@article {383,
	title = {Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.).},
	journal = {Plant Mol Biol},
	volume = {94},
	year = {2017},
	month = {2017 Jul},
	pages = {549-564},
	abstract = {<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>},
	keywords = {Chlorophyll, Gene Expression Regulation, Plant, Helianthus, Plant Leaves, Plant Proteins, Protein Array Analysis, RNA, Plant, Stress, Physiological, Transcription Factors, Water},
	issn = {1573-5028},
	doi = {10.1007/s11103-017-0625-5},
	author = {Moschen, Sebasti{\'a}n and Di Rienzo, Julio A and Higgins, Janet and Tohge, Takayuki and Watanabe, Mutsumi and Gonzalez, Sergio and Rivarola, M{\'a}ximo and Garcia-Garcia, Francisco and Dopazo, Joaquin and Hopp, H Esteban and Hoefgen, Rainer and Fernie, Alisdair R and Paniego, Norma and Fernandez, Paula and Heinz, Ruth A}
}
@article {521,
	title = {The protease MT1-MMP drives a combinatorial proteolytic program in activated endothelial cells.},
	journal = {FASEB J},
	volume = {26},
	year = {2012},
	month = {2012 Nov},
	pages = {4481-94},
	abstract = {<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>},
	keywords = {Animals, Blotting, Western, Combinatorial Chemistry Techniques, Computational Biology, Endothelial Cells, Gene Expression Regulation, Enzymologic, Inflammation, Matrix Metalloproteinase 14, Mice, Protein Array Analysis, Reverse Transcriptase Polymerase Chain Reaction, RNA Interference, RNA, Small Interfering, Transcriptome, Tumor Necrosis Factor-alpha},
	issn = {1530-6860},
	doi = {10.1096/fj.12-205906},
	author = {Koziol, Agnieszka and Gonzalo, Pilar and Mota, Alba and Poll{\'a}n, Angela and Lorenzo, Cristina and Colom{\'e}, Nuria and Montaner, David and Dopazo, Joaquin and Arribas, Joaqu{\'\i}n and Canals, Francesc and Arroyo, Alicia G}
}
