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1.
JCI Insight ; 2024 Sep 19.
Artículo en Inglés | MEDLINE | ID: mdl-39298269

RESUMEN

Tumor cell-derived prostaglandin E2 (PGE2) is a tumor cell-intrinsic factor that supports immunosuppression in the tumor microenvironment (TME) by acting on the immune cells, but the impact of PGE2 signaling in tumor cells on immunosuppressive TME is unclear. We demonstrate that deleting the PGE2 synthesis enzyme or disrupting autocrine PGE2 signaling through EP4 receptors on tumor cells reverses the T cell-low, myeloid cell-rich TME, activates T cells, and suppresses tumor growth. Knockout (KO) of Ptges (the gene encoding PGE2 synthesis enzyme mPGES-1) or the EP4 receptor gene (Ptger4) in KPCY (KrasG12D/P53R172H/Yfp/CrePdx) pancreatic tumor cells abolished growth of implanted tumors in a T cell-dependent manner. Blockade of the EP4 receptor in combination with immunotherapy, but not immunotherapy alone, induced complete tumor regressions and immunological memory. Mechanistically, Ptges and Ptger4 KO tumor cells exhibited altered T and myeloid cell attractant chemokines, became more susceptible to TNF-α killing, and exhibited reduced adenosine synthesis. In hosts treated with an adenosine deaminase inhibitor, Ptger4 KO tumor cells accumulated adenosine and gave rise to tumors. These studies reveal an unexpected finding - a non-redundant role for the autocrine mPGES1-PGE2-EP4 signaling axis in pancreatic cancer cells - further nominating mPGES-1 inhibition and EP4 blockade as immune-sensitizing therapy in cancer.

2.
Nat Biomed Eng ; 5(4): 360-376, 2021 04.
Artículo en Inglés | MEDLINE | ID: mdl-33859388

RESUMEN

In cancer, linking epigenetic alterations to drivers of transformation has been difficult, in part because DNA methylation analyses must capture epigenetic variability, which is central to tumour heterogeneity and tumour plasticity. Here, by conducting a comprehensive analysis, based on information theory, of differences in methylation stochasticity in samples from patients with paediatric acute lymphoblastic leukaemia (ALL), we show that ALL epigenomes are stochastic and marked by increased methylation entropy at specific regulatory regions and genes. By integrating DNA methylation and single-cell gene-expression data, we arrived at a relationship between methylation entropy and gene-expression variability, and found that epigenetic changes in ALL converge on a shared set of genes that overlap with genetic drivers involved in chromosomal translocations across the disease spectrum. Our findings suggest that an epigenetically driven gene-regulation network, with UHRF1 (ubiquitin-like with PHD and RING finger domains 1) as a central node, links genetic drivers and epigenetic mediators in ALL.


Asunto(s)
Epigénesis Genética , Modelos Teóricos , Leucemia-Linfoma Linfoblástico de Células Precursoras/genética , Proteínas Potenciadoras de Unión a CCAAT/genética , Niño , Subunidad alfa 2 del Factor de Unión al Sitio Principal/genética , Análisis Citogenético , Metilación de ADN , Entropía , Edición Génica , Regulación Neoplásica de la Expresión Génica , Humanos , Proteínas de Fusión Oncogénica/genética , Leucemia-Linfoma Linfoblástico de Células Precursoras/patología , RNA-Seq , Análisis de la Célula Individual , Procesos Estocásticos , Ubiquitina-Proteína Ligasas/genética
3.
Nat Neurosci ; 22(2): 307-316, 2019 02.
Artículo en Inglés | MEDLINE | ID: mdl-30643296

RESUMEN

Epigenetic modifications confer stable transcriptional patterns in the brain, and both normal and abnormal brain function involve specialized brain regions. We examined DNA methylation by whole-genome bisulfite sequencing in neuronal and non-neuronal populations from four brain regions (anterior cingulate gyrus, hippocampus, prefrontal cortex, and nucleus accumbens) as well as chromatin accessibility in the latter two. We find pronounced differences in both CpG and non-CpG methylation (CG-DMRs and CH-DMRs) only in neuronal cells across brain regions. Neuronal CH-DMRs were highly associated with differential gene expression, whereas CG-DMRs were consistent with chromatin accessibility and enriched for regulatory regions. These CG-DMRs comprise ~12 Mb of the genome that is highly enriched for genomic regions associated with heritability of neuropsychiatric traits including addictive behavior, schizophrenia, and neuroticism, thus suggesting a mechanistic link between pathology and differential neuron-specific epigenetic regulation in distinct brain regions.


Asunto(s)
Conducta Adictiva/metabolismo , Encéfalo/metabolismo , Cromatina/metabolismo , Metilación de ADN , Neuronas/metabolismo , Neuroticismo/fisiología , Esquizofrenia/metabolismo , Conducta Adictiva/genética , Islas de CpG , Epigénesis Genética , Genoma , Humanos , Esquizofrenia/genética
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