Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Molecular Phenotyping of Mouse Mutant Resources by RNA Expression Profiling

Beckers, J., Hoheisel, J., Mewes, W., Vingron, M., & Hrabé de Angelis, M. (2002). Molecular Phenotyping of Mouse Mutant Resources by RNA Expression Profiling. Current Genomics, 3(3), 121-129.

Item is

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Beckers, J., Autor
Hoheisel, J., Autor
Mewes, W., Autor
Vingron, M.1, Autor           
Hrabé de Angelis, M., Autor
Affiliations:
1Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: Microarray-based techniques allow us to visualize and quantify the expression of every single gene in any population of cells. In yeast the true potential of large-scale transcriptome analysis in identifying regulatory units and understanding gene function has already been demonstrated by evaluating expression profiles of a comprehensive group of mutants. We discuss the potential of DNA-chip technologies for the analysis of gene expression in complex organisms. The usefulness of transcriptome analysis for clinical purposes und diagnosis of cancers is already well established. We argue that microarray-based expression profiling will also be a useful tool for the analysis of gene function and approaches complementary to classical phenotypic description in mammals, particularly in regard of the large resources of mutant models that are currently being generated by gene-targeting and mutagenesis of the mouse genome. Experimental requirements and potential future directions are discussed.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2002-03
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 27747
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Current Genomics
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 3 (3) Artikelnummer: - Start- / Endseite: 121 - 129 Identifikator: -