Role of UEV-1A, a homologue of the tumor suppressor protein TSG101, in protection from DNA damage

AbstractThe open reading frame YGL087c in the budding yeast Saccharomyces cerevisiae genome encodes a polypeptide highly similar to the human UEV (ubiquitin-conjugating E2 enzyme variant) proteins, which have been proposed to belong to a family of putative dominant negative ubiquitin regulators. Deletion of the YGL087c open reading frame yields viable cells which are sensitive to UV irradiation or methyl methanesulfonate, but not to hydroxyurea. This phenotype is reminiscent of that of rad mutants and suggests that the YGL087c-encoded protein functions in a process related to tolerance to DNA damage. We also show that the mutant phenotype is fully complemented by expression of the human UEV-1A cDNA and we propose that UEV-1 proteins could also have a role in protecting higher eukaryotic cells from DNA damaging agents

Ubiquitin and SUMO signalling in DNA repair

Abstract The repair of lesions and gaps in DNA follows different pathways, each mediated by specific proteins and complexes. Post-translational modifications in many of these proteins govern their activities and interactions, ultimately determining whether a particular pathway is followed. Prominent among these modifications are the addition of phosphate or ubiquitin (and ubiquitin-like) moieties that confer new binding surfaces and conformational states on the modified proteins. The present review summarizes some of consequences of ubiquitin and ubiquitin-like modifications and interactions that regulate nucleotide excision repair, translesion synthesis, double-strand break repair and interstrand cross-link repair, with the discussion of relevant examples in each pathway

Modelos celulares de cáncer de próstata

Modelos celulares de cáncer de próstata. Líneas celulares, PC-3/S-luc y PC-3/M-luc, derivadas de la línea de cáncer de próstata PC-3, modificadas de forma que expresan el gen luciferasa (luc) para el desarrollo de un modelo de cáncer, útil para el diagnóstico y/o pronóstico de cáncer, específicamente de próstata, determinando la diferente expresión génica de los marcadores biológicos de invasividad y metástasis. Así como, un método in vitro de búsqueda de agentes para tratamiento o prevención del cáncer.Consejo Superior de Investigaciones Científicas (España)A1 Solicitud de patente con informe sobre el estado de la técnic

Total alkalinity production in a mangrove ecosystem reveals an overlooked Blue Carbon component

Mangroves have the capacity to sequester organic carbon (C-org) in their sediments permanently. However, the carbon budget of mangroves is also affected by the total alkalinity (TA) budget. Principally, TA emitted from carbonate sediment dissolution is a perennial sink of atmospheric CO2. The assessment of the TA budget of mangrove carbonate sediments in the Red Sea revealed a large TA emission of 403 +/- 17 mmol m(-2)d(-1), independent of light, seasons, or the presence of pneumatophores, compared to -36 +/- 10 mmol m(-2)d(-1)in lagoon sediment. We estimate the TA emission from carbonate dissolution in Red Sea mangroves supported a CO2 uptake of 345 +/- 15 gC m(-2)yr(-1), 23-fold the C-org burial rate of 15 gC m(-2)yr(-1). The focus on C-org burial in sediments may substantially underestimate the role of mangroves in CO(2)removal. Quantifying the role of mangroves in climate change mitigation requires carbonate dissolution to be included in assessments.Peer reviewe

Autonomous metabolic reprogramming and oxidative stress characterize endothelial dysfunction in acute myocardial infarction

Background: Compelling evidence has accumulated on the role of oxidative stress on the endothelial cell (EC) dysfunction underlying acute coronary syndrome. However, unveiling the underlying metabolic determinants has been hampered by the scarcity of appropriate cell models to address cell-autonomous mechanisms of ED dysfunction. Methods: We have generated endothelial cells derived from thrombectomy specimens from patients affected with acute myocardial infarction (AMI) and conducted phenotypical and metabolic characterization, focused on central carbon metabolism. Results: AMI-derived endothelial cells (AMIECs), but not control healthy coronary endothelial cells, display impaired growth, migration and tubulogenesis. Metabolically, AMIECs displayed augmented reactive oxygen species (ROS) and glutathione intracellular content, along with a diminished glucose consumption coupled to high lactate production. Consistent with diminished glycolysis in AMIECs, the protein levels of 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase type 3, PFKFB3, were downregulated. In contrast, PFKFB4 levels were upregulated, suggesting a shunting of glycolysis towards the pentose phosphate pathway (PPP), supported by upregulation in AMIECs of G6PD, the key enzyme in the oxidative branch of the PPP. Further, the glutaminolytic enzyme GLS was upregulated in AMIECs, providing a mechanistic explanation for the observed increase in glutathione content. Finally, AMIECs displayed a significantly higher mitochondrial membrane potential than control ECs, which, together with high ROS levels, suggest a highly coupled mitochondrial activity in patient ECs. Conclusions: We suggest high mitochondrial proton coupling underlies the abnormally high production of ROS, balanced by PPP- and glutaminolysis-driven synthesis of glutathione, as a primary, cell-autonomous abnormality driving EC dysfunction in AMI. Funding: European Commission Horizon 2020; CIBER- Carlos III National Institute of Health, Spain; Ministerio de Economia y Competitividad (MINECO) and Ministerio de Ciencia e Innovación, Spain; Generalitat de Catalunya-AGAUR, Catalonia; Plataforma Temática Interdisciplinar Salud Global (PTI-SG), Spain; British Heart Foundation, UK. </p

