Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Yvonne Hey"'
Autor:
Kim M. Linton, Yvonne Hey, Sian Dibben, Crispin J. Miller, Anthony J. Freemont, John A. Radford, Stuart D. Pepper
Publikováno v:
BioTechniques, Vol 47, Iss 1, Pp 587-596 (2009)
Microarray gene expression profiling of formalin-fixed paraffin-embedded (FFPE) tissues is a new and evolving technique. This report compares transcript detection rates on Affymetrix U133 Plus 2.0 and Human Exon 1.0 ST GeneChips across several RNA ex
Externí odkaz:
https://doaj.org/article/5374879851e74326888e40c00a172b80
Publikováno v:
BioTechniques, Vol 42, Iss 2, Pp 181-185 (2007)
Exon arrays aim to provide comprehensive gene expression data at the level of individual exons, similar to that provided on a per-gene basis by existing expression arrays. This report describes the performance of Affymetrix GeneChip® Human Exon 1.0
Externí odkaz:
https://doaj.org/article/af2d07e979814c2c9b77339190d036f1
Publikováno v:
BioTechniques, Vol 36, Iss 3, Pp 498-506 (2004)
The desire to perform microarray experiments with small starting amounts of RNA has led to the development of a variety of protocols for preparing and amplifying mRNA. This has consequences not only for the standardization of experimental design, but
Externí odkaz:
https://doaj.org/article/b6cd35da2fe6423f971a8a09010e4273
Autor:
Crispin J. Miller, Heba S. Kassem, Stuart D. Pepper, Yvonne Hey, Timothy H. Ward, Geoffrey P. Margison
Publikováno v:
BioTechniques, Vol 35, Iss 4, Pp 812-814 (2003)
Externí odkaz:
https://doaj.org/article/f368dcefa27e42ee8771304b83bde0c7
Autor:
Sian Dibben, John Radford, Kim Linton, Stuart D Pepper, Yvonne Hey, Anthony J. Freemont, Crispin J. Miller
Publikováno v:
BioTechniques. 47:587-596
Microarray gene expression profiling of formalin-fixed paraffin-embedded (FFPE) tissues is a new and evolving technique. This report compares transcript detection rates on Affymetrix U133 Plus 2.0 and Human Exon 1.0 ST GeneChips across several RNA ex
Autor:
John Radford, Sian Dibben, J. Denton, Claire Wilson, Crispin J. Miller, Stuart D Pepper, Ric Swindell, Yvonne Hey, Maria Jeziorska, Kim Linton, Emma Saunders, Anthony J. Freemont
Publikováno v:
British Journal of Cancer
Robust protocols for microarray gene expression profiling of archival formalin-fixed paraffin-embedded tissue (FFPET) are needed to facilitate research when availability of fresh-frozen tissue is limited. Recent reports attest to the feasibility of t
Autor:
Suzanne Faulkner, Massimo Moro, Catriona Tate, Fiona H Blackhall, Stuart D Pepper, Luca Roz, Crispin J. Miller, Yaoyong Li, Dominic G. Rothwell, Louise Carter, Gillian Newton, Giulia Bertolini, Ged Brady, Mahmood Ayub, Caroline Dive, Yvonne Hey
Publikováno v:
BMC Genomics
Background Although profiling of RNA in single cells has broadened our understanding of development, cancer biology and mechanisms of disease dissemination, it requires the development of reliable and flexible methods. Here we demonstrate that the Ep
Autor:
David Jones, Jennifer Varley, Louise A James, Nigel Hoggard, Bill Brintnell, Erika L D Mitchell, Yvonne Hey, J Weissenbach
Publikováno v:
Genomics. 30:233-243
We have mapped a region of high loss of heterozygosity in breast cancer to a 2-cM interval between the loci D1S430 and D1S465 on chromosome 1p31.1. This region shows allelic imbalance in around 60% of breast tumors. As part of a strategy to clone the
Autor:
S. E. H. Russell, R J Atkinson, Mauro Santibanez-Koref, Yvonne Hey, John M Boyle, Gail McGown, Mary R Thorncroft, Vassilis Orphanos, I Hickey
Publikováno v:
British Journal of Cancer
Previous work has implicated putative tumour-suppressor (ts) genes at 6q27 and a broad region at 6p12-q23. Here we report the results of a coded, randomised study of allelic imbalance at 12 loci on 6q on 40 pairs of coded tumour-blood pairs from pati
Publikováno v:
British Journal of Cancer
To define regions of deletion of chromosome 6q in breast cancer, we scored 18 (CA)n microsatellites for allelic imbalance (AI) in 42 paired blood/tumour samples. Heterozygosity frequencies of the markers in the sample population ranged from 31% to 92