Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Manda E. Gent"'
Autor:
Rolf A. Prade, Stephen G. Oliver, Hugh H. Russell, Andrew H. Sims, Manda E. Gent, David C. Hoyle, Geoffrey Turner, Nigel Dunn-Coleman, Geoffrey D. Robson
Publikováno v:
Fungal Genetics and Biology. 41:199-212
The use of microarrays in the analysis of gene expression is becoming widespread for many organisms, including yeast. However, although the genomes of a number of filamentous fungi have been fully or partially sequenced, microarray analysis is still
Autor:
Mark Sefton, Dennis J. Verbart, Andrew Hayes, Yvon J. van Delft, Jose L. Cadahia, Rudi J. Planta, Stephen G. Oliver, Alistair J. P. Brown, Hélène Tournu, Martine De Jonge, Johan M. Thevelein, M. Esperanza Cerdán, L J Lombardía, Manda E. Gent, Carin P. A. M. Kolen, Joris Winderickx
Publikováno v:
Yeast. 15:329-350
The European Functional Analysis Network (EUROFAN) is systematically analysing the function of novel Saccharomyces cerevisiae genes revealed by genome sequencing. As part of this effort our consortium has performed a detailed transcript analysis for
Publikováno v:
Yeast. 10:257-264
We present the DNA sequence analysis of a region covering a 3·5 kb EcoRI fragment from the left arm of chromosome XI from Saccharomyces cerevisiae. This region contains five open reading frames (ORFs) which code for proteins of greater than 100 amin
Publikováno v:
Yeast. 10:247-255
We report the DNA sequence analysis of a region on the left arm of chromosome XI of Saccharomyces cerevisiae extending over 10 kb. The region contains five open reading frames (ORFs) of greater than 100 amino acids which do not show significant overl
Autor:
Karin Lanthaler, Manda E. Gent
Publikováno v:
Mycology ISBN: 9780849390807
The Aspergilli: Genomics, Medical Aspects, Biotechnology, and Research Methods
The Aspergilli: Genomics, Medical Aspects, Biotechnology, and Research Methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ab929e8ef4ca321c7064370f1a62d2a
https://doi.org/10.1201/9781420008517.ch29
https://doi.org/10.1201/9781420008517.ch29
Autor:
Stephen G. Oliver, Kuangyu Yen, Paul Gitsham, Nianshu Zhang, Zorana Vujovic, Jill A. Wishart, J. Ross Miller, Manda E. Gent, Michael J. Osborn
Publikováno v:
Yeast (Chichester, England). 23(4)
We have generated a collection of yeast strains, each of which has an essential yeast gene under the control of the tetracycline-responsive, tetO, promoter. Screens using first-generation promoter-swap strains uncovered the non-specific responsivenes
Autor:
Stephen G. Oliver, Nigel Dunn-Coleman, Karin Lanthaler, Manda E. Gent, Andrew H. Sims, Geoffrey D. Robson
Publikováno v:
Applied and environmental microbiology. 71(5)
Filamentous fungi have a high capacity for producing large amounts of secreted proteins, a property that has been exploited for commercial production of recombinant proteins. However, the secretory pathway, which is key to the production of extracell
Publikováno v:
Mycological research. 108(Pt 8)
Whole genome sequencing of several filamentous ascomycetes is complete or in progress; these species, such as Aspergillus nidulans, are relatives of Saccharomyces cerevisiae. However, their genomes are much larger and their gene structure more comple
Autor:
Lubomira Stateva, Stephen G. Oliver, David C. Hoyle, Laura C. Edwards-Ingram, Andrew Hayes, Manda E. Gent
Publikováno v:
Genome research. 14(6)
The science of taxonomy is constantly improving as new techniques are developed. Current practice is to construct phylogenetic trees based on the analysis of the DNA sequence of single genes, or parts of single genes. However, this approach has recen
Autor:
Martine De Jonge, Stephen G. Oliver, Joris Winderickx, Alistair J. P. Brown, M. Esperanza Cerdán, David C. J. Gardner, Yvon J. van Delft, Mark Sefton, Abdul Munir Abdul Murad, Philip R. Butler, Dennis J. Verbart, Manda E. Gent, Hélène Tournu, Andrew Hayes, David A. Bailey, Rachel A. Oliver, Fajar Restuhadi, Rudi J. Planta, Carin P. A. M. Kolen, Johan M. Thevelein, L J Lombardía, Jose L. Cadahia
The expression of 1008 open reading frames (ORFs) from the yeast Saccharomyces cerevisiae has been examined under eight different physiological conditions, using classical northern analysis. These northern data have been compared with publicly availa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de607ae637240399f286d641abc4aade
https://europepmc.org/articles/PMC150198/
https://europepmc.org/articles/PMC150198/