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Delgado-Calle J.,University of Cantabria | Fernandez A.F.,University of Oviedo | Sainz J.,Institute of Biomedicine and Biotechnology of Cantabria | Zarrabeitia M.T.,University of Cantabria | And 6 more authors.
Arthritis and Rheumatism | Year: 2013

Objective To determine genome-wide methylation profiles of bone from patients with hip osteoarthritis (OA) and those with osteoporotic (OP) hip fractures. Methods Trabecular bone pieces were obtained from the central part of the femoral head of 27 patients with hip fractures and 26 patients with hip OA. DNA was isolated, and methylation was explored with Illumina methylation arrays. RNA was extracted, pooled, and deep-sequenced to obtain the whole transcriptome. Differentially methylated regions were identified, and connections between genes with differentially methylated regions were explored by pathway and text-mining analyses. Results After quality control, methylation of 23,367 CpG sites (13,463 genes) was analyzed. There was a genome-wide inverse relationship between methylation and gene expression in both patient groups. Comparison of OP and OA bones revealed 241 CpG sites, located in 228 genes, with significant differences in methylation (false discovery rate <0.05). Of them, 217 were less methylated in OP than in OA. The absolute methylation differences were >5% in 128 CpG sites and >10% in 45 CpG sites. The differentially methylated genes were enriched for association with bone traits in the genome-wide association study catalog. Pathway analysis and text-mining analysis with Gene Relationships Across Implicated Loci software revealed enrichment in genes participating in glycoprotein metabolism or cell differentiation, and particularly in the homeobox superfamily of transcription factors. Conclusion Genome-wide methylation profiling of bone samples revealed differentially methylated regions in OP and OA. These regions were enriched in genes associated with cell differentiation and skeletal embryogenesis, such as those in the homeobox superfamily, suggesting the existence of a developmental component in the predisposition to these disorders. Copyright © 2013 by the American College of Rheumatology.


Campa V.M.,Institute of Biomedicine and Biotechnology of Cantabria | Capilla A.,Autonoma University of Madrid | Varela M.J.,University of Santiago de Compostela | De La Rocha A.M.A.,Institute of Biomedicine and Biotechnology of Cantabria | And 3 more authors.
PLoS ONE | Year: 2015

The activation of G-protein coupled receptors by agonist compounds results in diverse biological responses in cells, such as the endocytosis process consisting in the translocation of receptors from the plasma membrane to the cytoplasm within internalizing vesicles or endosomes. In order to functionally evaluate endocytosis events resulted from pharmacological responses, we have developed an image analysis method -the Q-Endosomes algorithm- that specifically discriminates the fluorescent signal originated at endosomes from that one observed at the plasma membrane in images obtained from living cells by fluorescence microscopy. Mu opioid (MOP) receptor tagged at the carboxy-terminus with yellow fluorescent protein (YFP) and permanently expressed in HEK293 cells was used as experimental model to validate this methodology. Time-course experiments performed with several agonists resulted in different sigmoid curves depending on the drug used to initiate MOP receptor endocytosis. Thus, endocytosis resulting from the simultaneous activation of co-expressed MOP and serotonin 5-HT2C receptors by morphine plus serotonin was significantly different, in kinetics as well as in maximal response parameters, from the one caused by DAMGO, sufentanyl or methadone. Therefore, this analytical tool permits the pharmacological characterization of receptor endocytosis in living cells with functional and temporal resolution. © 2015 Campa et al.


Infante J.,University of Cantabria | Infante J.,CIBER ISCIII | Prieto C.,Institute of Biomedicine and Biotechnology of Cantabria | Sierra M.,University of Cantabria | And 11 more authors.
Neurobiology of Aging | Year: 2015

The commonest known cause of Parkinson's disease (PD) is the G2019S mutation of the LRRK2 gene, but this mutation is not sufficient for causing PD, and many carriers of the mutation never develop PD symptoms during life. Differences at the expression level of certain genes, resulting from either genetic variations or environmental interactions, might be one of the mechanisms underlying differential risks for developing both idiopathic and genetic PD. To identify the genes involved in PD pathogenesis, we compared genome-wide gene expression (RNA-seq) in peripheral blood of 20 PD patients carrying the G2019S mutation of the LRRK2 gene, 20 asymptomatic carriers of the mutation, 20 subjects with idiopathic PD, 20 controls and 7 PD patients before and after initiating dopaminergic therapy. We identified 13 common genes (. ADARB2, CEACAM6, CNTNAP2, COL19A1, DEF4, DRAXIN, FCER2, HBG1, NCAPG2, PVRL2, SLC2A14, SNCA, and TCL1B) showing significant differential expression between G2019S-associated PD and asymptomatic carriers and also between idiopathic PD and controls but not between untreated and treated patients. Some of these genes are functionally involved in the processes known to be involved in PD pathogenesis, such as Akt signaling, glucose metabolism, or immunity. We consider that these genes merit further attention in future studies as potential candidate genes involved in both idiopathic and LRRK2-G2019S-associated forms of PD. © 2015 Elsevier Inc.


