Literature DB >> 10967322

Gene expression profiling: monitoring transcription and translation products using DNA microarrays and proteomics.

J E Celis1, M Kruhøffer, I Gromova, C Frederiksen, M Ostergaard, T Thykjaer, P Gromov, J Yu, H Pálsdóttir, N Magnusson, T F Orntoft.   

Abstract

Novel and powerful technologies such as DNA microarrays and proteomics have made possible the analysis of the expression levels of multiple genes simultaneously both in health and disease. In combination, these technologies promise to revolutionize biology, in particular in the area of molecular medicine as they are expected to reveal gene regulation events involved in disease progression as well as to pinpoint potential targets for drug discovery and diagnostics. Here, we review the current status of these technologies and highlight some studies in which they have been applied in concert to the analysis of biopsy specimens.

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Year:  2000        PMID: 10967322     DOI: 10.1016/s0014-5793(00)01771-3

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  35 in total

Review 1.  Molecular genetics of heat tolerance and heat shock proteins in cereals.

Authors:  Elena Maestri; Natalya Klueva; Carla Perrotta; Mariolina Gulli; Henry T Nguyen; Nelson Marmiroli
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

Review 2.  Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of corresponding genes, and comparison with known responses.

Authors:  Björn Usadel; Axel Nagel; Oliver Thimm; Henning Redestig; Oliver E Blaesing; Natalia Palacios-Rojas; Joachim Selbig; Jan Hannemann; Maria Conceição Piques; Dirk Steinhauser; Wolf-Rüdiger Scheible; Yves Gibon; Rosa Morcuende; Daniel Weicht; Svenja Meyer; Mark Stitt
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

Review 3.  Personalized medicine and development of targeted therapies: The upcoming challenge for diagnostic molecular pathology. A review.

Authors:  Manfred Dietel; Christine Sers
Journal:  Virchows Arch       Date:  2006-04-22       Impact factor: 4.064

4.  Algorithms for finding small attractors in Boolean networks.

Authors:  Shu-Qin Zhang; Morihiro Hayashida; Tatsuya Akutsu; Wai-Ki Ching; Michael K Ng
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

Review 5.  Application of OMICS technologies in occupational and environmental health research; current status and projections.

Authors:  J Vlaanderen; L E Moore; M T Smith; Q Lan; L Zhang; C F Skibola; N Rothman; R Vermeulen
Journal:  Occup Environ Med       Date:  2009-11-20       Impact factor: 4.402

6.  Global survey of protein expression during gonadal sex determination in mice.

Authors:  Katherine Ewen; Mark Baker; Dagmar Wilhelm; R John Aitken; Peter Koopman
Journal:  Mol Cell Proteomics       Date:  2009-07-17       Impact factor: 5.911

Review 7.  Functional proteomics of breast cancer for signal pathway profiling and target discovery.

Authors:  Hubert Hondermarck; Laurent Dollé; Ikram El Yazidi-Belkoura; Anne-Sophie Vercoutter-Edouart; Eric Adriaenssens; Jérôme Lemoine
Journal:  J Mammary Gland Biol Neoplasia       Date:  2002-10       Impact factor: 2.673

Review 8.  Proteomics in studies of signal transduction in epithelial cells.

Authors:  Serhiy Souchelnytskyi
Journal:  J Mammary Gland Biol Neoplasia       Date:  2002-10       Impact factor: 2.673

9.  SIAH2 protein expression in breast cancer is inversely related with ER status and outcome to tamoxifen therapy.

Authors:  Kimberly D van der Willik; Mieke M Timmermans; Carolien Hm van Deurzen; Maxime P Look; Esther A Reijm; Wendy Jhp van Zundert; Renée Foekens; Anita Mac Trapman-Jansen; Michael A den Bakker; Pieter J Westenend; John Wm Martens; Els Mjj Berns; Maurice Phm Jansen
Journal:  Am J Cancer Res       Date:  2016-01-15       Impact factor: 6.166

10.  Proteome changes in Thai indigenous chicken muscle during growth period.

Authors:  Tawatchai Teltathum; Supamit Mekchay
Journal:  Int J Biol Sci       Date:  2009-10-28       Impact factor: 6.580

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