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10. Antisense and sense expression of cDNA coding for CYP73A15, a class II cinnamate 4-hydroxylase, leads to a delayed and reduced production of lignin in tobacco

Author

Blee, K, Choi, J. W, O'Connell, A. P, Jupe, S. C, Schuch, W, Lewis, N. G, and Bolwell, G. P

Subjects
Life Sciences (General)
Abstract

A number of plant species contain the class II of genes encoding the cytochrome P450, CYP73, the cognate protein of which cinnamic acid 4-hydroxylase, is the second enzyme of the phenylpropanoid pathway. In order to begin to determine possible functionality, tobacco has been transformed with a truncated French bean class II cinnamate hydroxylase (CYP73A15) in the sense and antisense orientations. Signals for C4H protein could be detected in vascular tissue from wild-type plants using heterologous probes. The transformed plants showed a normal phenotype, even though detectable C4H protein was much reduced in tissue prints. Young propagated transformants displayed a range of reduced C4H activities, as well as either reduced or no phloroglucinol-stainable lignin. However, all mature tobacco plants showed the accumulation of lignin, even though its deposition was apparently delayed. This was not due to induction of tyrosine ammonia-lyase activity, which was not detected, but instead it is presumed due to sufficient C4H residual activity. Analysis of the lignin content of the plants showed reductions of up to 30% with a slightly reduced syringyl to guaiacyl ratio as compared to wild type. This reduction level was favourable in comparison with some other targets in the lignification pathway that have been manipulated including that of class I cinnamate 4-hydroxylase. It is proposed that the class II cinnamate 4-hydroxylase might also function in lignification in a number of species including French bean and tobacco, based on these data.

Published
2001
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13. A GWAS sequence variant for platelet volume marks an alternative DNM3 promoter in megakaryocytes near a MEIS1 binding site

Author

Nürnberg ST, Rendon A, Smethurst PA, Paul DS, Voss K, Thon JN, Lloyd Jones H, Sambrook JG, Tijssen MR, Gieger C, Radhakrishnan A, Cvejic A, Tang W, Porcu E, Pistis G, Serbanovic Canic J, Elling U, Goodall AH, Labrune Y, Lopez LM, Mägi R, Meacham S, Okada Y, Sorice R, Teumer A, Zhang W, Ramirez Solis R, Bis JC, Ellinghaus D, Gögele M, Hottenga JJ, Langenberg C, Kovacs P, F. P, Shin SY, Esko T, Hartiala J, Kanoni S, Murgia F, Parsa A, Stephens J, van der Harst P, van der Schoot C, Allayee H, Attwood A, Balkau B, Bastardot F, Basu S, Baumeister SE, Biino G, Bomba L, Bonnefond A, Cambien F, Chambers JC, Cucca F, Davies G, de Geus EJ, de Boer RA, Döring A, Elliott P, Erdmann J, Feng W, Evans DM, Falchi M, Folsom AR, Frazer IH, Gibson QD, Glazer NL, Hammond C, Hartikainen AL, Heckbert SR, Hengstenberg C, Hersch M, Illig T, Loos RJ, Jolley J, Khaw KT, Kühnel B, Kyrtsonis MC, Lagou V, Lumley T, Mangino M, Maschio A, Mateo Leach I, McKnight B, Memari Y, Mitchell BD, Montgomery GW, Nöthlings U, Nakamura Y, Nauck M, Navis G, Nolte IM, Porteous DJ, Pouta A, Pramstaller PP, Pullat J, Ring SM, Rotter JI, Ruggiero D, Ruokonen A, Sala C, Samani NJ, Sambrook J, Schlessinger D, Schreiber S, Schunkert H, Scott J, Smith NL, Snieder H, Starr JM, Stumvoll M, Takahashi A, Taylor K, Tenesa A, Thein SL, Tönjes A, Uda M, Ulivi S, Wichmann HE, Yang TP, van Veldhuisen DJ, Visscher PM, Völker U, Wiggins KL, Willemsen G, Zhao JH, Zitting P, Bradley JR, Dedoussis GV, Hazen SL, Metspalu A, Pirastu M, Shuldiner AR, van Pelt L, Zwaginga JJ, Boomsma DI, Deary IJ, Franke A, Froguel P, Ganesh SK, Jarvelin MR, Martin NG, Meisinger C, Psaty BM, Spector TD, Wareham NJ, Akkerman JW, Ciullo M, Deloukas P, Greinacher A, Jupe S, Kamatani N, Khadake J, Kooner JS, Penninger J, Prokopenko I, Stemple D, Toniolo D, Wernisch L, Sanna S, Hicks AA, Ferreira MA, Italiano JE Jr, Gottgens B, Soranzo N, Ouwehand WH, PIRASTU, Nicola, D'ADAMO, ADAMO PIO, GASPARINI, PAOLO, Nürnberg, St, Rendon, A, Smethurst, Pa, Paul, D, Voss, K, Thon, Jn, Lloyd Jones, H, Sambrook, Jg, Tijssen, Mr, Gieger, C, Radhakrishnan, A, Cvejic, A, Tang, W, Porcu, E, Pistis, G, Serbanovic Canic, J, Elling, U, Goodall, Ah, Labrune, Y, Lopez, Lm, Mägi, R, Meacham, S, Okada, Y, Pirastu, Nicola, Sorice, R, Teumer, A, Zhang, W, Ramirez Solis, R, Bis, Jc, Ellinghaus, D, Gögele, M, Hottenga, Jj, Langenberg, C, Kovacs, P, F., P, Shin, Sy, Esko, T, Hartiala, J, Kanoni, S, Murgia, F, Parsa, A, Stephens, J, van der Harst, P, van der Schoot, C, Allayee, H, Attwood, A, Balkau, B, Bastardot, F, Basu, S, Baumeister, Se, Biino, G, Bomba, L, Bonnefond, A, Cambien, F, Chambers, Jc, Cucca, F, D'Adamo, ADAMO PIO, Davies, G, de Geus, Ej, de Boer, Ra, Döring, A, Elliott, P, Erdmann, J, Feng, W, Evans, Dm, Falchi, M, Folsom, Ar, Frazer, Ih, Gibson, Qd, Glazer, Nl, Hammond, C, Hartikainen, Al, Heckbert, Sr, Hengstenberg, C, Hersch, M, Illig, T, Loos, Rj, Jolley, J, Khaw, Kt, Kühnel, B, Kyrtsonis, Mc, Lagou, V, Lumley, T, Mangino, M, Maschio, A, Mateo Leach, I, Mcknight, B, Memari, Y, Mitchell, Bd, Montgomery, Gw, Nöthlings, U, Nakamura, Y, Nauck, M, Navis, G, Nolte, Im, Porteous, Dj, Pouta, A, Pramstaller, Pp, Pullat, J, Ring, Sm, Rotter, Ji, Ruggiero, D, Ruokonen, A, Sala, C, Samani, Nj, Sambrook, J, Schlessinger, D, Schreiber, S, Schunkert, H, Scott, J, Smith, Nl, Snieder, H, Starr, Jm, Stumvoll, M, Takahashi, A, Taylor, K, Tenesa, A, Thein, Sl, Tönjes, A, Uda, M, Ulivi, S, Wichmann, He, Yang, Tp, van Veldhuisen, Dj, Visscher, Pm, Völker, U, Wiggins, Kl, Willemsen, G, Zhao, Jh, Zitting, P, Bradley, Jr, Dedoussis, Gv, Gasparini, Paolo, Hazen, Sl, Metspalu, A, Pirastu, M, Shuldiner, Ar, van Pelt, L, Zwaginga, Jj, Boomsma, Di, Deary, Ij, Franke, A, Froguel, P, Ganesh, Sk, Jarvelin, Mr, Martin, Ng, Meisinger, C, Psaty, Bm, Spector, Td, Wareham, Nj, Akkerman, Jw, Ciullo, M, Deloukas, P, Greinacher, A, Jupe, S, Kamatani, N, Khadake, J, Kooner, J, Penninger, J, Prokopenko, I, Stemple, D, Toniolo, D, Wernisch, L, Sanna, S, Hicks, Aa, Ferreira, Ma, Italiano JE, Jr, Gottgens, B, Soranzo, N, Ouwehand, Wh, Biological Psychology, and EMGO+ - Mental Health

