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Rudi J. Planta

Bio: Rudi J. Planta is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Ribosomal RNA & Ribosomal protein. The author has an hindex of 57, co-authored 201 publications receiving 10001 citations.


Papers
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Journal ArticleDOI
Stephen G. Oliver1, Q. J. M. van der Aart2, M. L. Agostoni-Carbone3, Michel Aigle, Lilia Alberghina3, Despina Alexandraki, G. Antoine4, Rashida Anwar1, Juan P. G. Ballesta, Paule Bénit4, Gilbert Berben, Elisabetta Bergantino, N. Biteau, P. A. Bolle, Monique Bolotin-Fukuhara5, Anthony G. A. Brown1, Alistair J. P. Brown6, J. M. Buhler, C. Carcano3, Giovanna Carignani, Håkan Cederberg, R. Chanet4, Roland Contreras, Marc Crouzet, B. Daignan-Fornier5, E. Defoor7, M. Delgado, Jan Demolder, C. Doira5, Evelyne Dubois, Bernard Dujon8, A. Düsterhöft, D. Erdmann, M. Esteban, F. Fabre4, Cécile Fairhead8, Gérard Faye4, Horst Feldmann9, Walter Fiers, M. C. Francingues-Gaillard5, L. Franco, Laura Frontali10, H. Fukuhara4, L. J. Fuller11, P. Galland, Manda E. Gent1, D. Gigot, Véronique Gilliquet, Glansdorff Nn, André Goffeau12, M. Grenson13, P. Grisanti10, Leslie A. Grivell14, M. de Haan14, M. Haasemann, D. Hatat15, Janet Hoenicka, Johannes H. Hegemann, C. J. Herbert16, François Hilger, Stefan Hohmann, Cornelis P. Hollenberg, K. Huse, F. Iborra5, K. J. Indje1, K. Isono17, C. Jacq15, M. Jacquet5, C. M. James1, J. C. Jauniaux13, Y. Jia16, Alberto Jiménez, A. Kelly18, U. Kleinhans, P Kreisl, G. Lanfranchi, C Lewis11, C. G. vanderLinden19, G Lucchini3, K Lutzenkirchen, M.J. Maat14, L. Mallet5, G. Mannhaupet9, Enzo Martegani3, A. Mathieu4, C. T. C. Maurer19, David J. McConnell18, R. A. McKee11, F. Messenguy, Hans-Werner Mewes, Francis Molemans, M. A. Montague18, M. Muzi Falconi3, L. Navas, Carol S. Newlon20, D. Noone18, C. Pallier5, L. Panzeri3, Bruce M. Pearson11, J. Perea15, Peter Philippsen, A. Pierard, Rudi J. Planta19, Paolo Plevani3, B. Poetsch, Fritz M. Pohl21, B. Purnelle12, M. Ramezani Rad, S. W. Rasmussen, A. Raynal5, Miguel Remacha, P. Richterich21, Aki Roberts6, F. Rodriguez3, E. Sanz, I. Schaaff-Gerstenschlager, Bart Scherens, Bertold Schweitzer, Y. Shu15, J. Skala12, Piotr P. Slonimski16, F. Sor4, C. Soustelle5, R. Spiegelberg, Lubomira Stateva1, H. Y. Steensma2, S. Steiner, Agnès Thierry8, George Thireos, Maria Tzermia, L. A. Urrestarazu13, Giorgio Valle, I. Vetter9, J. C. van Vliet-Reedijk19, Marleen Voet7, Guido Volckaert7, P. Vreken19, H. Wang18, John R. Warmington1, D. von Wettstein, Barton Luke Wicksteed6, C. Wilson10, H. Wurst21, G. Xu, A. Yoshikawa17, Friedrich K. Zimmermann, J. G. Sgouros 
07 May 1992-Nature
TL;DR: The entire DNA sequence of chromosome III of the yeast Saccharomyces cerevisiae has been determined, which is the first complete sequence analysis of an entire chromosome from any organism.
Abstract: The entire DNA sequence of chromosome III of the yeast Saccharomyces cerevisiae has been determined. This is the first complete sequence analysis of an entire chromosome from any organism. The 315-kilobase sequence reveals 182 open reading frames for proteins longer than 100 amino acids, of which 37 correspond to known genes and 29 more show some similarity to sequences in databases. Of 55 new open reading frames analysed by gene disruption, three are essential genes; of 42 non-essential genes that were tested, 14 show some discernible effect on phenotype and the remaining 28 have no overt function.