Dual activation of pathways regulated by steroid receptors and peptide growth factors in primary prostate cancer revealed by Factor Analysis of microarray data

BACKGROUND: We use an approach based on Factor Analysis to analyze datasets generated for transcriptional profiling. The method groups samples into biologically relevant categories, and enables the identification of genes and pathways most significantly associated to each phenotypic group, while allowing for the participation of a given gene in more than one cluster. Genes assigned to each cluster are used for the detection of pathways predominantly activated in that cluster by finding statistically significant associated GO terms. We tested the approach with a published dataset of microarray experiments in yeast. Upon validation with the yeast dataset, we applied the technique to a prostate cancer dataset. RESULTS: Two major pathways are shown to be activated in organ-confined, non-metastatic prostate cancer: those regulated by the androgen receptor and by receptor tyrosine kinases. A number of gene markers (HER3, IQGAP2 and POR1) highlighted by the software and related to the later pathway have been validated experimentally a posteriori on independent samples. CONCLUSION: Using a new microarray analysis tool followed by a posteriori experimental validation of the results, we have confirmed several putative markers of malignancy associated with peptide growth factor signalling in prostate cancer and revealed others, most notably ERRB3 (HER3). Our study suggest that, in primary prostate cancer, HER3, together or not with HER4, rather than in receptor complexes involving HER2, could play an important role in the biology of these tumors. These results provide new evidence for the role of receptor tyrosine kinases in the establishment and progression of prostate cancer

Dual activation of pathways regulated by steroid receptors and peptide growth factors in primary prostate cancer revealed by Factor Analysis of microarray data

BACKGROUND: We use an approach based on Factor Analysis to analyze datasets generated for transcriptional profiling. The method groups samples into biologically relevant categories, and enables the identification of genes and pathways most significantly associated to each phenotypic group, while allowing for the participation of a given gene in more than one cluster. Genes assigned to each cluster are used for the detection of pathways predominantly activated in that cluster by finding statistically significant associated GO terms. We tested the approach with a published dataset of microarray experiments in yeast. Upon validation with the yeast dataset, we applied the technique to a prostate cancer dataset. RESULTS: Two major pathways are shown to be activated in organ-confined, non-metastatic prostate cancer: those regulated by the androgen receptor and by receptor tyrosine kinases. A number of gene markers (HER3, IQGAP2 and POR1) highlighted by the software and related to the later pathway have been validated experimentally a posteriori on independent samples. CONCLUSION: Using a new microarray analysis tool followed by a posteriori experimental validation of the results, we have confirmed several putative markers of malignancy associated with peptide growth factor signalling in prostate cancer and revealed others, most notably ERRB3 (HER3). Our study suggest that, in primary prostate cancer, HER3, together or not with HER4, rather than in receptor complexes involving HER2, could play an important role in the biology of these tumors. These results provide new evidence for the role of receptor tyrosine kinases in the establishment and progression of prostate cancer

Highly sensitive molecular diagnosis of prostate cancer using surplus material washed off from biopsy needles

INTRODUCTION: Currently, final diagnosis of prostate cancer (PCa) is based on histopathological analysis of needle biopsies, but this process often bears uncertainties due to small sample size, tumour focality and pathologist’s subjective assessment. METHODS: Prostate cancer diagnostic signatures were generated by applying linear discriminant analysis to microarray and real-time RT–PCR (qRT–PCR) data from normal and tumoural prostate tissue samples. Additionally, after removal of biopsy tissues, material washed off from transrectal biopsy needles was used for molecular profiling and discriminant analysis. RESULTS: Linear discriminant analysis applied to microarray data for a set of 318 genes differentially expressed between non-tumoural and tumoural prostate samples produced 26 gene signatures, which classified the 84 samples used with 100% accuracy. To identify signatures potentially useful for the diagnosis of prostate biopsies, surplus material washed off from routine biopsy needles from 53 patients was used to generate qRT–PCR data for a subset of 11 genes. This analysis identified a six-gene signature that correctly assigned the biopsies as benign or tumoural in 92.6% of the cases, with 88.8% sensitivity and 96.1% specificity. CONCLUSION: Surplus material from prostate needle biopsies can be used for minimal-size gene signature analysis for sensitive and accurate discrimination between non-tumoural and tumoural prostates, without interference with current diagnostic procedures. This approach could be a useful adjunct to current procedures in PCa diagnosis. British Journal of Cancer (2011) 105, 1600–1607. doi:10.1038/bjc.2011.435 www.bjcancer.com Published online 18 October 2011 & 2011 Cancer Research UKMinisterio de Ciencia e Innovacion (PI080274), Fundación Marato TV3, Ministerio de Educacio´n (GEN2001-4856- C13, GEN2001-4865-C13-10 and SAF2005-05109), Ministerio de Sanidad (PI020231), Red Temática de Cáncer of the Instituto Carlos III (ISCIII-RETIC RD06/0020), Xarxa de Bancs de Tumors de Catalunya-ICO (XBTC) and Fundación Ramón Areces.Peer Reviewe