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  • Articles  (8)
  • Signal Transduction
  • American Association for the Advancement of Science (AAAS)  (8)
  • 2010-2014  (8)
  • 2014  (8)
  • 1
    Publication Date: 2014-04-20
    Description: Cytoplasmic plant immune receptors recognize specific pathogen effector proteins and initiate effector-triggered immunity. In Arabidopsis, the immune receptors RPS4 and RRS1 are both required to activate defense to three different pathogens. We show that RPS4 and RRS1 physically associate. Crystal structures of the N-terminal Toll-interleukin-1 receptor/resistance (TIR) domains of RPS4 and RRS1, individually and as a heterodimeric complex (respectively at 2.05, 1.75, and 2.65 angstrom resolution), reveal a conserved TIR/TIR interaction interface. We show that TIR domain heterodimerization is required to form a functional RRS1/RPS4 effector recognition complex. The RPS4 TIR domain activates effector-independent defense, which is inhibited by the RRS1 TIR domain through the heterodimerization interface. Thus, RPS4 and RRS1 function as a receptor complex in which the two components play distinct roles in recognition and signaling.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Williams, Simon J -- Sohn, Kee Hoon -- Wan, Li -- Bernoux, Maud -- Sarris, Panagiotis F -- Segonzac, Cecile -- Ve, Thomas -- Ma, Yan -- Saucet, Simon B -- Ericsson, Daniel J -- Casey, Lachlan W -- Lonhienne, Thierry -- Winzor, Donald J -- Zhang, Xiaoxiao -- Coerdt, Anne -- Parker, Jane E -- Dodds, Peter N -- Kobe, Bostjan -- Jones, Jonathan D G -- New York, N.Y. -- Science. 2014 Apr 18;344(6181):299-303. doi: 10.1126/science.1247357.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉School of Chemistry and Molecular Biosciences and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane, QLD 4072, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24744375" target="_blank"〉PubMed〈/a〉
    Keywords: Agrobacterium/physiology ; Amino Acid Motifs ; Arabidopsis/chemistry/*immunology/microbiology ; Arabidopsis Proteins/*chemistry/genetics/metabolism ; Bacterial Proteins/immunology/metabolism ; Cell Death ; Crystallography, X-Ray ; Immunity, Innate ; Models, Molecular ; Mutation ; Plant Diseases/immunology/microbiology ; Plant Leaves/microbiology ; Plant Proteins/*chemistry/genetics/metabolism ; Plants, Genetically Modified ; Protein Interaction Domains and Motifs ; Protein Multimerization ; Protein Structure, Secondary ; Protein Structure, Tertiary ; Receptors, Immunologic/*chemistry/genetics/metabolism ; Signal Transduction ; Tobacco/genetics/immunology/metabolism/microbiology
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  • 2
    Publication Date: 2014-12-06
    Description: Immune and inflammatory responses require leukocytes to migrate within and through the vasculature, a process that is facilitated by their capacity to switch to a polarized morphology with an asymmetric distribution of receptors. We report that neutrophil polarization within activated venules served to organize a protruding domain that engaged activated platelets present in the bloodstream. The selectin ligand PSGL-1 transduced signals emanating from these interactions, resulting in the redistribution of receptors that drive neutrophil migration. Consequently, neutrophils unable to polarize or to transduce signals through PSGL-1 displayed aberrant crawling, and blockade of this domain protected mice against thromboinflammatory injury. These results reveal that recruited neutrophils scan for activated platelets, and they suggest that the neutrophils' bipolarity allows the integration of signals present at both the endothelium and the circulation before inflammation proceeds.