Literature DB >> 16305306

Statistics of assay validation in high throughput cell imaging of nuclear factor kappaB nuclear translocation.

Maurice M Morelock1, Edward A Hunter, Timothy J Moran, Susanne Heynen, Casey Laris, Michael Thieleking, Michael Akong, Ivana Mikic, Scott Callaway, Rodney P DeLeon, Angela Goodacre, David Zacharias, Jeffrey H Price.   

Abstract

This report describes statistical validation methods implemented on assay data for inhibition of subcellular redistribution of nuclear factor kappaB (NF kappaB) in HeLa cells. We quantified cellular inhibition of cytoplasmic-nuclear translocation of NF kappaB in response to a range of concentrations of interleukin-1 (IL-1) receptor antagonist in the presence of IL-1alpha using eight replicate rows in each four 96-well plates scanned five times on each of 2 days. Translocation was measured as the fractional localized intensity of the nucleus (FLIN), an implementation of our more general fractional localized intensity of the compartments (FLIC), which analyzes whole compartments in the context of the entire cell. The NF kappaB antagonist assay (inhibition of IL-1- induced NF kappaB translocation) data were collected on a Q3DM (San Diego, CA) EIDAQtrade mark 100 high throughput microscopy system. [In 2003, Q3DM was purchased by Beckman Coulter Inc. (Fullerton, CA), which released the IC 100 successor to the EIDAQ 100.] The generalized FLIC method is described along with two-point (minimum-maximum) and multiple point titration statistical methods. As a ratio of compartment intensities that tend to change proportionally, FLIN was resistant to photobleaching errors. Two-point minimum-maximum statistical analyses yielded the following: a Z' of 0.174 with the data as n = 320 independent well samples; Z' by row data in a range of 0.393-0.933, with a mean of 0.766; by-plate Z' data of 0.310, 0.443, 0.545, and 0.794; and by-plate means of columns Z' data of 0.879, 0.927, 0.945, and 0.963. The mean 50% inhibitory concentration (IC50) for IL-1 receptor antagonist over all experiments was 213 ng/ml. The combined IC50 coefficients of variation (CVs) were 0.74%, 0.85%, 2.09%, and 2.52% for the four plates. Repeatability IC50 CVs were as follows: day to day 3.0%, row to row 8.0%, plate to plate 2.8%, and day to day 0.6%. The number of cells required for statistically resolvable differences in dose concentrations, plotted in a family of FLIN sigma/deltamicro (SD/range) curves and tabulated, demonstrated cell-by-cell assay precision with our combined sigma/deltamicro = 0.32 that required approximately 10-fold fewer cells than in a previously reported NF kappaB assay with sigma/deltamicro = 1.52. To better understand the relationship between cell-by-cell measurements and IC50 precision, 500 Monte Carlo simulations with varying cell-measurement SDs were used to explore three-, five-, seven-, and 11-point model titrations. The reductions in deltaIC50 90% confidence intervals from 11- to three-point titrations were 10-fold with the previously reported sigma/deltamicro = 1.52 and twofold with our sigma/deltamicro = 0.32. With these normalized parameters, this report provides a common statistical foundation, independent of the assay details, for evaluating the performance of imaging data on any instrument.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16305306     DOI: 10.1089/adt.2005.3.483

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  14 in total

1.  The myImageAnalysis project: a web-based application for high-content screening.

Authors:  Adam T Szafran; Michael A Mancini
Journal:  Assay Drug Dev Technol       Date:  2014 Jan-Feb       Impact factor: 1.738

2.  Quantitative high-throughput screening: a titration-based approach that efficiently identifies biological activities in large chemical libraries.

Authors:  James Inglese; Douglas S Auld; Ajit Jadhav; Ronald L Johnson; Anton Simeonov; Adam Yasgar; Wei Zheng; Christopher P Austin
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-24       Impact factor: 11.205

3.  Cell segmentation using coupled level sets and graph-vertex coloring.

Authors:  Sumit K Nath; Kannappan Palaniappan; Filiz Bunyak
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

4.  Quantification of lipid droplets and associated proteins in cellular models of obesity via high-content/high-throughput microscopy and automated image analysis.

Authors:  Patrick M McDonough; Ramses M Agustin; Randall S Ingermanson; Patricia A Loy; Benjamin M Buehrer; James B Nicoll; Natalie L Prigozhina; Ivana Mikic; Jeffrey H Price
Journal:  Assay Drug Dev Technol       Date:  2009-10       Impact factor: 1.738

5.  Computational Systems Bioinformatics and Bioimaging for Pathway Analysis and Drug Screening.

Authors:  Xiaobo Zhou; Stephen T C Wong
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2008-08-01       Impact factor: 10.961

6.  Exploration of chromatic aberration for multiplanar imaging: proof of concept with implications for fast, efficient autofocus.

Authors:  Martin Weinigel; Albert L Kellner; Jeffrey H Price
Journal:  Cytometry A       Date:  2009-12       Impact factor: 4.355

7.  Active mask segmentation of fluorescence microscope images.

Authors:  Gowri Srinivasa; Matthew C Fickus; Yusong Guo; Adam D Linstedt; Jelena Kovacević
Journal:  IEEE Trans Image Process       Date:  2009-04-17       Impact factor: 10.856

8.  A comparative analysis of standard microtiter plate reading versus imaging in cellular assays.

Authors:  Paul J Bushway; Mark Mercola; Jeffrey H Price
Journal:  Assay Drug Dev Technol       Date:  2008-08       Impact factor: 1.738

9.  Regulation of SRC-3 intercompartmental dynamics by estrogen receptor and phosphorylation.

Authors:  Larbi Amazit; Luigi Pasini; Adam T Szafran; Valeria Berno; Ray-Chang Wu; Marylin Mielke; Elizabeth D Jones; Maureen G Mancini; Cruz A Hinojos; Bert W O'Malley; Michael A Mancini
Journal:  Mol Cell Biol       Date:  2007-07-23       Impact factor: 4.272

10.  A fluorescence-based screen for ribosome binding antibiotics.

Authors:  Derrick Watkins; F A Norris; Sunil Kumar; Dev P Arya
Journal:  Anal Biochem       Date:  2012-12-19       Impact factor: 3.365

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.