Literature DB >> 15170595

Cytomics--new technologies: towards a human cytome project.

G Valet1, J F Leary, A Tárnok.   

Abstract

BACKGROUND: Molecular cell systems research (cytomics) aims at the understanding of the molecular architecture and functionality of cell systems (cytomes) by single-cell analysis in combination with exhaustive bioinformatic knowledge extraction. In this way, loss of information as a consequence of molecular averaging by cell or tissue homogenisation is avoided. PROGRESS: The cytomics concept has been significantly advanced by a multitude of current developments. Amongst them are confocal and laser scanning microscopy, multiphoton fluorescence excitation, spectral imaging, fluorescence resonance energy transfer (FRET), fast imaging in flow, optical stretching in flow, and miniaturised flow and image cytometry within laboratories on a chip or laser microdissection, as well as the use of bead arrays. In addition, biomolecular analysis techniques like tyramide signal amplification, single-cell polymerase chain reaction (PCR), and the labelling of biomolecules by quantum dots, magnetic nanobeads, or aptamers open new horizons of sensitivity and molecular specificity at the single-cell level. Data sieving or data mining of the vast amounts of collected multiparameter data for exhaustive multilevel bioinformatic knowledge extraction avoids the inadvertent loss of information from unknown molecular relations being inaccessible to an a priori hypothesis. CHALLENGE: It seems important to address the challenge of a human cytome project using hypothesis-driven molecular information collection from disease associated cell systems, supplemented by systematic and exhaustive knowledge extraction. This will allow the description of the molecular setup of normal and abnormal cell systems within a relational knowledge system, permitting the standardised discrimination of abnormal cell states in disease. As one of the consequences, individualised predictions of further disease course in patients (predictive medicine by cytomics) by characteristic discriminatory data patterns will permit individualised therapies, identification of new pharmaceutical targets, and establishment of a standardised framework of relevant molecular alterations in disease. This special issue of Cytometry, on new technologies in cytomics, focuses on prominent examples of this presently fast-moving scientific field, and represents one of the preconditions for the formulation of a human cytome project. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2004        PMID: 15170595     DOI: 10.1002/cyto.a.20047

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  12 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.  Cytomics emerging from cytometry.

Authors:  A Tárnok; G Brockhoff
Journal:  Cell Prolif       Date:  2006-10       Impact factor: 6.831

3.  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

4.  High-throughput microscopy must re-invent the microscope rather than speed up its functions.

Authors:  M Oheim
Journal:  Br J Pharmacol       Date:  2007-07-02       Impact factor: 8.739

Review 5.  [Cytomics and predictive medicine for oncology].

Authors:  A O H Gerstner; W Laffers
Journal:  HNO       Date:  2008-04       Impact factor: 1.284

Review 6.  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

7.  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

8.  Tissue microarrays as a platform for proteomic investigation.

Authors:  Joon-Yong Chung; Till Braunschweig; Kimberly Tuttle; Stephen M Hewitt
Journal:  J Mol Histol       Date:  2006-09-05       Impact factor: 3.156

9.  Exhaustive expansion: A novel technique for analyzing complex data generated by higher-order polychromatic flow cytometry experiments.

Authors:  Janet C Siebert; Lian Wang; Daniel P Haley; Ann Romer; Bo Zheng; Wes Munsil; Kenton W Gregory; Edwin B Walker
Journal:  J Transl Med       Date:  2010-10-30       Impact factor: 5.531

10.  Early detection in head and neck cancer - current state and future perspectives.

Authors:  Andreas O H Gerstner
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2010-10-07
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