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280847/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280847/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sreeramkumar, Vinatha -- Adrover, Jose M -- Ballesteros, Ivan -- Cuartero, Maria Isabel -- Rossaint, Jan -- Bilbao, Izaskun -- Nacher, Maria -- Pitaval, Christophe -- Radovanovic, Irena -- Fukui, Yoshinori -- McEver, Rodger P -- Filippi, Marie-Dominique -- Lizasoain, Ignacio -- Ruiz-Cabello, Jesus -- Zarbock, Alexander -- Moro, Maria A -- Hidalgo, Andres -- HL03463/HL/NHLBI NIH HHS/ -- HL085607/HL/NHLBI NIH HHS/ -- HL090676/HL/NHLBI NIH HHS/ -- P01 HL085607/HL/NHLBI NIH HHS/ -- R01 HL034363/HL/NHLBI NIH HHS/ -- R01 HL090676/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2014 Dec 5;346(6214):1234-8. doi: 10.1126/science.1256478. Epub 2014 Dec 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Atherothrombosis, Imaging and Epidemiology, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. ; Unidad de Investigacion Neurovascular, Department of Pharmacology, Faculty of Medicine, Universidad Complutense and Instituto de Investigacion Hospital 12 de Octubre (i+12), Madrid, Spain. ; Department of Anesthesiology and Critical Care Medicine, University of Munster and Max Planck Institute Munster, Munster, Germany. ; Department of Atherothrombosis, Imaging and Epidemiology, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. Ciber de Enfermedades Respiratorias (CIBERES), Madrid, Spain. ; Department of Atherothrombosis, Imaging and Epidemiology, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. Faculty of Science, Medicine and Health, University of Wollongong, New South Wales, Australia. ; Division of Immunogenetics, Department of Immunobiology and Neuroscience, Kyushu University, Japan. ; Cardiovascular Biology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA. ; Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Research Foundation, University of Cincinnati College of Medicine, Cincinnati, OH, USA. ; Department of Atherothrombosis, Imaging and Epidemiology, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. Institute for Cardiovascular Prevention, Ludwig-Maximilians-University, Munich, Germany. ahidalgo@cnic.es.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25477463" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Blood Circulation ; Blood Platelets/*immunology ; Cell Movement ; Cell Polarity ; Endothelium, Vascular/immunology ; Inflammation/blood/*immunology ; Male ; Membrane Glycoproteins ; Mice ; Mice, Inbred C57BL ; Neutrophils/*immunology ; *Platelet Activation ; Signal Transduction ; Thrombosis/*immunology ; Venules/immunology
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  • 3
    Publication Date: 2014-03-15
    Description: Motor neurons, which relay neural commands to drive skeletal muscle movements, encompass types ranging from "slow" to "fast," whose biophysical properties govern the timing, gradation, and amplitude of muscle force. Here we identify the noncanonical Notch ligand Delta-like homolog 1 (Dlk1) as a determinant of motor neuron functional diversification. Dlk1, expressed by ~30% of motor neurons, is necessary and sufficient to promote a fast biophysical signature in the mouse and chick. Dlk1 suppresses Notch signaling and activates expression of the K(+) channel subunit Kcng4 to modulate delayed-rectifier currents. Dlk1 inactivation comprehensively shifts motor neurons toward slow biophysical and transcriptome signatures, while abolishing peak force outputs. Our findings provide insights into the development of motor neuron functional diversity and its contribution to the execution of movements.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Muller, Daniel -- Cherukuri, Pitchaiah -- Henningfeld, Kristine -- Poh, Chor Hoon -- Wittler, Lars -- Grote, Phillip -- Schluter, Oliver -- Schmidt, Jennifer -- Laborda, Jorge -- Bauer, Steven R -- Brownstone, Robert M -- Marquardt, Till -- R01 HD042013/HD/NICHD NIH HHS/ -- Canadian Institutes of Health Research/Canada -- New York, N.Y. -- Science. 2014 Mar 14;343(6176):1264-6. doi: 10.1126/science.1246448.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Developmental Neurobiology Laboratory, European Neuroscience Institute (ENI-G), Grisebachstrasse 5, 37077 Gottingen, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24626931" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Gene Expression Regulation ; Intercellular Signaling Peptides and Proteins/genetics/*physiology ; Mice ; Mice, Knockout ; Motor Neurons/*metabolism ; Movement ; Muscle Fibers, Skeletal/physiology ; Muscle, Skeletal/innervation/*physiology ; Potassium Channels, Voltage-Gated/genetics ; Receptors, Notch/*physiology ; Signal Transduction ; Transcriptome
