Literature DB >> 8570611

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

Y Prashar1, S M Weissman.   

Abstract

We have developed an approach to study changes in gene expression by selective PCR amplification and display of 3' end restriction fragments of double-stranded cDNAs. This method produces highly consistent and reproducible patterns, can detect almost all mRNAs in a sample, and can resolve hidden differences such as bands that differ in their sequence but comigrate on a gel. Bands corresponding to known cDNAs move to predictable positions on the gel, making this a powerful approach to correlate gel patterns with cDNA data bases. Applying this method, we have examined differences in gene expression patterns during T-cell activation. Of a total of 700 bands that were evaluated in this study, as many as 3-4% represented mRNAs that are upregulated, while approximately 2% were down-regulated within 4 hr of activation of Jurkat T cells. These and other results suggest that this approach is suitable for the systematic, expeditious, and nearly exhaustive elucidation of subtle changes in the patterns of gene expression in cells with altered physiologic states.

Mesh:

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Year:  1996        PMID: 8570611      PMCID: PMC40108          DOI: 10.1073/pnas.93.2.659

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


  24 in total

1.  Selective enrichment of specific DNA, cDNA and RNA sequences using biotinylated probes, avidin and copper-chelate agarose.

Authors:  A A Welcher; A R Torres; D C Ward
Journal:  Nucleic Acids Res       Date:  1986-12-22       Impact factor: 16.971

Review 2.  Immediate-early genes induced by antigen receptor stimulation.

Authors:  K Kelly; U Siebenlist
Journal:  Curr Opin Immunol       Date:  1995-06       Impact factor: 7.486

Review 3.  Transmission of signals from the T lymphocyte antigen receptor to the genes responsible for cell proliferation and immune function: the missing link.

Authors:  K S Ullman; J P Northrop; C L Verweij; G R Crabtree
Journal:  Annu Rev Immunol       Date:  1990       Impact factor: 28.527

4.  Genes specifically expressed at growth arrest of mammalian cells.

Authors:  C Schneider; R M King; L Philipson
Journal:  Cell       Date:  1988-09-09       Impact factor: 41.582

5.  Structure of a cytotoxic T-lymphocyte-specific gene shows a strong homology to fibrinogen beta and gamma chains.

Authors:  T Koyama; L R Hall; W G Haser; S Tonegawa; H Saito
Journal:  Proc Natl Acad Sci U S A       Date:  1987-03       Impact factor: 11.205

6.  Isolation of cDNA clones encoding T cell-specific membrane-associated proteins.

Authors:  S M Hedrick; D I Cohen; E A Nielsen; M M Davis
Journal:  Nature       Date:  1984 Mar 8-14       Impact factor: 49.962

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.  Human T-cell growth factor: partial amino acid sequence, cDNA cloning, and organization and expression in normal and leukemic cells.

Authors:  S C Clark; S K Arya; F Wong-Staal; M Matsumoto-Kobayashi; R M Kay; R J Kaufman; E L Brown; C Shoemaker; T Copeland; S Oroszlan
Journal:  Proc Natl Acad Sci U S A       Date:  1984-04       Impact factor: 11.205

9.  Down-regulation of lck mRNA by T cell activation involves transcriptional and post-transcriptional mechanisms.

Authors:  F Paillard; C Vaquero
Journal:  Nucleic Acids Res       Date:  1991-09-11       Impact factor: 16.971

10.  Differential regulation of transforming growth factor beta and interleukin 2 genes in human T cells: demonstration by usage of novel competitor DNA constructs in the quantitative polymerase chain reaction.

Authors:  B Li; P K Sehajpal; A Khanna; H Vlassara; A Cerami; K H Stenzel; M Suthanthiran
Journal:  J Exp Med       Date:  1991-11-01       Impact factor: 14.307

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  22 in total

1.  The coupling of differential display and AFLP approaches for nonradioactive mRNA fingerprinting.

Authors:  S Ivashuta; R Imai; K Uchiyama; M Gau
Journal:  Mol Biotechnol       Date:  1999-09       Impact factor: 2.695

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

Authors:  J G Sutcliffe; P E Foye; M G Erlander; B S Hilbush; L J Bodzin; J T Durham; K W Hasel
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-29       Impact factor: 11.205

3.  Identification of a polymorphic mucin-like gene expressed in the midgut of the mosquito, Aedes aegypti, using an integrated bulked segregant and differential display analysis.

Authors:  I Morlais; D W Severson
Journal:  Genetics       Date:  2001-07       Impact factor: 4.562

4.  Multiplex polymerase chain reaction (PCR) with color-tagged module-shuffling primers for comparing gene expression levels in various cells.

Authors:  C Uematsu; J Nishida; K Okano; F Miura; T Ito; Y Sakaki; H Kambara
Journal:  Nucleic Acids Res       Date:  2001-08-15       Impact factor: 16.971

5.  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

6.  Diversity arrays: a solid state technology for sequence information independent genotyping.

Authors:  D Jaccoud; K Peng; D Feinstein; A Kilian
Journal:  Nucleic Acids Res       Date:  2001-02-15       Impact factor: 16.971

7.  A strategy for genome-wide gene analysis: integrated procedure for gene identification.

Authors:  S M Wang; J D Rowley
Journal:  Proc Natl Acad Sci U S A       Date:  1998-09-29       Impact factor: 11.205

8.  Interaction and effect of annealing temperature on primers used in differential display RT-PCR.

Authors:  K Malhotra; L Foltz; W C Mahoney; P A Schueler
Journal:  Nucleic Acids Res       Date:  1998-02-01       Impact factor: 16.971

9.  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

10.  Absolute quantification of the budding yeast transcriptome by means of competitive PCR between genomic and complementary DNAs.

Authors:  Fumihito Miura; Noriko Kawaguchi; Mikio Yoshida; Chihiro Uematsu; Keiji Kito; Yoshiyuki Sakaki; Takashi Ito
Journal:  BMC Genomics       Date:  2008-11-29       Impact factor: 3.969

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