03417nas a2200793 4500008004100000022001400041245009300055210006900148260001500217300000900232490000600241520096600247653001201213653001401225653002301239653001801262653003601280653003001316653001101346653003101357653001101388653002401399653002101423653001201444653002801456653002501484653004101509653001601550653000901566653000901575653002301584653001501607653003901622653001701661653003001678653003401708100002801742700002201770700003201792700002901824700002601853700002601879700003101905700003301936700002201969700003101991700001902022700002002041700002002061700002202081700002002103700002302123700001602146700002302162700002302185700002302208700001902231700002502250700002902275700002102304700002502325700003202350700001602382700001802398700003802416700001702454700002402471856012802495 2018 eng d a2041-172300aLRH-1 agonism favours an immune-islet dialogue which protects against diabetes mellitus.0 aLRH1 agonism favours an immuneislet dialogue which protects agai c2018 04 16 a14880 v93 a
Type 1 diabetes mellitus (T1DM) is due to the selective destruction of islet beta cells by immune cells. Current therapies focused on repressing the immune attack or stimulating beta cell regeneration still have limited clinical efficacy. Therefore, it is timely to identify innovative targets to dampen the immune process, while promoting beta cell survival and function. Liver receptor homologue-1 (LRH-1) is a nuclear receptor that represses inflammation in digestive organs, and protects pancreatic islets against apoptosis. Here, we show that BL001, a small LRH-1 agonist, impedes hyperglycemia progression and the immune-dependent inflammation of pancreas in murine models of T1DM, and beta cell apoptosis in islets of type 2 diabetic patients, while increasing beta cell mass and insulin secretion. Thus, we suggest that LRH-1 agonism favors a dialogue between immune and islet cells, which could be druggable to protect against diabetes mellitus.
10aAnimals10aApoptosis10aCell Communication10aCell Survival10aDiabetes Mellitus, Experimental10aDiabetes Mellitus, Type 210aFemale10aGene Expression Regulation10aHumans10aHypoglycemic Agents10aImmunity, Innate10ainsulin10aInsulin-Secreting Cells10aIslets of Langerhans10aIslets of Langerhans Transplantation10aMacrophages10aMale10aMice10aMice, Inbred C57BL10aPhenalenes10aReceptors, Cytoplasmic and Nuclear10aStreptozocin10aT-Lymphocytes, Regulatory10aTransplantation, Heterologous1 aCobo-Vuilleumier, Nadia1 aLorenzo, Petra, I1 aRodríguez, Noelia, García1 aGómez, Irene, de Gracia1 aFuente-Martin, Esther1 aLópez-Noriega, Livia1 aMellado-Gil, José, Manuel1 aRomero-Zerbo, Silvana-Yanina1 aBaquié, Mathurin1 aLachaud, Christian, Claude1 aStifter, Katja1 aPerdomo, German1 aBugliani, Marco1 aDe Tata, Vincenzo1 aBosco, Domenico1 aParnaud, Geraldine1 aPozo, David1 aHmadcha, Abdelkrim1 aFlorido, Javier, P1 aToscano, Miguel, G1 ade Haan, Peter1 aSchoonjans, Kristina1 aPalazón, Luis, Sánchez1 aMarchetti, Piero1 aSchirmbeck, Reinhold1 aMartín-Montalvo, Alejandro1 aMeda, Paolo1 aSoria, Bernat1 aBermúdez-Silva, Francisco-Javier1 aSt-Onge, Luc1 aGauthier, Benoit, R uhttps://www.clinbioinfosspa.es/content/lrh-1-agonism-favours-immune-islet-dialogue-which-protects-against-diabetes-mellitus02349nas a2200181 4500008004100000022001400041245015400055210006900209260001500278300000700293490000600300520173800306100001502044700002402059700002102083700001502104856004802119 2011 eng d a1755-879400aA large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression0 alarge scale survey reveals that chromosomal copynumber alteratio c06/05/2011 a370 v43 aRecent observations point towards the existence of a large number of neighborhoods composed of functionally-related gene modules that lie together in the genome. This local component in the distribution of the functionality across chromosomes is probably affecting the own chromosomal architecture by limiting the possibilities in which genes can be arranged and distributed across the genome. As a direct consequence of this fact it is therefore presumable that diseases such as cancer, harboring DNA copy number alterations (CNAs), will have a symptomatology strongly dependent on modules of functionally-related genes rather than on a unique "important" gene.
We carried out a systematic analysis of more than 140,000 observations of CNAs in cancers and searched by enrichments in gene functional modules associated to high frequencies of loss or gains.
The analysis of CNAs in cancers clearly demonstrates the existence of a significant pattern of loss of gene modules functionally related to cancer initiation and progression along with the amplification of modules of genes related to unspecific defense against xenobiotics (probably chemotherapeutical agents). With the extension of this analysis to an Array-CGH dataset (glioblastomas) from The Cancer Genome Atlas we demonstrate the validity of this approach to investigate the functional impact of CNAs.