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  • 4
    Publication Date: 2014-01-11
    Description: It has been assumed that most, if not all, signals regulating early development have been identified. Contrary to this expectation, we identified 28 candidate signaling proteins expressed during zebrafish embryogenesis, including Toddler, a short, conserved, and secreted peptide. Both absence and overproduction of Toddler reduce the movement of mesendodermal cells during zebrafish gastrulation. Local and ubiquitous production of Toddler promote cell movement, suggesting that Toddler is neither an attractant nor a repellent but acts globally as a motogen. Toddler drives internalization of G protein-coupled APJ/Apelin receptors, and activation of APJ/Apelin signaling rescues toddler mutants. These results indicate that Toddler is an activator of APJ/Apelin receptor signaling, promotes gastrulation movements, and might be the first in a series of uncharacterized developmental signals.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107353/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107353/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pauli, Andrea -- Norris, Megan L -- Valen, Eivind -- Chew, Guo-Liang -- Gagnon, James A -- Zimmerman, Steven -- Mitchell, Andrew -- Ma, Jiao -- Dubrulle, Julien -- Reyon, Deepak -- Tsai, Shengdar Q -- Joung, J Keith -- Saghatelian, Alan -- Schier, Alexander F -- K99 HD076935/HD/NICHD NIH HHS/ -- R01 GM056211/GM/NIGMS NIH HHS/ -- R01 GM102491/GM/NIGMS NIH HHS/ -- R01 HG005111/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Feb 14;343(6172):1248636. doi: 10.1126/science.1248636. Epub 2014 Jan 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24407481" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; *Cell Movement ; Chemokine CXCL12/metabolism ; Frameshift Mutation ; Gastrulation/genetics/*physiology ; Molecular Sequence Data ; Receptors, G-Protein-Coupled/genetics/*metabolism ; Signal Transduction ; Zebrafish/*embryology/genetics/metabolism ; Zebrafish Proteins/genetics/*metabolism
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  • 5
    Publication Date: 2014-11-29
    Description: T cell responses are initiated by antigen and promoted by a range of costimulatory signals. Understanding how T cells integrate alternative signal combinations and make decisions affecting immune response strength or tolerance poses a considerable theoretical challenge. Here, we report that T cell receptor (TCR) and costimulatory signals imprint an early, cell-intrinsic, division fate, whereby cells effectively count through generations before returning automatically to a quiescent state. This autonomous program can be extended by cytokines. Signals from the TCR, costimulatory receptors, and cytokines add together using a linear division calculus, allowing the strength of a T cell response to be predicted from the sum of the underlying signal components. These data resolve a long-standing costimulation paradox and provide a quantitative paradigm for therapeutically manipulating immune response strength.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Marchingo, Julia M -- Kan, Andrey -- Sutherland, Robyn M -- Duffy, Ken R -- Wellard, Cameron J -- Belz, Gabrielle T -- Lew, Andrew M -- Dowling, Mark R -- Heinzel, Susanne -- Hodgkin, Philip D -- New York, N.Y. -- Science. 2014 Nov 28;346(6213):1123-7. doi: 10.1126/science.1260044.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Immunology, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia. ; Hamilton Institute, National University of Ireland, Maynooth, Ireland. ; Division of Immunology, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia. The Royal Melbourne Hospital, Parkville, VIC, Australia. ; Division of Immunology, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia. hodgkin@wehi.edu.au.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25430770" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antigens/*immunology ; CD8-Positive T-Lymphocytes/cytology/*immunology ; Cell Division ; Cell Proliferation ; Cytokines/*immunology ; *Immune Tolerance ; Lymphocyte Activation ; Mice ; Receptors, Antigen, T-Cell/*immunology ; Signal Transduction
