Literature DB >> 11353091

Gene expression profiling using a novel method: amplified differential gene expression (ADGE).

Z J Chen1, H Shen, K D Tew.   

Abstract

Amplified differential gene expression (ADGE) is a novel technique, designed to profile gene expression of the whole transcriptome or to compare expression of a set of genes between two samples. ADGE employs hybridization to quadratically amplify the ratio of an expressed gene between control and tester samples before displaying. The subtle structures of adapters and primers are designed for displaying the amplified ratio of an expressed gene between two samples. Four selective nucleotides at the 3' end of primers are used to increase PCR efficiency for targeted molecules and to improve detection of PCR products. Double PCR with the same pair of primers expands the detection range, especially for genes of low abundance. Integration of these steps makes ADGE sensitive and accurate. Application to drug resistant human tumor cell lines showed that ADGE accurately profiled expression levels for induced, repressed or unchanged genes. The qualitative expression patterns for ADGE were verified with RT-PCR.

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Year:  2001        PMID: 11353091      PMCID: PMC55467          DOI: 10.1093/nar/29.10.e46

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


  13 in total

1.  A novel strategy for identifying differential gene expression: An improved method of differential display analysis.

Authors:  J Kohroki; M Tsuchiya; S Fujita; T Nakanishi; N Itoh; K Tanaka
Journal:  Biochem Biophys Res Commun       Date:  1999-08-27       Impact factor: 3.575

2.  Tandem arrayed ligation of expressed sequence tags (TALEST): a new method for generating global gene expression profiles.

Authors:  D G Spinella; A K Bernardino; A C Redding; P Koutz; Y Wei; E K Pratt; K K Myers; G Chappell; S Gerken; S J McConnell
Journal:  Nucleic Acids Res       Date:  1999-09-15       Impact factor: 16.971

Review 3.  Expression profiling in cancer using cDNA microarrays.

Authors:  J Khan; L H Saal; M L Bittner; Y Chen; J M Trent; P S Meltzer
Journal:  Electrophoresis       Date:  1999-02       Impact factor: 3.535

4.  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

5.  Ordered differential display: a simple method for systematic comparison of gene expression profiles.

Authors:  M Matz; N Usman; D Shagin; E Bogdanova; S Lukyanov
Journal:  Nucleic Acids Res       Date:  1997-06-15       Impact factor: 16.971

6.  Characterization of the yeast transcriptome.

Authors:  V E Velculescu; L Zhang; W Zhou; J Vogelstein; M A Basrai; D E Bassett; P Hieter; B Vogelstein; K W Kinzler
Journal:  Cell       Date:  1997-01-24       Impact factor: 41.582

7.  Expression analysis with oligonucleotide microarrays reveals that MYC regulates genes involved in growth, cell cycle, signaling, and adhesion.

Authors:  H A Coller; C Grandori; P Tamayo; T Colbert; E S Lander; R N Eisenman; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-28       Impact factor: 11.205

8.  Cloning the differences between two complex genomes.

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

9.  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

10.  Increased expression of DNA-dependent protein kinase confers resistance to adriamycin.

Authors:  H Shen; M Schultz; G D Kruh; K D Tew
Journal:  Biochim Biophys Acta       Date:  1998-07-23
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  2 in total

1.  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

2.  Sensitivity and fidelity of DNA microarray improved with integration of Amplified Differential Gene Expression (ADGE).

Authors:  Zhijian J Chen; Laurent Gaté; Warren Davis; Kristina E Ile; Kenneth D Tew
Journal:  BMC Genomics       Date:  2003-07-14       Impact factor: 3.969

  2 in total

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