Literature DB >> 12717684

Cytomics in predictive medicine.

Günter K Valet, Attila Tárnok.   

Abstract

Patient-specific, disease-course predictions with >95% or >99% accuracy during therapy would be highly valuable for everyday medicine. If these predictors were available, disease aggravation or progression, frequently accompanied by irreversible tissue damage or therapeutic side effects, could then potentially be avoided by early preventive therapy. The molecular analysis of heterogeneous cellular systems (cytomics) by cytometry in conjunction with pattern-oriented bioinformatic analysis of the multiparametric cytometric and other data provides a promising approach to individualized or personalized medical treatment or disease management. As a consequence, better patient care and new forms of inductive scientific hypothesis development based on the interpretation of predictive data patterns are at reach. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12717684     DOI: 10.1002/cyto.b.10035

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  7 in total

1.  Cytomics, the human cytome project and systems biology: top-down resolution of the molecular biocomplexity of organisms by single cell analysis.

Authors:  G Valet
Journal:  Cell Prolif       Date:  2005-08       Impact factor: 6.831

2.  Wide confocal cytometry: a new approach to study proteomic and structural changes in the cell nucleus during the cell cycle.

Authors:  Francisco J Iborra; Veronica Buckle
Journal:  Histochem Cell Biol       Date:  2007-11-08       Impact factor: 4.304

Review 3.  Diagnostic pathology and laboratory medicine in the age of "omics": a paper from the 2006 William Beaumont Hospital Symposium on Molecular Pathology.

Authors:  William G Finn
Journal:  J Mol Diagn       Date:  2007-07-25       Impact factor: 5.568

4.  Unraveling human complexity and disease with systems biology and personalized medicine.

Authors:  Stephen Naylor; Jake Y Chen
Journal:  Per Med       Date:  2010-05       Impact factor: 2.512

Review 5.  Cytomics - importance of multimodal analysis of cell function and proliferation in oncology.

Authors:  A Tárnok; J Bocsi; G Brockhoff
Journal:  Cell Prolif       Date:  2006-12       Impact factor: 6.831

6.  Automated quantification of DNA demethylation effects in cells via 3D mapping of nuclear signatures and population homogeneity assessment.

Authors:  Arkadiusz Gertych; Kolja A Wawrowsky; Erik Lindsley; Eugene Vishnevsky; Daniel L Farkas; Jian Tajbakhsh
Journal:  Cytometry A       Date:  2009-07       Impact factor: 4.355

Review 7.  Role of circulating lymphocytes in patients with sepsis.

Authors:  Raul de Pablo; Jorge Monserrat; Alfredo Prieto; Melchor Alvarez-Mon
Journal:  Biomed Res Int       Date:  2014-08-28       Impact factor: 3.411

  7 in total

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