Literature DB >> 9285562

SAGE transcript profiles for p53-dependent growth regulation.

S L Madden1, E A Galella, J Zhu, A H Bertelsen, G A Beaudry.   

Abstract

Serial analysis of gene expression (SAGE) allows for a quantitative, representative, and comprehensive profile of gene expression. We have utilized SAGE technology to contrast the differential gene expression profile in rat embryo fibroblast cells producing temperature-sensitive p53 tumor suppressor protein at permissive or non-permissive temperatures. Analysis of approximately 15,000 genes revealed that the expression of 14 genes (P < 0.001, > or = 0.03% abundance) was dependent on functional p53 protein, whereas the expression of three genes was significantly higher in cells producing non-functional p53 protein. Those genes whose expression was increased by functional p53 include RAS, U6 snRNA, cyclin G, EGR-1, and several novel genes. The expression of actin, tubulin, and HSP70 genes was elevated at the non-permissive temperature for p53 function. Interestingly, the expression of several genes was dependent on a non-temperature-sensitive mutant p53 suggesting altered transcription profiles dependent on specific p53 mutant proteins. These results demonstrate the utility of SAGE for rapidly and reproducibly evaluating global transcriptional responses within different cell populations.

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Year:  1997        PMID: 9285562     DOI: 10.1038/sj.onc.1201091

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  30 in total

Review 1.  The complexity of radiation stress responses: analysis by informatics and functional genomics approaches.

Authors:  A J Fornace; S A Amundson; M Bittner; T G Myers; P Meltzer; J N Weinsten; J Trent
Journal:  Gene Expr       Date:  1999

Review 2.  Regulation of p53 and its targets during involution of the mammary gland.

Authors:  D J Jerry; J Pinkas; C Kuperwasser; E S Dickinson; S P Naber
Journal:  J Mammary Gland Biol Neoplasia       Date:  1999-04       Impact factor: 2.673

3.  Generation of longer cDNA fragments from serial analysis of gene expression tags for gene identification.

Authors:  J J Chen; J D Rowley; S M Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-04       Impact factor: 11.205

4.  A quantitative evaluation of SAGE.

Authors:  J Stollberg; J Urschitz; Z Urban; C D Boyd
Journal:  Genome Res       Date:  2000-08       Impact factor: 9.043

5.  Inventory of high-abundance mRNAs in skeletal muscle of normal men.

Authors:  S Welle; K Bhatt; C A Thornton
Journal:  Genome Res       Date:  1999-05       Impact factor: 9.043

6.  Enhanced concatemer cloning-a modification to the SAGE (Serial Analysis of Gene Expression) technique.

Authors:  J Powell
Journal:  Nucleic Acids Res       Date:  1998-07-15       Impact factor: 16.971

7.  A method for analyzing the qualitative and quantitative aspects of gene expression: a transcriptional profile revealed for HeLa cells.

Authors:  A Ryo; N Kondoh; T Wakatsuki; A Hada; N Yamamoto; M Yamamoto
Journal:  Nucleic Acids Res       Date:  1998-06-01       Impact factor: 16.971

8.  SAGE analysis of transcriptome responses in Arabidopsis roots exposed to 2,4,6-trinitrotoluene.

Authors:  Drew R Ekman; W Walter Lorenz; Alan E Przybyla; N Lee Wolfe; Jeffrey F D Dean
Journal:  Plant Physiol       Date:  2003-10-09       Impact factor: 8.340

9.  Serial analysis of gene expression reveals differential expression between endometriosis and normal endometrium. Possible roles for AXL and SHC1 in the pathogenesis of endometriosis.

Authors:  Hiroshi Honda; Fermin F Barrueto; Jean Gogusev; Dwight D Im; Patrice J Morin
Journal:  Reprod Biol Endocrinol       Date:  2008-12-02       Impact factor: 5.211

Review 10.  Global expression profiling in epileptogenesis: does it add to the confusion?

Authors:  Yi Yuen Wang; Paul Smith; Michael Murphy; Mark Cook
Journal:  Brain Pathol       Date:  2009-02-24       Impact factor: 6.508

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