Literature DB >> 10681428

TOGA: an automated parsing technology for analyzing expression of nearly all genes.

J G Sutcliffe1, P E Foye, M G Erlander, B S Hilbush, L J Bodzin, J T Durham, K W Hasel.   

Abstract

We have developed an automated, high-throughput, systematic cDNA display method called TOGA, an acronym for total gene expression analysis. TOGA utilizes 8-nt sequences, comprised of a 4-nt restriction endonuclease cleavage site and adjacent 4-nt parsing sequences, and their distances from the 3' ends of mRNA molecules to give each mRNA species in an organism a single identity. The parsing sequences are used as parts of primer-binding sites in 256 PCR-based assays performed robotically on tissue extracts to determine simultaneously the presence and relative concentration of nearly every mRNA in the extracts, regardless of whether the mRNA has been discovered previously. Visualization of the electrophoretically separated fluorescent assay products from different extracts displayed via a Netscape browser-based graphical user interface allows the status of each mRNA to be compared among samples and its identity to be matched with sequences of known mRNAs compiled in databases.

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Year:  2000        PMID: 10681428      PMCID: PMC15739          DOI: 10.1073/pnas.040537997

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  9 in total

1.  Gene expression analysis by transcript profiling coupled to a gene database query.

Authors:  R A Shimkets; D G Lowe; J T Tai; P Sehl; H Jin; R Yang; P F Predki; B E Rothberg; M T Murtha; M E Roth; S G Shenoy; A Windemuth; J W Simpson; J F Simons; M P Daley; S A Gold; M P McKenna; K Hillan; G T Went; J M Rothberg
Journal:  Nat Biotechnol       Date:  1999-08       Impact factor: 54.908

2.  Arbitrarily primed PCR fingerprinting of RNA.

Authors:  J Welsh; K Chada; S S Dalal; R Cheng; D Ralph; M McClelland
Journal:  Nucleic Acids Res       Date:  1992-10-11       Impact factor: 16.971

3.  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

4.  Tissue-specific expression of mouse alpha-amylase genes.

Authors:  U Schibler; M Tosi; A C Pittet; L Fabiani; P K Wellauer
Journal:  J Mol Biol       Date:  1980-09-05       Impact factor: 5.469

5.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

6.  Analysis of differential gene expression by display of 3' end restriction fragments of cDNAs.

Authors:  Y Prashar; S M Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-23       Impact factor: 11.205

7.  A simple and very efficient method for generating cDNA libraries.

Authors:  U Gubler; B J Hoffman
Journal:  Gene       Date:  1983-11       Impact factor: 3.688

8.  Molecular cloning of gene sequences regulated by platelet-derived growth factor.

Authors:  B H Cochran; A C Reffel; C D Stiles
Journal:  Cell       Date:  1983-07       Impact factor: 41.582

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

  9 in total
  30 in total

1.  An evaluation of the performance of cDNA microarrays for detecting changes in global mRNA expression.

Authors:  H Yue; P S Eastman; B B Wang; J Minor; M H Doctolero; R L Nuttall; R Stack; J W Becker; J R Montgomery; M Vainer; R Johnston
Journal:  Nucleic Acids Res       Date:  2001-04-15       Impact factor: 16.971

2.  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 3.  Open-system approaches to gene expression in the CNS.

Authors:  J G Sutcliffe
Journal:  J Neurosci       Date:  2001-11-01       Impact factor: 6.167

4.  Analysis of circadian liver gene expression by ADDER, a highly sensitive method for the display of differentially expressed mRNAs.

Authors:  B Kornmann; N Preitner; D Rifat; F Fleury-Olela; U Schibler
Journal:  Nucleic Acids Res       Date:  2001-06-01       Impact factor: 16.971

5.  Expression profiling to understand actions of NMDA/glutamate receptor antagonists in rat brain.

Authors:  Petri Törönen; Marcus Storvik; Anni-Maija Lindén; Outi Kontkane; Markéta Marvanová; Merja Lakso; Eero Castrén; Garry Wong
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

Review 6.  Gene expression profiling with DNA microarrays: advancing our understanding of psychiatric disorders.

Authors:  Julie Pongrac; Frank A Middleton; David A Lewis; Pat Levitt; Károly Mirnics
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

7.  Quantitative cDNA-AFLP analysis for genome-wide expression studies.

Authors:  P Breyne; R Dreesen; B Cannoot; D Rombaut; K Vandepoele; S Rombauts; R Vanderhaeghen; D Inzé; M Zabeau
Journal:  Mol Genet Genomics       Date:  2003-03-18       Impact factor: 3.291

Review 8.  Gene expression profiling of plant responses to abiotic stress.

Authors:  Samuel P Hazen; Yajun Wu; Joel A Kreps
Journal:  Funct Integr Genomics       Date:  2003-06-25       Impact factor: 3.410

Review 9.  Gene expression in the pathophysiology of type 2 diabetes mellitus.

Authors:  Mary-Elizabeth Patti
Journal:  Curr Diab Rep       Date:  2004-06       Impact factor: 4.810

10.  Whole-genome expression profiling through fragment display and combinatorial gene identification.

Authors:  Ats Metsis; Ulf Andersson; Göran Baurén; Patrik Ernfors; Peter Lönnerberg; Andreas Montelius; Mats Oldin; Arno Pihlak; Sten Linnarsson
Journal:  Nucleic Acids Res       Date:  2004-09-08       Impact factor: 16.971

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