Literature DB >> 16359434

Targeted discovery tools: proteomics and chromatin immunoprecipitation-on-chip.

Xavier Le Guezennec1, Arie B Brinkman, Michiel Vermeulen, Sergeï G Denissov, Cinzia Gazziola, Marion E Lohrum, Henk G Stunnenberg.   

Abstract

Despite the availability of several completely sequenced genomes, we are still, for the most part, ignorant about how genes interact and regulate each other within a given cell type to specify identity, function and cellular memory. A realistic model of cellular regulation based on current knowledge indicates that many interacting networks operate at the epigenetic, transcriptional, translational and post-translational levels, with feedback between the various levels. Protein-protein and protein-DNA interactions help to define which genes may be activated in a particular cell, and determine whether external cues cause activation or repression. New technologies, e.g. proteomics using mass spectrometry, high-density DNA or oligonucleotide microarrays (chips), and chromatin immunoprecipitation (ChIP), provide new and exciting tools for deciphering the pathways and proteins controlling gene expression. Analysis of these pathways offers new insight that aids targeted drug development.

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Year:  2005        PMID: 16359434     DOI: 10.1111/j.1464-410X.2005.05942.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  3 in total

Review 1.  Protein-DNA/RNA Interactions: An Overview of Investigation Methods in the -Omics Era.

Authors:  Flora Cozzolino; Ilaria Iacobucci; Vittoria Monaco; Maria Monti
Journal:  J Proteome Res       Date:  2021-05-07       Impact factor: 4.466

Review 2.  Contribution of oncoproteomics to cancer biomarker discovery.

Authors:  William C S Cho
Journal:  Mol Cancer       Date:  2007-04-02       Impact factor: 27.401

3.  Optimized design and assessment of whole genome tiling arrays.

Authors:  Stefan Gräf; Fiona G G Nielsen; Stefan Kurtz; Martijn A Huynen; Ewan Birney; Henk Stunnenberg; Paul Flicek
Journal:  Bioinformatics       Date:  2007-07-01       Impact factor: 6.937

  3 in total

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