The presented results indicate promising clinical and therapeutic implications. Our findings also directly point out to the necessity of adopting a function-centric, rather a gene-centric, view in the understanding of phenotypes or diseases harboring CNAs.
1 aAlloza, E.1 aAl-Shahrour, Fatima1 aCigudosa, J., C.1 aDopazo, J. uhttp://www.biomedcentral.com/1755-8794/4/3703591nas a2200649 4500008004100000022001400041245019000055210006900245260001600314300001200330490000700342520147500349653001801824653002201842653001201864653004901876653002501925653001401950653001701964653002101981653002502002653002002027653001902047653003002066653002902096653001102125653000902136653001802145653002802163653002802191653005202219653002902271653002402300653003002324653004802354653001802402100001402420700001802434700003002452700001602482700002002498700002002518700001702538700002402555700001902579700001902598700002802617700002002645700001902665700002802684700001802712700002202730700002002752700002002772700001902792856013002811 2011 eng d a1460-208300aLarge-scale transcriptional profiling and functional assays reveal important roles for Rho-GTPase signalling and SCL during haematopoietic differentiation of human embryonic stem cells.0 aLargescale transcriptional profiling and functional assays revea c2011 Dec 15 a4932-460 v203 aUnderstanding the transcriptional cues that direct differentiation of human embryonic stem cells (hESCs) and human-induced pluripotent stem cells to defined and functional cell types is essential for future clinical applications. In this study, we have compared transcriptional profiles of haematopoietic progenitors derived from hESCs at various developmental stages of a feeder- and serum-free differentiation method and show that the largest transcriptional changes occur during the first 4 days of differentiation. Data mining on the basis of molecular function revealed Rho-GTPase signalling as a key regulator of differentiation. Inhibition of this pathway resulted in a significant reduction in the numbers of emerging haematopoietic progenitors throughout the differentiation window, thereby uncovering a previously unappreciated role for Rho-GTPase signalling during human haematopoietic development. Our analysis indicated that SCL was the 11th most upregulated transcript during the first 4 days of the hESC differentiation process. Overexpression of SCL in hESCs promoted differentiation to meso-endodermal lineages, the emergence of haematopoietic and erythro-megakaryocytic progenitors and accelerated erythroid differentiation. Importantly, intrasplenic transplantation of SCL-overexpressing hESC-derived haematopoietic cells enhanced recovery from induced acute anaemia without significant cell engraftment, suggesting a paracrine-mediated effect.
10aAcute Disease10aAnemia, Hemolytic10aAnimals10aBasic Helix-Loop-Helix Transcription Factors10aCell Differentiation10aCell Line10aCell Lineage10aCluster Analysis10aEmbryonic Stem Cells10aErythroid Cells10aFlow Cytometry10aGene Expression Profiling10aHematopoietic Stem Cells10aHumans10aMice10aMyeloid Cells10aParacrine Communication10aProto-Oncogene Proteins10aReverse Transcriptase Polymerase Chain Reaction10arho GTP-Binding Proteins10aSignal Transduction10aStem Cell Transplantation10aT-Cell Acute Lymphocytic Leukemia Protein 110aTranscriptome1 aYung, Sun1 aLedran, Maria1 aMoreno-Gimeno, Inmaculada1 aConesa, Ana1 aMontaner, David1 aDopazo, Joaquin1 aDimmick, Ian1 aSlater, Nicholas, J1 aMarenah, Lamin1 aReal, Pedro, J1 aParaskevopoulou, Iliana1 aBisbal, Viviana1 aBurks, Deborah1 aSantibanez-Koref, Mauro1 aMoreno, Ruben1 aMountford, Joanne1 aMenendez, Pablo1 aArmstrong, Lyle1 aLako, Majlinda uhttps://www.clinbioinfosspa.es/content/large-scale-transcriptional-profiling-and-functional-assays-reveal-important-roles-rho03221nas a2200181 4500008004100000245010900041210006900150300000800219490000600227520260800233100001502841700001402856700001502870700001502885700001502900700001802915856010602933 2008 eng d00aLarge-scale Gene Ontology analysis of plant transcriptome-derived sequences retrieved by AFLP technology0 aLargescale Gene Ontology analysis of plant transcriptomederived a3470 v93 aBACKGROUND: After 10-year-use of AFLP (Amplified Fragment Length Polymorphism) technology for DNA fingerprinting and mRNA profiling, large repertories of genome- and transcriptome-derived sequences are available in public databases for model, crop and tree species. AFLP marker systems have been and are being extensively exploited for genome scanning and gene mapping, as well as cDNA-AFLP for transcriptome profiling and differentially expressed gene cloning. The evaluation, annotation and classification of genomic markers and expressed transcripts would be of great utility for both functional genomics and systems biology research in plants. This may be achieved by means of the Gene Ontology (GO), consisting in three structured vocabularies (i.e. ontologies) describing genes, transcripts and proteins of any organism in terms of their associated cellular component, biological process and molecular function in a species-independent manner. In this paper, the functional annotation of about 8,000 AFLP-derived ESTs retrieved in the NCBI databases was carried out by using GO terminology. RESULTS: Descriptive statistics on the type, size and nature of gene sequences obtained by means of AFLP technology were calculated. The gene products associated with mRNA transcripts were then classified according to the three main GO vocabularies. A comparison of the functional content of cDNA-AFLP records was also performed by splitting the sequence dataset into monocots and dicots and by comparing them to all annotated ESTs of Arabidopsis and rice, respectively. On the whole, the statistical parameters adopted for the in silico AFLP-derived transcriptome-anchored sequence analysis proved to be critical for obtaining reliable GO results. Such an exhaustive annotation may offer a suitable platform for functional genomics, particularly useful in non-model species. CONCLUSION: Reliable GO annotations of AFLP-derived sequences can be gathered through the optimization of the experimental steps and the statistical parameters adopted. The Blast2GO software was shown to represent a comprehensive bioinformatics solution for an annotation-based functional analysis. According to the whole set of GO annotations, the AFLP technology generates thorough information for angiosperm gene products and shares common features across angiosperm species and families. The utility of this technology for structural and functional genomics in plants can be implemented by serial annotation analyses of genome-anchored fragments and organ/tissue-specific repertories of transcriptome-derived fragments.