811 citations

Journal ArticleDOI
Bernard Dujon1, Despina Alexandraki2, Bruno André3, W. Ansorge, Victoriano Baladrón4, Juan P. G. Ballesta5, Andrea Banrevi, P. A. Bolle, Monique Bolotin-Fukuhara6, Peter Bossier7, Germán Bou5, J. Boyer1, M. J. Buitrago4, Geneviève Chéret, Laurence Colleaux1, B. Dalgnan-Fornier6, F. del Rey4, Caroline Dion, H. Domdey, A. Düsterhöft, S. Düsterhus8, K. D. Entian8, Holger Erfle, Pedro F. Esteban4, Heidi Feldmann9, L. Fernandes7, G. M. Fobo, C. Fritz, Hiroshi Fukuhara, C. Gabel, L. Gaillon1, J. M. Carcia-Cantalejo5, José J. García-Ramírez4, Manda E. Gent10, Marjan Ghazvini1, Marjan Ghazvini11, André Goffeau12, A. Gonzaléz4, Dietmar Grothues, Paulo Guerreiro7, Johannes H. Hegemann, N. Hewitt, François Hilger, Cornelis P. Hollenberg, O. Horaitis2, O. Horaitis13, Keith J. Indge10, Alain Jacquier1, C. M. James10, J. C. Jauniaux3, J. C. Jauniaux14, A. Jimenez5, H. Keuchel, L. Kirchrath, K. Kleine, Peter Kötter8, Pierre Legrain1, S. Liebl, Edward J. Louis15, A. Maia e Silva7, Christian Marck, A.-L. Monnier1, D. Mostl, Sylke Müller, B. Obermaier, Stephen G. Oliver10, C. Pallier6, Steve Pascolo11, Steve Pascolo1, Friedhelm Pfeiffer, Peter Philippsen, Rudi J. Planta16, Fritz M. Pohl17, Thomas Pohl, Regina Pohlmann, Daniel Portetelle, Bénédicte Purnelle12, V. Puzos6, M. Ramezani Rad, S. W. Rasmussen18, Miguel Remacha5, José L. Revuelta4, Guy-Franck Richard1, Martin Rieger, Claudina Rodrigues-Pousada7, Matthias Rose8, Thomas Rupp, Maria A. Santos4, Christian Schwager, Christoph Wilhelm Sensen, J. Skala19, J. Skala12, Helena Soares7, Frédéric Sor, J. Stegemann, Hervé Tettelin12, Alain R. Thierry1, M. Tzermia2, L. A. Urrestarazu3, L Van Dyck12, J. C. van Vliet-Reedijk16, Michèle Valens6, M. Vandenbo, C. Vilela7, Stephan Vissers3, D. von Wettstein18, H. Voss, Stefan Wiemann, G. Xu, Jürgen Zimmermann, M. Haasemann6, I. Becker, Hans-Werner Mewes 
02 Jun 1994-Nature
TL;DR: The complete DNA sequence of the yeast Saccharomyces cerevisiae chromosome XI has been determined, and the 666,448-base-pair sequence has revealed general chromosome patterns.
Abstract: The complete DNA sequence of the yeast Saccharomyces cerevisiae chromosome XI has been determined. In addition to a compact arrangement of potential protein coding sequences, the 666,448-base-pair sequence has revealed general chromosome patterns; in particular, alternating regional variations in average base composition correlate with variations in local gene density along the chromosome. Significant discrepancies with the previously published genetic map demonstrate the need for using independent physical mapping criteria.

