Literature DB >> 11786401

Single nucleotide polymorphism array analysis of flow-sorted epithelial cells from frozen versus fixed tissues for whole genome analysis of allelic loss in breast cancer.

Elizabeth L Schubert1, Li Hsu, Laura A Cousens, Jeri Glogovac, Steve Self, Brian J Reid, Peter S Rabinovitch, Peggy L Porter.   

Abstract

Analysis of allelic loss in archival tumor specimens is constrained by quality and quantity of tissue and by technical limitations on the number of chromosomal sites that can be efficiently evaluated in conventional analyses using polymorphic microsatellite markers. Newly developed array-based assays have the potential to yield genome-wide data from small amounts of tissue but have not been validated for use with routinely processed specimens. We used the Affymetrix HuSNP assay, composed of 1494 single nucleotide polymorphism sites, to compare allelic loss results obtained from both formalin-fixed and frozen breast tissue samples. Tumor cells were separated from normal epithelia and nonepithelial cells by dissection and bivariate cytokeratin/DNA flow sorting; normal breast cells from the same patient served as constitutive normal. Allele results from the HuSNP array averaged 96% reproducibility between duplicates and were concordant between the fixed and frozen normal samples. We also analyzed DNA from the same samples after whole-genome amplification (primer extension preamplification). Although overall signal intensities were lower, the genotype data from the primer extension preamplification material was concordant with genomic DNA data from the same samples. Results from genomic normal tissue DNA averaged informative single nucleotide polymorphism at 379 (25%) loci genome-wide. Although data points were clustered and some segments of chromosomes were not informative, our data indicated that the Affymetrix HuSNP assay could provide an efficient and valid genome-wide analysis of allelic imbalance in routinely processed and whole genome-amplified pathology specimens.

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Year:  2002        PMID: 11786401      PMCID: PMC1867151          DOI: 10.1016/S0002-9440(10)64351-9

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  20 in total

1.  A genome-wide map showing common regions of loss of heterozygosity/allelic imbalance in breast cancer.

Authors:  R J Osborne; M G Hamshere
Journal:  Cancer Res       Date:  2000-07-15       Impact factor: 12.701

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3.  Effect of fixation on the amplification of nucleic acids from paraffin-embedded material by the polymerase chain reaction.

Authors:  J Ben-Ezra; D A Johnson; J Rossi; N Cook; A Wu
Journal:  J Histochem Cytochem       Date:  1991-03       Impact factor: 2.479

4.  PCR amplification from paraffin-embedded tissues: recommendations on fixatives for long-term storage and prospective studies.

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Journal:  PCR Methods Appl       Date:  1991-08

Review 5.  Analysis of intracellular proteins.

Authors:  K D Bauer; J W Jacobberger
Journal:  Methods Cell Biol       Date:  1994       Impact factor: 1.441

6.  Semiautomated quantitative detection of loss of heterozygosity in the tumor suppressor gene p53.

Authors:  M Hahn; S E Matzen; J Serth; A Pingoud
Journal:  Biotechniques       Date:  1995-06       Impact factor: 1.993

7.  Genotypic analysis of multiple loci in somatic cells by whole genome amplification.

Authors:  M T Barrett; B J Reid; G Joslyn
Journal:  Nucleic Acids Res       Date:  1995-09-11       Impact factor: 16.971

8.  Genome-wide detection of allelic imbalance using human SNPs and high-density DNA arrays.

Authors:  R Mei; P C Galipeau; C Prass; A Berno; G Ghandour; N Patil; R K Wolff; M S Chee; B J Reid; D J Lockhart
Journal:  Genome Res       Date:  2000-08       Impact factor: 9.043

Review 9.  Somatic genetic changes in human breast cancer.

Authors:  P Devilee; C J Cornelisse
Journal:  Biochim Biophys Acta       Date:  1994-12-30

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Authors:  H Fujii; C Marsh; P Cairns; D Sidransky; E Gabrielson
Journal:  Cancer Res       Date:  1996-04-01       Impact factor: 12.701

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  9 in total

1.  High-resolution analysis of DNA copy number using oligonucleotide microarrays.

Authors:  Graham R Bignell; Jing Huang; Joel Greshock; Stephen Watt; Adam Butler; Sofie West; Mira Grigorova; Keith W Jones; Wen Wei; Michael R Stratton; P Andrew Futreal; Barbara Weber; Michael H Shapero; Richard Wooster
Journal:  Genome Res       Date:  2004-02       Impact factor: 9.043

2.  Allelic imbalance analysis by high-density single-nucleotide polymorphic allele (SNP) array with whole genome amplified DNA.

Authors:  Kwong-Kwok Wong; Yvonne T M Tsang; Jianhe Shen; Rita S Cheng; Yi-Mieng Chang; Tsz-Kwong Man; Ching C Lau
Journal:  Nucleic Acids Res       Date:  2004-05-17       Impact factor: 16.971

3.  Genetic aberrations in childhood acute lymphoblastic leukaemia: application of high-density single nucleotide polymorphism array.

Authors:  Sarina Sulong
Journal:  Malays J Med Sci       Date:  2010-07

4.  Phylogenetic fate mapping.

Authors:  Stephen J Salipante; Marshall S Horwitz
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-28       Impact factor: 11.205

5.  High-resolution identification of chromosomal abnormalities using oligonucleotide arrays containing 116,204 SNPs.

Authors:  Howard R Slater; Dione K Bailey; Hua Ren; Manqiu Cao; Katrina Bell; Steven Nasioulas; Robert Henke; K H Andy Choo; Giulia C Kennedy
Journal:  Am J Hum Genet       Date:  2005-09-16       Impact factor: 11.025

6.  The application of single nucleotide polymorphism microarrays in cancer research.

Authors:  Xueying Mao; Bryan D Young; Yong-Jie Lu
Journal:  Curr Genomics       Date:  2007-06       Impact factor: 2.236

7.  A tumor sorting protocol that enables enrichment of pancreatic adenocarcinoma cells and facilitation of genetic analyses.

Authors:  Zachary S Boyd; Rajiv Raja; Stephanie Johnson; David A Eberhard; Mark R Lackner
Journal:  J Mol Diagn       Date:  2009-05-21       Impact factor: 5.568

8.  Whole genome DNA copy number changes identified by high density oligonucleotide arrays.

Authors:  Jing Huang; Wen Wei; Jane Zhang; Guoying Liu; Graham R Bignell; Michael R Stratton; P Andrew Futreal; Richard Wooster; Keith W Jones; Michael H Shapero
Journal:  Hum Genomics       Date:  2004-05       Impact factor: 4.639

9.  Deep clonal profiling of formalin fixed paraffin embedded clinical samples.

Authors:  Tara Holley; Elizabeth Lenkiewicz; Lisa Evers; Waibhav Tembe; Christian Ruiz; Joel R Gsponer; Cyrill A Rentsch; Lukas Bubendorf; Mark Stapleton; Doug Amorese; Christophe Legendre; Heather E Cunliffe; Ann E McCullough; Barbara Pockaj; David Craig; John Carpten; Daniel Von Hoff; Christine Iacobuzio-Donahue; Michael T Barrett
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

  9 in total

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