1 aBotton, A.1 aGalla, G.1 aConesa, A.1 aBachem, C.1 aRamina, A.1 aBarcaccia, G. uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=1865264600403nas a2200097 4500008004100000245004000041210004000081260008600121100001500207856008300222 2006 eng d00aLa clasificación de los organismos0 aLa clasificación de los organismos aBuenos AiresbCurtis, Barnes, Schnek & Flores. 2da, Editorial Medica Panamericana1 aDopazo, H. uhttps://www.clinbioinfosspa.es/content/la-clasificaci%C3%B3n-de-los-organismos02048nas a2200157 4500008004100000245010400041210006900145300001200214490000700226520134600233653015401579100001401733700002401747700001301771856010601784 2006 eng d00aLocalization of binding sites in protein structures by optimization of a composite scoring function0 aLocalization of binding sites in protein structures by optimizat a2366-800 v153 aThe rise in the number of functionally uncharacterized protein structures is increasing the demand for structure-based methods for functional annotation. Here, we describe a method for predicting the location of a binding site of a given type on a target protein structure. The method begins by constructing a scoring function, followed by a Monte Carlo optimization, to find a good scoring patch on the protein surface. The scoring function is a weighted linear combination of the z-scores of various properties of protein structure and sequence, including amino acid residue conservation, compactness, protrusion, convexity, rigidity, hydrophobicity, and charge density; the weights are calculated from a set of previously identified instances of the binding-site type on known protein structures. The scoring function can easily incorporate different types of information useful in localization, thus increasing the applicability and accuracy of the approach. To test the method, 1008 known protein structures were split into 20 different groups according to the type of the bound ligand. For nonsugar ligands, such as various nucleotides, binding sites were correctly identified in 55%-73% of the cases. The method is completely automated (http://salilab.org/patcher) and can be applied on a large scale in a structural genomics setting.10aAmino Acid Sequence Binding Sites Biomechanics Hydrophobicity Ligands *Monte Carlo Method Protein Conformation Proteins/*chemistry Static Electricity1 aRossi, A.1 aMarti-Renom, M., A.1 aSali, A. uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=1696364501787nas a2200181 4500008004100000245012500041210006900166300001300235490001500248520091200263653004401175653003901219653014701258653005701405100001801462700001901480856010601499 2005 eng d00aLineage-specific gene loss following mitochondrial endosymbiosis and its potential for function prediction in eukaryotes0 aLineagespecific gene loss following mitochondrial endosymbiosis aii144-500 v21 Suppl 23 aMOTIVATION: The endosymbiotic origin of mitochondria has resulted in a massive horizontal transfer of genetic material from an alpha-proteobacterium to the early eukaryotes. Using large-scale phylogenetic analysis we have previously identified 630 orthologous groups of proteins derived from this event. Here we show that this proto-mitochondrial protein set has undergone extensive lineage-specific gene loss in the eukaryotes, with an average of three losses per orthologous group in a phylogeny of nine species. This gene loss has resulted in a high variability of the alphaproteobacterial-derived gene content of present-day eukaryotic genomes that might reflect functional adaptation to different environments. Proteins functioning in the same biochemical pathway tend to have a similar history of gene loss events, and we use this property to predict functional interactions among proteins in our set.10aAnimals Chromosome Mapping/*methods DNA10aMitochondrial/*genetics *Evolution10aMolecular *Gene Deletion Genetic Variation/genetics Humans Linkage Disequilibrium/*genetics Mitochondrial Proteins/*genetics Sequence Homology10aNucleic Acid Species Specificity Symbiosis/*genetics1 aGabaldón, T.1 aHuynen, M., A. uhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=16204094