03013nas a2200433   4500008004100000022001400041245016000055210006900215260001300284300001200297490000700309520160000316653001601916653003801932653001501970653001701985653001902002653002702021653001502048653002602063653002602089653001002115100002402125700002402149700001902173700002002192700002202212700002102234700002202255700002902277700002002306700001802326700002002344700002402364700001902388700002102407700001902428856013202447       2017                        eng d  a1573-502800aIntegration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.).0 aIntegration of transcriptomic and metabolic data reveals hub tra  c2017 Jul  a549-5640 v943 a<p>By integration of transcriptional and metabolic profiles we identified pathways and hubs transcription factors regulated during drought conditions in sunflower, useful for applications in molecular and/or biotechnological breeding. Drought is one of the most important environmental stresses that effects crop productivity in many agricultural regions. Sunflower is tolerant to drought conditions but the mechanisms involved in this tolerance remain unclear at the molecular level. The aim of this study was to characterize and integrate transcriptional and metabolic pathways related to drought stress in sunflower plants, by using a system biology approach. Our results showed a delay in plant senescence with an increase in the expression level of photosynthesis related genes as well as higher levels of sugars, osmoprotectant amino acids and ionic nutrients under drought conditions. In addition, we identified transcription factors that were upregulated during drought conditions and that may act as hubs in the transcriptional network. Many of these transcription factors belong to families implicated in the drought response in model species. The integration of transcriptomic and metabolomic data in this study, together with physiological measurements, has improved our understanding of the biological responses during droughts and contributes to elucidate the molecular mechanisms involved under this environmental condition. These findings will provide useful biotechnological tools to improve stress tolerance while maintaining crop yield under restricted water availability.</p>10aChlorophyll10aGene Expression Regulation, Plant10aHelianthus10aPlant Leaves10aPlant Proteins10aProtein Array Analysis10aRNA, Plant10aStress, Physiological10aTranscription Factors10aWater1 aMoschen, Sebastián1 aDi Rienzo, Julio, A1 aHiggins, Janet1 aTohge, Takayuki1 aWatanabe, Mutsumi1 aGonzalez, Sergio1 aRivarola, Máximo1 aGarcia-Garcia, Francisco1 aDopazo, Joaquin1 aHopp, Esteban1 aHoefgen, Rainer1 aFernie, Alisdair, R1 aPaniego, Norma1 aFernandez, Paula1 aHeinz, Ruth, A  uhttps://www.clinbioinfosspa.es/content/integration-transcriptomic-and-metabolic-data-reveals-hub-transcription-factors-involved02568nas a2200445   4500008004100000022001400041245010000055210006900155260001300224300001200237490000700249520111500256653001201371653002201383653003901405653002601444653002201470653004401492653001701536653003201553653000901585653002701594653005201621653002101673653002701694653001801721653003201739100002201771700001901793700001501812700002001827700002201847700001901869700002001888700002001908700002201928700002101950700002201971856012901993       2012                        eng d  a1530-686000aThe protease MT1-MMP drives a combinatorial proteolytic program in activated endothelial cells.0 aprotease MT1MMP drives a combinatorial proteolytic program in ac  c2012 Nov  a4481-940 v263 a<p>The mechanism by which proteolytic events translate into biological responses is not well understood. To explore the link of pericellular proteolysis to events relevant to capillary sprouting within the inflammatory context, we aimed at the identification of the collection of substrates of the protease MT1-MMP in endothelial tip cells induced by inflammatory stimuli. We applied quantitative proteomics to endothelial cells (ECs) derived from wild-type and MT1-MMP-null mice to identify the substrate repertoire of this protease in TNF-α-activated ECs. Bioinformatics analysis revealed a combinatorial MT1-MMP proteolytic program, in which combined rather than single substrate processing would determine biological decisions by activated ECs, including chemotaxis, cell motility and adhesion, and vasculature development. MT1-MMP-deficient ECs inefficiently processed several of these substrates (TSP1, CYR61, NID1, and SEM3C), validating the model. This novel concept of MT1-MMP-driven combinatorial proteolysis in angiogenesis might be extendable to proteolytic actions in other cellular contexts.</p>10aAnimals10aBlotting, Western10aCombinatorial Chemistry Techniques10aComputational Biology10aEndothelial Cells10aGene Expression Regulation, Enzymologic10aInflammation10aMatrix Metalloproteinase 1410aMice10aProtein Array Analysis10aReverse Transcriptase Polymerase Chain Reaction10aRNA Interference10aRNA, Small Interfering10aTranscriptome10aTumor Necrosis Factor-alpha1 aKoziol, Agnieszka1 aGonzalo, Pilar1 aMota, Alba1 aPollán, Angela1 aLorenzo, Cristina1 aColomé, Nuria1 aMontaner, David1 aDopazo, Joaquin1 aArribas, Joaquín1 aCanals, Francesc1 aArroyo, Alicia, G  uhttps://www.clinbioinfosspa.es/content/protease-mt1-mmp-drives-combinatorial-proteolytic-program-activated-endothelial-cells