Subjects
Netherlands Twin Register (NTR), Transcription, Genetic, Gene Expression, Biochemistry, megakaryocyte, Mice, DNM3 promoter, Transcription (biology), GWAS, Platelet, Thrombopoiesis, Myeloid Ecotropic Viral Integration Site 1 Protein, Promoter Regions, Genetic, Cells, Cultured, Reverse Transcriptase Polymerase Chain Reaction, Hematology, Neoplasm Proteins, Haematopoiesis, Transcription Initiation Site, Megakaryocytes, platelet volume, DNM3, megakaryocytes, MEIS1, Blood Platelets, Chromatin Immunoprecipitation, Immunology, Biology, Polymorphism, Single Nucleotide, MEIS1 binding site, SDG 3 - Good Health and Well-being, Cell Line, Tumor, Animals, Humans, Cell Lineage, Binding site, Gene, Transcription factor, Homeodomain Proteins, Binding Sites, Genome, Human, Platelet Count, Hydrazones, Genetic Variation, Cell Biology, Sequence Analysis, DNA, Platelets and Thrombopoiesis, Molecular biology, Dynamin III
Abstract

We recently identified 68 genomic loci where common sequence variants are associated with platelet count and volume. Platelets are formed in the bone marrow by megakaryocytes, which are derived from hematopoietic stem cells by a process mainly controlled by transcription factors. The homeobox transcription factor MEIS1 is uniquely transcribed in megakaryocytes and not in the other lineage-committed blood cells. By ChIP-seq, we show that 5 of the 68 loci pinpoint a MEIS1 binding event within a group of 252 MK-overexpressed genes. In one such locus in DNM3, regulating platelet volume, the MEIS1 binding site falls within a region acting as an alternative promoter that is solely used in megakaryocytes, where allelic variation dictates different levels of a shorter transcript. The importance of dynamin activity to the latter stages of thrombopoiesis was confirmed by the observation that the inhibitor Dynasore reduced murine proplatelet for-mation in vitro.

Published
2013
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28. Active Management of MV and LV Distribution Networks

Author

Taylor, P, Jupe, S, Lyons, P, Michiorri, Andrea, Trichakis, P, Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques (PERSEE), MINES ParisTech - École nationale supérieure des mines de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

Subjects
Active Distribution Automation, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Distributed Generation, Active Network Management, Micro-generation, Distribution Networks
Abstract

International audience; The proliferation of distributed generation (DG) is expected to lead to a change in philosophy in the manner that distribution networks are managed and operated. It is envisaged that distribution networks will be transformed from passive to active entities in order to accommodate the connection of DG. This paper presents current research at Durham University relating to the active management of distribution networks at MV and LV levels. A dynamic thermal rating system has been proposed for the control of DG at the MV level. Furthermore, a multi-agent system-based distributed control approach has been presented for the coordinated control of micro-generators, energy storage units and controllable loads at the LV level.

Published
2009

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