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  • 6
    Publication Date: 2014-10-25
    Description: Cellular circuits sense the environment, process signals, and compute decisions using networks of interacting proteins. To model such a system, the abundance of each activated protein species can be described as a stochastic function of the abundance of other proteins. High-dimensional single-cell technologies, such as mass cytometry, offer an opportunity to characterize signaling circuit-wide. However, the challenge of developing and applying computational approaches to interpret such complex data remains. Here, we developed computational methods, based on established statistical concepts, to characterize signaling network relationships by quantifying the strengths of network edges and deriving signaling response functions. In comparing signaling between naive and antigen-exposed CD4(+) T lymphocytes, we find that although these two cell subtypes had similarly wired networks, naive cells transmitted more information along a key signaling cascade than did antigen-exposed cells. We validated our characterization on mice lacking the extracellular-regulated mitogen-activated protein kinase (MAPK) ERK2, which showed stronger influence of pERK on pS6 (phosphorylated-ribosomal protein S6), in naive cells as compared with antigen-exposed cells, as predicted. We demonstrate that by using cell-to-cell variation inherent in single-cell data, we can derive response functions underlying molecular circuits and drive the understanding of how cells process signals.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334155/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334155/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Krishnaswamy, Smita -- Spitzer, Matthew H -- Mingueneau, Michael -- Bendall, Sean C -- Litvin, Oren -- Stone, Erica -- Pe'er, Dana -- Nolan, Garry P -- 1K01DK095008/DK/NIDDK NIH HHS/ -- 1R01CA130826/CA/NCI NIH HHS/ -- 1U54CA121852-01A1/CA/NCI NIH HHS/ -- CA 09-011/CA/NCI NIH HHS/ -- HHSN268201000034C/HV/NHLBI NIH HHS/ -- HHSN272200700038C/PHS HHS/ -- HV-10-05/HV/NHLBI NIH HHS/ -- K01 DK095008/DK/NIDDK NIH HHS/ -- P01 CA034233/CA/NCI NIH HHS/ -- R00 GM104148/GM/NIGMS NIH HHS/ -- R01 CA130826/CA/NCI NIH HHS/ -- S10RR027582-01/RR/NCRR NIH HHS/ -- U19 AI057229/AI/NIAID NIH HHS/ -- U19 AI100627/AI/NIAID NIH HHS/ -- U54 CA149145/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2014 Nov 28;346(6213):1250689. doi: 10.1126/science.1250689. Epub 2014 Oct 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, NY, USA. ; Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA. ; Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA. ; Molecular Biology Section, Division of Biological Sciences, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA. ; Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, NY, USA. dpeer@biology.columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25342659" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; CD4-Positive T-Lymphocytes/*immunology ; Computer Simulation ; Image Cytometry ; Male ; Mice ; Mice, Mutant Strains ; Mitogen-Activated Protein Kinase 1/genetics ; Receptors, Antigen, T-Cell/*metabolism ; Ribosomal Protein S6/metabolism ; Signal Transduction ; Single-Cell Analysis/*methods ; Systems Biology/*methods ; eIF-2 Kinase/metabolism
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  • 7
    Publication Date: 2014-01-18