383 citations

Journal ArticleDOI
TL;DR: The sequence of the 26S rRNA of the yeast Saccharomyces carlsbergensis is presented as inferred from the gene sequence; the molecule is 3393 nucleotides long and consists of 48% G+C; 30 of the 43 methyl groups can be located in the sequence.
Abstract: We present the sequence of the 26S rRNA of the yeast Saccharomyces carlsbergensis as inferred from the gene sequence. The molecule is 3393 nucleotides long and consists of 48% G+C; 30 of the 43 methyl groups can be located in the sequence. Starting from the recently proposed structure of E. coli 23S rRNA (see ref. 25) we constructed a secondary structure model for yeast 26S rRNA. This structure is composed of 7 domains closed by long-range base pairings as n the bacterial counterpart. Most domains show considerable conservation of the overall structure; unpaired regions show extended sequence homology and the base-paired regions contain many compensating base pair changes. The extra length of the yeast molecule is due to a number of insertions in most of the domains, particularly in domain II. Domain VI, which is extremely conserved, is probably part of the ribosomal A site. alpha-Sarcin, which apparently inhibits the EF-1 dependent binding of aminoacyl-tRNA, causes a cleavage between position 3025 and 3026 in a conserved loop structure, just outside domain VI. Nearly all of the located methyl groups, like in E. coli, are present in domain II, V and VI and clustered to a certain extent mainly in regions with a strongly conserved primary structure. The only three methyl groups of 26S rRNA which are introduced relatively late during the processing are found in single stranded loops in domain VI very close to positions which have been shown in E. coli 23S rRNA to be at the interface of the ribosome.

252 citations

Journal ArticleDOI
30 Mar 1998-Yeast
TL;DR: Screening of the complete genome sequence from the yeast Saccharomyces cerevisiae has enabled us to compile a complete list of the genes encoding cytoplasmic ribosomal proteins in this organism.
Abstract: Screening of the complete genome sequence from the yeast Saccharomyces cerevisiae has enabled us to compile a complete list of the genes encoding cytoplasmic ribosomal proteins in this organism. Putative ribosomal protein genes were selected primarily on the basis of the sequence similarity of their products with ribosomal proteins from other eukaryotic organisms, in particular the rat. These genes were subsequently screened for typical yeast rp-gene characteristics, viz. (1) a high codon adaptation index; (2) their promoter structure and (3) their responses to changes in growth conditions. The yeast genome appears to carry 78 different genes, of which 59 are duplicated, encoding 32 different small-subunit and 46 large-subunit proteins. A new nomenclature for these ribosomal proteins is proposed. © 1998 John Wiley & Sons, Ltd.

227 citations

Journal ArticleDOI
TL;DR: In this paper, an extended 5'-flanking region of the HSP12 gene was cloned in order to identify cis-acting elements involved in regulation of this highly expressed stress gene, and it was shown that five repeats of the stress-responsive CCCCT motif (STRE) are essential to confer wild-type induced levels on a reporter gene upon osmostress, heat shock, and entry into stationary phase.
Abstract: The HSP12 gene encodes one of the two major small heat shock proteins of Saccharomyces cerevisiae. Hsp12 accumulates massively in yeast cells exposed to heat shock, osmostress, oxidative stress, and high concentrations of alcohol as well as in early-stationary-phase cells. We have cloned an extended 5'-flanking region of the HSP12 gene in order to identify cis-acting elements involved in regulation of this highly expressed stress gene. A detailed analysis of the HSP12 promoter region revealed that five repeats of the stress-responsive CCCCT motif (stress-responsive element [STRE]) are essential to confer wild-type induced levels on a reporter gene upon osmostress, heat shock, and entry into stationary phase. Disruption of the HOG1 and PBS2 genes leads to a dramatic decrease of the HSP12 inducibility in osmostressed cells, whereas overproduction of Hog1 produces a fivefold increase in wild-type induced levels upon a shift to a high salt concentration. On the other hand, mutations resulting in high protein kinase A (PKA) activity reduce or abolish the accumulation of the HSP12 mRNA in stressed cells. Conversely, mutants containing defective PKA catalytic subunits exhibit high basal levels of HSP12 mRNA. Taken together, these results suggest that HSP12 is a target of the high-osmolarity glycerol (HOG) response pathway under negative control of the Ras-PKA pathway. Furthermore, they confirm earlier observations that STRE-like sequences are responsive to a broad range of stresses and that the HOG and Ras-PKA pathways have antagonistic effects upon CCCCT-driven transcription.

