Literature DB >> 16844964

Multiparametric cell cycle analysis by automated microscopy.

Fabio Gasparri1, Paolo Cappella, Arturo Galvani.   

Abstract

Cell cycle analysis using flow cytometry (FC) to measure cellular DNA content is a common procedure in drug mechanism of action studies. Although this technique lends itself readily to cell lines that grow in suspension, adherent cell cultures must be resuspended in a cumbersome and potentially invasive procedure that normally involves trypsinization and mechanical agitation of monolayer cultures. High-content analysis (HCA), an automated microscopy-based technology, is well suited to analysis of monolayer cell cultures but provides intrinsically less accurate determination of cellular DNA content than does FC and thus is not the method of choice for cell cycle analysis. Using Cellomics's ArrayScan reader, the authors have developed a 4-color multiparametric HCA approach for cell cycle analysis of adherent cells based on detection of DNA content (4,6-diamidino-2-phenylindole [DAPI] fluorescence), together with the known cell cycle markers bromo-2-deoxyuridine (BrdU) incorporation, cyclin B1 expression, and histone H3 (Ser28) phosphorylation within a single cell population. Considering all 4 markers together, a reliable and accurate quantification of cell cycle phases was possible, as compared with flow cytometric analysis. Using this assay, specific cell cycle blocks induced by treatment with thymidine, paclitaxel, or nocodazole as test drugs were easily monitored in adherent cultures of U-2 OS osteosarcoma cells.

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Year:  2006        PMID: 16844964     DOI: 10.1177/1087057106289406

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  12 in total

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2.  Uracil DNA N-glycosylase promotes assembly of human centromere protein A.

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3.  Mechanism of action of novel piperazine containing a toxicant against human liver cancer cells.

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Journal:  PeerJ       Date:  2016-03-17       Impact factor: 2.984

Review 4.  Applications of high content screening in life science research.

Authors:  Joseph M Zock
Journal:  Comb Chem High Throughput Screen       Date:  2009-11       Impact factor: 1.339

5.  CellProfiler Analyst: data exploration and analysis software for complex image-based screens.

Authors:  Thouis R Jones; In Han Kang; Douglas B Wheeler; Robert A Lindquist; Adam Papallo; David M Sabatini; Polina Golland; Anne E Carpenter
Journal:  BMC Bioinformatics       Date:  2008-11-15       Impact factor: 3.169

6.  Androgen receptor functional analyses by high throughput imaging: determination of ligand, cell cycle, and mutation-specific effects.

Authors:  Adam T Szafran; Maria Szwarc; Marco Marcelli; Michael A Mancini
Journal:  PLoS One       Date:  2008-11-03       Impact factor: 3.240

7.  Multiparametric Cell Cycle Analysis Using the Operetta High-Content Imager and Harmony Software with PhenoLOGIC.

Authors:  Andrew J Massey
Journal:  PLoS One       Date:  2015-07-28       Impact factor: 3.240

8.  Apoptotic effect of novel Schiff based CdCl₂(C₁₄H₂₁N₃O₂) complex is mediated via activation of the mitochondrial pathway in colon cancer cells.

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Journal:  Sci Rep       Date:  2015-03-13       Impact factor: 4.379

9.  A Schiff base-derived copper (II) complex is a potent inducer of apoptosis in colon cancer cells by activating the intrinsic pathway.

Authors:  Maryam Hajrezaie; Mohammadjavad Paydar; Soheil Zorofchian Moghadamtousi; Pouya Hassandarvish; Nura Suleiman Gwaram; Maryam Zahedifard; Elham Rouhollahi; Hamed Karimian; Chung Yeng Looi; Hapipah Mohd Ali; Nazia Abdul Majid; Mahmood Ameen Abdulla
Journal:  ScientificWorldJournal       Date:  2014-03-05

10.  Novel piperazine core compound induces death in human liver cancer cells: possible pharmacological properties.

Authors:  Nima Samie; Sekaran Muniandy; M S Kanthimathi; Batoul Sadat Haerian; Raja Elina Raja Azudin
Journal:  Sci Rep       Date:  2016-04-13       Impact factor: 4.379

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