    Description: Btk29A is the Drosophila ortholog of the mammalian Bruton's tyrosine kinase (Btk), mutations of which in humans cause a heritable immunodeficiency disease. Btk29A mutations stabilized the proliferating cystoblast fate, leading to an ovarian tumor. This phenotype was rescued by overexpression of wild-type Btk29A and phenocopied by the interference of Wnt4-beta-catenin signaling or its putative downstream nuclear protein Piwi in somatic escort cells. Btk29A and mammalian Btk directly phosphorylated tyrosine residues of beta-catenin, leading to the up-regulation of its transcriptional activity. Thus, we identify a transcriptional switch involving the kinase Btk29A/Btk and its phosphorylation target, beta-catenin, which functions downstream of Wnt4 in escort cells to terminate Drosophila germ cell proliferation through up-regulation of piwi expression. This signaling mechanism likely represents a versatile developmental switch.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hamada-Kawaguchi, Noriko -- Nore, Beston F -- Kuwada, Yusuke -- Smith, C I Edvard -- Yamamoto, Daisuke -- New York, N.Y. -- Science. 2014 Jan 17;343(6168):294-7. doi: 10.1126/science.1244512.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Developmental Biology and Neurosciences, Tohoku University Graduate School of Life Sciences, Sendai 980-8577, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24436419" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Argonaute Proteins/*biosynthesis ; *Cell Proliferation ; DNA Breaks, Double-Stranded ; Drosophila Proteins/*biosynthesis/genetics/*metabolism ; Drosophila melanogaster/genetics/metabolism/*physiology ; Gene Knockdown Techniques ; Genomic Instability ; Germ Cells/cytology/metabolism/*physiology ; Glycoproteins/genetics/*metabolism ; Phosphorylation ; Protein-Tyrosine Kinases/genetics/*metabolism ; RNA, Small Interfering/genetics/metabolism ; Signal Transduction ; Transcription, Genetic ; Tyrosine/genetics/metabolism ; Up-Regulation ; Wnt Proteins/genetics/*metabolism ; beta Catenin/genetics/*metabolism
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  • 8
    Publication Date: 2014-04-26
    Description: Light is a source of energy and also a regulator of plant physiological adaptations. We show here that light/dark conditions affect alternative splicing of a subset of Arabidopsis genes preferentially encoding proteins involved in RNA processing. The effect requires functional chloroplasts and is also observed in roots when the communication with the photosynthetic tissues is not interrupted, suggesting that a signaling molecule travels through the plant. Using photosynthetic electron transfer inhibitors with different mechanisms of action, we deduce that the reduced pool of plastoquinones initiates a chloroplast retrograde signaling that regulates nuclear alternative splicing and is necessary for proper plant responses to varying light conditions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382720/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4382720/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Petrillo, Ezequiel -- Godoy Herz, Micaela A -- Fuchs, Armin -- Reifer, Dominik -- Fuller, John -- Yanovsky, Marcelo J -- Simpson, Craig -- Brown, John W S -- Barta, Andrea -- Kalyna, Maria -- Kornblihtt, Alberto R -- BB/G024979/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- P 26333/Austrian Science Fund FWF/Austria -- Biotechnology and Biological Sciences Research Council/United Kingdom -- New York, N.Y. -- Science. 2014 Apr 25;344(6182):427-30. doi: 10.1126/science.1250322. Epub 2014 Apr 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratorio de Fisiologia y Biologia Molecular, Departamento de Fisiologia, Biologia Molecular y Celular, IFIBYNE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, Pabellon 2, C1428EHA Buenos Aires, Argentina.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24763593" target="_blank"〉PubMed〈/a〉
    Keywords: *Alternative Splicing ; Arabidopsis/*genetics/metabolism ; Arabidopsis Proteins/genetics/metabolism ; Cell Nucleus/genetics ; Chloroplasts/*metabolism ; Circadian Clocks ; Dibromothymoquinone/pharmacology ; Diuron/pharmacology ; Electron Transport/drug effects ; *Gene Expression Regulation, Plant ; Light ; Models, Biological ; Oxidation-Reduction ; Photosynthesis/drug effects ; Plant Leaves/metabolism ; Plant Roots/metabolism ; Plants, Genetically Modified ; Plastoquinone/*metabolism ; RNA Stability ; RNA, Messenger/genetics/metabolism ; RNA, Plant/genetics/metabolism ; Seedlings/genetics/metabolism ; Signal Transduction
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