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1.
Toxicol Appl Pharmacol ; 289(2): 203-12, 2015 Dec 01.
Artículo en Inglés | MEDLINE | ID: mdl-26431795

RESUMEN

Altered expression of tumor suppressor genes and oncogenes, which is regulated in part at the level of DNA methylation, is an important event involved in non-genotoxic carcinogenesis. This may serve as a marker for early detection of non-genotoxic carcinogens. Therefore, we evaluated the effects of non-genotoxic hepatocarcinogens, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), hexachlorobenzene (HCB), methapyrilene (MPY) and male rat kidney carcinogens, d-limonene, p-dichlorobenzene (DCB), chloroform and ochratoxin A (OTA) on global and CpG island promoter methylation in their respective target tissues in rats. No significant dose-related effects on global DNA hypomethylation were observed in tissues of rats compared to vehicle controls using LC-MS/MS in response to short-term non-genotoxic carcinogen exposure. Initial experiments investigating gene-specific methylation using methylation-specific PCR and bisulfite sequencing, revealed partial methylation of p16 in the liver of rats treated with HCB and TCDD. However, no treatment related effects on the methylation status of Cx32, e-cadherin, VHL, c-myc, Igfbp2, and p15 were observed. We therefore applied genome-wide DNA methylation analysis using methylated DNA immunoprecipitation combined with microarrays to identify alterations in gene-specific methylation. Under the conditions of our study, some genes were differentially methylated in response to MPY and TCDD, whereas d-limonene, DCB and chloroform did not induce any methylation changes. 90-day OTA treatment revealed enrichment of several categories of genes important in protein kinase activity and mTOR cell signaling process which are related to OTA nephrocarcinogenicity.


Asunto(s)
Carcinógenos/toxicidad , Metilación de ADN/efectos de los fármacos , Neoplasias Renales/inducido químicamente , Riñón/efectos de los fármacos , Neoplasias Hepáticas/inducido químicamente , Hígado/efectos de los fármacos , Animales , Secuencia de Bases , Transformación Celular Neoplásica/inducido químicamente , Transformación Celular Neoplásica/genética , Transformación Celular Neoplásica/metabolismo , Cromatografía Líquida de Alta Presión , Islas de CpG , Perfilación de la Expresión Génica/métodos , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Riñón/metabolismo , Neoplasias Renales/genética , Neoplasias Renales/metabolismo , Hígado/metabolismo , Neoplasias Hepáticas/genética , Neoplasias Hepáticas/metabolismo , Masculino , Datos de Secuencia Molecular , Análisis de Secuencia por Matrices de Oligonucleótidos , Reacción en Cadena de la Polimerasa , Regiones Promotoras Genéticas , Ratas Endogámicas F344 , Espectrometría de Masa por Ionización de Electrospray , Espectrometría de Masas en Tándem , Factores de Tiempo
2.
PLoS One ; 12(2): e0170585, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-28158215

RESUMEN

Pea3 transcription factor belongs to the PEA3 subfamily within the ETS domain transcription factor superfamily, and has been largely studied in relation to its role in breast cancer metastasis. Nonetheless, Pea3 plays a role not only in breast tumor, but also in other tissues with branching morphogenesis, including kidneys, blood vasculature, bronchi and the developing nervous system. Identification of Pea3 target promoters in these systems are important for a thorough understanding of how Pea3 functions. Present study particularly focuses on the identification of novel neuronal targets of Pea3 in a combinatorial approach, through curation, computational analysis and microarray studies in a neuronal model system, SH-SY5Y neuroblastoma cells. We not only show that quite a number of genes in cancer, immune system and cell cycle pathways, among many others, are either up- or down-regulated by Pea3, but also identify novel targets including ephrins and ephrin receptors, semaphorins, cell adhesion molecules, as well as metalloproteases such as kallikreins, to be among potential target promoters in neuronal systems. Our overall results indicate that rather than early stages of neurite extension and axonal guidance, Pea3 is more involved in target identification and synaptic maturation.


