Literature DB >> 10405824

Chromatin texture analysis in living cells.

C Rousselle1, S Paillasson, M Robert-Nicoud, X Ronot.   

Abstract

In recent years, there has been an increasing interest in applications of fluorescence measurements to studies on many physiological mechanisms in living cells. However, few studies have taken advantage of DNA quantification by fluorometry for dynamic assessment of chromatin organization. This type of approach involves both optimal conditions for DNA staining and the use of image cytometry. In this context, this report describes the application of an internal grey-level segmentation method for the assessment of real time modifications of chromatin organization in living cells. These developments are based on a specific, stoichiometric method for nuclear DNA content measurement. Preliminary data obtained from Hela cells suggests the possibility of following variations of nuclear texture (heterogeneity, granularity, condensation, radial distribution) related to the cell cycle progression of cells that are maintained alive.

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Year:  1999        PMID: 10405824     DOI: 10.1023/a:1003579732506

Source DB:  PubMed          Journal:  Histochem J        ISSN: 0018-2214


  4 in total

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Journal:  J Histochem Cytochem       Date:  2001-11       Impact factor: 2.479

2.  Three-dimensional texture analysis of renal cell carcinoma cell nuclei for computerized automatic grading.

Authors:  T Y Kim; H J Choi; H G Hwang; H K Choi
Journal:  J Med Syst       Date:  2009-04-08       Impact factor: 4.460

3.  Nuclear DNA methylation and chromatin condensation phenotypes are distinct between normally proliferating/aging, rapidly growing/immortal, and senescent cells.

Authors:  Jin Ho Oh; Arkadiusz Gertych; Jian Tajbakhsh
Journal:  Oncotarget       Date:  2013-03

4.  Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images.

Authors:  Michael Chiang; Sam Hallman; Amanda Cinquin; Nabora Reyes de Mochel; Adrian Paz; Shimako Kawauchi; Anne L Calof; Ken W Cho; Charless C Fowlkes; Olivier Cinquin
Journal:  BMC Bioinformatics       Date:  2015-11-25       Impact factor: 3.169

  4 in total

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