Research Topics
| S G OliverSummaryAffiliation: University of Manchester Institute of Science and Technology Country: UK Publications
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Detail Information
Publications
From gene to screen with yeastS G Oliver
Department of Biochemistry and Applied Molecular Biology, University of Manchester Institute of Science and Technology UMIST, UK
Curr Opin Genet Dev 7:405-9. 1997....
Systematic functional analysis of the yeast genomeS G Oliver
Department of Biomolecular Sciences, UMIST, Manchester, UK
Trends Biotechnol 16:373-8. 1998..Systematic and comprehensive approaches to the elucidation of yeast gene function are discussed and the prospects for the functional genomics of eukaryotic organisms evaluated...
Exploring redundancy in the yeast genome: an improved strategy for use of the cre-loxP systemD Delneri
School of Biological Sciences, University of Manchester, 2 205 Stopford Building, Oxford Road, M13 9PT, Manchester, UK
Gene 252:127-35. 2000..Our multiple gene deletion system significantly accelerates and facilitates the functional analysis process and is particularly useful for studying gene families in either laboratory or industrial yeast strains...
Enhancement of Ty transposition at the ADH4 and ADH2 loci in meiotic yeast cellsG Ribeiro dos Santos
Department of Biochemistry and Applied Molecular Biology, UMIST, Manchester, UK
Mol Gen Genet 254:555-61. 1997..These data provide a further example of the success of Ty elements in maximising their own chances of spread and survival while minimising the risks to the host yeast population...
Chromatographic separations as a prelude to two-dimensional electrophoresis in proteomics analysisA Butt
Department of Biomolecular Sciences, UMIST, School of Biological Sciences, University of Manchester, Manchester, UK
Proteomics 1:42-53. 2001..The marked anomalies between predicted p/and column elution position contrasted with the almost perfect correlation with migration distance on isoelectric focusing (IEF) and were explored further for basic proteins...
Bioinformatic assessment of mass spectrometric chemical derivatisation techniques for proteome database searchingK S Sidhu
Department of Biomolecular Sciences, UMIST, Manchester, UK
Proteomics 1:1368-77. 2001....
Improved matrix-assisted laser desorption/ionization mass spectrometric analysis of tryptic hydrolysates of proteins following guanidination of lysine-containing peptidesF L Brancia
Department of Biomolecular Sciences and UMIST, Manchester, UK
Rapid Commun Mass Spectrom 14:2070-3. 2000..Analysis of the underivatized tryptic digest of the yeast protein, enolase, revealed peptides representing 20% of the protein; the corresponding figure after derivatization was 46%...
Disruption of seven hypothetical aryl alcohol dehydrogenase genes from Saccharomyces cerevisiae and construction of a multiple knock-out strainD Delneri
Department of Biomolecular Sciences, UMIST, PO Box 88, Sackville Street, Manchester M60 1QD, U K
Yeast 15:1681-9. 1999..Compared to the wild-type strain, the septuple deletant showed an increased resistance to the anisaldehyde, but there is a possibility that the nutritional markers used for gene replacement are causing this effect...
A combination of chemical derivatisation and improved bioinformatic tools optimises protein identification for proteomicsF L Brancia
Michael Barber Centre for Mass Spectrometry, UMIST, Manchester, UK
Electrophoresis 22:552-9. 2001..With this combination of novel chemistry and bioinformatics, it should be possible to identify unambiguously any yeast protein spot or band from either two-dimensional or one-dimensional electropheretograms...
DNA sequence analysis of a 35 kb segment from Saccharomyces cerevisiae chromosome VII reveals 19 open reading frames including RAD54, ACE1/CUP2, PMR1, RCK1, AMS1 and CAL1/CDC43C M James
Department of Biochemistry and Applied Molecular Biology, UMIST, Manchester, U K
Yeast 11:1413-9. 1995..cerevisiae SNF2, STH1 and NPS1 genes and to the human ERCC1 gene. A 93 bp region shows similarity to yeast EST sequenced by Burns et al. (1994). None of the remaining ORFs has similarity to any sequence within the databases screened...