208 citations


Cited by
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Journal ArticleDOI
Eric S. Lander1, Lauren Linton1, Bruce W. Birren1, Chad Nusbaum1  +245 moreInstitutions (29)
15 Feb 2001-Nature
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

22,269 citations

Journal ArticleDOI
TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
Abstract: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is de- scribed that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be inter- preted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly charac- terized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.

16,371 citations

Journal ArticleDOI
24 Oct 1997-Science
TL;DR: DNA microarrays containing virtually every gene of Saccharomyces cerevisiae were used to carry out a comprehensive investigation of the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration, and the expression patterns of many previously uncharacterized genes provided clues to their possible functions.
Abstract: DNA microarrays containing virtually every gene of Saccharomyces cerevisiae were used to carry out a comprehensive investigation of the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration. The expression profiles observed for genes with known metabolic functions pointed to features of the metabolic reprogramming that occur during the diauxic shift, and the expression patterns of many previously uncharacterized genes provided clues to their possible functions. The same DNA microarrays were also used to identify genes whose expression was affected by deletion of the transcriptional co-repressor TUP1 or overexpression of the transcriptional activator YAP1. These results demonstrate the feasibility and utility of this approach to genomewide exploration of gene expression patterns.

4,792 citations

Journal ArticleDOI
25 Oct 1996-Science
TL;DR: The genome of the yeast Saccharomyces cerevisiae has been completely sequenced through a worldwide collaboration and provides information about the higher order organization of yeast's 16 chromosomes and allows some insight into their evolutionary history.
Abstract: The genome of the yeast Saccharomyces cerevisiae has been completely sequenced through a worldwide collaboration. The sequence of 12,068 kilobases defines 5885 potential protein-encoding genes, approximately 140 genes specifying ribosomal RNA, 40 genes for small nuclear RNA molecules, and 275 transfer RNA genes. In addition, the complete sequence provides information about the higher order organization of yeast's 16 chromosomes and allows some insight into their evolutionary history. The genome shows a considerable amount of apparent genetic redundancy, and one of the major problems to be tackled during the next stage of the yeast genome project is to elucidate the biological functions of all of these genes.

4,254 citations

Journal ArticleDOI
30 Jan 1998-Yeast
TL;DR: A set of yeast strains based on Saccharomyces cerevisiae S288C in which commonly used selectable marker genes are deleted by design based on the yeast genome sequence has been constructed and analysed and will reduce plasmid integration events which can interfere with a wide variety of molecular genetic applications.
Abstract: A set of yeast strains based on Saccharomyces cerevisiae S288C in which commonly used selectable marker genes are deleted by design based on the yeast genome sequence has been constructed and analysed. These strains minimize or eliminate the homology to the corresponding marker genes in commonly used vectors without significantly affecting adjacent gene expression. Because the homology between commonly used auxotrophic marker gene segments and genomic sequences has been largely or completely abolished, these strains will also reduce plasmid integration events which can interfere with a wide variety of molecular genetic applications. We also report the construction of new members of the pRS400 series of vectors, containing the kanMX, ADE2 and MET15 genes.

3,448 citations