Literature DB >> 16680709

Hyperchromatic cytometry principles for cytomics using slide based cytometry.

Anja Mittag1, Dominik Lenz, Andreas O H Gerstner, Attila Tárnok.   

Abstract

BACKGROUND: Polychromatic analysis of biological specimens has become increasingly important because of the emerging new fields of high-content and high-throughput single cell analysis for systems biology and cytomics. Combining different technologies and staining methods, multicolor analysis can be pushed forward to measure anything stainable in a cell. We term this approach hyperchromatic cytometry and present different components suitable for achieving this task. For cell analysis, slide based cytometry (SBC) technologies are ideal as, unlike flow cytometry, they are non-consumptive, i.e. the analyzed sample is fixed on the slide and can be reanalyzed following restaining of the object. METHODS AND
RESULTS: We demonstrate various approaches for hyperchromatic analysis on a SBC instrument, the Laser Scanning Cytometer. The different components demonstrated here include (1) polychromatic cytometry (staining of the specimen with eight or more different fluorochromes simultaneously), (2) iterative restaining (using the same fluorochrome for restaining and subsequent reanalysis), (3) differential photobleaching (differentiating fluorochromes by their different photostability), (4) photoactivation (activating fluorescent nanoparticles or photocaged dyes), and (5) photodestruction (destruction of FRET dyes). Based on the ability to relocate cells that are immobilized on a microscope slide with a precision of approximately 1 microm, identical cells can be reanalyzed on the single cell level after manipulation steps.
CONCLUSION: With the intelligent combination of several different techniques, the hyperchromatic cytometry approach allows to quantify and analyze all components of relevance on the single cell level. The information gained per specimen is only limited by the number of available antibodies and sterical hindrance.

Mesh:

Year:  2006        PMID: 16680709     DOI: 10.1002/cyto.a.20285

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


  8 in total

Review 1.  [Cytomics and predictive medicine for oncology].

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

Review 2.  Flow cytometry and laser scanning cytometry, a comparison of techniques.

Authors:  William J Mach; Amanda R Thimmesch; James A Orr; Joyce G Slusser; Janet D Pierce
Journal:  J Clin Monit Comput       Date:  2010-07-13       Impact factor: 2.502

3.  Quantitative in situ analysis of FoxP3+ T regulatory cells on transplant tissue using laser scanning cytometry.

Authors:  Hidenori Takahashi; Phillip Ruiz; Camillo Ricordi; Victor Delacruz; Atsushi Miki; Atsuyoshi Mita; Ryosuke Misawa; Scott Barker; George W Burke; Andreas G Tzakis; Hirohito Ichii
Journal:  Cell Transplant       Date:  2011-09-16       Impact factor: 4.064

Review 4.  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

5.  Integrative omics - An arsenal for drug discovery.

Authors:  Rahul Soloman Singh; Vani Angra; Ashutosh Singh; Gladson David Masih; Bikash Medhi
Journal:  Indian J Pharmacol       Date:  2022 Jan-Feb       Impact factor: 2.833

Review 6.  Advances in toponomics drug discovery: Imaging cycler microscopy correctly predicts a therapy method of amyotrophic lateral sclerosis.

Authors:  Walter Schubert
Journal:  Cytometry A       Date:  2015-04-13       Impact factor: 4.355

7.  AccPbFRET: an ImageJ plugin for semi-automatic, fully corrected analysis of acceptor photobleaching FRET images.

Authors:  János Roszik; János Szöllosi; György Vereb
Journal:  BMC Bioinformatics       Date:  2008-08-19       Impact factor: 3.169

Review 8.  Systematic, spatial imaging of large multimolecular assemblies and the emerging principles of supramolecular order in biological systems.

Authors:  Walter Schubert
Journal:  J Mol Recognit       Date:  2014-01       Impact factor: 2.137

  8 in total

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