Asunto(s)
Neuronas/metabolismo , Factores de Transcripción/metabolismo , Diferenciación Celular/genética , Diferenciación Celular/fisiología , Línea Celular Tumoral , Inmunoprecipitación de Cromatina , Endocitosis/genética , Endocitosis/fisiología , Humanos , Neuronas/citología , Reacción en Cadena en Tiempo Real de la Polimerasa , Reacción en Cadena de la Polimerasa de Transcriptasa Inversa , Factores de Transcripción/genética
3.
Neurosci Lett ; 620: 62-9, 2016 05 04.
Artículo en Inglés | MEDLINE | ID: mdl-27019035

RESUMEN

Autism is one of the most common subtypes of autism spectrum disorder (ASD). Recent studies suggested a relationship between immune-dependent coding genes and ASD, indicating that long term neuroimmunological anomalies affect brain development and synaptic transmission among neural networks. Furthermore, various studies focused on biomarker potential of TNF-α in autism. Ionotropic receptors are also studied as potential marker for autism since altered gene expression levels are observed in autistic patients. GRID2 is a candidate ionotropic receptor which is involved glutamate transfer. In this study, to propose TNF-α dependent cellular processes involved in autism aetiology in relation to GRID2 we performed a bioinformatic network analysis and identified potential pathways and genes that are involved in TNF-α induced changes at GRID2 receptor levels. As a result, we ascertained the GRID2 receptor gene as a candidate gene and further studied the association between GRID2 expression levels and TNF-induced neurodegeneration. Our bioinformatic analyses and experimental results revealed that TNF-α regulates GRID2 gene expression by activating Cdc42 and GOPC genes. Moreover, increased TNF-α levels leads to increase of caspase-3 protein levels triggering neuronal apoptosis leading to neuronal deficiency, which is one of the major symptoms of autism. The study is the first to show the role of TNF-α in regulation of GRID2 gene expression and its signalling pathway. As a result, GRID2 gene can be a suppressor in TNF-induced neurodegeneration which may help to understand the main factors leading to autism.


Asunto(s)
Trastorno Autístico/genética , Degeneración Nerviosa/genética , Receptores de Glutamato/genética , Factor de Necrosis Tumoral alfa/metabolismo , Proteínas Adaptadoras Transductoras de Señales , Apoptosis , Trastorno Autístico/metabolismo , Trastorno Autístico/patología , Biomarcadores/metabolismo , Proteínas Portadoras/metabolismo , Diferenciación Celular , Línea Celular Tumoral , Biología Computacional , Estudios de Asociación Genética , Proteínas de la Matriz de Golgi , Humanos , Proteínas de la Membrana/metabolismo , Proteínas de Transporte de Membrana , Degeneración Nerviosa/metabolismo , Degeneración Nerviosa/patología , Células-Madre Neurales/citología , Células-Madre Neurales/efectos de los fármacos , Neuronas/citología , Neuronas/metabolismo , Receptores de Glutamato/metabolismo , Transducción de Señal , Tretinoina , Factor de Necrosis Tumoral alfa/farmacología , Proteína de Unión al GTP cdc42/metabolismo
4.
PLoS One ; 10(5): e0122045, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-25942430

RESUMEN

Multiple sclerosis (MS) is an immune-mediated, neuro-inflammatory, demyelinating and neurodegenerative disease of the central nervous system (CNS) with a heterogeneous clinical presentation and course. There is a remarkable phenotypic heterogeneity in MS, and the molecular mechanisms underlying it remain unknown. We aimed to investigate further the etiopathogenesis related molecular pathways in subclinical types of MS using proteomic and bioinformatics approaches in cerebrospinal fluids of patients with clinically isolated syndrome, relapsing remitting MS and progressive MS (n=179). Comparison of disease groups with controls revealed a total of 151 proteins that are differentially expressed in clinically different MS subtypes. KEGG analysis using PANOGA tool revealed the disease related pathways including aldosterone-regulated sodium reabsorption (p=8.02x10-5) which is important in the immune cell migration, renin-angiotensin (p=6.88x10-5) system that induces Th17 dependent immunity, notch signaling (p=1.83x10-10) pathway indicating the activated remyelination and vitamin digestion and absorption pathways (p=1.73x10-5). An emerging theme from our studies is that whilst all MS clinical forms share common biological pathways, there are also clinical subtypes specific and pathophysiology related pathways which may have further therapeutic implications.


Asunto(s)
Esclerosis Múltiple/metabolismo , Proteómica , Adulto , Biología Computacional , Electroforesis en Gel Bidimensional , Femenino , Humanos , Masculino , Espectrometría de Masas , Persona de Mediana Edad , Esclerosis Múltiple/clasificación , Esclerosis Múltiple Crónica Progresiva/metabolismo , Esclerosis Múltiple Recurrente-Remitente/metabolismo , Células Th17/metabolismo
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