Literature DB >> 9611255

Detection of differentially expressed genes in primary tumor tissues using representational differences analysis coupled to microarray hybridization.

S M Welford1, J Gregg, E Chen, D Garrison, P H Sorensen, C T Denny, S F Nelson.   

Abstract

The identification of differential gene expressionbetween cells is a frequent goal in modern biological research. Here we demonstrate the coupling of representational difference analysis (RDA) of cDNA with microarray analysis of the output for high throughput screening. Two primary Ewing's sarcoma tissue samples with different biological behavior in vivo were compared by RDA: one which was metastatic and progressed rapidly; the other localized and successfully treated. A modified RDA protocol that minimizes the necessary starting material was employed. After a reduced number of subtractive rounds, the output of RDA was shotgun cloned into a plasmid vector. Inserts from individual colonies from the subtracted library were amplified with vector-specific primers and arrayed at high density on glass slides. The arrays were then hybridized with differentially fluorescently labeled starting amplicons from the two tissues and fluorescent signals were measured at each DNA spot. We show that the relative amounts of fluorescent signal correlate well with the abundance of fragments in the RDA amplicon and in the starting mRNA. In our system, we analyzed 192 products and 173 (90%) were appropriately detected as being >2-fold differentially expressed. Fifty unique, differentially expressed clones were identified. Therefore, the use of RDA essentially provides an enriched library of differentially expressed genes, while analysis of this library with microarrays allows rapid and reproducible screening of thousands of DNA molecules simultaneously. The coupling of these two techniques in this system resulted in a large pool of differentially expressed genes.

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Year:  1998        PMID: 9611255      PMCID: PMC147657          DOI: 10.1093/nar/26.12.3059

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  20 in total

1.  Differential display of eukaryotic messenger RNA by means of the polymerase chain reaction.

Authors:  P Liang; A B Pardee
Journal:  Science       Date:  1992-08-14       Impact factor: 47.728

2.  A high throughput screening for rarely transcribed differentially expressed genes.

Authors:  O D von Stein; W G Thies; M Hofmann
Journal:  Nucleic Acids Res       Date:  1997-07-01       Impact factor: 16.971

3.  Identification of genes with specific expression in pancreatic cancer by cDNA representational difference analysis.

Authors:  T M Gress; C Wallrapp; M Frohme; F Müller-Pillasch; U Lacher; H Friess; M Büchler; G Adler; J D Hoheisel
Journal:  Genes Chromosomes Cancer       Date:  1997-06       Impact factor: 5.006

4.  Cloning the differences between two complex genomes.

Authors:  N Lisitsyn; N Lisitsyn; M Wigler
Journal:  Science       Date:  1993-02-12       Impact factor: 47.728

5.  Identifying differences in mRNA expression by representational difference analysis of cDNA.

Authors:  M Hubank; D G Schatz
Journal:  Nucleic Acids Res       Date:  1994-12-25       Impact factor: 16.971

6.  Gene expression profiles in normal and cancer cells.

Authors:  L Zhang; W Zhou; V E Velculescu; S E Kern; R H Hruban; S R Hamilton; B Vogelstein; K W Kinzler
Journal:  Science       Date:  1997-05-23       Impact factor: 47.728

7.  Fig1, an interleukin 4-induced mouse B cell gene isolated by cDNA representational difference analysis.

Authors:  C C Chu; W E Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1997-03-18       Impact factor: 11.205

8.  Identification of pancreatic beta cell-related genes by representational difference analysis.

Authors:  H Niwa; L C Harrison; H J DeAizpurua; D S Cram
Journal:  Endocrinology       Date:  1997-04       Impact factor: 4.736

9.  Expression monitoring by hybridization to high-density oligonucleotide arrays.

Authors:  D J Lockhart; H Dong; M C Byrne; M T Follettie; M V Gallo; M S Chee; M Mittmann; C Wang; M Kobayashi; H Horton; E L Brown
Journal:  Nat Biotechnol       Date:  1996-12       Impact factor: 54.908

10.  Low nucleotide diversity in man.

Authors:  W H Li; L A Sadler
Journal:  Genetics       Date:  1991-10       Impact factor: 4.562

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  24 in total

Review 1.  Recent advances in molecular biological techniques and their relevance to pulmonary research.

Authors:  B W Robinson; D J Erle; D A Jones; S Shapiro; W J Metzger; S M Albelda; W C Parks; A Boylan
Journal:  Thorax       Date:  2000-04       Impact factor: 9.139

2.  PCR candidate region mismatch scanning: adaptation to quantitative, high-throughput genotyping.

Authors:  M Beaulieu; G P Larson; L Geller; S D Flanagan; T G Krontiris
Journal:  Nucleic Acids Res       Date:  2001-03-01       Impact factor: 16.971

Review 3.  Microarrays under the microscope.

Authors:  S E Wildsmith; F J Elcock
Journal:  Mol Pathol       Date:  2001-02

4.  A critical evaluation of differential display as a tool to identify genes involved in legume nodulation: looking back and looking forward.

Authors:  S Lievens; S Goormachtig; M Holsters
Journal:  Nucleic Acids Res       Date:  2001-09-01       Impact factor: 16.971

Review 5.  Differential screening technology in the service of ovarian biology.

Authors:  Adriano B Tavares; Eli Y Adashi
Journal:  Rev Endocr Metab Disord       Date:  2002-01       Impact factor: 6.514

6.  Pharmacogenomics of the cystic fibrosis transmembrane conductance regulator (CFTR) and the cystic fibrosis drug CPX using genome microarray analysis.

Authors:  M Srivastava; O Eidelman; H B Pollard
Journal:  Mol Med       Date:  1999-11       Impact factor: 6.354

7.  PDGF-C is an EWS/FLI induced transforming growth factor in Ewing family tumors.

Authors:  J P Zwerner; W A May
Journal:  Oncogene       Date:  2001-02-01       Impact factor: 9.867

8.  Manufacturing DNA microarrays of high spot homogeneity and reduced background signal.

Authors:  F Diehl; S Grahlmann; M Beier; J D Hoheisel
Journal:  Nucleic Acids Res       Date:  2001-04-01       Impact factor: 16.971

9.  Gene expression pattern in human monocytes as a surrogate marker for systemic inflammatory response syndrome (SIRS).

Authors:  G Wiegand; K Selleng; M Gründling; R S Jack
Journal:  Mol Med       Date:  1999-03       Impact factor: 6.354

10.  Manufacturing DNA microarrays from unpurified PCR products.

Authors:  Frank Diehl; Boris Beckmann; Nadine Kellner; Nicole C Hauser; Susanne Diehl; Jörg D Hoheisel
Journal:  Nucleic Acids Res       Date:  2002-08-15       Impact factor: 16.971

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