PubMed | Institute of Biomedicine and Biotechnology of Cantabria, University of Santiago de Compostela, Autonoma University of Madrid and Institute of Physics of Cantabria
Type: Journal Article | Journal: PloS one | Year: 2015

The activation of G-protein coupled receptors by agonist compounds results in diverse biological responses in cells, such as the endocytosis process consisting in the translocation of receptors from the plasma membrane to the cytoplasm within internalizing vesicles or endosomes. In order to functionally evaluate endocytosis events resulted from pharmacological responses, we have developed an image analysis method -the Q-Endosomes algorithm- that specifically discriminates the fluorescent signal originated at endosomes from that one observed at the plasma membrane in images obtained from living cells by fluorescence microscopy. Mu opioid (MOP) receptor tagged at the carboxy-terminus with yellow fluorescent protein (YFP) and permanently expressed in HEK293 cells was used as experimental model to validate this methodology. Time-course experiments performed with several agonists resulted in different sigmoid curves depending on the drug used to initiate MOP receptor endocytosis. Thus, endocytosis resulting from the simultaneous activation of co-expressed MOP and serotonin 5-HT2C receptors by morphine plus serotonin was significantly different, in kinetics as well as in maximal response parameters, from the one caused by DAMGO, sufentanyl or methadone. Therefore, this analytical tool permits the pharmacological characterization of receptor endocytosis in living cells with functional and temporal resolution.


Okumus B.,Harvard University | Landgraf D.,Harvard University | Lai G.C.,Harvard University | Bakhsi S.,Harvard University | And 12 more authors.
Nature Communications | Year: 2016

Many key regulatory proteins in bacteria are present in too low numbers to be detected with conventional methods, which poses a particular challenge for single-cell analyses because such proteins can contribute greatly to phenotypic heterogeneity. Here we develop a microfluidics-based platform that enables single-molecule counting of low-abundance proteins by mechanically slowing-down their diffusion within the cytoplasm of live Escherichia coli (E. coli) cells. Our technique also allows for automated microscopy at high throughput with minimal perturbation to native physiology, as well as viable enrichment/retrieval. We illustrate the method by analysing the control of the master regulator of the E. coli stress response, RpoS, by its adapter protein, SprE (RssB). Quantification of SprE numbers shows that though SprE is necessary for RpoS degradation, it is expressed at levels as low as 3-4 molecules per average cell cycle, and fluctuations in SprE are approximately Poisson distributed during exponential phase with no sign of bursting.


Crespo-Facorro B.,University of Cantabria | Crespo-Facorro B.,Centro Investigacion Biomedica en Red Salud Mental | Prieto C.,Institute of Biomedicine and Biotechnology of Cantabria | Sainz J.,Institute of Biomedicine and Biotechnology of Cantabria
International Journal of Neuropsychopharmacology | Year: 2014

Background: Despite the widespread use of antipsychotics, little is known of the molecular bases behind the action of antipsychotic drugs. A genome-wide study is needed to characterize the genes that affect the clinical response and their adverse effects. Methods: Here we show the analysis of the blood transcriptome of 22 schizophrenia patients before and after medication with atypical antipsychotics by next-generation sequencing. Results: We found that 17 genes, among the 21 495 genes analyzed, have significantly-altered expression after medication (pvalue adjusted [Padj] <0.05). Six genes (ADAMTS2, CD177, CNTNAP3, ENTPD2, RFX2, and UNC45B) out of the 17 are among the 200 genes that we characterized with differential expression in a previous study between antipsychotic-naïve schizophrenia patients and controls (Sainz et al., 2013). This number of schizophrenia-altered expression genes is significantly higher than expected by chance (Chi-test, Padj 1.19E-50), suggesting that at least part of the antipsychotic beneficial effects is exerted by modulating the expression of these genes. Interestingly, all six of these genes were overexpressed in patients and reverted to control levels of expression after treatment. We also found a significant enrichment of genes related to obesity and diabetes, known adverse affects of antipsychotics. Conclusions: These results may facilitate understanding of unknown molecular mechanisms behind schizophrenia symptoms and the molecular mechanisms of antipsychotic drugs. © The Author 2015.

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