action of the p73/YAP transcriptional complex, in particular after chemotherapeutic drug exposure. Using HCT116 cells, we show here that oxaliplatin treatment led to core Hippo pathway down-regulation and nuclear accumulation of TAZ. We further show that TAZ was required for the increased sensitivity of HCT116 cells to oxaliplatin, an effect that appeared independent of p73, but which required the nuclear relocalization of TAZ. Accordingly, Verteporfin and CA3, two drugs affecting the activity of YAP and TAZ, showed antagonistic effects with oxaliplatin in co-treatments. Importantly, using several colorectal cell lines, we show that the sensitizing action of TAZ to oxaliplatin is dependent on the p53 status of the cells. Our results support thus an early action of TAZ to sensitize cells to oxaliplatin, consistent with a model in which nuclear TAZ in the context of DNA damage and p53 activity pushes cells towards apoptosis.


Assuntos
Antineoplásicos , Neoplasias do Colo , Via de Sinalização Hippo , Compostos Organoplatínicos , Oxaliplatina , Proteínas Serina-Treonina Quinases , Transdução de Sinais , Transativadores , Fatores de Transcrição , Proteínas com Motivo de Ligação a PDZ com Coativador Transcricional , Proteína Supressora de Tumor p53 , Humanos , Oxaliplatina/farmacologia , Proteína Supressora de Tumor p53/metabolismo , Proteína Supressora de Tumor p53/genética , Neoplasias do Colo/tratamento farmacológico , Neoplasias do Colo/metabolismo , Neoplasias do Colo/patologia , Neoplasias do Colo/genética , Transativadores/metabolismo , Transativadores/genética , Fatores de Transcrição/metabolismo , Fatores de Transcrição/genética , Células HCT116 , Transdução de Sinais/efeitos dos fármacos , Proteínas Serina-Treonina Quinases/metabolismo , Proteínas Serina-Treonina Quinases/genética , Compostos Organoplatínicos/farmacologia , Compostos Organoplatínicos/uso terapêutico , Antineoplásicos/farmacologia , Peptídeos e Proteínas de Sinalização Intracelular/metabolismo , Peptídeos e Proteínas de Sinalização Intracelular/genética , Resistencia a Medicamentos Antineoplásicos/genética , Proteínas Supressoras de Tumor/metabolismo , Proteínas Supressoras de Tumor/genética , Proteínas Adaptadoras de Transdução de Sinal/metabolismo , Proteínas Adaptadoras de Transdução de Sinal/genética , Verteporfina/farmacologia , Verteporfina/uso terapêutico , Linhagem Celular Tumoral , Proteína Tumoral p73/metabolismo , Proteína Tumoral p73/genética , Proteínas de Sinalização YAP/metabolismo , Porfirinas/farmacologia , Proteínas Nucleares/metabolismo , Proteínas Nucleares/genética , Proteínas de Ligação a DNA/metabolismo , Proteínas de Ligação a DNA/genética , Regulação Neoplásica da Expressão Gênica/efeitos dos fármacos , Apoptose/efeitos dos fármacos
2.
Nucleic Acids Res ; 49(5): 2488-2508, 2021 03 18.
Artigo em Inglês | MEDLINE | ID: mdl-33533919

RESUMO

The ubiquitous family of dimeric transcription factors AP-1 is made up of Fos and Jun family proteins. It has long been thought to operate principally at gene promoters and how it controls transcription is still ill-understood. The Fos family protein Fra-1 is overexpressed in triple negative breast cancers (TNBCs) where it contributes to tumor aggressiveness. To address its transcriptional actions in TNBCs, we combined transcriptomics, ChIP-seqs, machine learning and NG Capture-C. Additionally, we studied its Fos family kin Fra-2 also expressed in TNBCs, albeit much less. Consistently with their pleiotropic effects, Fra-1 and Fra-2 up- and downregulate individually, together or redundantly many genes associated with a wide range of biological processes. Target gene regulation is principally due to binding of Fra-1 and Fra-2 at regulatory elements located distantly from cognate promoters where Fra-1 modulates the recruitment of the transcriptional co-regulator p300/CBP and where differences in AP-1 variant motif recognition can underlie preferential Fra-1- or Fra-2 bindings. Our work also shows no major role for Fra-1 in chromatin architecture control at target gene loci, but suggests collaboration between Fra-1-bound and -unbound enhancers within chromatin hubs sometimes including promoters for other Fra-1-regulated genes. Our work impacts our view of AP-1.


Assuntos
Elementos Facilitadores Genéticos , Regulação Neoplásica da Expressão Gênica , Proteínas Proto-Oncogênicas c-fos/metabolismo , Neoplasias de Mama Triplo Negativas/genética , Sítios de Ligação , Linhagem Celular Tumoral , Cromatina/química , Cromatina/metabolismo , Epigênese Genética , Antígeno 2 Relacionado a Fos/metabolismo , Humanos , Motivos de Nucleotídeos , Regiões Promotoras Genéticas , Proteínas Proto-Oncogênicas c-fos/fisiologia , Fator de Transcrição AP-1/metabolismo , Neoplasias de Mama Triplo Negativas/metabolismo , Fatores de Transcrição de p300-CBP/metabolismo
3.
PLoS Comput Biol ; 14(1): e1005921, 2018 01.
Artigo em Inglês | MEDLINE | ID: mdl-29293496

RESUMO

Gene expression is orchestrated by distinct regulatory regions to ensure a wide variety of cell types and functions. A challenge is to identify which regulatory regions are active, what are their associated features and how they work together in each cell type. Several approaches have tackled this problem by modeling gene expression based on epigenetic marks, with the ultimate goal of identifying driving regions and associated genomic variations that are clinically relevant in particular in precision medicine. However, these models rely on experimental data, which are limited to specific samples (even often to cell lines) and cannot be generated for all regulators and all patients. In addition, we show here that, although these approaches are accurate in predicting gene expression, inference of TF combinations from this type of models is not straightforward. Furthermore these methods are not designed to capture regulation instructions present at the sequence level, before the binding of regulators or the opening of the chromatin. Here, we probe sequence-level instructions for gene expression and develop a method to explain mRNA levels based solely on nucleotide features. Our method positions nucleotide composition as a critical component of gene expression. Moreover, our approach, able to rank regulatory regions according to their contribution, unveils a strong influence of the gene body sequence, in particular introns. We further provide evidence that the contribution of nucleotide content can be linked to co-regulations associated with genome 3D architecture and to associations of genes within topologically associated domains.


Assuntos
Composição de Bases , Regulação da Expressão Gênica , Sequências Reguladoras de Ácido Nucleico , Biologia Computacional , Variações do Número de Cópias de DNA , Elementos Facilitadores Genéticos , Genoma Humano , Humanos , Modelos Genéticos , Neoplasias/genética , Neoplasias/metabolismo , Polimorfismo de Nucleotídeo Único , Regiões Promotoras Genéticas , Locos de Características Quantitativas , RNA Mensageiro/química , RNA Mensageiro/genética , RNA Mensageiro/metabolismo , Fatores de Transcrição/genética , Fatores de Transcrição/metabolismo
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